Intro to Data Science: QuickStart Guide + AI & ChatGPT Prize
This course runs for 5h 13m and is designed for beginner learners. It is taught by Kirill Eremenko, Hadelin de Ponteves, SuperDataScience Team, Ligency, published by Udemy, and was released on September 2025. The course taught in English, includes exercise files, and uses SQL, Tableau, Python.
Course Overview
This course provides a comprehensive introduction to Data Science, covering essential topics such as visualization, databases, Python programming, statistics, machine learning, and cloud computing. Designed to prepare learners to start a career in Data Science within 6 weeks, it emphasizes practical skills and industry tools like SQL, Tableau, and Python.
Key Takeaways
Understand the entire Data Science process from start to finish.
Gain foundational knowledge in statistics relevant to Data Science.
Learn to create effective data visualizations using popular tools.
Apply machine learning algorithms with Python to solve real-world problems.
Explore cloud computing concepts and their application in Data Science.
Develop skills in databases and statistical learning.
Prerequisites
Only a passion to build a successful Data Science career is required.
Target Learners
Individuals generally interested in Data Science.
Those seeking to transition into a Data Science career.
College students aiming to start a career in Data Science.
Students exploring potential career paths.
Junior Data Scientists looking to enhance their career prospects.