Updated 27 Aug
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Data Science Handbook
Explore data science fundamentals, including generative AI, time series, and business analytics. Gain insights into practical applications using Python libraries like pandas, seaborn, and TensorFlow.
4.7
14 lessons
1 project
2h 30min
Created by Educative
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What You'll Learn
- An understanding of the fundamentals of data science for data-driven decision-making
- Working knowledge of practical applications of data science in industries and daily lives
- Knowledge of career paths in data science for today’s world
- Familiarity with some famous technologies and tools used in data science
- A mastery of how the data science pipeline works with some hands-on experience
Learning Roadmap
1.
Introduction to Data Science
Introduction to Data Science
Get familiar with data science fundamentals, industry applications, and its evolving role.
2.
Fundamentals of Data Science
Fundamentals of Data Science
Unpack the core of data science pillars, distinctions from machine learning, and essential tools.
3.
Applications and Careers in Data Science
Applications and Careers in Data Science
3 Lessons
3 Lessons
Work your way through data science applications, roles, and specialized topics.
4.
Mastering Data Science
Mastering Data Science
5 Lessons
5 Lessons
Find out about visualizing, processing, modeling, and presenting data for effective analysis.
Certificate of Completion
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