This post was last Updated on June 8, 2023 by Himanshu Tyagi to reflect the accuracy and up-to-date information on the page.
Many data science courses have been popping up on Udemy these days. The course instructors work incredibly hard to update their courses, often at no extra cost to the student, bringing in a complete course content redesign.
So we would like to touch on those courses in this post that have been incredibly beneficial for data science students, and their creators have also invested a lot of time keeping up-to-date.
Also Read: 10 Best Books On Data Science For Beginners [2022]
10 Best Data Science Course On Udemy For Beginners in 2023
For particular subjects, Udemy courses are inherently well-described. Most of the time, the teachers review real-world examples you can follow and apply them to your portfolio. This post will share our top 10 picks for Udemy’s Data Science course.
1. Machine Learning A-Z™: Hands-On Python & R In Data Science
About the Instructor: Kirill Eremenko, the course creator, is a Data Science management consultant. He has over five years of experience in retail, transport, finance, and other industries.
Students enrolled: 7,47,577
Rating: 4.5
This course covers everything in Machine Learning, including Python programming and R. It has 10 main parts involving relevant core Data Science concepts.
Basic knowledge of high school-level mathematics is recommended to take up this course.
Most people who take up this course are the ones who want to learn machine learning, are not familiar with coding, and would like to start a career in Data Science.
You can also use this course to brush up and boost your existing skills and make your resume more competitive.
2. Complete Python Bootcamp: Go from zero to hero in Python
About the Instructor: Jose Marcial Portilla has a BS and MS degree in Mechanical Engineering from Santa Clara University. Besides, he has years of experience as a programming and Data Science instructor.
Students enrolled: 1,23,1061
Rating: 4.6
This is one of the most straightforward and well-rounded Python courses. By walking you through things you need to know to have a solid grasp of Python, the teacher takes you from “zero to hero.” The instructor is also a data scientist with many other data-oriented courses on Udemy.
This shows up in this course, as he uses built-in data manipulation functions like map, filter, reduce, and list comprehension. After completing this course, you will be ready for more in-depth data science with Python.
Also Read: Introduction to Data Science and Analytics
3. Machine Learning, Data Science, and Deep Learning with Python
About the Instructor: Frank Kane holds 17 patents in computing, distributed data mining, and ML. In 2012, Frank started his own company, Sundog Software. It focuses on environment technology, virtual reality, and teaching others about extensive data analysis.
Students enrolled: 142,860
Rating: 4.6
This course contains Python’s detailed walk-through to explore massive data sets with machine learning and data mining techniques. Besides, there is some bonus material on conducting machine learning with Apache Spark and MLLib on vast quantities of data.
In the first module, this course goes through some basics in Python but quickly jumps into the good stuff. To take up this course, it is suggested that you have some programming/scripting experience beforehand. You’ll also get a handy statistical and probability update, so if you’re unfamiliar with that part of machine learning, don’t worry.
Also Read: 35 Funny And Best Python Programming Memes
4. Data Science A-Z: Real-Life Data Science Exercises Included
About the Instructor: Kirill Eremenko is a Data Science management consultant. He has over five years of experience in retail, transport, finance, and other industries.
Students enrolled: 186,650
Rating: 4.6
Starting with data science, this course is a great way to begin. You’ll see almost the whole data science pipeline, from data mining to visualization using Tableau.
With the Chi-Squared test, you will use Linear and Logical Regression techniques, verify the data mining, and much more. Instead of going through the entire course in a sequence, the course is uniquely set up so that you can pick whatever module interests you the most and start with that. So it’s up to you to mine and visualizes data in Tableau or jumps straight to Regression modeling.
Also Read: How To Make A Digital Clock In Python Using Tkinter
5. Taming Big Data with MapReduce and Hadoop – Hands-On!
About the Instructor: Frank Kane holds 17 patents in computing, distributed data mining, and ML. In 2012, Frank started his own company, Sundog Software. It focuses on environment technology, virtual reality, and teaching others about extensive data analysis.
