Practical Statistics for Data Scientists - Chapter 3 - Statistical Experiments Significance Testing

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This is an overview of Chapter 3 of Practical Statistics for Data Scientists. I'll be going over the first couple of chapters of this book because the later chapters cover similar materials from my Hands on Machine Learning book overview videos.
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[@geekyprogrammer4831]

Please continue the series buddy! You did an amazing job simplying and boiling down complex concepts!!

[@ShahzadHassanBangash]

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

[@shivamdobariya63]

I feel you should go through the survey monkey data cleaning video where he has used transpose and made it look very very simple.

[@mizzchoc10]

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 :)

[@auliafahmilaksono3597]

Learning a lot from you, appreciate it man!

[@waizmanzoor7230]

Started watching your videos at 10k, crazy growth and well deserved too. These walkthroughs are very informative and helpful.

[@ShashankData]

Thanks so much for sticking around man!

[@chandanapatro3739]

@@ShashankData hello sir, you explained so well , please complete rest of the chapters 😊

[@ihatethisusername11]

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.

[@livelovelaugh4050]

Great video .Thank you for what you do 🙏

[@magicvideo626]

Love your content brother, I’m just a Mechanical engineer and your content helps me improve at work… thank you :)

[@johanjohnson4678]

Keep up the good work bro! Big fan of your content :)

[@ashishpandey1934]

Great content Shashank! Thanks for making this 😄

[@ShashankData]

Of course Ashish thank you so much for checking it out!

[@yashnikhare2210]

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.

[@syusyu28]

Yhe long-awaited video🙂☀️

[@OceanAlves23]

🎓, congratulations from Brazil/Teresina/Piauí.

[@ludgerderyce7312]

Great Videos, chapter 3 has not been easy to digest, I will watch this video over and over

[@ShashankData]

I feel you chapter 3 was quite difficult for me as well

[@nabeelarani8887]

Please continue the series of the next chapters

[@adarshreddy8438]

Hope u conitnue with the following chapters to come...

[@bomb143]

please continue the series sir

[@septiczz]

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

[@willosullivan1986]

elite content

[@saraaxx9100]

Are you planning to continue with next chapters? Please cover all. Thank you 😊

[@sharonbennygovada]

can you please do chapter 5 too...its really been a great help...thank you...

[@SouravKumar044]

Nice

[@matgg8207]

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

[@countryboy9695]

Suggest to do the Think stat by Allan downy book as well.

[@kevinjhordancallallivillal2405]

Please continue with chapter 4 please 🙏

[@asp4628]

Please,do chapter 4

[@Manojprapagar]

CHAPTER 4 !!!!! PLEASE !!!!!

[@Kinnoshachi]

Kindly can you please share, what are you taking your notes in?

[@ShashankData]

Notion is the tool

[@anickkhan]

Sir please upload the next chapters

[@mariumosama6830]

I'm waiting for chapter 4

[@rezarafieirad]

please chapter 4

[@naderbekir8195]

link of notion please

[@Can1910.]

Chapter 4

[@ayeshailyas3353]

where are the others bro?

[@ShashankData]

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!

[@wilsvenleong96]

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.

[@mohdhammadkhan5570]

1st view

[@mohdhammadkhan5570]

Sir kindly make video on chapter's of Python for Data analysis by O'reilly

[@ShashankData]

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?

[@mohdhammadkhan5570]

@@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

[@Kinnoshachi]

@@mohdhammadkhan5570 by the one and only Wes McKinney

[@mohdhammadkhan5570]

@@Kinnoshachi yes! He is the author. But I don't know much about him

[@d3v487]

Amazing explanation 😁. Please Upload the next Chapter or End the book at once 🔂 🤭