Intro to Data Science: QuickStart Guide + AI & ChatGPT Prize
Learn the critical elements of Data Science, from visualization to databases to Python and more, in just 6 weeks!
4.56 (8102 reviews)
30 183
students
5.5 hours
content
Feb 2025
last update
$94.99
regular price
What you will learn
The entire Data Science process
Cloud concepts & application in Data Science
Database concepts
Statistics fundamentals as needed in Data Science
Visualizations for data mining and presentation
An overview on Statistical Learning
The essentials of Machine Learning
More advanced Python to apply to Data Science
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Comidoc Review
Our Verdict
Intro to Data Science: QuickStart Guide offers an extensive examination of essential data science concepts. Though some interface changes may confuse learners, and certain aspects might seem outdated, the course's pedagogical methodology remains valuable for those genuinely interested in exploring data science concepts. Furthermore, this course provides a perfect starting point for those eager to enter the big data and analytics industry.
What We Liked
- The course provides a comprehensive overview of the critical elements of Data Science, from visualization to databases to Python and more.
- Instructors effectively explain complex concepts using beginner-friendly language and repetition, ensuring learners grasp essential information.
- The course layout is structured thoughtfully, with time estimates for each learning section, helping learners plan their study schedule efficiently.
Potential Drawbacks
- Some content seems outdated; interface changes in tools like Python might confuse beginners, making it harder to follow along with the lessons.
- Topics like ChatGPT Prize are not adequately addressed within the course curriculum, leaving learners without promised information.
- Advanced topics such as Tableau and Python, while insightful, can be challenging for complete beginners due to their complexity.
Related Topics
1646886
udemy ID
15/04/2018
course created date
21/11/2019
course indexed date
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course submited by