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AfterWork
Кения
Добавлен 6 авг 2020
Deep Dive Ep #7: How to Land a Data Science Job
Resources
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Practice Resources Link:
Get Started with Our Data Learning Paths
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1. Data Science with Python: afterwork.ai/challenge-signup/data-science-with-python-challenge
2. Data Engineering with Python: afterwork.ai/challenge-signup/data-engineering-with-python-learning-path
3. Machine Learning with Python: afterwork.ai/challenge-signup/machine-learning-with-python-learning-path
4. Data Analytics with Python: afterwork.ai/challenge-signup/data-analytics-with-python-challenge
5. Data Science with R: afterwork.ai/challenge-signup/data-science-with-with-r-challenge
6. Open AI Series: afterwork.ai/challenge-signup/open-ai-series-challenge
7. Python Programming Fundamentals: afterwo...
--------------
Practice Resources Link:
Get Started with Our Data Learning Paths
----
1. Data Science with Python: afterwork.ai/challenge-signup/data-science-with-python-challenge
2. Data Engineering with Python: afterwork.ai/challenge-signup/data-engineering-with-python-learning-path
3. Machine Learning with Python: afterwork.ai/challenge-signup/machine-learning-with-python-learning-path
4. Data Analytics with Python: afterwork.ai/challenge-signup/data-analytics-with-python-challenge
5. Data Science with R: afterwork.ai/challenge-signup/data-science-with-with-r-challenge
6. Open AI Series: afterwork.ai/challenge-signup/open-ai-series-challenge
7. Python Programming Fundamentals: afterwo...
Просмотров: 38
Видео
Deep Dive Ep #6: How to learn Python fast
Просмотров 792 месяца назад
The video covers eight strategies to speed up Python learning, emphasizing core fundamentals, daily practice, project-building, and understanding the Python ecosystem. It also suggests applying skills in real-world scenarios, using AI tools, joining learning communities, and regularly reviewing progress. Additionally, the video features a 3-month learning plan and a success story, illustrating ...
Deep Dive Ep #5: Data Science in Banking
Просмотров 512 месяца назад
The video explores the transformative impact of data science on banking in emerging markets, where it plays a crucial role in expanding financial services and promoting inclusion. Key applications of data science include enabling credit scoring for the unbanked, providing mobile-first banking options, and using advanced analytics for fraud detection and risk management. Data science also enhanc...
Deep Dive Ep #4: Data Science in Healthcare
Просмотров 662 месяца назад
The video sheds light on the transformative role of data science in healthcare, particularly within emerging markets. It discusses how data science tools and techniques are enhancing various aspects of healthcare-from diagnosing and treating patients more accurately to improving healthcare access in underserved rural areas. Additionally, it explores data-driven methods for streamlining hospital...
Deep Dive Ep #3: What is Data Engineering?
Просмотров 392 месяца назад
This video offers an in-depth look into the world of data engineering, unpacking the role’s responsibilities, benefits, and essential techniques. It explains why data engineering is crucial for both individuals seeking rewarding careers and organizations needing efficient data systems. Real-life project examples demonstrate the impactful work data engineers do, from managing data pipelines to o...
Deep Dive Ep #2: What is Data Science?
Просмотров 432 месяца назад
This video provides an insightful introduction to data science, breaking down its core concepts, essential tools, and real-world applications. It begins by defining data science as a field that combines various disciplines to extract meaningful insights from data, highlighting how both individuals and organizations can benefit from its transformative power. Through relatable examples, the video...
Deep Dive Ep #1: Staying Motivated as a Data Analyst
Просмотров 622 месяца назад
The video presents a collection of strategies for data analysts to stay motivated and productive in their work. It covers several areas, including recognizing and addressing challenges, setting SMART goals, embracing continuous learning, seeking feedback and mentorship, celebrating successes, finding inspiration and purpose, balancing work with self-care, and pursuing challenging opportunities....
