The 7 Best University Data Science Bootcamps for 2023
The editors at Solutions Review have compiled this list of the best University data science bootcamps online from leading institutions.
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 university data science bootcamps to consider if you’re looking to grow your predictive analytics skills for work or play. This is not an exhaustive list, but one that features the best university data science bootcamps from trusted online platforms. We made sure to mention and link to related courses on each platform that may be worth exploring as well.
The Best University Data Science Bootcamps
TITLE: Foundations of Data Science
OUR TAKE: This certification, offered by edX and Berkeley University, can be completed in 4 months and features self-paced learning and expert instruction via three different skill-building courses.
Platform: edX
Description: As the demand for data science skills rises around the world, this Professional Certificate by BerkeleyX will teach you how to combine data with Python programming skills to ask questions and explore problems that you may encounter in a future job, in any field of study, and even in everyday life. This course will give you a new lens to explore the issues and problems that you care about.
GO TO TRAININGTITLE: Big Data MasterTrack Certificate
OUR TAKE: This Arizona State University MasterTrack training module provides certification on data mining techniques, data analytics, data visualization, and statistical machine learning.
Platform: Coursera
Description: You’ll learn to apply mathematical theory and decision-making techniques that are vital to big data analysis, classification, clustering, and association rule mining through real-world projects designed by faculty from Arizona State University. By committing to online study for 6-9 months, you can earn the Big Data MasterTrack Certificate that will be a pathway to the online Master of Computer Science degree at Arizona State University.
GO TO TRAININGTITLE: Machine Learning for Analytics MasterTrack Certificate
OUR TAKE: This University of Chicago certification module will show you how to master AI algorithms, data mining techniques, and predictive analytics in as little as five months.
Platform: Coursera
Description: Data analytics and data science positions are growing exponentially across a variety of industries. With this online certificate program, you’ll study at the graduate level to gain the knowledge you need to advance in your career. You’ll learn to apply mathematical theory and decision-making techniques that are vital to solving business problems through real-world projects designed by instructors.
GO TO TRAININGTITLE: Data Science for Executives
OUR TAKE: In partnership with Columbia University, this edX module certifies students in 4 months (7-10 hours per week) through expert instruction and self-paced learning.
Platform: edX
Description: In this Data Science and Analytics Professional Certificate program you will gain insight into the latest data science tools and their application in finance, health care, product development, sales and more. With real-world examples, we will demonstrate how data science can improve corporate decision-making and performance, personalize medicine and advance your career goals.
GO TO TRAININGTITLE: Data Science Certification
OUR TAKE: This Experfy data science certification touts five self-paced courses and instruction from academics at Harvard and Columbia University, as well as industry practitioners from Cisco, Nokia Labs, and Pitney Bowes.
Platform: Experfy
Description: This Data Science Certification program covers the concepts and tools you will need throughout the entire data science pipeline, from asking the right kinds of questions to making inferences and publishing results. As you work your way through different courses in the data science training track, you will develop a portfolio of projects that you can showcase during interviews.
GO TO TRAININGTITLE: Data Processing and Analysis
OUR TAKE: This edX and ITMO University module will certify you in how to preprocess large datasets, store data via SQL, and more. It will take roughly 4 months to complete and features three individual, self-paced courses.
Platform: edX
Description: The demand for skilled data analysts both in science and industry is constantly growing. Data processing and analysis Professional Certificate Program gives you the necessary knowledge base and useful skills to face data analysis challenges in your professional field.
GO TO TRAININGTITLE: Data Analysis for Genomics
OUR TAKE: edX and Harvard University team to offer this self-paced, expert instruction on data analysis for genomics. The certification features three skill-building courses and takes roughly three months to complete.
Platform: edX
Description: Using open-source software, including R and Bioconductor, you will acquire skills to analyze and interpret genomic data. These courses are perfect for those who seek advanced training in high-throughput technology data. Problem sets will require coding in the R language to ensure mastery of key concepts.
GO TO TRAINING