Repository for my code for the course John Hopkins Data Science 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.
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 |
- R Programming
- Getting and Cleaning Data
- Exploratory Data Analysis
- Reproducible Research
- Statistical Inference
- Regression Models
- Practical Machine Learning
- Developing Data Products
View it online here
View it online here