John Hopkins Data Science Specialization Coursera

Repository for my code for the course John Hopkins Data Science Specialization

About the specialization

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.

Specialization courses

This Data Science specialization contains 10 courses and the first five courses are also a part of the Data Science: Foundations using R specialization.

No Course Folder Date Completed Notes
1 The Data Scientist’s Toolbox August 29th, 2020 Notes
2 R Programming October 19th, 2020 Notes
3 Getting and Cleaning Data October 31st, 2020 Notes
4 Exploratory Data Analysis November 12th, 2020 Notes
5 Reproducible Research November 19th, 2020 Notes
6 Statistical Inference December 17th, 2020 Notes
7 Regression Model January 13th, 2021 Notes
8 Practical Machine Learning January 25th, 2021 Notes
9 Developing Data Products February 1st, 2021 Notes
10 Data Science Capstone November 28th, 2021  

Projects

Articles checklist

Certificates

Data Science: Foundations using R Specialization

Certificate for first half of specialization

View it online here

Data Science Specialization

Certificate for entire specialization

View it online here