Register and and get free Certificate for the course: glacad.me/3kcgi7T 🔹 Topics Covered: Introduction - 00:00:00 1. Statistics vs Machine Learning - 00:02:22 2. Types of Statistics [Descriptive, Prescriptive and Predictive - 00:09:05 3. Types of Data - 1:50:45 4. Correlation - 2:46:02 5. Covariance - 2:52:33 6. Introduction to Probability - 4:26:55 7. Conditional Probability with Baye’s Theorem - 5:24:00 8. Binomial Distribution - 6:17:01 9. Poisson Distribution - 6:36:02
Unable to figure out which course this is on the sight. Also unable to figure out what that book is. It is difficult to scroll back and forth. Spent a lot of time trying to find the class on the site and trying to find a book with the green thing in front. Very frustrating all round.
Absolutely the best video on statistics that I have found on RUclips - and I've viewed several such videos. I like that the professor explains a topic from many angles, has charisma, patience with class questions and includes many real-world examples. It's the perfect blend of theory and applied statistics.
He is really a great professor. I have been studying statistics since school and then using years for my profession. However, the way he teach and explain from one chapter to another chapter and subject is super. Thanks
00:02 Statistics forms the basis of all data science concepts 02:09 Different approaches in statistical and machine learning thinking 06:39 Understanding data questions for analysis 08:51 Understanding the three-step process of descriptive, predictive, and prescriptive analysis. 13:18 Self-driving cars should stop for pedestrians without sudden braking 15:28 Doctors use data analytics to recommend blood tests based on symptoms. 19:38 Blood samples from different parts of the body vary due to asymmetry 21:32 Blood sugar testing and interpretation 25:45 Descriptive analytics aims to understand certain things about data to reach conclusions more rigorously. 27:47 Understanding the implications of ranges and thresholds in statistics 31:53 Understanding customer characteristics and product market fit in business. 33:51 Understanding data preparation and visualization in Python 38:13 Understanding the calculations for descriptive statistics 40:22 Determining a representative value for a variable. 44:44 Understanding probabilities and descriptions 47:27 Understanding mean and median in statistics 51:43 Understanding the concept of Right skewed data distribution. 53:35 Understanding skewness in data 57:51 The book explains concepts but not coding syntax. 59:35 Statistics is important for data science but choose your battles wisely. 1:04:08 Variance measures the variability of data. 1:06:17 Gauss's victory in the argument over the use of mean absolute deviation 1:10:41 Bank balances are rarely equal to your actual average bank balance. 1:12:59 The range and interquartile range are important measures of dispersion in statistics. 1:17:14 Storing real data requires metadata, adding complexity to data storage 1:19:18 Histograms visually represent data distribution 1:23:14 Data is often transformed to fit specific algorithms and needs 1:24:54 Struggle between doing the right thing and the wrong thing in data science. 1:28:59 Understanding histogram and box plot in data analysis 1:31:12 Understanding box plots and whiskers in statistics 1:35:55 Box plot for numerical data and cross tab for categorical data 1:37:53 Data description and analysis for statistics 1:42:20 Univariate analysis focuses on studying one variable at a time 1:45:28 Understanding histograms as a visual tool for data distribution 1:49:54 Fitness variable can be treated as an ordinal categorical variable. 1:52:16 Data can be misinterpreted as a different type, e.g. a number being analyzed as a category. 1:56:41 Using statistics to understand future customer behavior 1:59:10 Understanding the concept of distributions in statistics. 2:03:05 Statistics involves abstracting away from the data to estimate the underlying true distribution. 2:05:05 Understanding the concept of sampling variability. 2:08:38 Understanding distribution and density functions. 2:10:47 Using statistics to make strategic decisions 2:14:59 Estimating population mean with uncertainty 2:16:56 Understanding variation and prediction in statistics 2:20:56 Sampling more data helps understand unknown distributions 2:22:52 Challenges of utilizing big data for making efficient use of information 2:26:40 Statisticians make assumptions about data distributions to simplify calculations. 2:28:35 Different industries have their own favorite distributions based on their data form. 2:32:28 Understanding the importance of model generalizability 2:34:26 Estimating unknown population parameter using mean or median 2:38:33 Heavy tail distribution impacts mean and median differently. 2:40:39 Understanding the concept of mode in statistics 2:44:43 Exploring bivariate analysis and correlation 2:46:53 Understanding pairs of observations and calculating the average 2:52:24 Covariance measures the relationship between X and Y. 2:55:04 Price and profit have a positive correlation. 2:59:02 Normalization of units for statistical analysis is critical. 3:01:17 Correlation measures the linear relationship between variables. 3:06:42 Low correlation means no relationship between variables 3:08:59 The relationship between height and weight in healthy individuals 3:13:21 Correlation measures the relationship between variables. 3:15:16 Heat maps provide visual representation of correlation and relationships between variables 3:19:43 Regression has 3 uses: descriptive, predictive, and prescriptive 3:22:06 Explaining regression analysis and interpretation of regression coefficients 3:27:03 Understanding statistical quality assessment in data science 3:29:19 Hypothesis testing helps determine the predictive power of variables in the model. 3:33:44 Beta 1 provides flexibility for better model fitting. 3:36:05 Prediction and forecasting in statistics 3:40:37 Describing the nature of the relationship between variables using linear regression 3:42:54 Visualization can be done in multiple dimensions in Python for data summarization. 3:47:37 Finding the best line to describe data points. 3:50:17 Linear regression minimizes the sum of square distances from the data. 3:55:00 Machine learning algorithms aim to come closest to the expected output based on the input. 3:56:55 Algorithms in data science compare predictions with actuality to minimize distance. 