The following topics are covered in this module:
| Sl No | Topic |
| 1 | Data Science Overview |
| 2 | Data Analytics Overview |
| 3 | Statistical & Business Applications |
| 4 | Basics of Python |
| 5 | Installation of Anaconda3 & Jupyter Notebook |
| 6 | Basic Arithmetic & Logical Operators |
| 7 | List, Tuples, Dictionaries |
| 8 | Functions, Methods |
| 9 | Conditional statements ( IF, IF-ELSE, ELIF) |
| 10 | For, while, do-while loops in python |
| 11 | List Comprehension |
| 12 | NumPy |
| 13 | Pandas |
| 14 | Python for Data Science (Data Cleansing, Manipulation) |
| 15 | Exploratory Data Analysis (EDA) |
| 16 | Machine Learning with Python (Scikit-Learn) |
| 17 | Data Visualization in Python with Matplotlib |
| 18 | Project |
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