Home - sj50179/IBM-Data-Science-Professional-Certificate GitHub Wiki
Welcome to my study note wiki for the IBM Data Science Professional Certificate
My Certificate URL
1. What is Data Science?
- 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
2. Tools for Data Science
- 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
3. Data Science Methodology
- From Problem to Approach and From Requirements to Collection
- From Understanding to Preparation
- From Deployment to Feedback
4. Python for Data Science, AI & Development
- Python Basics
- Python Data Structures
- Python Programming Fundamentals
- Working with Data in Python
- APIs, and Data Collection
5. Python Project for Data Science
- Crowdsourcing Short squeeze Dashboard
- Peer-graded Assignment: Analyzing Historical Stock/Revenue Data and Building a Dashboard
6a. Data Engineering Foundations Specialization - Introduction to Relational Databases (RDBMS)
- Course Introduction
- Relational Database Concepts
- Using Relational Databases
- MySQL and PostgreSQL
- Course Assignment
6. Databases and SQL for Data Science with Python
- 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
7. Data Analysis with Python
- Importing Datasets
- Data Wrangling
- Exploratory Data Analysis
- Model Development
- Model Evaluation
- Final Assignment
8. Data Visualization with Python
- Introduction to Data Visualization Tools
- Basic and Specialized Visualization Tools
- Advanced Visualizations and Geospatial Data
- Creating Dashboards with Plotly and Dash
- Final Project & Exam
9. Machine Learning with Python
- Introduction to Machine Learning
- Regression
- Classification
- Clustering
- Recommender Systems
- Final Project