10 Data Science Courses on Udemy
If you’re looking to enhance your data science skills, Udemy has a wide range of courses that can help you get there. With so many options available, it can be overwhelming to choose the right one.
That’s why we’ve curated a list of 10 top-rated data science courses on Udemy that can help you master the field and stay ahead of the curve.
1. Machine Learning A-Z™: Hands-On Python & R In Data Science
This comprehensive course, taught by Kirill Eremenko and Hadelin de Ponteves, is an excellent starting point for those who want to learn machine learning. With over 2 million students enrolled, the course covers everything from data pre-processing to advanced regression techniques.
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In this course, you’ll learn about data preprocessing, regression, classification, clustering, association rule learning, reinforcement learning, and natural language processing. You’ll also be taught how to apply these techniques using both Python and R. With over 40 hours of content, quizzes, and assignments, this course provides you with a comprehensive understanding of machine learning. The course is designed for beginners and requires no prior experience in data science.
The course has over 535,000 students, and it has been rated 4.5 stars out of 5 by over 110,000 students. It is available in English, German, French, Spanish, Italian, and Portuguese.
2. Data Science A-Z™: Real-Life Data Science Exercises Included
Taught by Kirill Eremenko and SuperDataScience Team, this course is an excellent choice for those who want to learn data science from scratch. With over 600,000 students enrolled, the course covers everything from data exploration to machine learning algorithms.
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In this course, you’ll learn about data analysis, statistics, data visualization, machine learning, and deep learning. You’ll also be taught how to apply these techniques using Python and R. With over 21 hours of content, quizzes, and assignments, this course provides you with a comprehensive understanding of data science. The course is designed for beginners and requires no prior experience in data science.
The course has over 180,000 students, and it has been rated 4.5 stars out of 5 by over 40,000 students. It is available in English, German, French, Spanish, Italian, Portuguese, and Turkish.
3. Python for Data Science and Machine Learning Bootcamp
Taught by Jose Portilla, this course is an excellent choice for those who want to learn Python for data science and machine learning. With over 700,000 students enrolled, the course covers everything from Python basics to advanced machine-learning techniques.
In this course, you’ll learn about Python programming, data analysis, data visualization, machine learning, and deep learning. You’ll also be taught how to use libraries such as NumPy, Pandas, Matplotlib, Seaborn, Scikit-Learn, TensorFlow, and Keras. With over 26 hours of content, quizzes, and assignments, this course provides you with a strong foundation in Python for data science and machine learning. The course is designed for beginners and requires no prior experience in data science.
The course has over 290,000 students, and it has been rated 4.6 stars out of 5 by over 80,000 students. It is available in English, French, Spanish, Portuguese, Turkish, and Chinese.
4. SQL — MySQL for Data Analytics and Business Intelligence
Taught by Maven Analytics and John Pauler, this course is an excellent choice for those who want to learn SQL for data analytics and business intelligence. With over 200,000 students enrolled, the course covers everything from SQL basics to advanced SQL techniques.
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In this course, you’ll learn about SQL basics, data querying, data analysis, and data visualization using MySQL. You’ll also be taught how to create business reports and dashboards. With over 12 hours of content, quizzes, and assignments, this course provides you with a strong foundation in SQL for data analytics and business intelligence. The course is designed for beginners and requires no prior experience in data science.
The course has over 60,000 students, and it has been rated 4.6 stars out of 5 by over 16,000 students. It is available in English.
5. Tableau 2021: Hands-On Tableau Training for Data Science
Taught by Kirill Eremenko and SuperDataScience Team, this course is an excellent choice for those who want to learn Tableau for data science. With over 300,000 students enrolled, the course covers everything from Tableau basics to advanced Tableau techniques.
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In this course, you’ll learn about Tableau basics, data visualization, dashboards, and storytelling. You’ll also be taught how to connect Tableau to different data sources, such as Excel, CSV, and databases. With over 12 hours of content, quizzes, and assignments, this course provides you with a comprehensive understanding of Tableau for data science. The course is designed for beginners and requires no prior experience in data science.
The course has over 70,000 students, and it has been rated 4.6 stars out of 5 by over 15,000 students. It is available in English, French, Spanish, German, and Italian.
