Best data science course on Udemy

Publish Date - February 20th, 2023

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Last Modified - May 11th, 2023

In a world of artificial intelligence, machine learning, and computer science, there’s a lot of power available for an individual with a computer. As per IBM’s audit of the world’s AI state, 60-80 percent of companies surveyed in 2021-2022 were either exploring AI or had implemented AI within their work process. It’s clear that in this modern age, we’ll need to at least know how AI and its relevant disciplines work. Python, SQL, R, statistics, math, Excel, and linguistics are just some of the base skills required to be a ML engineer or data scientist.

On Udemy, you can learn all of these skills and more. Udemy data science courses are excellent when it comes to providing industry knowledge and technical hands-on problems to help you understand a variety of skills. The purpose of this article is to help provide you with the best Udemy data science courses available today. I hope you enjoy!

7 Best Udemy Data science courses of 2023

Category	Ratings	Frameworks | Highlights
Best Data science course overall by 365 Careers	4.6 / 5 stars | ~120k reviews	Python, NumPy, ML algorithms (training, n-fold, hyper parameters) Deep learning, Tensorflow, Regression (linear, logistic), Statistics, Tableau, Scikit-learn, multiple business cases, preprocessing, neural networks.
Best Data science course w/ R-programming by Kirill Eremenko	4.6 / 5 stars | ~50k reviews	R-programming (a lot), R studio, distributions, package usage, statistical data analysis in R, Vectoring in R.
Best hands on projects for Data science by Frank Kane	4.6 / 5 stars | ~30k reviews	Matplotlib, Seaborn, Neural networks (Tensorflow, Keras), Classifying images, data, sentiments, deep learning, 4 projects, K-fold validation
Best Data science for Python beginners by Boris Paskhaver	4.7 / 5 stars | ~20k reviews	Tons of python library work, tons of work in Pandas and other python libraries, learn how to troubleshoot incomplete data sets.
Best Data science for Apache Spark w/ Scala by Frank Kane	4.6 / 5 stars | ~17k reviews	Learn Scala and how to deploy spark scripts on Hadoop clusters, GraphX, SparkSQL, DataFrames and Datasets, ML on Spark
Best TensorFlow 2 course for certifications by Andrei Neagoie	4.7 / 5 stars | ~6.4k reviews	Training for Tensorflow for the certifications. Neural networks, NLP, image recognition, neural networks, time series forecasting.
Best Tableau courses for certifications by Lukas Halim	4.6 / 5 stars | ~16k reviews	SQL, training for Tableau data analyst certifications, trendlines, R-squared, p-value, regression trend lines (time-series forecasting)

Note: There are affiliate links above and below to Udemy and other parties that I may receive commissions from. However, I highly recommend these products due to the fact that I’ve audited or taken them before.

Best overall course on Udemy for Data Science by 365Careers

The Data Science Course 2023: Complete Data Science Bootcamp overview:

The Data Science Course Complete Data Science Bootcamp on Udemy is the best overall data science course for anyone looking to learn about data science and gain the skills necessary for a successful career in this field. This comprehensive course covers topics from SEO to Excel, Natural Language Processing (NLP), machine learning, and more. It’s taught by experienced instructors who guide students through each step of the process with clear instructions and engaging examples.

Pros:

• Everything you need to start, learn, and understand data science is in this course. You don’t need prior data science experience to take it.
• 365careers offers a solid set of instructors, is professionally made and provides great training. I’ve learned both Python and SQL from 365careers.
• Lots of case studies, and not just your typical tutorials.
• Great course if you’re just starting out in a data science career or data engineering.
• Plenty of regression analysis.

Cons:

• It’s a somewhat complicated course that is fairly long. You’ll need the stomach to get through the 30+ hour courses.
• Some real world data problems would be better, as the data and concepts worked on are a little trivial.
• More machine learning models would be good examples (Markov, etc.).

The Instructor:

365careers specialize in providing a multitude of different courses for business intelligence, machine learning, data analytics, and general coding. While I personally don’t know any of the instructors who teach the courses, and these instructors may not be working on top companies, the quality of the content is amazing. It’s similar quality to Udacity and Coursera courses – if not better!

This course helped me to better understand python language regarding business interpretation and statistics! Thanks a lot!

Rita C. – 5 / 5 stars – January 2023

This course clearly stated the objectives at the beginning. It helped a lot to understand the subtle differences in the jargons used in the industry and relate to each one of them throughout the course. All practical examples along with business cases helped in relating the theory to applicability. Kudos and Thank you !!

