Master statistics for data-driven careers. Build a strong statistical foundation for data science, analysis, and decision making. Succeed in interviews and apply your knowledge to real-world problems.
Statistics Fundamentals
About the Author: LunarTech
LunarTech is an online tech academy focused on data science, machine learning, and quantitative analysis — covering both the theoretical foundations (linear algebra, calculus, statistics) and the practical Python / SQL toolchain that working data scientists use. The school operates globally with cohort-based and self-paced tracks.
The CourseFlix listing carries twelve LunarTech courses spanning machine-learning theory, deep learning, applied data-science workflows, and the math fundamentals underlying the field. Material is paid and aimed at engineers and analysts transitioning into formal data-science roles or upskilling within them.
Watch Online 12 lessons
| # | Lesson Title | Duration | Access |
|---|---|---|---|
| 1 | Introduction Demo | 04:00 | |
| 2 | 1. Random Variables | 06:26 | |
| 3 | 2. Mean, Variance, Standard Deviation | 02:53 | |
| 4 | 3. Covariance & Correlation | 05:17 | |
| 5 | 4. Probability Distribution Functions | 12:42 | |
| 6 | 5. Conditional Probability & Bayes Theorem | 09:09 | |
| 7 | 6. Introduction to Causal Analysis & Linear Regression | 14:51 | |
| 8 | 7. Hypothesis Testing & Statistical Significance | 10:38 | |
| 9 | 8. P-Values, Type I & Type II Errors, Confidence Intervals | 18:53 | |
| 10 | 9. Statistical Tests (Part 1) | 17:36 | |
| 11 | 10. Statistical Tests (Part 2) | 13:59 | |
| 12 | 11. Inferential Statistics (CLT & LLN) | 07:46 |
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Course content
12 lessons · 2h 4m 10sLessons
- 1 Introduction 04:00
- 2 1. Random Variables 06:26
- 3 2. Mean, Variance, Standard Deviation 02:53
- 4 3. Covariance & Correlation 05:17
- 5 4. Probability Distribution Functions 12:42
- 6 5. Conditional Probability & Bayes Theorem 09:09
- 7 6. Introduction to Causal Analysis & Linear Regression 14:51
- 8 7. Hypothesis Testing & Statistical Significance 10:38
- 9 8. P-Values, Type I & Type II Errors, Confidence Intervals 18:53
- 10 9. Statistical Tests (Part 1) 17:36
- 11 10. Statistical Tests (Part 2) 13:59
- 12 11. Inferential Statistics (CLT & LLN) 07:46
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