Data Science Specialization by John Hopkins University on Coursera
This Specialization covers the concepts and tools you'll need throughout the entire data science pipeline, from asking the right kinds of questions to making inferences and publishing results. In the final Capstone Project, you’ll apply the skills learned by building a data product using real-world data. At completion, students will have a portfolio demonstrating their mastery of the material.
- Course 1: The Data Scientist's Toolbox [Course Cerfiticate]
- Course 2: R Programming [Course Cerfiticate] [Programming Assignment 2]
- Course 3: Getting and Cleaning Data [Course Cerfiticate] [Course Project]
- Course 4: Exploratory Data Analysis [Course Cerfiticate] [Plotting Assignment 1] [Plotting Assignment 2]
- Course 5: Reproducible Research [Course Project 1] [Course Project 2]
- Course 6: Statistical Inference [Course Cerfiticate] [Course Project]
- Course 7: Regression Models [Course Cerfiticate] [Course Project]
- Course 8: Practical Machine Learning [Course Project (WIP)]
- Course 9: Developing Data Products [Course Projects]
- Data Science Capstone