Srivathsa K. – 5 / 5 stars – December 2022

Verdict:

This is an awesome course to take if you have no experience in data science, NLP or statistical analysis. The step-by-step process of 365careers is the best. I especially recommend their business analytics course, which is also one of the top Udemy courses.

Try out this great Data science course on Udemy now!

Best Data science course w/ R-programming by Kirill Eremenko

R Programming A-Z™: R For Data Science With Real Exercises overview:

R Programming on Udemy is one of the best data science courses that focuses on R programming language specifically. This course provides an overview of all aspects of working with R, including fundamental concepts such as functions and objects, debugging techniques, working with various datasets, basic statistical methods, and graphics capabilities.

Pros:

• Lots of R programming.
• Tons of statistics workup with some vectoring.
• Kirill Eremenko is one of the biggest Udemy course providers on data science, machine learning, and mathematics.
• Great homework solutions, extremely applicable for data science projects.

Cons:

• No Python or other machine learning strategies.
• If you don’t have experience in mathematics like matrices or vectors, this course may be tough.

Instructor:

Kirill is a solid instructor with an insane amount of experience in teaching online courses, neural networks, and other machine learning courses. I’ve reviewed many of his courses – web development, SQL, NLP, and machine learning.

What do his students think?

Excellent course! I knew absolutely nothing about R programming and this course exceeded my expectations. Kirill has solid knowledge in R and manages to convey this knowledge very precisely

Manuel Vieira Siqueira D. – 5 / 5 stars – February 2023

I took this course to prepare for a master’s in Educational analysis. My background was a degree in early childhood education, so I only had experience with qualitative analysis. This course helped me prepare for the initial data science course in my program and I could “hit the ground running”.

Fanny L. 5 / 5 stars – January 2023

Verdict:

Great course if you’re trying to learn R programming, not so much if you want data visualization or data mining (since these are better with Python or Matplotlib). However, you will do GGplot2, which provides you with some data visualization that you may see in a normal data analyst’s line of work. And Kirill’s classes are always solid, so you won’t be sorry for taking this course.

Learn R programming with one of Udemy’s top teachers now!

Best hands on data science course to learn ML, deep learning, and Python

Machine Learning, Data Science and Deep Learning with Python overview:

The Data Science and Machine Learning with Python Hands-On course on Udemy is the perfect choice for anyone looking to start their journey into the world of data science and machine learning using the popular Python programming language. This comprehensive course covers everything from data wrangling, supervised learning, and unsupervised learning, to natural language processing, computer vision, reinforcement learning, and deep learning.

Pros:

• Tons of projects and data science/statistics. You’ll even touch on Apache Spark’s ML library, which a lot of these courses don’t do.
• Learn how to classify images and data using deep learning.
• Data visualization with Matplotlib and Seaborn.
• Build multiple projects (Movie recommender, Pac-man bot, Collaborative user filter).

Cons:

• There’s a lot of to learn in this course, and it may be too much for an intermediate level.
• You’ll need prior coding language skills to participate in this course.

Instructor:

Frank Kane is a solid instructor who runs an entire business geared towards teaching ML, data analytics, data engineering, and interview prep. He’s fluent in Python and all things ML, plus he’s worked at Amazon and IMDb.

What do his students say:

Extensive quality content, with friendly and encouraging presentation. However the course needs to be taken more than once as there is just so much to learn!

Geoffrey P. – 4.5 / 5 stars – January 2023

A great introduction to Machine Learning and explained in a very interesting way by a great lecturer. The hands on aspect of the course was very appealing as it really helped to cement concepts – the lectures to help set up everything in detail were very helpful in this respect.

Would highly recommend for getting a flavour of what machine learning is about and how difficult it can be!

Allan M. – 5 / 5 stars – February 2023

Verdict:

Solid course to grow your skills, but definitely not a data science and machine learning bootcamp. It’s a little too advanced for your basic class, so if you’re just starting off, you’re better off sticking to one of Jose Portilla’s courses.

Start your machine learning portfolio with Frank Kane

Best Data science for Python beginners by Boris Paskhaver

Data Analysis with Pandas and Python overview:

If you’re looking to get started with data analysis using Python, then Data Analysis With Pandas on Udemy is your best choice. It covers several important topics such as importing/exporting datasets into Pandas DataFrames; indexing and selecting data; working with time series; dealing with missing values; grouping, aggregating and pivoting; and applying descriptive statistics. Panda, for those who are new to the skill set, is good at data visualization and manipulating data for business analysis.