4:01:01 Algorithm generalization through test validation 4:02:48 Measuring correctness and closeness is essential for predictive models 4:06:36 Estimating A and B through minimization 4:09:02 Linear regression and the calculation of the line equation 4:13:31 Using equations for descriptive analysis 4:15:23 Learning statistical computations and calculations. 4:22:12 Understanding the units in linear regression 4:24:49 Importance of normalizing numbers in hypothesis testing 4:28:24 Distinguishing between experimental and observational studies 4:30:28 Importance of designing experiments 4:34:26 Calculating the probability of multiple defects 4:36:43 Calculating the probability of at least two defective parts in a sample space. 4:41:44 Independence in probability allows for multiplication of probabilities 4:43:49 Probability and Statistics Laws 4:49:09 Analyzing the chances of selling children's books to three potential buyers 4:51:09 Click through rate measures the percentage of people who click on an ad after seeing it. 4:54:56 Probability is a number between 0 and 1, representing the likelihood of an event. 4:56:49 Wave function collapse in quantum physics 5:01:21 Probability of events occurring together and independently 5:04:05 Understanding joint probability and conditional probability 5:08:27 Understanding set theory and the multiplication rule in probability theory 5:11:06 Understanding independence and probability 5:15:39 Calculating the probability of getting two adjacent seats on a flight without pre-booking. 5:17:49 Conditional and marginal probability explained with an example 5:22:28 Understanding marginal and conditional probabilities 5:24:52 Probability of spam given words is used to determine if an email is spam or not. 5:29:55 Bayes' theorem is central to machine learning 5:32:09 Bayes' theorem is a foundation for supervised learning 5:36:05 Probabilistic way of thinking in data science 5:38:16 Teaching a computer to have a sense of value and make decisions similar to humans. 5:42:25 Learning system provides probabilities, decision is up to you 5:44:23 Threshold for answering questions based on certainty 5:48:07 Evolution of information transference in the computing world. 5:50:11 Calculating probability of HIV given positive test 5:55:38 Understanding the 95% accuracy of a test 5:58:11 Probability and statistics in disease testing 6:02:57 Implications of multiple tests on probability 6:04:57 Bayes' theorem helps in understanding the probability of an event given certain conditions. 6:09:38 Calculating the probability of spam given the presence of congratulations. 6:12:26 Probability of an email being spam based on the presence of specific words 6:16:55 The binomial distribution counts the number of successes out of n trials. 6:19:47 Probability distribution of accounts paying on time 6:24:26 Understanding the binomial distribution for calculating probabilities 6:26:47 Understanding the concept of combinations 6:31:28 Probability of timely payments in a business context 6:33:48 Calculating the probability of bill payments for business revenue estimation. 6:37:40 Calculating probability for future bill payments 6:39:44 Understanding the concept of Target P and its application in various scenarios. 6:43:48 Calculating the probability for a given range using computational reasons 6:46:07 Understanding the normal distribution and its implications in probability and statistics. 6:50:51 Using statistical principles to estimate average and standard deviation without access to data. 6:52:44 Calculating probability using normal distribution 6:58:48 Mean and standard deviation can be used to make assumptions about the data distribution. 7:01:16 Normal distribution is often used as an assumption based on the central limit theorem. 7:05:20 Understanding the importance of differentiating between business and tech questions in data science. 7:07:19 Importance of normality in calculations and reliability of numbers 7:11:27 Achieving Six Sigma for high quality production
Wow, what a great course with an awesome professor. He goes way beyond teaching the mechanics of statistics but makes distinctions and asks thought provoking questions that really help you crystallize in your head what you are trying to do.
As practicing design engineer in West Cost medical industry, I find Professor Dr. Sarkar way of explaining the most complex subject in a practical approach very rewarding and helps in right metal representation for long term understanding. Although I have taken similar courses in Stanford paying close to 2K plus USD came out even more confused and even gave up statistical approach . Thanks for sharing for free and hope this benefits the transition from Excel based modeling to Python and would highly recommend to any one working with data and design.
Fantastic course! For those who have a fear factor of stats and probability, this course will certainly will help allay those fears. Dr. Sarkar focused on concepts with perfect analogies which helps understand the subject better. Thank you Dr. Sarkar.
We're glad that we could help you Bhanu. Do subscribe to Great Learning for more such amazing content. Alternatively, you can also check out Great Learning Academy for more such free Courses with certification here: glacad.me/FreeCourses_1000Hours
the best lecture till date i've ever heard i've read engineering statistics but the way sir conducts his lectures speaks volumes about his experiance while dealing with newbies, this lecture should be standard procedure for absolute intermediates like me who have a little bit of knowledge but are transitioning into advanced levels. Thank you Great Learning for this amazing tutorial hope you upload some more...
Thank You so much Sushant. Thank you for your encouraging words. Comments like there make our day. We will be uploading more videos, meanwhile, don't forget to subscribe to our channel. :)
James Stewart Enjoyed Dr. Sarkar statistics for data science course he described many areas that are now trending in businesses and private industries. I copied and write down many of the ideas and applications for descriptive, predictive, and prescriptive applications. I also enjoyed his input for book learning with Python and other books as well as many of the problems he solved using Python and R programming.
Wonderful content and presentation, I feel like I missed Dr.Sarkar sir all these days. Thanks to greatlearning team for these lectures. It will be great if a video is made up on time series Analysis also. Thanks team for all your effort and introduce to us the great professor Dr.Sarkar sir.