Visualizing Financial Data Using Python Course
Просмотров 904 месяца назад
Resources Practice Resources Link: afterwork.ai/c/visualizing-financial-data-with-python Get Started with Our Data Learning Paths 1. Data Science with Python: afterwork.ai/challenge-signup/data-science-with-python-challenge 2. Data Engineering with Python: afterwork.ai/challenge-signup/data-engineering-with-python-learning-path 3. Machine Learning with Python: afterwork.ai/challenge-signup/mach...
Data Cleaning and Preprocessing for Banking Course
Просмотров 1094 месяца назад
Resources Practice Resources Link: afterwork.ai/c/data-cleaning-and-preprocessing-for-banking Get Started with Our Data Learning Paths 1. Data Science with Python: afterwork.ai/challenge-signup/data-science-with-python-challenge 2. Data Engineering with Python: afterwork.ai/challenge-signup/data-engineering-with-python-learning-path 3. Machine Learning with Python: afterwork.ai/challenge-signup...
Data Manipulation and Transformation with SQL Course
Просмотров 854 месяца назад
Resources Practice Resources Link: afterwork.ai/c/data-manipulation-and-transformation-with-sql Get Started with Our Data Learning Paths 1. Data Science with Python: afterwork.ai/challenge-signup/data-science-with-python-challenge 2. Data Engineering with Python: afterwork.ai/challenge-signup/data-engineering-with-python-learning-path 3. Machine Learning with Python: afterwork.ai/challenge-sign...
Joining Data with SQL Course
Просмотров 784 месяца назад
Resources Practice Resources Link: afterwork.ai/c/joining-data-with-sql Get Started with Our Data Learning Paths 1. Data Science with Python: afterwork.ai/challenge-signup/data-science-with-python-challenge 2. Data Engineering with Python: afterwork.ai/challenge-signup/data-engineering-with-python-learning-path 3. Machine Learning with Python: afterwork.ai/challenge-signup/machine-learning-with...
Introduction to SQL Course
Просмотров 1234 месяца назад
Resources Practice Resources Link: afterwork.ai/c/introduction-to-sql Get Started with Our Data Learning Paths 1. Data Science with Python: afterwork.ai/challenge-signup/data-science-with-python-challenge 2. Data Engineering with Python: afterwork.ai/challenge-signup/data-engineering-with-python-learning-path 3. Machine Learning with Python: afterwork.ai/challenge-signup/machine-learning-with-p...
Data Visualization with Altair Course
Просмотров 964 месяца назад
Resources Practice Resources Link: afterwork.ai/c/data-visualization-with-altair Get Started with Our Data Learning Paths 1. Data Science with Python: afterwork.ai/challenge-signup/data-science-with-python-challenge 2. Data Engineering with Python: afterwork.ai/challenge-signup/data-engineering-with-python-learning-path 3. Machine Learning with Python: afterwork.ai/challenge-signup/machine-lear...
Working with Dates and Times in Python Course
Просмотров 705 месяцев назад
Resources Practice Resources Link: afterwork.ai/c/working-with-dates-and-times-in-python Get Started with Our Data Learning Paths 1. Data Science with Python: afterwork.ai/challenge-signup/data-science-with-python-challenge 2. Data Engineering with Python: afterwork.ai/challenge-signup/data-engineering-with-python-learning-path 3. Machine Learning with Python: afterwork.ai/challenge-signup/mach...
Data Analysis with Modin Course
Просмотров 5865 месяцев назад
Resources Practice Resources Link: afterwork.ai/c/data-analysis-with-modin Get Started with Our Data Learning Paths 1. Data Science with Python: afterwork.ai/challenge-signup/data-science-with-python-challenge 2. Data Engineering with Python: afterwork.ai/challenge-signup/data-engineering-with-python-learning-path 3. Machine Learning with Python: afterwork.ai/challenge-signup/machine-learning-w...
