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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
52 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
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Concepts and Projects based learning for aspiring Machine Learning Professionals...
By : Manas Dasgupta
4.3 167
21:25:4 hrs 106 lectures All Level
Apply Data Science using Python, Statistical Techniques, EDA, Numpy, Pandas, Scikit L...
By : Manas Dasgupta
4.3 156
22:52:2 hrs 111 lectures All Level
Gmail Production Gmail Sales...
By : DG Academy
4.8 195
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
4.8 210
4:26:29 hrs 37 lectures All Level
Speak All World Languages with Artificial Intelligence...
By : DG Academy
4.1 282
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
4.5 163
2:15:16 hrs 14 lectures All Level
Unleash the Power of Data: EDA, Sentiment Analysis, Predictive Modeling, Time Series ...
By : Temotec Learning Academy
4.3 204
27 lectures All Level
Linear Regression - Theory, Intuition, Mathematics and Implementation in Python...
By : Zeeshan Ahmad
4.4 238
6:43:50 hrs 41 lectures All Level
Practical Oriented explanations of Machine Learning and Deep Learning Models With mor...
By : Zeeshan Ahmad
4.8 264
306 lectures All Level
Learn all the R skills you need to become a Professional and Certified R Programmer w...
By : Ahmed Ibrahim
4.5 318
5:1:20 hrs 96 lectures All Level
4.2 769656 Beginner Level
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4.8 99015 Beginner Level
4.9 98565 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.