6. Deep Learning A-Z™: Hands-On Artificial Neural Networks
Taught by Kirill Eremenko, Hadelin de Ponteves, and SuperDataScience Team, this course is an excellent choice for those who want to learn about deep learning and artificial neural networks. With over 280,000 students enrolled, the course covers everything from neural networks basics to advanced techniques such as convolutional and recurrent neural networks.
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In this course, you’ll learn about neural networks, deep learning, convolutional neural networks, recurrent neural networks, autoencoders, and generative adversarial networks. You’ll also be taught how to use popular deep-learning libraries such as TensorFlow and Keras. With over 22 hours of content, quizzes, and assignments, this course provides you with a strong foundation in deep learning and artificial neural networks. The course is designed for beginners and requires no prior experience in data science.
The course has over 90,000 students, and it has been rated 4.5 stars out of 5 by over 22,000 students. It is available in English, French, Spanish, German, and Italian.
7. The Data Science Course 2021: Complete Data Science Bootcamp
Taught by 365 Careers, this course is an excellent choice for those who want a complete data science boot camp. With over 750,000 students enrolled, the course covers everything from data science basics to advanced machine learning and deep learning techniques.
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In this course, you’ll learn about statistics, data analysis, data visualization, machine learning, deep learning, and big data. You’ll also be taught how to use popular data science tools such as Python, R, and SQL. With over 30 hours of content, quizzes, and assignments, this course provides you with a comprehensive understanding of data science. The course is designed for beginners and requires no prior experience in data science.
The course has over 150,000 students, and it has been rated 4.6 stars out of 5 by over 39,000 students. It is available in English, Spanish, French, Portuguese, and Turkish.
8. Data Science Essentials in Python: Collect — Organize — Explore — Visualize — Analyze — Share
Taught by Boris Paskhaver, this course is an excellent choice for those who want to learn data science essentials in Python. With over 70,000 students enrolled, the course covers everything from data collection to data sharing.
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In this course, you’ll learn about data collection, data organization, data exploration, data visualization, data analysis, and data sharing using Python. You’ll also be taught how to use popular data science libraries such as Pandas, Matplotlib, and Seaborn. With over 13 hours of content, quizzes, and assignments, this course provides you with a strong foundation in data science essentials in Python. The course is designed for beginners and requires no prior experience in data science.
The course has over 34,000 students, and it has been rated 4.6 stars out of 5 by over 9,000 students. It is available in English.
9. Data Science and Machine Learning Bootcamp with R
Taught by Jose Portilla, this course is an excellent choice for those who want to learn data science and machine learning with R. With over 110,000 students enrolled, the course covers everything from R basics to advanced machine learning techniques.
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In this course, you’ll learn about R programming, data exploration, data visualization, machine learning, and deep learning. You’ll also be taught how to use popular data science libraries such as ggplot2, dplyr, tidyr, caret, and TensorFlow. With over 25 hours of content, quizzes, and assignments, this course provides you with a comprehensive understanding of data science and machine learning with R. The course is designed for beginners and requires no prior experience in data science.
The course has over 45,000 students, and it has been rated 4.6 stars out of 5 by over 12,000 students. It is available in English.
10. Data Science and Machine Learning Bootcamp with Python
Taught by Jose Portilla, this course is an excellent choice for those who want to learn data science and machine learning with Python. With over 160,000 students enrolled, the course covers everything from Python basics to advanced machine-learning techniques.
Start the course here.
In this course, you’ll learn about Python programming, data exploration, data visualization, machine learning, and deep learning. You’ll also be taught how to use popular data science libraries such as NumPy, Pandas, Matplotlib, Seaborn, Scikit-Learn, and TensorFlow. With over 25 hours of content, quizzes, and assignments, this course provides you with a comprehensive understanding of data science and machine learning with Python. The course is designed for beginners and requires no prior experience in data science.
The course has over 72,000 students, and it has been rated 4.5 stars out of 5 by over 21,000 students. It is available in English, French, Spanish, Portuguese, and Turkish.
Conclusion
These are just ten of the many data science courses available on Udemy. Whether you’re a beginner or an experienced data scientist, these courses can help you enhance your skills and stay ahead of the curve.
So why wait? Start learning today and take your data science career to the next level!
