C1 What is Data Science 24 lessons
M1 Defining Data Science 6
M2 What Do Data Scientists Do 6
M3 Big Data and Data Mining 6
M4 Deep Learning and Machine Learning 6
C10 Applied Data Science Capstone 32 lessons
M1 Data Collection 6
M2 Data Wrangling 5
M3 Exploratory Data Analysis 5
M4 Interactive Visual Analytics 5
M5 Predictive Analysis 6
M6 Final Presentation 5
C2 Tools for Data Science 30 lessons
M1 Data Science Tools Overview 6
M2 Open Source Tools 6
M3 Jupyter Notebooks and JupyterLab 6
M4 RStudio and GitHub 6
M5 Cloud Based Data Science Tools 6
C3 Data Science Methodology 25 lessons
M1 From Problem to Approach 5
M2 From Requirements to Collection 5
M3 From Understanding to Preparation 5
M4 From Modeling to Evaluation 5
M5 From Deployment to Feedback 5
C4 Python for Data Science AI and Development 32 lessons
M1 Python Basics 6
M2 Python Data Structures 7
M3 Python Programming Fundamentals 7
M4 Working with Data in Python 6
M5 APIs and Data Collection 6
C5 Python Project for Data Science 10 lessons
M1 Extracting Stock Data 5
M2 Web Scraping and Data Analysis 5
C6 Databases and SQL for Data Science 34 lessons
M1 Getting Started with SQL 6
M2 Relational Databases and Tables 5
M3 Intermediate SQL 6
M4 Accessing Databases using Python 5
M5 Working with Real World Datasets 6
M6 Advanced SQL 6
C7 Data Analysis with Python 30 lessons
M1 Importing Data Sets 6
M2 Data Wrangling 6
M3 Exploratory Data Analysis 6
M4 Model Development 6
M5 Model Evaluation and Refinement 6
C8 Data Visualization with Python 22 lessons
M1 Introduction to Data Visualization 6
M2 Basic and Specialized Visualization Tools 5
M3 Advanced Visualizations and Geospatial Data 5
M4 Creating Dashboards with Plotly and Dash 6
C9 Machine Learning with Python 36 lessons
M1 Introduction to Machine Learning 5
M2 Regression 6
M3 Classification 8
M4 Clustering 6
M5 Recommender Systems 5
M6 Final Project 6