21 Top Rated Machine Learning and Data Science Courses
Some of these courses are free. But if you decide to purchase anything through the links below, the editor of Personal Growth (Dan — that’s me writing this) will receive a percentage of the sale as a finders fee. Thank you for your support. None of these courses or websites are recommendations. All I know is the courses below seem to have high ratings. The descriptions below are copied and pasted from the host websites.
Machine Learning
In this class, you’ll learn about the most effective machine learning techniques, and gain practice implementing them. You’ll learn about not only the theoretical underpinnings of learning, but also gain the practical know-how needed to apply these techniques to new problems.
Machine Learning A-Z™: Hands-On Python & R In Data Science
Learn to create Machine Learning Algorithms in Python and R. This course is packed with practical exercises which are based on live examples. You’ll learn the theory and you’ll get some hands-on practice building your own models. Includes Python and R code templates to use on your own projects.
Deep Learning Specialization
Learn the foundations of Deep Learning, understand how to build neural networks, and learn how to lead successful machine learning projects. Learn about Convolutional networks, RNNs, LSTM, Adam, Dropout, BatchNorm, Xavier/He initialization, and more. You will master not only the theory, but also see how it is applied in industry.
AI For Everyone
In this course, you will learn the meaning behind common AI terminology. What AI realistically can and cannot do. How to spot opportunities to apply AI to problems in your own organization. How to navigate ethical and societal discussions surrounding AI, and more.
Python for Data Science and Machine Learning Bootcamp
Learn how to use NumPy, Pandas, Seaborn , Matplotlib , Plotly , Scikit-Learn , Machine Learning, Tensorflow , and more. This comprehensive course will be your guide to learning how to use the power of Python to analyze data, create beautiful visualizations, and use powerful machine learning algorithms.
IBM Data Science Professional Certificate
Upon successfully completing these courses you will have built a portfolio of data science projects to provide you with the confidence to plunge into an exciting profession in Data Science. You’ll earn a Professional Certificate from Coursera and receive a digital Badge from IBM recognizing your proficiency in Data Science.
Data Science Specialization
This Specialization covers the concepts and tools you’ll need throughout the entire data science pipeline, from asking the right kinds of questions to making inferences and publishing results. You’ll apply the skills learned by building a data product using real-world data.
The Complete SQL Bootcamp
In this course, you’ll learn how to read and write complex queries to a database using one of the most in demand skills — PostgreSQL. These skills are also applicable to any other major SQL database, such as MySQL, Microsoft SQL Server, Amazon Redshift, Oracle, and much more.
Tableau 10 A-Z: Hands-On Tableau Training For Data Science
This course begins with Tableau basics. You will navigate the software, connect it to a data file, and export a worksheet, so even beginners will feel completely at ease. You’ll learn all of the features in Tableau that allow you to explore, experiment with, fix, prepare, and present data easily, quickly, and beautifully.
Applied Data Science with Python Specialization
This skills-based specialization is intended for learners who have a basic python or programming background, and want to apply statistical, machine learning, information visualization, text analysis, and social network analysis techniques through popular python toolkits such as pandas, matplotlib, scikit-learn, nltk, and networkx to gain insight into their data.
Data Science A-Z™: Real-Life Data Science Exercises Included
Learn Data Science step by step through real Analytics examples. Data Mining, Modeling, Tableau Visualization and more. This course will give you a full overview of the Data Science journey. You’ll develop a good understanding of SQL, SSIS, Tableau, and Gretl.
Deep Learning A-Z™: Hands-On Artificial Neural Networks
Learn to create Deep Learning Algorithms in Python from two Machine Learning & Data Science experts. This training program is filled with intuition tutorials, practical exercises and real-world case studies.
Getting Started with AWS Machine Learning
Key topics include: Machine Learning on AWS, Computer Vision on AWS, and Natural Language Processing (NLP) on AWS. Each topic consists of several modules deep-diving into variety of ML concepts, AWS services as well as insights from experts to put the concepts into practice.
Data Structures and Algorithms Specialization
This specialization is a mix of theory and practice: you will learn algorithmic techniques for solving various computational problems and will implement about 100 algorithmic coding problems in a programming language of your choice.
Machine Learning Specialization
From leading researchers at the University of Washington. Through a series of practical case studies, learn to analyze large and complex datasets, create systems that adapt and improve over time, and build intelligent applications that can make predictions from data.
R Programming A-Z™: R For Data Science With Real Exercises
Learn Programming In R And R Studio. Data Analytics, Data Science, Statistical Analysis, Packages, Functions, GGPlot2. This training is packed with real-life analytical challenges which you will learn to solve. This course has been designed for all skill levels, no programming or statistical background needed.
Machine Learning with TensorFlow on Google Cloud Platform Specialization
Learn how to write distributed machine learning models that scale in Tensorflow, scale out the training of those models and offer high-performance predictions. Convert raw data to features in a way that allows ML to learn important characteristics from the data and bring human insight to bear on the problem. And more.
Mathematics for Machine Learning
For a lot of higher level courses in Machine Learning and Data Science, you need to freshen up on the basics in maths — stuff you may have studied in school or university, but which was taught in another context, or not very intuitively, such that you struggle to relate it to how it’s used in Computer Science. This specialization aims to bridge that gap.
Statistics with R Specialization
Learn to analyze and visualize data in R and create reproducible data analysis reports, demonstrate a conceptual understanding of the unified nature of statistical inference, perform frequentist and Bayesian statistical inference and modeling to understand natural phenomena and make data-based decisions.
The Complete Oracle SQL Certification Course
Data has become the hottest topic in technology and a company’s biggest asset is their data. Oracle is the most popular relational database in the world. This course will prepare you to be job-ready in just 1 month of study and practice. You don’t need any prior experience in programming.
SQL for Newbs: Data Analysis for Beginners
If you have no technical background, don’t be afraid. This courses teaches you real-world SQL — not just the theory in abstract, but real skills you can use to get more data-driven in your current job. You’ll have the raw skills to do some real data analysis for your company using SQL.
