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Discover 25 Free Courses for Excelling in Data Science, Data Engineering, Machine Learning, MLOps, and Generative AI – KDnuggets

Data science, data engineering, machine learning, MLOps, and generative AI are rapidly growing fields that offer exciting career opportunities. However, acquiring the necessary skills and knowledge can be a daunting task, especially for those who are just starting out or looking to expand their expertise. Fortunately, there are numerous free courses available online that can help you excel in these domains. In this article, we will explore 25 such courses recommended by KDnuggets, a leading platform for data science and machine learning professionals.

1. “Introduction to Data Science in Python” by the University of Michigan: This course provides a comprehensive introduction to data science using Python, covering topics such as data manipulation, visualization, and machine learning.

2. “Data Science and Machine Learning Bootcamp with R” by Udemy: This bootcamp-style course covers the fundamentals of data science and machine learning using the R programming language.

3. “Data Science and Machine Learning Bootcamp with Python” by Udemy: Similar to the previous course, this bootcamp focuses on data science and machine learning but uses Python as the primary programming language.

4. “Data Science and Machine Learning Bootcamp with Julia” by Udemy: This course introduces Julia, a high-level programming language for data science and machine learning, and covers various concepts and techniques.

5. “Data Engineering on Google Cloud Platform” by Google Cloud: This course teaches you how to design, build, and operate data processing systems on the Google Cloud Platform.

6. “Machine Learning for Trading” by Georgia Tech: This course explores the application of machine learning techniques in the field of quantitative trading.

7. “Deep Learning Specialization” by deeplearning.ai: This specialization consists of five courses that cover deep learning concepts and techniques, including neural networks, convolutional networks, recurrent networks, and more.

8. “Applied Data Science with Python” by the University of Michigan: This course focuses on applying data science techniques to real-world problems using Python.

9. “Data Science and Machine Learning Bootcamp with Tableau” by Udemy: This bootcamp-style course teaches you how to use Tableau, a popular data visualization tool, for data analysis and machine learning.

10. “Data Science and Machine Learning Bootcamp with MATLAB” by Udemy: This course introduces MATLAB, a powerful programming language for data analysis and machine learning, and covers various topics.

11. “Data Science and Machine Learning Bootcamp with Excel” by Udemy: This course demonstrates how to leverage Excel for data analysis and machine learning tasks.

12. “Data Science and Machine Learning Bootcamp with Power BI” by Udemy: This bootcamp-style course focuses on using Power BI, a business analytics tool, for data science and machine learning.

13. “Introduction to Deep Learning” by MIT: This course provides an introduction to deep learning, covering topics such as neural networks, convolutional networks, recurrent networks, and more.

14. “Data Science and Machine Learning Bootcamp with SQL” by Udemy: This course teaches you how to use SQL for data analysis and machine learning tasks.

15. “Data Science and Machine Learning Bootcamp with SAS” by Udemy: This bootcamp-style course introduces SAS, a software suite used for advanced analytics and data management.

16. “Data Science and Machine Learning Bootcamp with Apache Spark” by Udemy: This course teaches you how to use Apache Spark, a fast and general-purpose cluster computing system, for big data processing and machine learning.

17. “Introduction to Reinforcement Learning” by DeepMind: This course provides an introduction to reinforcement learning, a subfield of machine learning that focuses on decision-making in dynamic environments.

18. “Data Science and Machine Learning Bootcamp with Hadoop” by Udemy: This bootcamp-style course introduces Hadoop, a framework for distributed storage and processing of big data, and covers various concepts and techniques.

19. “Data Science and Machine Learning Bootcamp with TensorFlow” by Udemy: This course teaches you how to use TensorFlow, an open-source machine learning framework, for building and deploying machine learning models.

20. “Introduction to Natural Language Processing” by Stanford University: This course provides an introduction to natural language processing, covering topics such as text classification, sentiment analysis, and language generation.

21. “Data Science and Machine Learning Bootcamp with PyTorch” by Udemy: This bootcamp-style course focuses on using PyTorch, a popular deep learning framework, for building and training neural networks.

22. “Data Science and Machine Learning Bootcamp with Apache Kafka” by Udemy: This course introduces Apache Kafka, a distributed streaming platform, and covers various concepts and techniques.

23. “Introduction to Bayesian Statistics” by Duke University: This course provides an introduction to Bayesian statistics, a branch of statistics that incorporates prior knowledge into the analysis.

24. “Data Science and Machine Learning Bootcamp with MongoDB” by Udemy: This bootcamp-style course

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