Hi @anil, we are glad that you find our video helpful. We do have video on Time Series Analysis, you can check this link: ruclips.net/video/FPM6it4v8MY/видео.html. Do subscribe to our channel for more video and attend our live session that happen everyday. Thank You
Hi @Britney, we are glad you liked this video. Every day we release such informative videos, do subscribe to check all our videos and we hope you will learn a lot from them. Thank you:)
This was really the best course I Did, Learned alot and earned the certificate of completion as well.Thank you so much Great Learning for this Beautiful content and Dr.Abhinanda Sarkar Sir is the best is explaining things.Thank you very much @GreatLearning
1:49:07 @ Great Learning It is because we have two eyes on a horizontal line. left and right are assosiated with horzontal directions. switching of left and right is about how our eyes interpret the directions. So mirror image swithces the left and right, not the top and bottom. If our eyes were vertically aligned, the top and bottom would have switched in mirror. top and bottom orientations of objects are not affected by the horizontal alignment of our eyes. The relative positions of the top and bottom parts of objects remain the same in relation to our eyes and the mirror. Therefore, we do not interpret the mirror's reflection as reversing the top and bottom directions.
I am actually surprised this was conducted in English considering that both their students and channel audience are Indians. Thank you for spreading knowledge for the rest of the world as well
Dr Sarkar is brilliant!! His style is captivating and makes foreign concepts so much easier to understand. Which video would you suggest for those not familiar with python? I've watched the first 35mins but now he's gone into Python and I don't think I'm ready to continue watching the rest just yet.
Wow, I am really happy to see the Great Learning to come on RUclips and sharing their content. Quality is not questionable at all, best content in the market, I wonder how amazingly these students have been prepared.
We are glad that this video helped you. Please do share this video with your peers and also do subscribe to our channel as we will soon come up with more full course videos
Knowledge, passion and Intellect of Dr. Sarkar is clearly reflected in this workshop. What a wonderful way of teaching ! I loved the content of the course as well.Crisp and to the point. I'm glad that I decided to pursue this course.
We're glad that we could help you Janesh. Do subscribe to Great Learning for more such amazing content. Alternatively, you can also check out Great Learning Academy for more such free Courses with certification here: glacad.me/FreeCourses_1000Hours
Dr. Sarkar, I bow to you. :-) You are such a fantastic teacher. Many statisticians have knowledge but only handful like you can explain the concepts so beautifully and make them approachable. After listening to you for almost 6 hours, I can hear your voice everywhere now. lol! especially when I am reading difficult subject matter! Note: as I am watching this in 2024 and after going through covid, the comment made by a student at 6:03:01 about the possibility of an epidemic which he thinks is rare hit hard. Edit: I am done with the course in about 3 days. I never enjoyed statistics this much even when I was in college and now I do! I have new appreciation. Thank you Dr. Sarkar and the awesome folks at great learning for making this available for free. 🙂
Glad we could help. Please share this video with your peers so that everyone has access to high-quality teaching. Also do subscribe to our channel for notifications on upcoming videos
Started watching the lecture from morning 9 and completed it now i.e., 3 in noon. Made all the notes... Sir's lecture is definitely a blessing for anyone and everyone. Thankyou very much sir for clearing all my doubts of descriptive stats and probability.🙏🙏
I am sorry but this course when I just show it for the first time I directly realize that this teacher is not an Indian because I never see someone who speaks English like him in my school. he is really amazing teacher you must watch it
We're glad that you liked the tutorial. Do subscribe to Great Learning for more such amazing content. Alternatively, you can also check out Great Learning Academy for more such free Courses with certification here: glacad.me/FreeCourses_1000Hours
Glad that you liked the video. Please do share it with your peers so that everyone can have access to high quality teaching. Also, subscribe to our channel as we will be coming up with more such videos.
Hi @Divya, we are glad that you liked our video. Every day we release such informative videos on our RUclips channel. Stay tuned and keep supporting us:)
Just bcz of the reason of spoon feeding explanation with experiences, the Indians are rocking at silicon valley. Hats off to his presentation skills with real life illustrations.
BMI is actually wt by height squared. Body Mass Index (BMI) is a person’s weight in kilograms divided by the square of height in meters. A high BMI can be an indicator of high body fatness.
Kudos to the Professor. Unarguably one of the best videos on statistics. Refreshed the concepts in one go and in such an unambiguous manner!! Although, is this a Stanford class in USA? Can see only Indians :P
We're glad that you liked the tutorial. Do subscribe to Great Learning for more such amazing content. Alternatively, you can also check out Great Learning Academy for more such free Courses with certification here: glacad.me/FreeCourses_1000Hours
We are glad you found our video helpful. If you want to also do assessments and projects along with learning the course please visit and enroll for the free course on our website here: glacad.me/FreeCourses_1000Hours If you complete the courses and the assessments here you will also get a certificate of completion.
Dr.Sarkar is truly awesome! Please share this video with your peers so that everyone can learn from the best. Also do subscribe to our channel so that you get a notification of our upcoming videos
Makes immense sense coming from the land of Indian Statistical Institute Calcutta. The institution know for CR Rao and the University of Calcutta alum.
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Just started. content is interesting and the teacher is wonderful. One major technical issue is that the subtitle is wrong and misleading so many times because the pronunciation is not picked up properly. Please re do it and revalidate the tool used. This will really help people inside and outside India .
Hi, we are glad that you liked this video. Every day we release such informative videos. Do subscribe to check all the videos, and we hope you will learn a lot from them. Thank you for supporting us:)
I absolutely love Dr. Sarkar's ability to cater to any kind of audience. He visited our university for a few lectures and his were the only classes that we would be eagerly waiting for. Are there any technical and more detailed courses that he teaches in Statistics?
Amazing session! Studied stats from few sources, but felt much clarity in this lecture. Apt usage of examples and explained working behind formulae, solved many doubts and made the problem solving intuitive.
Only gifted teachers teach you how to think. Dr. Sarkar is an immensely gifted teacher. Thoroughly enjoyed this lecture. Thanks @greatlearning for making this content available to the broader learner community.
