Master the key Python skills for data analysis, visualization, statistical analysis, and machine learning. Build a solid foundation for a successful start to your journey in data science.
Python for Data Science
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 21 lessons
| # | Lesson Title | Duration | Access |
|---|---|---|---|
| 1 | Introduction Demo | 15:09 | |
| 2 | Best Coding Practices | 05:32 | |
| 3 | Python & PyCharm (IDE) Configuration | 16:09 | |
| 4 | Demo 1: Data Types & Creating Variables | 18:39 | |
| 5 | Demo 2: Lists/Matrices/Dictionaries | 17:30 | |
| 6 | Demo 3: For-Loops in Python | 16:54 | |
| 7 | Demo 4: If-Else Statements | 20:00 | |
| 8 | Demo 5: Python Libraries for Data Science | 18:04 | |
| 9 | Demo 6: Loading Data in Python | 16:06 | |
| 10 | Demo 7: Data Exploration & Preprocessing | 14:33 | |
| 11 | Demo 8: Random Data Generation (Data Simulation) | 19:53 | |
| 12 | Demo 9: Filtering, Sorting, Grouping | 21:08 | |
| 13 | Demo 10: Descriptive Statistics | 15:50 | |
| 14 | Demo 11: Merging & Joining Datasets | 21:27 | |
| 15 | Demo 12: User Defined Functions (UDF) | 13:50 | |
| 16 | Demo 13: Text Cleaning and Preparation in NLP | 21:11 | |
| 17 | Demo 14: Data Visualization in Python | 20:57 | |
| 18 | Demo 15: Data Sampling (Part 1) - Theory | 28:16 | |
| 19 | Demo 16: Data Sampling (Part 2) - Coding | 20:34 | |
| 20 | Demo 17: A/B Test Results Analysis (Part 1) - Theory | 22:49 | |
| 21 | Demo 18 - A/B Test Results Analysis (Part 2) - Coding | 17:26 |
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