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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.
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13 Lectures Intermedite
14 Lectures Beginner Level
4.1 189
55 Lectures
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55 Lectures
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Real-world, code-oriented learning for programmers to use prob/stats in all of CS, Da...
By : Dr. Mohammed Nauman
4.5 510
6:37:37 hrs 32 lectures All Level
comprehensive course to learn Stable Diffusion covering Automatic1111 UI, API, Contro...
By : TechLatest .Net
4.8 574
1:60:32 hrs 14 lectures All Level
Knowledge Generation & Retrieval with Danswer using LLMs & Generative AI...
By : TechLatest .Net
4.8 497
1:43:8 hrs 9 lectures All Level
Harnessing the Power of JupyterHub for Generative AI, ML & Data Science...
By : TechLatest .Net
4.8 509
2:8:37 hrs 11 lectures All Level
Concepts and Projects based learning for aspiring Machine Learning Professionals...
By : Manas Dasgupta
4.3 588
21:25:4 hrs 106 lectures All Level
Apply Data Science using Python, Statistical Techniques, EDA, Numpy, Pandas, Scikit L...
By : Manas Dasgupta
4.3 604
22:52:2 hrs 111 lectures All Level
Gmail Production Gmail Sales...
By : DG Academy
4.8 637
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
4.8 632
4:26:29 hrs 37 lectures All Level
Speak All World Languages with Artificial Intelligence...
By : DG Academy
4.1 748
19 lectures All Level
TinyML is a program for machine learning (ML) and in this course we will help you sta...
By : Ashraf Al Madhoun
4.5 591
2:15:16 hrs 14 lectures All Level
4.2 770720 Beginner Level
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4.8 99590 Beginner Level
4.8 99390 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.