Unit 1: Python Basics for Data Science
Unit 2: Setting Up Your Data Science Environment
Unit 3: Jupyter Notebooks for Interactive Analysis
Python for Data Science Beginners with SQL Fundamentals
A comprehensive introduction to data science using Python and SQL, designed for beginners to analyze, manipulate, and visualize data effectively.
Unit 1: Pandas Data Structures: Series
Unit 2: Pandas Data Structures: DataFrames
Unit 3: Data Input and Output
Unit 4: Data Cleaning and Preprocessing
Unit 5: Data Selection, Filtering, and Aggregation
Unit 1: Introduction to Exploratory Data Analysis (EDA)
Unit 2: Data Visualization with Matplotlib
Unit 3: Advanced Visualization with Seaborn
Unit 4: Multivariate Analysis and Advanced EDA Techniques
Unit 5: Communicating Insights Through Visualization
Unit 1: Relational Database Concepts
Unit 2: Basic SQL Queries
Unit 3: Joining Tables
Unit 1: Connecting Python to SQL Databases
Unit 2: Executing SQL Queries from Python
Unit 3: Automating Data Workflows
Unit 4: Real-World Applications