- Python Programming
- Data Analysis
- Computer Programming
- Machine Learning
- Algorithms
- Applied Machine Learning
- Machine Learning Algorithms
- Statistical Programming
- Data Management
- Critical Thinking
- Graph Theory
- Computer Programming Tools
Applied Data Science with Python
Completed by LASAL CHATHRANJEY JAYAWARDENA
March 15, 2021
Approximately 4 months at 10 hours a week to completeLASAL CHATHRANJEY JAYAWARDENA's account is verified. Coursera certifies their successful completion of University of Michigan Applied Data Science with Python Specialization.
Course Certificates Completed
Applied Social Network Analysis in Python
Applied Machine Learning in Python
Applied Plotting, Charting & Data Representation in Python
Introduction to Data Science in Python
Applied Text Mining in Python
What you will learn
Conduct an inferential statistical analysis
Discern whether a data visualization is good or bad
Enhance a data analysis with applied machine learning
Analyze the connectivity of a social network
Skills you will gain
Course Certificates
Earned after completing each course in the Specialization
Applied Social Network Analysis in Python
University of Michigan
Taught by: Daniel Romero
Completed by: LASAL CHATHRANJEY JAYAWARDENA by March 15, 2021
Applied Machine Learning in Python
University of Michigan
Taught by: Kevyn Collins-Thompson
Completed by: LASAL CHATHRANJEY JAYAWARDENA by December 29, 2020
Applied Plotting, Charting & Data Representation in Python
University of Michigan
Taught by: Christopher Brooks
Completed by: LASAL CHATHRANJEY JAYAWARDENA by December 6, 2020
Introduction to Data Science in Python
University of Michigan
Taught by: Christopher Brooks
Completed by: LASAL CHATHRANJEY JAYAWARDENA by November 3, 2020
Applied Text Mining in Python
University of Michigan
Taught by: V. G. Vinod Vydiswaran
Completed by: LASAL CHATHRANJEY JAYAWARDENA by February 6, 2021