Statistics for Data Science (Free Online Course) – Unlock the fundamentals of Statistics for Data Science with this free beginner-friendly course. Designed to build your foundation, the course starts by introducing key statistical terms such as probability, distribution, hypotheses, and the Central Limit Theorem (CLT)—all crucial for anyone venturing into Data Science. You’ll gain a clear understanding of the Normal Distribution through practical examples, helping you grasp statistical concepts more effectively. The course then dives into hypothesis testing, a method used to validate or refute assumptions about distributions.
What You Will Learn?
| Basics of statistics |
| Descriptive statistics |
| Case study |
| Measures of Central Tendency |
| Measures of Dispersion |
| Understanding distributions and histograms |
| Types of Data |
| Univariate statistical plots and usage |
| Bivariate and Multivariate Statistics |
| Introduction to Probability |
| Addition and multiplication rule |
| Marginal Probability |
| Bayes theorem |
| Probability and Machine Learning |
| Test Case |
| Spam not spam problem using bayes theorem |
| Binomial and normal distribution |
| Poisson probability function |
Skills You Will Gain
- Probability
- Statistics
- Normal Distribution
- Sampling Distribution
- Hypothesis
- Central Limit Theorem
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My Great Learning Course Enrollment Process
Step 1 – Visit the Course Page
Click on the Orange Button below – GET THE FREE ONLINE COURSE to access the Course Page.
Step 2 – Sign Up or Log In
Click on the “Sign Up” or “Log In” button located at the top-right corner of the page. You can register using your email address, Google account, or Facebook account.
Step 3 – Enroll for FREE
Once you’re logged in, select the “Enroll Now” option to gain access to the course materials.
Step 4 – Begin Your Learning Journey: After clicking “Start Learning,” you will be seamlessly redirected to your personalized dashboard, where you can embark on your course at your own pace !
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