Fantastic Video from an awesome professor. Very well explained Statistics concepts with Practical Examples of Real Life. Very few can do this. Thank you Dr Sarkar and Great Learning for posting this video. Please share more videos Dr Sarkar related to Statistics and AI . Regards-Amit Tiwari
Great Learning offers a range of extensive Data Science courses that enable candidates for diverse work professions in Data Science and other trending domains. The faculty team of the Data Science Courses comprises top academicians in Data Science along with many skilled industry practitioners from leading organizations that practice Data Science. Over 500+ Hiring Partners & 8000+ career transitions over varied domains. Know More: glacad.me/3whKUsQ
hi great learning.. I have downloaded your app and taking classes regularly...i want to know that when the assignments will be accessible? after taking how many classes i can open assignments???? please reply
Hi, the assignments will be available to you after you have watched all the videos of that module. If you are experiencing any technical issue please contact our customer support. We'll try our best to help you out.
I am pursuing M.Tech right now from CSE branch. My college wants to us to write a research paper in M.Tech.But I have no interest to write a research paper. I want to only focus on my skills and after that getting job into a good mnc company. So, I have a doubt regarding this. My doubt is that "For getting a job in MNC or a good company (in ML/AI) , will I should write a research paper or I should focus only on my required skills for ML/AI with no research paper writing. Will company also demands for the research paper along with my domain skills." Please -Please sir, Please reply to me . Now I am very much confuses.
First of all thank you @Abhinandan Sarkar sir and @GreatLearning for posting this video. I haven't seen such a clear explaination with real life examples before. Excellent Content for beginners like me started Learning Data science .
After attending this 7hrs+ class I realized this man is a God of Statistics. What a knowledge and what a delivery. Huge Respect. Believe me your knowledge and interest on Probability and statistics will multiply after watching it.
Thank you for those kind words, Mrinal! We at Great Learning are immensely joyed to be of help to learners like you! Do subscribe to our channel for any future updates. :)
:) Please do share the video so that everyone has access to high-quality content. Also do subscribe to our channel so that you get notification of our upcoming videos
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Register and and get free Certificate for the course: glacad.me/3kcgi7T
🔹 Topics Covered:
Introduction - 00:00:00
1. Statistics vs Machine Learning - 00:02:22
2. Types of Statistics [Descriptive, Prescriptive and Predictive - 00:09:05
3. Types of Data - 1:50:45
4. Correlation - 2:46:02
5. Covariance - 2:52:33
6. Introduction to Probability - 4:26:55
7. Conditional Probability with Baye’s Theorem - 5:24:00
8. Binomial Distribution - 6:17:01
9. Poisson Distribution - 6:36:02
Unable to figure out which course this is on the sight. Also unable to figure out what that book is. It is difficult to scroll back and forth. Spent a lot of time trying to find the class on the site and trying to find a book with the green thing in front. Very frustrating all round.
Dear Sir, kindly put the link for the course material.
Median : "Age of the avg person."
Mean : "Avg age of a person"
Absolutely the best video on statistics that I have found on RUclips - and I've viewed several such videos. I like that the professor explains a topic from many angles, has charisma, patience with class questions and includes many real-world examples. It's the perfect blend of theory and applied statistics.
Thanks for the appreciation. Please do share this video with your peers and subscribe to our channel.
He is really a great professor. I have been studying statistics since school and then using years for my profession. However, the way he teach and explain from one chapter to another chapter and subject is super. Thanks
The way the professor teaches is simply mind-blowing . Full credits to the team who made the entire session free!.
@ritika4298 bhai tune kya kiya ...jawab mila kya
00:02 Statistics forms the basis of all data science concepts
02:09 Different approaches in statistical and machine learning thinking
06:39 Understanding data questions for analysis
08:51 Understanding the three-step process of descriptive, predictive, and prescriptive analysis.
13:18 Self-driving cars should stop for pedestrians without sudden braking
15:28 Doctors use data analytics to recommend blood tests based on symptoms.
19:38 Blood samples from different parts of the body vary due to asymmetry
21:32 Blood sugar testing and interpretation
25:45 Descriptive analytics aims to understand certain things about data to reach conclusions more rigorously.
27:47 Understanding the implications of ranges and thresholds in statistics
31:53 Understanding customer characteristics and product market fit in business.
33:51 Understanding data preparation and visualization in Python
38:13 Understanding the calculations for descriptive statistics
40:22 Determining a representative value for a variable.
44:44 Understanding probabilities and descriptions
47:27 Understanding mean and median in statistics
51:43 Understanding the concept of Right skewed data distribution.
53:35 Understanding skewness in data
57:51 The book explains concepts but not coding syntax.
59:35 Statistics is important for data science but choose your battles wisely.
1:04:08 Variance measures the variability of data.
1:06:17 Gauss's victory in the argument over the use of mean absolute deviation
1:10:41 Bank balances are rarely equal to your actual average bank balance.
1:12:59 The range and interquartile range are important measures of dispersion in statistics.
1:17:14 Storing real data requires metadata, adding complexity to data storage
1:19:18 Histograms visually represent data distribution
1:23:14 Data is often transformed to fit specific algorithms and needs
1:24:54 Struggle between doing the right thing and the wrong thing in data science.
1:28:59 Understanding histogram and box plot in data analysis
1:31:12 Understanding box plots and whiskers in statistics
1:35:55 Box plot for numerical data and cross tab for categorical data
1:37:53 Data description and analysis for statistics
1:42:20 Univariate analysis focuses on studying one variable at a time
1:45:28 Understanding histograms as a visual tool for data distribution
1:49:54 Fitness variable can be treated as an ordinal categorical variable.
