The 20 Best Data Science Courses on Udemy to Consider – Solutions Review


Source: Udemy
The editors at Solutions Review have compiled this list of the best data science courses on Udemy to consider if you’re looking to grow your skills.
Data science is one of the fastest-growing fields in America. Organizations are employing data scientists at a rapid rate to help them analyze increasingly large and complex data volumes. The proliferation of big data and the need to make sense of it all has created a vortex where all of these things exist together. As a result, new techniques, technologies, and theories are continually being developed to run advanced analysis, and they all require development and programming to ensure a path forward.
With this in mind, we’ve compiled this list of the best data science courses on Udemy if you’re looking to grow your advanced analytics skills for work or play. Udemy is one of the top online education platforms in the world with more than 130,000 courses, expert instruction, and lifetime access that allows you to learn on your own schedule. As you can see below, we broke the best data science courses on Udemy down into categories based on the recommended proficiency level. Each section also features our inclusion criteria. Click GO TO TRAINING to learn more and register.
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Note: We included courses with more than 900 reviews and a rating of 4.3 stars or better.
Description: If you’ve got some programming or scripting experience, this course will teach you the techniques used by real data scientists and machine learning practitioners in the tech industry – and prepare you for a move into this hot career path. This comprehensive machine learning tutorial includes over 100 lectures spanning 14 hours of video, and most topics include hands-on Python code examples you can use for reference and for practice. Each concept is introduced in plain English, avoiding confusing mathematical notation and jargon. It’s then demonstrated using Python code you can experiment with and build upon, along with notes you can keep for future reference.
Description: In this introductory course, you will be guided through wilderness of machine learning for data science.  Accessible to everyone, this introductory course not only explains machine learning, but where it fits in the “technosphere” around us, why it’s important now, and how it will dramatically change our world today and for days to come. This course is a great primer for starting Python or R, introducing the fundamentals that you need before going hands-on.
Description: This course focuses on “how to build and understand”, not just “how to use”. Anyone can learn to use an API in 15 minutes after reading some documentation. It’s not about “remembering facts”, it’s about “seeing for yourself” via experimentation. It will teach you how to visualize what’s happening in the model internally. If you want more than just a superficial look at machine learning models, this course is for you.
Description: This course, which is instructed by a data scientist with 4-years of experience, is designed for absolute beginners to data science and machine learning. It covers each aspect of Python languages required in data science, machine learning and deep learning. This course is for beginners in Python development, programming, data science, and machine learning. Python for Data Science has a nearly perfect 4.9 stars.
Description: This course does not teach you data science or machine learning. Python is a broad purpose programming language. It can be used for a variety of purposes like building websites, process automation, Dev Ops, and data science. However, this Python programming course is designed specifically to cater to the needs of the machine learning or data science learner. By the end of this course, you will be in a good position to apply your Python skills to apply to any of the machine learning or data science algorithms in Python.
Description: In this course, you will first talk about clustering. This is where instead of training on labels, you will try to create your own. You’ll do this by grouping together data that look alike. Next, the instructors will go into Gaussian mixture models and kernel density estimation, where they will talk about how to “learn” the probability distribution of a set of data. All the algorithms they’ll talk about in this course are staples in machine learning and data science, so if you want to know how to automatically find patterns in your data with data mining and pattern extraction, without needing someone to put in manual work to label that data, then this course is for you.
Description: This course enables students to pick up all the core concepts that veteran data scientists understand intimately. Use common industry-wide tools like SQL, Tableau, and Python to tackle problems, and get guidance on how to launch your own data science projects. Complete this course, master the principles, and join the ranks of data scientists all around the world.
Description: If you want to get valuable insights, advice, hacks and tips, recommendations, lessons from failures and successes from expert’s careers and learn how to apply it to your own and take your data science career to the next level, then this course is just for you. This module was designed for any student or professional who wants to start or transition to a career in the field, and even data scientists who wish to improve their standing.
Note: We included courses with more than 5,000 reviews and a rating of 4.5 stars or better.
Description: This course will get you started in building your first artificial neural network using deep learning techniques. This module provides you with many practical examples so that you can really see how deep learning can be used on anything. Throughout the course, you’ll do a course project, which will show you how to predict user actions on a website given user data like whether or not that user is on a mobile device, the number of products they viewed, how long they stayed on your site, whether or not they are a returning visitor, and what time of day they visited.
