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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.
306 Lectures All Level
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111 Lectures All Level
13 Lectures Beginner Level
124 Lectures Intermedite
62 Lectures Beginner Level
30 Lectures Beginner Level
14 Lectures Beginner Level
19 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 Prompt Engineering Pro with ChatGPT, Gemini, Bing AI and More!...
By : Emma Al
4.3 3
34 lectures All Level
Master Generative AI adoption skills of Fortune 500 leaders taught by world - renowne...
By : Dr. Gleb Tsipursky
4.3 7
8 lectures All Level
Real-world, code-oriented learning for programmers to use prob/stats in all of CS, Da...
By : Dr. Mohammed Nauman
4.5 574
6:37:37 hrs 32 lectures All Level
comprehensive course to learn Stable Diffusion covering Automatic1111 UI, API, Contro...
By : TechLatest .Net
4.8 635
1:60:32 hrs 14 lectures All Level
Knowledge Generation & Retrieval with Danswer using LLMs & Generative AI...
By : TechLatest .Net
4.8 570
1:43:8 hrs 9 lectures All Level
Harnessing the Power of JupyterHub for Generative AI, ML & Data Science...
By : TechLatest .Net
4.8 561
2:8:37 hrs 11 lectures All Level
Concepts and Projects based learning for aspiring Machine Learning Professionals...
By : Manas Dasgupta
4.3 646
21:25:4 hrs 106 lectures All Level
Apply Data Science using Python, Statistical Techniques, EDA, Numpy, Pandas, Scikit L...
By : Manas Dasgupta
4.3 649
22:52:2 hrs 111 lectures All Level
Gmail Production Gmail Sales...
By : DG Academy
4.8 691
16 lectures All Level
Accelerate Your Code Mastery: A Deep Dive into Tabnine AI for Effortless and Efficien...
By : Sekhar Metla (Microsoft Certified Professional) Sudha
4.8 693
4:26:29 hrs 37 lectures All Level
4.2 770773 Beginner Level
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4.8 99656 Beginner Level
4.8 99471 All 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.