1:52:16 Data can be misinterpreted as a different type, e.g. a number being analyzed as a category.
1:56:41 Using statistics to understand future customer behavior
1:59:10 Understanding the concept of distributions in statistics.
2:03:05 Statistics involves abstracting away from the data to estimate the underlying true distribution.
2:05:05 Understanding the concept of sampling variability.
2:08:38 Understanding distribution and density functions.
2:10:47 Using statistics to make strategic decisions
2:14:59 Estimating population mean with uncertainty
2:16:56 Understanding variation and prediction in statistics
2:20:56 Sampling more data helps understand unknown distributions
2:22:52 Challenges of utilizing big data for making efficient use of information
2:26:40 Statisticians make assumptions about data distributions to simplify calculations.
2:28:35 Different industries have their own favorite distributions based on their data form.
2:32:28 Understanding the importance of model generalizability
2:34:26 Estimating unknown population parameter using mean or median
2:38:33 Heavy tail distribution impacts mean and median differently.
2:40:39 Understanding the concept of mode in statistics
2:44:43 Exploring bivariate analysis and correlation
2:46:53 Understanding pairs of observations and calculating the average
2:52:24 Covariance measures the relationship between X and Y.
2:55:04 Price and profit have a positive correlation.
2:59:02 Normalization of units for statistical analysis is critical.
3:01:17 Correlation measures the linear relationship between variables.
3:06:42 Low correlation means no relationship between variables
3:08:59 The relationship between height and weight in healthy individuals
3:13:21 Correlation measures the relationship between variables.
3:15:16 Heat maps provide visual representation of correlation and relationships between variables
3:19:43 Regression has 3 uses: descriptive, predictive, and prescriptive
3:22:06 Explaining regression analysis and interpretation of regression coefficients
3:27:03 Understanding statistical quality assessment in data science
3:29:19 Hypothesis testing helps determine the predictive power of variables in the model.
3:33:44 Beta 1 provides flexibility for better model fitting.
3:36:05 Prediction and forecasting in statistics
3:40:37 Describing the nature of the relationship between variables using linear regression
3:42:54 Visualization can be done in multiple dimensions in Python for data summarization.
3:47:37 Finding the best line to describe data points.
3:50:17 Linear regression minimizes the sum of square distances from the data.
3:55:00 Machine learning algorithms aim to come closest to the expected output based on the input.
3:56:55 Algorithms in data science compare predictions with actuality to minimize distance.
4:01:01 Algorithm generalization through test validation
4:02:48 Measuring correctness and closeness is essential for predictive models
4:06:36 Estimating A and B through minimization
4:09:02 Linear regression and the calculation of the line equation
4:13:31 Using equations for descriptive analysis
4:15:23 Learning statistical computations and calculations.
4:22:12 Understanding the units in linear regression
4:24:49 Importance of normalizing numbers in hypothesis testing
4:28:24 Distinguishing between experimental and observational studies
4:30:28 Importance of designing experiments
4:34:26 Calculating the probability of multiple defects
4:36:43 Calculating the probability of at least two defective parts in a sample space.
4:41:44 Independence in probability allows for multiplication of probabilities
4:43:49 Probability and Statistics Laws
4:49:09 Analyzing the chances of selling children's books to three potential buyers
4:51:09 Click through rate measures the percentage of people who click on an ad after seeing it.
4:54:56 Probability is a number between 0 and 1, representing the likelihood of an event.
4:56:49 Wave function collapse in quantum physics
5:01:21 Probability of events occurring together and independently
5:04:05 Understanding joint probability and conditional probability
5:08:27 Understanding set theory and the multiplication rule in probability theory
5:11:06 Understanding independence and probability
5:15:39 Calculating the probability of getting two adjacent seats on a flight without pre-booking.
5:17:49 Conditional and marginal probability explained with an example
5:22:28 Understanding marginal and conditional probabilities
5:24:52 Probability of spam given words is used to determine if an email is spam or not.
5:29:55 Bayes' theorem is central to machine learning
5:32:09 Bayes' theorem is a foundation for supervised learning
5:36:05 Probabilistic way of thinking in data science
5:38:16 Teaching a computer to have a sense of value and make decisions similar to humans.
5:42:25 Learning system provides probabilities, decision is up to you
5:44:23 Threshold for answering questions based on certainty
5:48:07 Evolution of information transference in the computing world.
5:50:11 Calculating probability of HIV given positive test
5:55:38 Understanding the 95% accuracy of a test
5:58:11 Probability and statistics in disease testing
6:02:57 Implications of multiple tests on probability
6:04:57 Bayes' theorem helps in understanding the probability of an event given certain conditions.
6:09:38 Calculating the probability of spam given the presence of congratulations.
6:12:26 Probability of an email being spam based on the presence of specific words
6:16:55 The binomial distribution counts the number of successes out of n trials.
6:19:47 Probability distribution of accounts paying on time
6:24:26 Understanding the binomial distribution for calculating probabilities
6:26:47 Understanding the concept of combinations
6:31:28 Probability of timely payments in a business context
6:33:48 Calculating the probability of bill payments for business revenue estimation.
6:37:40 Calculating probability for future bill payments
6:39:44 Understanding the concept of Target P and its application in various scenarios.
6:43:48 Calculating the probability for a given range using computational reasons
6:46:07 Understanding the normal distribution and its implications in probability and statistics.
6:50:51 Using statistical principles to estimate average and standard deviation without access to data.
6:52:44 Calculating probability using normal distribution
6:58:48 Mean and standard deviation can be used to make assumptions about the data distribution.
7:01:16 Normal distribution is often used as an assumption based on the central limit theorem.
7:05:20 Understanding the importance of differentiating between business and tech questions in data science.
