Live Day 1- Introduction To statistics In Data Science
HTML-код
- Опубликовано: 21 авг 2024
- Here All the materials will be uploaded.
github.com/kri...
The Oneneuron Lifetime subscription has been extended.
In Oneneuron platform you will be able to get 100+ courses(Monthly atleast 20 courses will be added based on your demand)
Features of the course
1. You can raise any course demand.(Fulfilled within 45-60 days)
2. You can access innovation lab from ineuron.
3. You can use our incubation based on your ideas
4. Live session coming soon(Mostly till Feb)
Use Coupon code KRISH10 for addition 10% discount.
And Many More.....
Enroll Now
OneNeuron Link: one-neuron.ine...
Direct call to our Team incase of any queries
8788503778
6260726925
9538303385
866003424
Timestamps for session
01:31 Agenda
16:15 Introduction To Statistics
19:42 Types OF Statistics
30:20 Population And Sample
34:15 Sampling Techniques
53:00 Variables And Its Types
01:05:45 Variables Measurement Scales
01:13:23 Frequency Distribution
01:17:36 Bar Graph
01:18:47 Histograms
Check out the playlist of Statistics in hindi
ruclips.net/video/7y3XckjaVOw/видео.html
You are doing such an amazing job Krish. The greatest of all charity is educating people for free
Please don't drink redbull it is not good for your health Just an Advice!! And thanks for this videos
@Krish What is the headphone model you're using??
Where can I find above slides ?? @krishnaik or anyone
You have kept Stats in Playlist then why again this session?
16:39 what is statistics?
18:20 what is data?
21:00 types of statistics
30:00 Population and sample
34:24 Sampling technique(1) - Simple Random Sampling
37:50 Sampling technique(2) - Stratified Sampling
42:40 Sampling technique(3) - Systematic sampling
46:00 Sampling technique(4) - Convenient Sampling
53:00 variables
55:00 Types of variables
56:00 quantitative variables
56:45 qualitative variables
59:35 types of quantitative vars
1:06:15 Measurement of variables
1:14:10 Frequency Distribution
Bhai thankyou so much yaar
thanks bro accha kaam kiya
Thanks
pdf kha milga bhai
Thank you so much
This series is very close to my heart :) I remember I started my data analyst journey watching this series. Finally Associate Data analyst ♥️🙂
Hey, i too am preparing to be a data analyst. Can I ask a question regarding this?
hey can you pls share your insta id so that we can ask few questions, thanku
hey, have you get placed in any company for the DATA SCIENTIST job?
@@swatimadankar4623 how did it go? i enrolled in data analyst course recently
🎯 Key Takeaways for quick navigation:
00:21 📊 Descriptive statistics involve organizing and summarizing data.
16:39 📈 Inferential statistics use measured data to draw conclusions.
23:41 📊 Descriptive statistics example: Finding the average marks of a class.
27:57 📈 Inferential statistics example: Comparing the marks of a classroom to the entire college.
30:06 🌍 Population refers to the entire group, while a sample is a subset of the population.
31:17 📊 In exit polls, reporters use sample data from different regions to estimate voter preferences rather than surveying the entire population.
34:23 🎯 Simple random sampling involves randomly selecting individuals from a population without any specific criteria.
37:56 📈 Stratified sampling divides the population into non-overlapping groups (strata) based on specific characteristics for sampling.
43:04 🔢 Systematic sampling involves selecting every nth individual from a population for a survey.
45:47 🌐 Convenience sampling focuses on individuals with domain expertise or interest in a specific topic for a survey.
54:03 📏 Quantitative variables are properties that can take on numerical values, such as age, weight, and height.
56:34 📉 Discrete variables are whole numbers, like the number of bank accounts or children in a family.
01:00:13 📏 Continuous variables can have any value within a range, such as height, weight, or rainfall amounts.
01:03:34 📊 Data can be categorized into discrete and continuous variables, with examples like population being continuous and gender being categorical.
01:06:18 📏 There are four types of measurement scales for variables: nominal, ordinal, interval, and ratio.
01:07:38 🧾 Nominal data consists of categorical or qualitative variables like colors, gender, and types of flowers.
01:08:50 🏆 Ordinal data focuses on the order of values, where the value itself doesn't matter, such as ranking students by their marks.
01:11:04 🌡️ Interval data includes values where both order and value matter, but there is no natural zero point, like temperature in Fahrenheit.
01:14:11 📊 Frequency distribution tables help visualize the frequency of data categories, which is essential for creating bar charts and pie charts.
01:16:17 📈 Cumulative frequency adds up the frequencies progressively and helps determine the total count of data items.
01:19:49 📊 Bar graphs are suitable for discrete data, while histograms are used for continuous data. Histograms group data into bins for visualization.