Pros:

• If a data science job is what you’re after, you’ll need to be proficient at Python and Panda. This course is great at teaching you both.
• Outstanding detailed lectures on how to work with Excel and Python + Panda.
• A true “specialization” in Python’s Panda library.

Cons:

• You need to have skills in Python to take this course.
• You need to understand Excel as well, since there’s quite a bit of data manipulation.

Instructor:

Boris Paskhaver was a data analyst and software engineer for companies such as Indeed.com and Publicis media. He now focuses on consulting for large VIA software engineering companies (Deloitte, Vanguard). In this career path, he’s a consultant by day and teacher by night.

What his students think:

Hello everyone! I would give 10 stars if possible. I did not know anything about Python neither Pandas, I was looking for ideas to analyze large Excel files (Power BI and Google Data Studio did not work for me) and with this course Boris taught me the basics and intermediate tools for data analysis using pandas. BUY THIS COURSE, you will not regret! Congratulations Boris (I will buy your book on amazon too).

Isaac F. – 5 / 5 stars – February 2023

What I found special about this course is that after learning a topic, we have to solve the respective coding challenge which is embedded within the section.

Gaurav S. – 4.5 / 5 stars – January 2023

Verdict:
Amazing data science training specific in Pandas. If you’re looking for a solid instructor and specifically want to learn how you can manipulate Microsoft Excel with Python’s Panda library, take this course. However, if you’re looking for something more machine learning based, with Python & R , skip it.

Learn Python’s Panda and other Python libraries now!

Best Course for Apache Spark and Scala by Frank Kane

Apache Spark with Scala – Hands On with Big Data overview:

For those who want to explore the power of Apache Spark with Scala, Udemy offers Apache Spark With Scala Hands-On With Big Data. This course provides an in-depth look at working with Apache Spark and its components such as RDDs, DataFrames, streaming data applications, and machine learning algorithms. This is another highly rated Frank Kane course, but specifically focusing on Apache Spark, Hadoop, and Scala.

Pros:

• One of the only high-quality courses that teaches this stuff on Udemy.
• GraphX, SparkSQL, DataFraming, and Machine learning are all covered in this course.
• Notably hands-on executions like “Find the Most Popular Movie”, “Find the most popular superhero in a social chart,” and other types of highly relevant real-life data science exercises included in this course.

Cons:

• No Python and R, this is a purely Scala, Hadoop course. That being said, you’ll learn ML in this framework instead.
• The course is rather short – while most of these courses run 20-30 hours, this one is only nine hours long, so you’re not getting as much in-depth knowledge.

Instructor:

Despite the cons of this course, Frank is a fantastic instructor, boasting many years of experience working at large multinational companies doing data science and machine learning.

What do his students say?

Great overview of Spark with a nice overview of Scala included. Great work. The explanation for the nuances between RDD’s, dataframes, and datasets was very helpful to me.

In my case, I am using Spark with Hadoop but not sure that will be covered in much depth in this course. In either case, I think I’ll have enough foundation from this course to hopefully get me set to interact with Hadoop (and Hive) as well from Spark. But, perhaps at least a brief intro to those concepts in this course would be helpful to folks in my situation as well (if not already included somewhere here).

R C. – 5 / 5 stars – December 2022

I think is quite complete the content that you can find in this course and the extra sections also have interesting info

Julio L. – 5 / 5 stars – January 2023

Verdict:

This is an easy one. If you’re looking to learn Spark + Hadoop w/ ML, take this course. If you already know it or don’t have any inclination to learn it, avoid this course. Frank Kane is a strong instructor with over a decade of experience in ML and data science. Ultimately, he won’t steer you wrong.

Learn Apache Spark, Scala and Hadoop data management now!

Best TensorFlow 2 course for certifications by Andrei Neagoie

TensorFlow Developer Certificate in 2023: Zero to Mastery overview:

TensorFlow Developer Certificate Machine Learning Zero To Mastery is Udemy’s best offering for anyone looking for certification in the popular deep learning framework, TensorFlow. This comprehensive course covers topics such as CNNs, RNNs, reinforcement learning models, transfer learning techniques, and more. It also includes content on deploying models into production systems such as Google Cloud. With this course, anyone can learn the necessary skills to become a successful data scientist.