7:07:19 Importance of normality in calculations and reliability of numbers
7:11:27 Achieving Six Sigma for high quality production
Wow, what a great course with an awesome professor. He goes way beyond teaching the mechanics of statistics but makes distinctions and asks thought provoking questions that really help you crystallize in your head what you are trying to do.
Thank you so much for your kind words
Unable to locate course on great learning and unable to figure out what that book is called.
@@misstmemrs The course links are right there in the info section of this video and the book appears to be Business Statistics by David Levine
@@tyron9304 thank you!
@@greatlearninginIIIijj
As practicing design engineer in West Cost medical industry, I find Professor Dr. Sarkar way of explaining the most complex subject in a practical approach very rewarding and helps in right metal representation for long term understanding. Although I have taken similar courses in Stanford paying close to 2K plus USD came out even more confused and even gave up statistical approach . Thanks for sharing for free and hope this benefits the transition from Excel based modeling to Python and would highly recommend to any one working with data and design.
love how engaging the teacher makes this
Fantastic course! For those who have a fear factor of stats and probability, this course will certainly will help allay those fears. Dr. Sarkar focused on concepts with perfect analogies which helps understand the subject better. Thank you Dr. Sarkar.
We're glad that we could help you Bhanu. Do subscribe to Great Learning for more such amazing content. Alternatively, you can also check out Great Learning Academy for more such free Courses with certification here: glacad.me/FreeCourses_1000Hours
A good teacher is a worthy citizen of this world,best creator. Excellent.
Hi, thank you for your kind words. We are glad you liked our video. Stay tuned for more such informative videos:)
the best lecture till date i've ever heard i've read engineering statistics but the way sir conducts his lectures speaks volumes about his experiance while dealing with newbies, this lecture should be standard procedure for absolute intermediates like me who have a little bit of knowledge but are transitioning into advanced levels. Thank you Great Learning for this amazing tutorial hope you upload some more...
Thank You so much Sushant. Thank you for your encouraging words. Comments like there make our day. We will be uploading more videos, meanwhile, don't forget to subscribe to our channel. :)
James Stewart
Enjoyed Dr. Sarkar statistics for data science course he described many areas that are now trending in businesses and private industries. I copied and write down many of the ideas and applications for descriptive, predictive, and prescriptive applications. I also enjoyed his input for book learning with Python and other books as well as many of the problems he solved using Python and R programming.
3:08:30 BMI is actually Weight/(Height)^2, where height is in meters and weight in kilograms
Very easy explanation, I can watch this many times instead of watching a movie or web series, seems like someone narrating a beautiful story
Wonderful content and presentation, I feel like I missed Dr.Sarkar sir all these days. Thanks to greatlearning team for these lectures. It will be great if a video is made up on time series Analysis also. Thanks team for all your effort and introduce to us the great professor Dr.Sarkar sir.
Hi @anil, we are glad that you find our video helpful. We do have video on Time Series Analysis, you can check this link: ruclips.net/video/FPM6it4v8MY/видео.html. Do subscribe to our channel for more video and attend our live session that happen everyday. Thank You
@@greatlearning Live session and more for the field? Can we connect at 9432274745
@@greatlearning T5tr5t5tt5 5
@@greatlearning Lpqooo
Incredible teaching by Dr. Abhinanda Sarkar! Thank you, thank you!!!
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This was really the best course I Did, Learned alot and earned the certificate of completion as well.Thank you so much Great Learning for this Beautiful content and Dr.Abhinanda Sarkar Sir is the best is explaining things.Thank you very much @GreatLearning
Which course was it?
please which course are you talking about?
@@adegboyegajohnson1704 he is taking about the course you are looking at right now.
Fascinating Introduction about the difference between statisticians and data scientists
1:49:07
@ Great Learning
It is because we have two eyes on a horizontal line. left and right are assosiated with horzontal directions. switching of left and right is about how our eyes interpret the directions. So mirror image swithces the left and right, not the top and bottom. If our eyes were vertically aligned, the top and bottom would have switched in mirror.
top and bottom orientations of objects are not affected by the horizontal alignment of our eyes. The relative positions of the top and bottom parts of objects remain the same in relation to our eyes and the mirror. Therefore, we do not interpret the mirror's reflection as reversing the top and bottom directions.
The real talent of the professor is being able to deal with such students so calmly
I am greatly impressed with this lecture. So simplified with imaginable analogies. Thank you so much sir and the greatlearning team.
I am actually surprised this was conducted in English considering that both their students and channel audience are Indians. Thank you for spreading knowledge for the rest of the world as well
We are glad you found our video helpful. Comments like these make our day. Thank You so much!
Hi, you'd be surprised to know that a lot of Indians prefer to communicate in English. :)
We are glad to know that you found this helpful
@@greatlearning thanks sir for this tutorial. Hats off to u.
@@johnwig285 Have you been living on Mars? Why wouldn't Indians teach and/or learn in English?
He taught us Time series Forecasting at Great Lakes Chennai campus. Amazing faculty!
Dr. Sarkar is surely an amazing teacher. Thank You.
Dr Sarkar is brilliant!! His style is captivating and makes foreign concepts so much easier to understand. Which video would you suggest for those not familiar with python? I've watched the first 35mins but now he's gone into Python and I don't think I'm ready to continue watching the rest just yet.
We have very few brilliant people like Mr Sarkar.... Great Person....Highly impressed.
Wow, I am really happy to see the Great Learning to come on RUclips and sharing their content. Quality is not questionable at all, best content in the market, I wonder how amazingly these students have been prepared.
We are glad that this video helped you. Please do share this video with your peers and also do subscribe to our channel as we will soon come up with more full course videos
Knowledge, passion and Intellect of Dr. Sarkar is clearly reflected in this workshop.
