Data Science & Analytics courses

One of the reasons the R language has become a popular for analytics is because of its powerful functionality in its plotting systems. One can easily generate a high-quality and publication-ready figure in R without having to put too much effort in adjusting…

Understand Data, Think Statistically, and Turn Information into Insight This course provides a comprehensive introduction to the fundamental concepts and techniques of statistics used across science, business, and technology. Statistics offers a structured…

As the amount of data companies collect continues to grow at a rapid rate, the ability to effectively transform that data into actionable information has become paramount for business growth and success. Business intelligence (BI) and data analytics enables…

How the business world uses Excel is forever changing. Trying to keep up with it all can be intimidating, complex, and confusing, given Excel’s ever-expanding library of functions and features. The Intermediate Excel course will provide students with…

Build Essential Skills in Data Analytics, Machine Learning, and Python Data science combines statistics, programming, and machine learning to extract knowledge from data and support decision-making across industries. In this course, you will gain a solid…

Learn how to analyze data using SPSS Unravel the mysteries within data with SPSS software! SPSS is one of the most popular software packages used for statistical analysis and understanding data. Big data, prediction, and data mining all use SPSS. Academic…

According to the Bureau of Labor Statistics most recent figures, overall employment of mathematicians and statisticians is projected to grow 30 percent from 2018 to 2028 - much faster than the average for all occupations. Businesses will need these workers to…

With the growing amount of data available to businesses, decision-makers must translate strategy into accountability, measure progress against goals, and leverage data for business decision making. Dashboards are used to present and analyzing enterprise…

The way the business world uses Excel is constantly evolving. Keeping up with these changes can be intimidating, complex, and confusing, given Excel’s ever-expanding library of functions and features. The Advanced Excel for Analysis and Business Intelligence…

Learn how to make better business decisions, use fewer resources, and improve your company's bottom line by developing and using a data warehouse. This course provides an overview of business intelligence and data warehousing and gives you a look at all the…

The goal of this course is to demystify data science and to familiarize students with key data scientist skills, techniques, and concepts. Starting with foundational concepts like analytics taxonomy, the Cross-Industry Standard Process for Data Mining, and…

Advancements in technology have made data easily available for use. This introductory analytics course starts with an overview of data analytics to introduce the different types of data and fundamental concepts behind collecting, storing, and analyzing data.…

Audiences are spending more of their time online and in response, marketers are spending more of their resources there. With a seemingly limitless sea of options as to where to be present online, how do we decide where to start? And once we do, how do we know…

Learn How to Design and Execute a Research Project and Present Your Findings Effectively Using GIS In this hands-on GIS capstone course, you will complete an individual guided research project and report, applying the knowledge and skills you learned in the…

The ability to analyze and manipulate spatial data is critical across many industries, including urban planning, healthcare, agriculture, mining, trade, environmental science, and military intelligence. The demand for skilled GIS analysts is projected to grow…

Data Analytics Using Python In this course, you will learn the rich set of tools, libraries, and packages that comprise the highly popular and practical Python data analysis ecosystem. This course is primarily taught via screen sharing programming videos.…

Statistics can be used to draw conclusions about data and provides a foundation for more sophisticated data analysis techniques. Viewing questions about data from a statistical perspective allows data scientists to create more predictable algorithms to…

This course will help students navigate through the complex layers of Big Data while providing insight on ways to effectively use technologies and architectures to create and manage big data workflows. Concepts covered include an introduction to Big Data and…

Expand your SQL toolkit in this Intermediate SQL course. SQL is a language used in programming and designed for managing data held in a relational database management system (RDBMS). This intermediate course will focus on using MS SQL Server and T-SQL. Topics…

Practical Math and Statistics are the foundation of the fields of Data Science and Predictive Analytics. Statistics are used in every part of business, science, and institutional data processing. This course covers fundamental statistical skills needed for…

Python for Data Analysis is a course for students with some experience using Python who want to learn how to import and analyze data using the popular programming language. Students can immediately use what they have learned to ingest data, produce plots and…

MIT xPRO's Professional Certificate in Advanced Analytics with AI, ML, and Data Science equips professionals with cutting-edge skills to harness the power of data in today's digital economy. This comprehensive Data Science & Analytics program covers essential…

The MIT xPRO Professional Certificate in Data Engineering offers an intensive 6-month program tailored to equip participants with job-ready, in-demand skills in Data Science & Analytics. This course delves into essential data engineering concepts, including…