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Home
- Defining Data Science
- What Do Data Scientists Do?
- Big Data and Data Mining
- Deep Learning and Machine Learning
- Data Science in Business
- Careers and Recruiting in Data Science
- The Report Structure
- Data Science Tools - Open Source Tools
- Data Science Tools - Commercial Tools
- Data Science Tools - Cloud Based Tools
- Packages, APIs, Data Sets and Models - Libraries for Data Science
- Packages, APIs, Data Sets and Models - Application Programming Interfaces (API)
- Packages, APIs, Data Sets and Models - Data Sets & Sharing Enterprise Data
- Packages, APIs, Data Sets and Models - Machine Learning Models
- Packages, APIs, Data Sets and Models - The Model Asset Exchange
- Jupyter Notebook and Jupyter Lab
- Peer-graded Assignment
- From Problem to Approach and From Requirements to Collection
- From Understanding to Preparation
- From Deployment to Feedback
- Python Basics
- Python Data Structures
- Python Programming Fundamentals
- Working with Data in Python
- APIs, and Data Collection
- Crowdsourcing Short squeeze Dashboard
- Peer-graded Assignment: Analyzing Historical Stock/Revenue Data and Building a Dashboard
- Course Introduction
- Relational Database Concepts
- Using Relational Databases
- MySQL and PostgreSQL
- Course Assignment
- Getting Started with SQL
- Introduction to Relational Databases and Tables
- Intermediate SQL
- Accessing Databases using Python
- Course Assignment
- Bonus Module: Advanced SQL for Data Engineer
- Importing Datasets
- Data Wrangling
- Exploratory Data Analysis
- Model Development
- Model Evaluation
- Final Assignment
- Introduction to Data Visualization Tools
- Basic and Specialized Visualization Tools
- Advanced Visualizations and Geospatial Data
- Creating Dashboards with Plotly and Dash
- Final Project & Exam