DataAnalytics_Projects

This repo includes the assignments and lectures conducted in the Data Analytics Course. This course provides you knowledge and skills for an understanding of data manipulation, analysis, and visualization. The assignments in this repository are designed to reinforce your understanding of the concepts covered in the lectures. They will challenge you to apply your knowledge to real-world datasets, allowing you to practice data cleaning, exploratory data analysis, hypothesis testing, and predictive modeling.

Lecture Videos

Below is a list of all the lecture videos for this course:

1. Lecture 1: Introduction to Data Analytics
2. Lecture 2: Data Understanding
3. Lecture 3: Data Cleaning Techniques
4. Lecture 4: Data Visualization
5. Lecture 5: Colors for data
6. Project Example: Course Evaluation
7. Project Example: Job Demand Analysis

Feel free to click on the links to access the respective lecture videos. More videos are available in the

1. [course playlist] (https://www.youtube.com/playlist?list=PLVJBFnpmHjrYnRJIbEVwUB5OZuRu5z0zG)
2. [Project Playlist] (https://www.youtube.com/playlist?list=PLVJBFnpmHjrau_34h3pK3Z-W27F4RUWky)

GitHub Structure:

The GitHub repository is structured as below:

├── data
  ├── [data files]   
├── Assignments
  ├── [Assignment Templates] 
├── requirements.txt
├── README.md
└── [other relevant files]

Instructions to Students

1. Log in to GitHub.

2. Navigate to the project.

3. In the top-right corner of the page, click Fork.

4. Clone the repository to your local computer. Before creating the pull request or cloning, it's recommended to sync your forked repository with the latest changes from the original repository.

5. Make the necessary edits as per instructions.

6. Commit changes.