24 Online Certificate Programs in Data Science 2024

This program is of interest to anyone who wants to use the powerful capabilities of relational databases in conjunction with the new "Big Data" management frameworks for data storage and retrieval, and for data analysis in support of management decision-making. Data architects, data analysts, database administrators, and information technology staff members can all benefit from this program.

Build strategic capabilities required in various data roles through in-demand data skills. Areas of emphasis: fundamentals of programming, data wrangling, machine learning models.

Make complex statistics come to life for diverse audiences, with courses in information design, data analytics and filtering, visualization best practices, and programming basics.

Computing and data analysis play an important role in almost all private and public sector employment. The need to understand how to use IT and data to inform business decisions has never been more important. This qualification introduces you to some basic skills in exploring and analysing data sets and solving practical problems using mathematics, statistics and computing. It forms a foundation for further study or employment in the fields of mathematics, statistics, computing or data science.

Study data analytics with a world-leading social science university.

The 100% online Healthcare Analytics graduate certificate from Saint Mary's University of Minnesota prepares you to apply business intelligence principles in healthcare contexts, using artificial intelligence techniques to improve patient outcomes and streamline business functions. It is delivered in a flexible format and can be completed in as few as five months. Graduates are prepared for roles like data analyst, healthcare supply chain analyst, and more.

Data governance is about the convergence of data quality, data management, data policies, business process management, and risk management around the handling of data within an organization.

Gain specialized knowledge in artificial intelligence and data science with Lebanese American University. Our part-time, asynchronous Artificial Intelligence and Data Science Certificate can be completed in just six months. The nine credits earned through the certificate program can be applied towards the University’s online MS in Computer Science program. You'll explore master's-level curriculum taught by experienced and diverse faculty and network with students in the master's program.

As data grows even more integral to business, it’s easy to see why data engineering was ranked as the fastest-growing tech occupation in 2020. The need for data engineers who can build out the infrastructure necessary to put data to work is intensifying, and the MIT xPRO Professional Certificate in Data Engineering can help you meet this demand with job-ready data engineering skills that offer a competitive edge in the marketplace.

Master key concepts using the R programming language.

Become a data-driven leader with a one-of-its-kind Executive Program in Data Science and Machine Learning. Taught by top Academicians & industry experts, this 360-degree program will put you at the forefront of the Data Science & Machine Learning revolution. No prior coding experience is required.

The Data Science Certificate consists of 4-courses providing a concentrated perspective into the complex field of data science and business analytics. It is designed to provide students with skills to develop data science programming, analytics, and decision-making techniques, as well as, predictive analytics and data visualization.

The students will learn the mechanics for collecting data, analyzing data and some core modelling approaches in forecasting, mix modelling and cross-channel attribution; How to use the purchase funnel as a framework for optimizing your marketing campaigns across paid, owned, and earned channels and much more.

The CIW JavaScript Specialist certification will expertise you in JavaScript code development, including writing scripts for the JavaScript object model.

Data is everywhere—from e-commerce sales, app downloads to a smartphone, to supply chain management or bioinformatics or connected devices. And that massive increase in the amount and variety of data being collected is translating to an exponential growth in the computer power needed to process that data.