Module 1 Data Science Methodologies
Explore two data science methodologies that can be used to solve data science problems.
Module 2 Using Python for Data Science
Learn the fundamentals of Python programming and working with data in Python.
Module 3 Python Fundamentals and Data
Explore the foundational and practical techniques in web scraping and data extraction using Python.
Module 4 SQL for Data Science
Learn Structured Query Language (SQL) and how it can be applied to data science problems.
Module 5 Using Python to Analyze Data
Develop an understanding of working with data in Python and apply this knowledge practically.
Module 6 Data Visualization Using Python
Create, interpret, and present effective data visualizations using Python libraries and tools, transforming complex datasets into actionable insights.
Module 7 Introduction to Machine Learning with Python
Learn about applied machine learning using Python tools.
Module 8 Supervised and Unsupervised Machine Learning
Explore supervised and unsupervised machine learning modeling and evaluation techniques.
Module 9 Capstone Project 1: Data Collection, Wrangling, and Analysis
Collect, clean, and explore data to gain insights into a real-life business problem.
Module 10 Capstone Project 2: Presenting Data-Driven Insights
Gain Excel skills to manage, clean, and analyze data using functions, filters, and pivot tables.
Please note that module titles and their contents are subject to change during microcredential development.
