Discover the data science course that will catapult the next evolution in your career. Pick the right course by distinguishing differences in price, syllabi, and delivery options with our straightforward comparisons.
Maybe you want to figure out how to apply the things you learned in your computer science courses in college to marketing and business problems. Or, you’re looking to put your penchant for statistics and analytics to good use in the digital world. Today, your data science learning options are endless. From textbooks to online courses, it’s difficult to decide which choice is appropriate for your needs.
We designed this site to be a resource for people just like you—those in need of an uncomplicated way to compare and contrast data science courses in one place. You’ll be able to gather in-depth info about the instructors and course content of the top data science classes available online. Plus, you can quickly see which certifications are available and choose a course that will prepare you for your next career move.
Bypass confusing course syllabi and your endless list of options with our shortlist of the best online courses for starting or advancing your data scientist career.
Data science helps individuals and organisations gain knowledge and insights from various forms of data. Today, its applications are seen in diverse disciplines, including marketing, finance, logistics, healthcare, human resources, communications, and more.
Forbes named Python a top 10 technical skill in terms of job demand growth. There are several reasons for this, including its simplicity compared to other programming languages, powerful libraries for data analysis and machine learning, as well as its loyal following in the field of data science.
Johns Hopkins University’s Data Science Specialization aims to teach students the concepts and tools required to become a data scientist, including asking the right questions, making inferences, and publishing results.
Course Provider: Kirill Eremenko, Hadelin de Ponteves
Explore the challenging and lucrative field of Machine Learning with Machine Learning A-Z™: Hands-On Python & R In Data Science. In this course, you will learn complex theory, algorithms, and coding libraries in a simple and easy-to-understand way through tutorials and hands-on practice.
Along with the steady growth in the amount of data being gathered by organisations annually is an equally increasing need for skilled data scientists. In the United States alone, there is a shortage of about 190,000.
20 courses for a total of approximately 67 hours to get you from beginner Python user to expert data scientist. This set of classes adds to DataCamp's Data Analyst track, and is designed to go further to Deep Learning and Machine Learning.
13 classes for one of the hottest career tracks available, beginning with an introduction to Python and covering all aspects of importing, cleaning and manipulating data in Python to extract relevant information from large datasets.
In this excellent nanodegree program, you’ll master the skills you need to establish a successful data science career. You'll learn to analyse data and communicate insights using powerful tools like Python, R, SQL, and Tableau.
This course will teach you to analyse data using machine learning techniques, and prepare you for the Data Analyst Nanodegree. You'll learn how to use tools such as pre-written algorithms and libraries to answer interesting questions.
A course offered by IBM's Cognitive Class, explaining Data Science from the basics to hands-on data analysis with the best open-source tools available, on to the methodology and language that are most useful for aspiring data scientists.