01:24:14 📄 PDF (Probability Density Function) is a way to smooth histograms for continuous data, representing probability distribution functions.
Made with HARPA AI
This series is much better than Friends, Breathe, Sacred Games, Game of Thrones, etc, etc. :D
Thank you for giving me suggestions for TV series.
Haha 😂
No but important for education purpose and for entertainment game of thrones is better than it😂😂
You are doing an excellent job. Free education is more appreciable which needs a good heart. Thank you for your great service.
ماشاء اللہ.. سر آپ نے بہت ہی عمدہ طریقے سے سمجھایا.. Love u from 🇵🇰 بہت بہت شکریہ 🤗
Sir Krish Naik is more than an extra-ordinary teacher. He is an Angel in Human Form!!!
This interactive form of teaching and the patience you have is really very commendable!!! Thanks a ton!!!! As a self-learner in DS, this playlist is super helpful for me because its so easy to get lost in the ocean!! Much love!!
I've finally found the stats course in context of data science presented in a clear way with fine examples. 🤗
Enjoyed the session! Excited for day 2. Looking forward to more insightful content!
A very simple and easy explanation for interval data and ratio data is 0K, 0 F means absolute temperature. It doesn't mean that the temperature is absent. Where as the distance is ratio data, if the distance is 0 km, it means the distance is absent. The same goes for height and money.
Great teachers like YOU coming up with open education are a source to bring ind pak closer.
Love from 🇵🇰 for 🇮🇳
Thank you Krish for this amzing way of teaching. Totally understandable
Data is simply. Pieces of information!
You are the besttt teacher in this whole word .....god bless you sir!!! Try to become good teacher like you
After watching all statistics 7-day live sessions and now I have got so much confidence in stats, and I am very sure that I could learn data science subject. The way you teach is very clear and absolutely very easy to understand which I didn't find in my university. A Big Thanks to you Krish Naik ji for your great effort to help me and many students with your knowledge to shine their future and it is much appreciated. 🙏🙏🙏🙏🙏🙏🙏🙏🙏🙏🙏🙏🙏🙏🙏🙏🙏🙏🙏
Thank you for making statistics more interesting with your examples :)
@33:33 - N is used to denote population size and n to denote sample size. Size of the population and size of the population represents number of elements in the population and sample respectively.
Thank you so much sir, you are making us to break the fear levels of Learning data science :)
great session, I got to learn lots of things today
This is enough for study your data science statistics video with full of concept
Great job Krish, although I missed the live session because I didn't factor in very well the time zone. You make learning really interesting 😉. Thanks again and again
categorical variable will further divide in 3 categories, 1- Nominal Variable, 2- ordinal variable, 3-Binary variable. thank u for the informative session sir, it is very helpful
Everytime I watch krish videos or playlists feels good better than a movie which got nothing rather than waste of money.Thankful to be a part of watching great session
Fantastic session , wish i would be there in live session . Now I am getting intrested in data science due to statistics. Thanks you lot for providing this .
Really appreciate this course Krish sir, thank you!
Hi krish naik my name is najiib and i am from Somaliland which is in Somalia really your explanation was good and i understand much easier so keep goin krish thank lot
Best video I have ever seen on the RUclips ...thank you sir for free video and your hardworking
I love the way you are serious, and bring the sessions... May Allah bless you and your beloved ones...
I am currently attending iNeuron Full stack DS. You guys can teach!!!! Thank you.
shall I know Demba how was your experience and do u have any experience before enrolling..
@@datascientistoflife8550, I have been interested in programming for the last 5 years, but I never really did it on a professional level (I am working full-time in a completely different sector). I started learning Python a few months ago, before joining iNeuron. However, I find their way of teaching great; combining detailed explanations on a very basic level and building knowledge and expertise progressively on that, with a ton of assignments and projects, in addition to the doubt clearing sessions that allow every student to get live answers to his/her questions.
Ratio Variables:
Ratio variables have equal intervals between points on the scale and a true zero point, where zero indicates the absence of the variable being measured.
Examples: Height, weight, time (measured in seconds), age (years).
Thank you so so so so so so much krish sir!!!!
Great teacher, well-delivered-I love this guy's videos. Future data science enthusiast right here.
Excellent teacher, very involved. Thanks Krish
I'm glad i opened the video. Its ACTUALLY the best!
Best Teacher Ever for Data Science
Just the topic I was waiting for Krish. Thanks for sharing your knowledge with the data science community on youtube. You are the real MVP.
Beautifully Described, Loved the way you are teaching! Thanks for your efforts.
Ur literally the best person to go to for understanding anything
Ur a godsend for BCA students
THIS IS WHAT I NEEDED THANK YOU AND YOU ARE A GOOD TUTOR
Thank you very much for your valuable knowledge sharing. Great job.