Students enrolled: 21,036
Rating: 4.7
Before you dive into this one, it is recommended that you understand scripting/programming. This course contains real-life examples using Hadoop and various other tools. Even though it is mainly Python, the course is well explained, and anyone who knows another language can also understand it. The best thing about this one is you will learn how to run MRJobs on an actual Hadoop cluster.
Also Read: Getting Started With PySpark on Ubuntu with Jupyter Notebook
6. Data Science: Deep Learning in Python
About the Instructor: This course comes from the ‘Lazy Programmer Inc..’ The instructor is an AI and ML engineer focusing on deep learning. He has a master’s degree in computer engineering and a specialization in pattern recognition and machine learning.
Students enrolled: 45,636
Rating: 4.6
This course teaches you how to write your Neural Network in Python using NumPy and TensorFlow. To take this course, you must know Python, Calculus, Linear Algebra, and Probability.
You’ll learn how deep learning and neural networks are designed. The course will walk you through specific examples that help solidify the content, such as predicting user behavior on a website and recognizing facial expressions.
The instructor does an exceptional job illustrating the nuances of a much more complicated subject and encourages the student to understand possible ventures clearly.
Also Read: Dictionary In Python 3 | Learn With Examples
7. Web Developer Bootcamp with Flask and Python
About the Instructor: Jose Salvatierra is a software engineer and founder of ‘Teclado.’ He founded ‘Teclado’ to bring software development to everyone.
Students enrolled: 31,527
Rating: 4.5
While this course doesn’t have anything to do with data science, this has been included as a fun way to learn about Python and how to do something helpful: creating web apps.
The tutor guides you through Python’s basics and jumps into creating a web app. If you’ve thought about building a data product for Software as a Service (SaaS), check out this course to see how to do just that using Python.
Also Read: 35 Funny And Best Python Programming Memes
8. Learning Python for Data Analysis and Visualization
About the Instructor: Jose Marcial Portilla has a BS and MS degree in Mechanical Engineering from Santa Clara University. Besides, he has years of experience as a programming and Data Science instructor.
Students enrolled: 167,634
Rating: 4.3
You’ll learn a bit of Python intro programming here, but a lot goes straight into working with NumPy arrays. You’ll get much experience learning to evaluate and work with data using Pandas and NumPy.
Just from the number of excellent examples you start going through at the end of the course, this is probably one of the most exciting courses on this list.
Once you have developed your understanding of Pandas and NumPy, you dive into examples such as the Titanic project, stock market analysis, and election analysis. The course is perfect for those who want to start working on concrete projects.
Also Read: 13 Top Benefits Of Computer Programming
9. Taming Big Data with Apache Spark and Python – Hands-On!
About the Instructor: Frank Kane holds 17 patents in computing, distributed data mining, and ML. In 2012, Frank started his own company, Sundog Software. It focuses on environment technology, virtual reality, and teaching others about extensive data analysis.
Students enrolled: 56,492
Rating: 4.5
This one is an excellent intro course to Apache Spark. In this course, you will use Python and run Spark on the desktop and in the cloud.
The teacher gets straight to the point and breaks it down further to make Spark easy to grasp and start with. The instructor will take you from Spark’s basics to writing your Spark jobs using Python, which you can deploy on Amazon Web Services.
Also Read: 10+ Reasons Why You Should Teach Coding To Kids.
10. Python for Data Science and Machine Learning Bootcamp
About the Instructor: Jose Marcial Portilla has a BS and MS degree in Mechanical Engineering from Santa Clara University. Besides, he has years of experience as a programming and Data Science instructor.
Students enrolled: 429,372
Rating: 4.6
This course focuses on Python for Machine learning and Data Science. It includes TensorFlow, NumPy, Matplotlib, Pandas, Seaborn, Scikit-Learn, Plotly, Machine Learning, and more.
Summary
I shared a list of the ten best data science courses on Udemy from some good instructors in this blog. Before choosing a course, go through its content and read the reviews. In this blog, I have shared about the instructors, the total number of students enrolled, and average course reviews.
If I missed some excellent data science courses on Udemy, share them in the comments section, and I would love to add them to this list.