What a wonderful way of teaching !
I loved the content of the course as well.Crisp and to the point.
I'm glad that I decided to pursue this course.
We're glad that we could help you Janesh. Do subscribe to Great Learning for more such amazing content. Alternatively, you can also check out Great Learning Academy for more such free Courses with certification here: glacad.me/FreeCourses_1000Hours
Thanks a lot for putting up such great content. The instructor took a very practical approach to DS rather than just theories.
Dr. Sarkar, I bow to you. :-) You are such a fantastic teacher. Many statisticians have knowledge but only handful like you can explain the concepts so beautifully and make them approachable. After listening to you for almost 6 hours, I can hear your voice everywhere now. lol! especially when I am reading difficult subject matter!
Note: as I am watching this in 2024 and after going through covid, the comment made by a student at 6:03:01 about the possibility of an epidemic which he thinks is rare hit hard.
Edit: I am done with the course in about 3 days. I never enjoyed statistics this much even when I was in college and now I do! I have new appreciation. Thank you Dr. Sarkar and the awesome folks at great learning for making this available for free. 🙂
I am glad to see Great learning sharing the tutorial in you tube from the great mentors. Interested to see more videos like this from GL. Good.
Glad we could help. Please share this video with your peers so that everyone has access to high-quality teaching. Also do subscribe to our channel for notifications on upcoming videos
@@greatlearning Please send the code files and datasets related to this video. I've already filled the doc form, but no response from your side.
@@greatlearning is this tutorial sufficient for P&S
Started watching the lecture from morning 9 and completed it now i.e., 3 in noon. Made all the notes... Sir's lecture is definitely a blessing for anyone and everyone. Thankyou very much sir for clearing all my doubts of descriptive stats and probability.🙏🙏
hey bro there are two long videos on this channel from the same teacher opn stats and probability are both differtent videos?
We need professors like these who make Statistics a very intresting subject
I am sorry but this course when I just show it for the first time I directly realize that this teacher is not an Indian because I never see someone who speaks English like him in my school. he is really amazing teacher you must watch it
Watch Shashi Tharoor !!
Oh boy , what an irony. Of all things English came in mind !
mean - median => positive ( Right Skew ) and mean - median => negative ( Left Skew )
This really is quality teaching from an extremely knowledgeable professor! Thank you very much for this video.
Your most welcome.
Yea nice video
❤️❤️❤️ Aaja mere paas
So thankful to thechinahacks for helping me out .They got me a transfer of $36,000 yesterday
What basics should I know before watching this lectures?
The best explanation of independent and mutually exclusive events; joint probability and conditional probability that I've come across. Thank you
We're glad that you liked the tutorial. Do subscribe to Great Learning for more such amazing content. Alternatively, you can also check out Great Learning Academy for more such free Courses with certification here: glacad.me/FreeCourses_1000Hours
I saw first time a person teaching at this age in such a good base of voice really nice work
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I am a master's student in structural engineering. and this man is a legend
Starting this today! Thank you so much for making this available. The professor is a fantastic teacher!
hainnnn?
Hi @Divya, we are glad that you liked our video. Every day we release such informative videos on our RUclips channel. Stay tuned and keep supporting us:)
Love this, so many "whys" answered.
Just bcz of the reason of spoon feeding explanation with experiences, the Indians are rocking at silicon valley.
Hats off to his presentation skills with real life illustrations.
Sir has so much knowledge and so spontaneous , lucky students who got to attend live
This teacher is genius!!!
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Please don't take down these precious videos!
....at least, let these remain on RUclips for a year!
Thank you so much for these
Don't worry! We won't be removing these videos. These videos have been on our channel for nearly a year.
Amazingly simplified with real examples from different verticals of Industry. Thank you Dhanyavad and Namaskaram
Sir teaching was just simple and powerfull. That's why it generates intersect.
Great courses without Great Professor s it is impossible to learns about real worlds problem experiences.
these type of lecturers are not less than GOD
BMI is actually wt by height squared. Body Mass Index (BMI) is a person’s weight in kilograms divided by the square of height in meters. A high BMI can be an indicator of high body fatness.
Kudos to the Professor. Unarguably one of the best videos on statistics. Refreshed the concepts in one go and in such an unambiguous manner!!
Although, is this a Stanford class in USA? Can see only Indians :P
*Sir, you are a magical person who can make lots of difference in the learning process of an Actuator*
We're glad that you liked the tutorial. Do subscribe to Great Learning for more such amazing content. Alternatively, you can also check out Great Learning Academy for more such free Courses with certification here: glacad.me/FreeCourses_1000Hours
Never thought learning stats would be that Amazing!!
best video tutorials I have ever found on RUclips
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He is teaching with great enthusiasm.👏👏👏
One of the best lectures that I have seen on the subject.
The course is for a serious beginner, who wants to get solid foundations in the subject.
We are glad you found our video helpful. If you want to also do assessments and projects along with learning the course please visit and enroll for the free course on our website here: glacad.me/FreeCourses_1000Hours If you complete the courses and the assessments here you will also get a certificate of completion.
So is this a foundation course or complete course?
I wish I could have had a statistics teacher like this.
Dr.Sarkar is truly awesome! Please share this video with your peers so that everyone can learn from the best. Also do subscribe to our channel so that you get a notification of our upcoming videos
Great learning is always Great Learning...
Thanks Santosh for appreciating :)
Makes immense sense coming from the land of Indian Statistical Institute Calcutta. The institution know for CR Rao and the University of Calcutta alum.
Excellent! Prof. Sarkar is a great teacher. Looking forward for more videos in near future.
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Kudos to Dr.Abhinanda Sarkar. I enjoyed every minute detail of this lecture.
