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Browse CoursesData science is one of todays top careers. Get the training you need to get ahead—or stay on top—in fields such as data analysis, mining, visualization, and big data, using tools like Excel, R, Hadoop, and Python.
111 Lectures All Level
106 Lectures All Level
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17 Lectures All Level
13 Lectures Intermedite
14 Lectures Beginner Level
52 Lectures All Level
306 Lectures All Level
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41 Lectures All Level
4.1 189
55 Lectures
4.1 189
55 Lectures
4.1 189
55 Lectures
4.1 189
55 Lectures
4.1 189
55 Lectures
4.1 189
55 Lectures
4.1 189
55 Lectures
Become a professional Data Scientist with R and learn Machine Learning, Data Analysis...
By : Juan Galvan
4.1 7526
22:15:26 hrs 72 lectures All Level
From Beginner to Advanced Level...
By : Pruthviraja L
4.1 63916
2:7:1 hrs 19 lectures Intermedite
Learn what you should be doing today to prepare your career for the coming wave of AI...
By : Matthew Renze
4.2 96144
18 lectures Beginner Level
Introduction to Programming Language R. Tools for Data Science, Data Analysis and Sta...
By : Marko Intihar
4.3 83473
13:26:19 hrs 78 lectures Beginner Level
Includes Machine Learning, Data Science, Web Scraping...
By : Shyngys Shynbolatov
4.3 68066
1:11:24 hrs 4 lectures All Level
Master Machine Learning by getting your hands dirty on Real Life Case studies. Be A K...
By : Cosmic .
4.7 47762
11:55:15 hrs 112 lectures All Level
Learn to Deploy Machine Learning Models. Learn about Server and Serverless Frameworks...
By : Cosmic .
4.1 52879
7:49:34 hrs 109 lectures All Level
Basic about Data Science, Machine Learning, Data Analytics, Data Visualization...
By : Datahill Solutions
4.2 61021
7:49:40 hrs 13 lectures All Level
4.2 769811 Beginner Level
4.1 568143 All Level
4.1 345867 All Level
4.6 100028 All Level
4.2 99883 All Level
4.8 99591 All Level
4.9 99098 All Level
4.8 99074 Beginner Level
4.9 98607 Beginner Level
Data Science courses are suitable for aspiring data scientists, analysts, programmers, and individuals interested in leveraging data for predictive modeling, pattern recognition, and decision-making.
Participants will develop skills in programming languages such as Python or R, statistical modeling, machine learning algorithms, data cleaning and preprocessing, and data visualization techniques.
Prerequisites depend on the course level. Introductory courses may require only basic math and programming knowledge, while advanced programs might assume a stronger background in statistics or computer science.
Yes, many Data Science courses are available online, providing flexibility for learners to study remotely. Online courses often include practical exercises, real-world projects, and interactive learning platforms.
Most courses offer certificates or diplomas upon completion, recognizing the acquired data science skills. Some programs may lead to more advanced certifications or degrees in data science.