Big Data Processing with Vaex Course
Просмотров 675 месяцев назад
Big Data Processing with Vaex Course
Parallel Data Processing with Python Dask Course
Просмотров 975 месяцев назад
Parallel Data Processing with Python Dask Course
Building a Data Analysis Library in Python
Просмотров 1535 месяцев назад
Building a Data Analysis Library in Python
Pandas Library Challenge: Day 30 of 30
Просмотров 2025 месяцев назад
Pandas Library Challenge: Day 30 of 30
Pandas Library Challenge: Day 29 of 30
Просмотров 1305 месяцев назад
Pandas Library Challenge: Day 29 of 30
Pandas Library Challenge: Day 28 of 30
Просмотров 1155 месяцев назад
Pandas Library Challenge: Day 28 of 30
Pandas Library Challenge: Day 27 of 30
Просмотров 895 месяцев назад
Pandas Library Challenge: Day 27 of 30
Pandas Library Challenge: Day 26 of 30
Просмотров 1015 месяцев назад
Pandas Library Challenge: Day 26 of 30
Pandas Library Challenge: Day 25 of 30
Просмотров 2765 месяцев назад
Pandas Library Challenge: Day 25 of 30
Pandas Library Challenge: Day 24 of 30
Просмотров 766 месяцев назад
Pandas Library Challenge: Day 24 of 30
Pandas Library Challenge: Day 23 of 30
Просмотров 586 месяцев назад
Pandas Library Challenge: Day 23 of 30
Pandas Library Challenge: Day 22 of 30
Просмотров 716 месяцев назад
Pandas Library Challenge: Day 22 of 30
Hi, i am an information technology student in my second year. Is this a job i can do in the future?
What is the difference between loc and groupby
Informacion muy util y relevante para mi que recien descubri el interés en Analisis de Datos con enfoque a la salud.
Sir how to see answer sheets in documents using python
Can you suggest some challenges areas of agriculture.How can we overcome the problem of using data science?
A few challenges include inefficient resource usage, unpredictable weather patterns, and pest infestations. With data science, we can use weather forecasting models, satellite images, and IoT devices to monitor soil and crop help. Concerning pest detection, we can use image recognition models.
Oops and classes is very important where is the Playlist of it Sir ???
I'll post soon.
@afterworkai Sir upload this week bez your soon is very late
I'm BCA student,Iwant become master healt data science.please share a roadmap.and course provide platform.
To become a master in health data science you need to learn programming basics (Python, R), then later data cleaning, analysis, and visualization. You'll also need to understand how to work with relation databases using SQL. Lastly, have some focus i.e. on bioinformatics, epidemiology, predictive health analytics, etc.
Notebook lm.
This is ai stuff OMG🤦♂
These videos are great resources for practicing Pandas library and understanding concepts of data analysis in python. Thank you so much for this valuable information!
You’re welcome
thank you so much!!! Great explanation!
You’re welcome
Sir why you r not uploading videos now a days is everything fine Sir 🙂
I’ll be back. It’s been a busy month.
Can someone help me on the loc challenge please
What specific issue might you be facing with the challenge?
Sir in resume what should i put any project on like this that you have done or something lese plzz help 😊
Are you able to clarify your question further?
Sir My question is like what to I write in my project area about python. Because I have done EDA only but I have no make any projects bla bla example snake game using python
Sir, Sales data.dropna(subset=(storage), inplace why you have used subset you didn't exolain it in a video
Inplace applies the change in the code to the original dataframe.
Hey subset is used to check specific column, otherwise the code will check all columns with missing values instead of 'Storage' in this example. It basically says the program to look missing values specifically in 'Storage' column.
This is great 👏. Kindly could you be having the recording you did in partnership with ALX on Data Cleaning with either SQL or Power BI?
Hi Sylvia. Unfortunately we don’t have the recording.
You have done a great job!
Thank you
Great work 👏
Thanks
My instructor Valentine Assalaam Alaykum Thank you so much for this.