Pros:

• Lots of projects, and everyone in this course has a change over to a milestone project – you’ll do 3-4 in total.
• This is a great data science a-z course, where you’ll jump straight into deep learning and TensorFlow fundamentals, neural network regression, and classification, and then transfer learning with TensorFlow.
• There’s a number of NLP topics in this project.
• A quick lecture on how to pass the TensorFlow developer certificate exam.
• It rounds out with NumPy, Pandas, and general data science.

Cons:

• This is a long course – it runs 63 hours, but you may spend 80 hours in total.
• No Python prerequisite, but this course is full of Python – it’s not for noobs.

Instructor:

While instructors Andrei Neagoie and Daniel Bourke are not necessarily ML experts, but they both have their strengths. Andrei has been a developer at a number of companies before zerotomastery, a tech skill training company. Daniel was an ML engineer for hire in Australia before starting his own company. While their pedigrees aren’t the strongest, the amount of detail they add to the course is strong.

What do his students say:

This is a great course for beginners and intermediate, almost everything was covered briefly (even deep understanding of various objects). Definitely much more value than money. I am completely satisfied and happy with this course (I have purchased almost 90 courses on udemy and none of those can beat quality of this course)

Atul S. – 5 / 5 stars – January 2023

Absolutely astonished on how effective this 63 hour(few months indeed) I spent here. Daniel made incredible work making the process fun and alive. Thank you!

Philipp M. – 5 / 5 stars – February 2023

Verdict:

Tensorflow (especially Tensorflow 2) is a hot topic right now as it’s fundamental to deep learning, neural networks and transfer learning. While this course may not be a machine learning a-z type of course, it’s meant to help you understand one of the most popular frameworks in ML. You’ll struggle to find a better course on eDX, Coursera or any other learning platform – specifically for Tensorflow. Plus, they help try to prepare you for the Tensorflow developer certificate, a recognized certification across the industry.

Get qualified in TensorFlow 2 now!

Best Tableau courses for certifications by Lukas Halim

Tableau Accelerate Your Career and Get Certified is a comprehensive course offered by Udemy to help you learn Tableau, an analytics software. In this class, students can take their career to the next level by learning what they need to become certified in Tableau. It covers topics such as basic data analysis techniques, creating interactive dashboards, advanced analytical techniques like forecasting, clustering and linear regression, and how to leverage Tableau for reporting purposes. You’ll also get hands-on practice with real-world examples. At the end of the course, learners will be able to create dynamic visuals that tell stories from their data sets in minutes. As a bonus, those who complete this course are eligible for a free Tableau Desktop certification exam. This is an excellent course for professionals looking to strengthen their Tableau skills and start a career in Data Analytics.

Pros:

• Tableau is an extremely properly data visualization tool – you can’t go wrong learning this skill set.
• The certifications are rigorous, but also sought after – you’ll have the fundamental skills to visualize cool dashboards for management.
• Quick and dirty course (under 10 hours), you can easily get this over with in a weekend.
• Instructor Luke Halim is actually a data scientist, with years of experience.
• Great portfolio creation at the end, plus tips on how to pass Tableau certifications.
• Luke has both the Tableau Certified Data analyst and the Tableau Desktop specialist certifications.

Cons:

• While there is some SQL, it’s basic and most of the queries are copy and paste.
• Data sets are a little stale.

Instructor:

As previously stated, Luke is actually a data scientist and has worked at companies like Accenture and General Electric. He has two certifications (out of the current five), which means he has the right mindset for what the tests are like.

What do his students think?

I like this course for its good down to Earth approach to explaining the basics and not trying to show off how clever the instructor can be.

Anthony L. – 4 / 5 stars – January 2023

It is just amazing. Everything is being explained minutely. The mentor is also having clarity of words.

Ishwaree K. – 4.5 / 5 stars – January 2023

Verdict:

If you’re looking for a good place to start your Tableau certification experience, this is a great course to pick up. While it shouldn’t be the only studying you do, it’ll help outline skills and provide a cost effective tool to learn Tableau. Luke has two certifications, one having been attained recently (2022), so you know you’ll get some insight into the tests.

Learn to get the Tableau certifications now!

Conclusion

Udemy provides some of the best data science and machine learning courses available online. From SEO to Excel, NLP, Apache Spark with Scala and TensorFlow, there are plenty of options for students looking to learn the basics or expand their expertise in these fields. With clear instructions and engaging examples, each course is designed to provide an in-depth look at the topic while building the necessary skills required for success. As such, these courses are perfect for anyone who wants to make a career in data science or machine learning.

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