📖 C1 What is Data Science 4 Modules · 16 Lessons
▶ M1 Defining Data Science 4
▶ M2 What Do Data Scientists Do 4
▶ M3 Big Data and Data Mining 4
▶ M4 Deep Learning and Machine Learning 4
📖 C10 Applied Data Science Capstone 6 Modules · 20 Lessons
▶ M1 Data Collection 4
▶ M2 Data Wrangling 3
▶ M3 Exploratory Data Analysis 3
▶ M4 Interactive Visual Analytics 3
▶ M5 Predictive Analysis 4
▶ M6 Final Presentation 3
📖 C2 Tools for Data Science 5 Modules · 20 Lessons
▶ M1 Data Science Tools Overview 4
▶ M2 Open Source Tools 4
▶ M3 Jupyter Notebooks and JupyterLab 4
▶ M4 RStudio and GitHub 4
▶ M5 Cloud Based Data Science Tools 4
📖 C3 Data Science Methodology 5 Modules · 15 Lessons
▶ M1 From Problem to Approach 3
▶ M2 From Requirements to Collection 3
▶ M3 From Understanding to Preparation 3
▶ M4 From Modeling to Evaluation 3
▶ M5 From Deployment to Feedback 3
📖 C4 Python for Data Science AI and Development 5 Modules · 22 Lessons
▶ M1 Python Basics 4
▶ M2 Python Data Structures 5
▶ M3 Python Programming Fundamentals 5
▶ M4 Working with Data in Python 4
▶ M5 APIs and Data Collection 4
📖 C5 Python Project for Data Science 2 Modules · 6 Lessons
▶ M1 Extracting Stock Data 3
▶ M2 Web Scraping and Data Analysis 3
📖 C6 Databases and SQL for Data Science 6 Modules · 22 Lessons
▶ M1 Getting Started with SQL 4
▶ M2 Relational Databases and Tables 3
▶ M3 Intermediate SQL 4
▶ M4 Accessing Databases using Python 3
▶ M5 Working with Real World Datasets 4
▶ M6 Advanced SQL 4
📖 C7 Data Analysis with Python 5 Modules · 20 Lessons
▶ M1 Importing Data Sets 4
▶ M2 Data Wrangling 4
▶ M3 Exploratory Data Analysis 4
▶ M4 Model Development 4
▶ M5 Model Evaluation and Refinement 4
📖 C8 Data Visualization with Python 4 Modules · 14 Lessons
▶ M1 Introduction to Data Visualization 4
▶ M2 Basic and Specialized Visualization Tools 3
▶ M3 Advanced Visualizations and Geospatial Data 3
▶ M4 Creating Dashboards with Plotly and Dash 4
📖 C9 Machine Learning with Python 6 Modules · 24 Lessons