Really appreciate these. I hope we get more lectures and we need more data cleaning long 1 hr videos on how an actual data analyst cleans data in real time. I am learning alot from those kind of videos. Please make morre, maybe some real paid datasets as always
Just love your content. I have completed first 2 chapters but this chapter is bit tough for me. I am gonna watch this video again and again. Btw thanks and keep uploading such kind of content.
This channel is amazing actually. I am taking a master of business analytics, yet I also keep self educating myself a whole lot of other tool. Become a good data analyst or business analyst did require a tons of knowledge on hand so that u could always know what to do in different situations
Hi Ayesha! I think I mentioned it in a previous video in this series, I only wanted to go over the first 3 chapters because the rest was covered pretty well by the Hand on Machine Learning series I have on my channel. Thanks so much for checking out the video!
The first vid was great. The second and third video you lost me. A bunch of copy pasta code and feel to much information was stuffed inside a video. Even as a refresher it’s too much.
@@ShashankData Sir basically there are 14 chapter's Chapter 2: Python Language Basics, IPython, and Jupyter Notebooks Chapter 3: Built-in Data Structures, Functions, and Files Chapter 4: NumPy Basics: Arrays and Vectorized Computation Chapter 5: Getting Started with pandas Chapter 6: Data Loading, Storage, and File Formats Chapter 7: Data Cleaning and Preparation Chapter 8: Data Wrangling: Join, Combine, and Reshape Chapter 9: Plotting and Visualization Chapter 10: Data Aggregation and Group Operations Chapter 11: Time Series Chapter 12: Advanced pandas Chapter 13: Introduction to Modeling Libraries in Python Chapter 14: Data Analysis Examples Your videos has topic related upto 5 chapter's, since O'reilly books are compiled very wonderfully and for a newbie like me can't go through whole book by himself. So If you make the rest of chapter's it would be very great and helpful for the community
Really appreciate these. I hope we get more lectures and we need more data cleaning long 1 hr videos on how an actual data analyst cleans data in real time. I am learning alot from those kind of videos. Please make morre, maybe some real paid datasets as always
I feel you should go through the survey monkey data cleaning video where he has used transpose and made it look very very simple.
I can't wait to start chapter 3 this weekend. I learned so much going through these chapters with you. I actually get stats now lol thank you :)
Please continue the series buddy! You did an amazing job simplying and boiling down complex concepts!!
Have you had the chance to continue with chapter 4 and so on? It has been great to review this book with someone that runs through it with us.
Started watching your videos at 10k, crazy growth and well deserved too. These walkthroughs are very informative and helpful.
Thanks so much for sticking around man!
@@ShashankData hello sir, you explained so well , please complete rest of the chapters 😊
Love your content brother, I’m just a Mechanical engineer and your content helps me improve at work… thank you :)
Learning a lot from you, appreciate it man!
This is definitely a hard chapter to get roudn the first time, needs reinforcement learning for sure. But your video helps a lot, many thanks
Just love your content. I have completed first 2 chapters but this chapter is bit tough for me. I am gonna watch this video again and again. Btw thanks and keep uploading such kind of content.
Great Videos, chapter 3 has not been easy to digest, I will watch this video over and over
I feel you chapter 3 was quite difficult for me as well
Great content Shashank! Thanks for making this 😄
Of course Ashish thank you so much for checking it out!
Are you planning to continue with next chapters? Please cover all. Thank you 😊
Keep up the good work bro! Big fan of your content :)
This channel is amazing actually. I am taking a master of business analytics, yet I also keep self educating myself a whole lot of other tool. Become a good data analyst or business analyst did require a tons of knowledge on hand so that u could always know what to do in different situations
Great video .Thank you for what you do 🙏
Please continue the series of the next chapters
Hope u conitnue with the following chapters to come...
🎓, congratulations from Brazil/Teresina/Piauí.
can you please do chapter 5 too...its really been a great help...thank you...
Yhe long-awaited video🙂☀️
CHAPTER 4 !!!!! PLEASE !!!!!
Please,do chapter 4
please continue the series sir
Please continue with chapter 4 please 🙏
Kindly can you please share, what are you taking your notes in?
Notion is the tool
Suggest to do the Think stat by Allan downy book as well.
please chapter 4
I'm waiting for chapter 4
Sir please upload the next chapters
Using Python code to run through these examples are a headache for anyone. Should stick to R. It's built for such A/B tests. Less verbose.
elite content
Nice
link of notion please
Chapter 4
where are the others bro?
Hi Ayesha! I think I mentioned it in a previous video in this series, I only wanted to go over the first 3 chapters because the rest was covered pretty well by the Hand on Machine Learning series I have on my channel. Thanks so much for checking out the video!
The first vid was great. The second and third video you lost me. A bunch of copy pasta code and feel to much information was stuffed inside a video. Even as a refresher it’s too much.
1st view
Sir kindly make video on chapter's of
Python for Data analysis by O'reilly
Let me look into it. I have my own python course already. Do you think the book covers some material mine doesn’t that’s necessary?
@@ShashankData Sir basically there are 14 chapter's
Chapter 2: Python Language Basics, IPython, and Jupyter Notebooks
Chapter 3: Built-in Data Structures, Functions, and Files
Chapter 4: NumPy Basics: Arrays and Vectorized Computation
Chapter 5: Getting Started with pandas
Chapter 6: Data Loading, Storage, and File Formats
Chapter 7: Data Cleaning and Preparation
Chapter 8: Data Wrangling: Join, Combine, and Reshape
Chapter 9: Plotting and Visualization
Chapter 10: Data Aggregation and Group Operations
Chapter 11: Time Series
Chapter 12: Advanced pandas
Chapter 13: Introduction to Modeling Libraries in Python
Chapter 14: Data Analysis Examples
Your videos has topic related upto 5 chapter's, since O'reilly books are compiled very wonderfully and for a newbie like me can't go through whole book by himself. So If you make the rest of chapter's it would be very great and helpful for the community
@@mohdhammadkhan5570 by the one and only Wes McKinney
@@Kinnoshachi yes! He is the author. But I don't know much about him
Amazing explanation 😁. Please Upload the next Chapter or End the book at once 🔂 🤭