This the most easy to understand video on the subject. Many Thanks to Professor and GL
We are required to master the Advanced Statistics and this set of Videos will be indispensable.
Glad we could help :)
He is one of those professors to whom you just want to say hi, so that you can put that on your resume 😇
Wow! Thank you for posting this statistics marathon session by Dr.Abhinanda Sarkar. Exactly what I needed!
Glad we could help :)
Just started. content is interesting and the teacher is wonderful. One major technical issue is that the subtitle is wrong and misleading so many times because the pronunciation is not picked up properly. Please re do it and revalidate the tool used. This will really help people inside and outside India .
This a brilliant video. Full credit to the lecturer.Its so comprehensive and covers so much content.
Hi, we are glad that you liked this video. Every day we release such informative videos. Do subscribe to check all the videos, and we hope you will learn a lot from them. Thank you for supporting us:)
I absolutely love Dr. Sarkar's ability to cater to any kind of audience. He visited our university for a few lectures and his were the only classes that we would be eagerly waiting for. Are there any technical and more detailed courses that he teaches in Statistics?
This is a goldmine sir. He is amazing. Thank you for this video.
professionally perfect. Glad that i pursue this course.
Brilliant presentation!
So interesting.
Thank you Dr. Sarkar.
amazing content for data science professionals to strong up foundation level in field of statistics.
One of the best explanation of Statistics,I have seen ever 😍
This professor is slinging wisdom, dropping it like it’s hot! 😂🎉
Amazing session! Studied stats from few sources, but felt much clarity in this lecture. Apt usage of examples and explained working behind formulae, solved many doubts and made the problem solving intuitive.
THANKS FOR THE QUALITY VIDEO
RESPECT YOUR HARD WORK BEHIND IT
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Only gifted teachers teach you how to think. Dr. Sarkar is an immensely gifted teacher. Thoroughly enjoyed this lecture. Thanks @greatlearning for making this content available to the broader learner community.
Thank you for your kind words Karthik. Please do subscribe to our channel so that you get notification of our new videos
Thank you Great Learning and Dr Sarkar.
Thank you Dr Abhinand Sarkar sir and Great learning. This lecture cleared lot of gaps in important topics.
Hey, Thank You for your appreciation. We are glad we could help. :)
Fantastic Video from an awesome professor. Very well explained Statistics concepts with Practical Examples of Real Life. Very few can do this. Thank you Dr Sarkar and Great Learning for posting this video. Please share more videos Dr Sarkar related to Statistics and AI . Regards-Amit Tiwari
Great Learning offers a range of extensive Data Science courses that enable candidates for diverse work professions in Data Science and other trending domains. The faculty team of the Data Science Courses comprises top academicians in Data Science along with many skilled industry practitioners from leading organizations that practice Data Science. Over 500+ Hiring Partners & 8000+ career transitions over varied domains. Know More: glacad.me/3whKUsQ
hi great learning.. I have downloaded your app and taking classes regularly...i want to know that when the assignments will be accessible? after taking how many classes i can open assignments???? please reply
How to buy this whole course ????? please send me the link
Hi, the assignments will be available to you after you have watched all the videos of that module. If you are experiencing any technical issue please contact our customer support. We'll try our best to help you out.
I am pursuing M.Tech right now from CSE branch. My college wants to us to write a research paper in M.Tech.But I have no interest to write a research paper. I want to only focus on my skills and after that getting job into a good mnc company. So, I have a doubt regarding this. My doubt is that "For getting a job in MNC or a good company (in ML/AI) , will I should write a research paper or I should focus only on my required skills for ML/AI with no research paper writing. Will company also demands for the research paper along with my domain skills."
Please -Please sir, Please reply to me . Now I am very much confuses.
Listen to it at 6:03:08 The person was onto something. The epidemic became real.
First of all thank you @Abhinandan Sarkar sir and @GreatLearning for posting this video. I haven't seen such a clear explaination with real life examples before. Excellent Content for beginners like me started Learning Data science .
India gives shape positively to the world by wise people. Regards
Thank You! We are glad you like our video. :)
Here is our full course video on 'Machine Learning with Python':
ruclips.net/video/RnFGwxJwx-0/видео.html
Love and respect from Pakistan Dr. Sarkar. I would want to visit India and sit in of your lectures.
We are glad you found this helpful. Comments like these make our day. Thank You so much! :)
However, it doesn't matter for Statistics class but I guess @3:09 formula for BMI should be weight/(height)2. Great course. Enjoying it!
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Great Video!! I'm thankful to you! this quality of explanations is costly! Thank you again!
Glad you liked it. Subscribe to our RUclips channel for more videos!
Nice video. Better than my teachers in Italy
Hi Stentella, where in Italy are you studing Machine Learnin
Thanks a lot. Glad we could help
Excellent Processor 🙏
Thank You Dr. Sarkar. The video was quite informative. I learned these concepts very well now.
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After attending this 7hrs+ class I realized this man is a God of Statistics. What a knowledge and what a delivery. Huge Respect. Believe me your knowledge and interest on Probability and statistics will multiply after watching it.
Thank you for those kind words, Mrinal! We at Great Learning are immensely joyed to be of help to learners like you! Do subscribe to our channel for any future updates. :)
What beautiful lessons, what an inspiring teacher!
Wonderful lecture, cheers to the professor.
Simply amazing...All this for free. Thank you so much
Glad we could help!😇 Make sure to hit the bell icon so that you never miss any update from us.
Legends not teach, they motivate, sarkar legend, hats off
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This deserves more and more views
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amazing teaching... Thank you!
Best class that I ever had
An amazing course with such a great tutor!!!!!!
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3:44:40.. the things written on the board is the basics of statistics
Yes it is. :)
it really help understand data science
with clear concepts.