Python for Data Analytics: Pandas, Scikit-learn, Matplotlib, Seaborn, and SciPy

Empower your data analysis skills with Python: master Pandas, Scikit-learn, Matplotlib, Seaborn, and SciPy for insightful data-driven decision-making.
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Introduction to Data Analysis with Python and Pandas

Unit 1: Setting Up and Introducing Pandas

Unit 2: Data Loading, Inspection, and Cleaning

Advanced Data Manipulation with Pandas

Unit 1: Slicing, Dicing, and Combining DataFrames

Unit 2: Grouping, Aggregating, and Multi-level Indexes

Data Visualization with Matplotlib

Unit 1: Matplotlib Fundamentals

Unit 2: Plot Types and Customization

Enhanced Data Visualization with Seaborn

Unit 1: Exploring Data with Seaborn

Unit 2: Relationships and Categories

Introduction to Machine Learning with Scikit-learn

Unit 1: Scikit-learn Fundamentals and the ML Workflow

Unit 2: Regression and Classification with Scikit-learn

Model Selection, Evaluation, and Hyperparameter Tuning

Unit 1: Model Evaluation and Selection

Unit 2: Hyperparameter Tuning

Statistical Analysis with SciPy

Unit 1: Hypothesis Testing and Confidence Intervals

Unit 2: Correlation, Regression, and Distributions

Data Acquisition and Integration

Unit 1: Data Acquisition and Transformation

Unit 2: Building Data Pipelines