10 Best Data Science Courses On Udemy [2021]

0
323

There have been a lot of data science courses popping up on Udemy these days. The course instructors work incredibly hard to keep their courses updated, 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 not only been incredibly beneficial for students of data science, but their creators have also invested a lot of time keeping up-to-date.

Also Read10 Best Books On Data Science For Beginners [2021]

10 Best Data Science Course On Udemy For Beginners

For particular subjects, Udemy courses are inherently well described. Most of the time, the teachers take time to go over real-world examples that you can follow and apply to your portfolio. This post will share our top 10 picks for Udemy’s Data Science course with you.

1. Machine Learning A-Z™: Hands-On Python & R In Data Science

About the Instructor: Kirill Eremenko, the creator of this course, is a Data Science management consultant. He has overall experience in retail, transport, finance, and other industries over five years.

Students enrolled: 7,47,577

Rating: 4.5

This course covers all things in Machine Learning, including Python programming and R. It has 10 main parts, all involving very relevant core Data Science concepts.

For you to take up this course, basic knowledge of high school level mathematics is recommended.

Most people who take up this course are the ones who want to learn machine learning, are not familiar with coding, and would want 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.

View this course.


Also ReadExpert Advice from Rajiv Shah – Data Scientist and AI Researcher


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 professional instructor for programming and Data Science.

Students enrolled: 1,23,1061

Rating: 4.6

This is one of the most straightforward and most well-rounded Python courses. By walking you through things you will 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 who has many other data-oriented courses on Udemy.

This shows up in this course, as he takes us through some of the built-in functions of data manipulation, such as map, filter, reduce and list comprehension. You will find yourself ready for more in-depth data science with Python after completing this course.

View this course.


Also ReadIntroduction 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 big data analysis.

Students enrolled: 142,860

Rating: 4.6

This course contains a detailed walk-through using Python 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 massive 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, then don’t worry.

View this course.


Also Read35 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 overall experience in retail, transport, finance, and other industries over five years.

Students enrolled: 186,650

Rating: 4.6

If you’re starting with data science, this course is a great way to begin. You’ll see almost the whole pipeline of data science, 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 in a way that you can pick whatever module interests you the most and start with that. So it’s up to you if you want to mine and visualize data in Tableau or jump straight to Regression modeling.

View this course.


Also ReadHow 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 big 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 with the knowledge of another language can also understand it. The best thing about this one is you will learn how to run MRJobs on a real Hadoop cluster.

View this course.


Also ReadGetting 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 with a focus 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

In this course, you will be learning how to write your own Neural Network in Python using NumPy and TensorFlow. You will need to know Python, Calculus, Linear Algebra, and Probability for taking up this course.

You’ll learn how deep learning and neural networks are designed. You will be walked 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 gain a clear understanding of possible ventures.

View this course.


Also ReadDictionary 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 directly, this has been included as more of a fun way to learn about Python while also learning how to do something helpful: creating web apps.

The tutor guides you through several of Python’s basics and jumps straight into creating a web app. I consider this ability useful to data scientists because it helps you to host your data solutions effortlessly in the same language in which you analyze them.

If you’ve thought about building a data product for Software as a Service (SaaS), then definitely check out this course to see how you can do just that using Python.

View this course.


Also Read35 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 professional instructor for programming and Data Science.

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 a lot of experience learning how to evaluate and work with data using Pandas, along with 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.

View this course.


Also Read13 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 big data analysis.

Students enrolled: 56,492

Rating: 4.5

This one is an excellent intro course to Apache Spark. In this course, you will be using Python, and you’ll be running Spark on the desktop and in the cloud.

To make Spark easy to grasp and get started with, the teacher gets straight to the point and then breaks it down further. The instructor will take you from Spark’s basics to writing your Spark jobs using Python, which you can deploy on Amazon Web Services.

View this course.


Also Read10+ 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 professional instructor for programming and Data Science.

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.

View this course.

Summary

In this blog, I shared a list of the 10 best data science courses on Udemy from some good instructors. 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.

In case I missed some excellent data science courses that are available on Udemy, then share them in the comments section, and I would love to add them to this list.