This repository contains preparation material, practice notebooks, and resources for the DS101 Data Science course. It serves as a personal collection of code and notes to master the fundamental concepts of Data Science.

Learn Data Science & AI from the comfort of your browser, at your own pace with DataCamp's video tutorials & coding challenges on R, Python, Statistics & more.

Notes, code exercises, course info, and certificates from all the Python, R, SQL, data science, machine learning, and other courses I've completed on DataCamp.

This repository contains exercise, courses and project of data camp.

Datacamp Learning Journey

Learning - Working with Geospatial Data in Python

Notes, exercises, and projects from the WiBD 2024/2025 DataCamp Scholarship.

DataCamp Project Solutions

Learning Data Science from scratch

Project on Learning Data Science in Python and PostgreSQL.

In this course, I learned the importance of version control using Git. I explored tracking, modifying, saving files, undoing changes, and using branches for collaboration. I also learned about repository structure, creating and cloning repositories, and handling conflicting files.

The Associate Data Engineer career track on DataCamp focuses on the fundamentals of data engineering, including database design and data warehousing, and working with technologies such as PostgreSQL and Snowflake.

How to use Python to implement and test your trading strategies.

A comprehensive collection of SQL practice exercises from the SQL Fundamentals course, honing skills for an Associate Data Analyst role.

In this course I learned how to use table joins and relational set theory on joining data. I have also learned how to work with more than one table in SQL, use inner joins, outer joins, and cross joins, leverage set theory, including unions, intersect, and except clauses, and create nested queries.

Solutions to SQL Projects available on DataCamp.