Great work for effort statistics session 🙏🙏🙏
Thank you, Sir, भाऊ for everything, Thank you, Sir
Thank you , this class is my starting for statistics , thank you sir
Thankyou so much sir for sharing such a good information.
Easy to understand..to the point only
It is a wonderful stat playlist...this is what I was looking for the past month but I didn't get any precise content of stats...Thank you very much Krish for this amazing work by you
Very good for students
Very good explanation. Thanks it is very helpful.
But one query is there....
At stratifide sampling the example you gave(41:16) for age groups (0- 10) (10-20) (10-30)....... Here 10,20,30......is repeating and hence data will be overlap.
I think it should be( 0-10) , (11-20), (21-30)..... .
Thankkyou very much for teaching everything easily.You are my saviour🙏
That's Great! Thank you so much.
Very useful and informative video
what a an Excitement Watching Exactly 22/01/2023 uploaded 22/01/2022 thanks krish
Variable Measuring Scale:
1. Nominal: Numeric or Categorical
2. Ordinal: Numeric or Categorical and has order. Value does not matter. Eg: Military ranks, Class ranks.
3. Interval: Numeric or Categorical, it has an order, it has value, '0' absolute zero point not present. Eg: Fahrenheit temperature. There can be 95F and 100 F temperatures. The value of the difference between 80 and 85 is the same as the difference between 90 and 95. 0 F does not represent any meaning.
4. Ratio: Numeric or Categorical, Order matters, Value matters, Has absolute zero point. Eg: Kelvin scale. Having 0 K is having the lowest energy of water. The difference between the 2 temperatures also matters. Each temperature has its value.
Some other examples:
Customer satisfaction: satisfied, very satisfied, somewhat satisfied, somewhat unsatisfied -> Ordinal
Hat, Shirt, Shoes, Pant -> Nominal
City of birth -> Nominal
Income -> Ratio
GPA -> Interval
Happy learning!! Thanks, Krish for the video.
I was searching for a good statistics course i started like 5 courses and didn't like them but krish makes everything so simple and informative its absolutely amassing
I thought 'Convenience Sampling' is when researcher collects data from a conveniently available pool of samples around or near by him/her, hence it is called 'Convenience Sampling'.
Beyond words.. Thankuu Krish, enjoyed a lot.
it is really good lesson for any analitic guy. thank you very much
thankyou so much for bringing us such an amazing content free of cost. much respect.
Bar chart is for categorical variable and histogram is for continuous variables sir
You are awesome sir .. thank you so much for such informative videos..👏
This is a greate session Krish... Thanks for your effeort.
Superb sir ! compliments from Sri Lanka
Great Sir. Absolutely loved it. ❤️❤️❤️
Super sir... really u r doing good work and make others get confident.. also ur handwriting is superb
Good afternoon sir
Thank you krish keep doing new vedios, love from sri lanka
Really appreciate...👍👍👍plz complete all that will be use fr data science & analytics a great help....from a great mentor 👍
great session....thankyou
Keep giving such free classes. Thank You.
Nice video,You are the best teacher
Hello sir(@krish Naik),
Just now watched this video. Before watching this i am scared of statistics, after watching i got confidence that i can learn stats with ease. I think this playlist is my one stop destination for learning 📈stats in data science domain 📊.
Thank you 🙏 and kubos🙋♂🙋♂ to your work sir...................
awesome krish really its wonderfull. your free classes is diwali gift for me. thanks again
amazingly describe
I must say, Statistics was never easy for me, until you taught
In ratio data we have quantitative continuous dat we can have a 0 or it can not have negative values and values are in intervals and all intervals are equal
Example 0 - +10,+10 - +20
2nd example 5-10,10-15
Thanks 👍👍👍🙏👍🙏
Loving it
Superb video
Beautiful sir ♥️🥰
thank you krish naik for this amazing content
Fine sir
Please continue this series sir
Good 1st day session.
thank you very much for this excellent course
enjoyed all the sessions thoroughly
Very informative, thank you
Nice Explanation
@20:53 - Anything (any information) related to a real world entity that can be "recorded" is called data; literally everything cannot be "measured" but can be "recorded".
Its great sir lovely
Finallyyy, i have been waiting for thisbasic stuff.
best ever dear
excellent tutorial but your convenience sampling definition is incorrect. It is the method in which a sample is taken from a population that is close to hand or at ease of access, available
Great work
THANKS KRISH, SHAB-ba-Khair.
good
***** IMPORTANT *****
Convenience sampling
It is a non-probability sampling method where units are selected for inclusion in the sample because they are the easiest for the researcher to access.
This can be due to geographical proximity, availability at a given time, or willingness to participate in the research. Sometimes called accidental sampling, convenience sampling is a type of non-random sampling.
But He said wrong ig
Pls correct me if I'm wrong
finished watching