You’re welcome!
Plz continue this series and i am waiting for numpy
Already have.
Excellent video! Thank you.
You are welcome!
Sounds great. I will give it a try
sir is there in detail video on list , tuple etc
Not yet.
Sir when will you make video on this topic@@afterworkai
Hata pandas sijaelewa kuna ingine....??!!!🤣🤣🤣🤡💀
😃😃😀😀😀. Syllabus changing quick fast
😅😅Python has several libraries for large data processing; Polars, PySpark, DuckBD, Dask, Vaex, etc.
@@afterworkai Consider doing one for pyspark
Sir plz make projects on python
Will do
Thank You🙌🙌
You’re welcome!
Hello Brother, 👋🏻 ❤ From India 🤝 I want to appreciate your great work, keep going 👏🏻
You're welcome! Thanks for the thought.
Hi Valentine, I can't access to your notebook . can you share the link that works?
Hello there. You can have a look this latest video on data wrangling instead. It provides a similar learning experience and provides a sample practice notebook: ruclips.net/video/EgK_6xFrLks/видео.html
I am joining you when you have 2.68k subs and I want to get my masters in Data science and shift from Chemical Engineering to Data science in next 2 years I hope you reach Millions and millions of subs and I achieve my dream. you are an absolute GOAT. I don't know how to thank you for this channel ❤
Thank you for the wishes and hoping you achieve your dreams too. This is encouraging.
I like this video..if you could make it small video on challenge..it would be great
Thanks. Do you mean making the video shorter or making less of challenge videos?
And also which type of questions can be asked in interview ❤
Thanks. Will look towards having such a video soon.
Sir plz upload projects after this challenge series
Thanks for the suggestion.
Great tutorial :) Helped me a lot to get in to pyspark. Keep the great work man.
Thank you, @BrunoSxD
Learning and getting better😄,Thank You Other than accessing resources,are there any benefits of being an afterwork member?
At the moment all the resources on our platform. What suggestions might you have that we could provide that could make your learning journey better?
Thank you Valentine. 👏👏
👏👏
Hello Valentine Great tutorials By any chance do you run a bootcamp or offer any classes on data science?
Hey Anthony. Yes we do have an upcoming bootcamp. Will be post the link here soon.
@@afterworkai thanks
Hi Anthony, We'll be running a 6-week online Data Analytics Bootcamp for working professionals covering key tools such as Excel, SQL, Python, R, and Power BI through evening workshops and practical projects. The bootcamp starts on 6th August. If interested, find more details and make your application here: bit.ly/afterworkdabootcamp, before August 2nd, 2024.
Great work👏. Well explained and its engaging. A correction you can make on boolean indexing filtering as you used the wrong operator thus getting different result. A better example for string extracting filtering is to filter 'treatment' section based on strings that contain "medication" /"counseling" .
Thank you, Carole. Well noted.
Thank you!!
Comprehensive, as a novice, this has pushed me to research and try to understand the new concepts I am learning
You’re welcome Carole.
you are doing very good work brother, i wish your channel will get many subscribers.
Thank you. We'll get there soon.
good work Pandas Library
Thank you!
I want to follow you in Instagram, what is you I'd
Sir I want to suggest something after completing 30 days challenge pandas video , also upload one project
We will do this. Thanks for the suggestion.
- Audit your skills - Pre-requisite skills - Learning process - Job application process
Keep on producing the videos and we’ll keep watching ❤
Glad to hear they are helpful.
Greetings Sir, When will you start NUMPY ??
We’ll have that one soon.
👍👍
Day 8 🎉 : I am behind then 😂. Will have to catch up with this tutorial.
Yes. The challenge starts from day 1.
Self-taught...?!!😅
Hi thanks for the practice!! Can I do the same exercises in Jupiter Notebooks? Thanks
Yes it’s possible. You can download them as ipynb files and open them locally.
@@afterworkai Thanks!!!!