Hypothesis Testing in Data Science – Part 1

Hypothesis Testing in Python | t-test Explained | ttest_1samp, ttest_ind, ttest_rel | Data Science

In this video, you will learn Hypothesis Testing in Data Science – Part 1 with full explanation of t-test including ttest_1samp (One Sample t-test), ttest_ind (Independent t-test), and ttest_rel (Paired t-test) in a very simple and beginner-friendly way.

This video is perfect for:

Data Science students

MCA / Engineering students

Python learners

Interview preparation

Statistics for Machine Learning

You will understand:

What is Hypothesis Testing

Difference between Null Hypothesis (H0) and Alternative Hypothesis (H1)

What is p-value and how to interpret it

When to use ttest_1samp, ttest_ind, ttest_rel

Real-life examples for easy understanding

Practical implementation using Python (SciPy)

This topic is very important for interviews, exams, and real-world data analysis projects.
Watch till the end and practice along with me to master this concept 💪

👉 Part 2 will cover: ANOVA and Chi-Square Test

📣 Call To Action (add at end)

👍 Like the video if it helped you
💬 Comment “DONE” after practicing
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