数据科学专业人士的 Python - 完整精通课程
- 1 - Module 1 Introduction to Python and Data Science
- 1 - Variables data types and operators
- 2 - Control Flow Conditionals and Loops
- 3 - Functions and Modules
- 2 - Module 2 Data Manipulation with Python
- 4 - Understanding Arrays and Matrices
- 5 - Array Operations
- 6 - DataFrames and Series
- 7 - Data Cleaning and Preparation
- 8 - Handling Missing Data
- 9 - Merging and Joining Data
- 10 - Sorting and Filtering Data
- 11 - Grouping and Aggregation
- 3 - Module 3 Data Visualization
- 12 - Basic Plots Line Bar Scatter
- 13 - Customizing Plots
- 14 - Subplots and Figures
- 15 - Creating Interactive Charts
- 4 - Module 4 Statistical Analysis
- 16 - Measures of Central Tendency
- 17 - Measures of Variability
- 18 - Normal Binomial and Other Distributions
- 19 - Null and Alternative Hypotheses
- 5 - Module 5 Introduction to Machine Learning
- 20 - Feature Scaling and Normalization
- 21 - Encoding Categorical Variables
- 22 - Handling Imbalanced Data
- 23 - Linear and Logistic Regression
- 6 - Module 6 Advanced Topics in Data Science
- 24 - Introduction to Time Series Data
- 25 - Decomposition ARIMA Models
- 26 - Text Preprocessing
- 27 - Sentiment Analysis