Description: This course is for those looking to take their R programming skills to the next level or become proficient at data science and analytics with R. This module features professional R video training, unique datasets designed with years of industry experience in mind, and engaging exercises that are both fun and also give you a taste for analytics in the real world.
Note: We included courses with more than 1,400 reviews and a rating of 4.5 stars or better.
Description: This course teaches you everything you need to know to become a data scientist at a fraction of the cost of traditional programs (not to mention the amount of time you will save). You should take this course if you want to become a Data Scientist or if you want to learn about the field. The course is also ideal for beginners, as it starts from the fundamentals and gradually builds up your skills. There is a 30-day money-back guarantee on this module as well.
Description: Data Science A-Z is a practical, hands-on course that allows students to experience the pain a data scientist has to go through on a daily basis via corrupt data, anomalies, and data irregularities. Upon completion, you will know how to clean and prepare your data for analysis, perform basic visualizations, model your data, curve-fit your data, and present findings that can help generate insights.
Description: In no time, you will acquire the fundamental skills that will enable you to understand complicated statistical analysis directly applicable to real-life situations. The module features high-quality production with HD video and animations, a knowledgeable instructor, complete training, extensive case studies, and excellent support with answers to questions in one business day. It also comes with Udemy’s 30-day unconditional money-back guarantee.
Description: This comprehensive course is comparable to other data science bootcamps that usually cost thousands of dollars, but now you can learn all that information at a fraction of the cost! With over 100 HD video lectures and detailed code notebooks for every lecture, this is one of the most full-featured modules for data science and machine learning on Udemy. Instructors will teach you how to program with R, how to create amazing data visualizations, and how to use machine learning with R!
Description: Learn data science and machine learning from scratch, get hired, and have fun along the way with the most modern, up-to-date data science course on Udemy.  This course is focused on efficiency: never spend time on confusing, out of date, incomplete Machine Learning tutorials anymore. You will get access to all the code, workbooks, and templates (Jupyter Notebooks) on Github, so that you can put them on your portfolio right away. If you already know how to program, you can dive right in and skip the section where instructors teach you Python from scratch. If you are completely new, instructors take you from the very beginning and actually teach you Python and how to use it in the real world for various projects.
Description: This course will turn you into a SQL query wizard. You’ll learn the skills you need to extract critical insight from data sitting in a database. There are over 100 puzzles scattered throughout the course with in-depth solutions providing plenty of opportunity for you to practice. You do not need any prerequisites to take this course. The instructor moves step by step into more advanced topics as they delve into the world of advanced querying techniques using subqueries, aggregations, joins, rollups and cubes, window functions, transposing and ranking data, and using conditional expressions in very interesting ways.
Description: This practical course will go over the theory and implementation of statistics to real-world problems. Each section has example problems, in course quizzes, and assessment tests. Instructors start by talking about the basics of data, understanding how to examine it with measurements of central tendency, dispersion, and also building an understanding of how bivariate data sources can relate to each other. The sections are modular and organized by topic, so you can reference what you need and jump right in! The module also includes HD Video with clear explanations and high-quality animations.
Description: Welcome to the Complete Data Science and Machine Learning Bootcamp, the only course you need to learn Python and get into data science. At over 40+ hours, this Python course is without a doubt the most comprehensive data science and machine learning course available online. Even if you have zero programming experience, this course will take you from beginner to mastery. Instructors take you step-by-step through video tutorials and teach you everything you need to know to succeed as a data scientist and machine learning professional. The course includes over 35 hours of HD video tutorials and builds your programming knowledge while solving real-world problems.
Description: This course is designed to be the ultimate resource for getting a career as a data scientist. It starts off with a general overview of the field and discusses multiple career paths, including Product Analyst, Data Engineering, Data Scientist, and many more. You’ll understand the various opportunities available and the best way to pursue each of them. The course touches upon a wide variety of topics, including questions on probability, statistics, machine learning, product metrics, example data sets, A/B testing, market analysis, and much more!
Description: This data science and machine learning course has 11 projects, 250+ lectures, more than 25 hours of content, one Kaggle competition project with top 1 percentile score, code templates, and various quizzes. As the data science and machine learning practitioner, you will have to research and look beyond normal problems, you may need to do extensive data processing, experiment with the data using advanced tools, and build solutions for business.

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