Best Online Data Analytics Colleges

Data Analytics is the process of analyzing data sets in order to interpret the data and form conclusion on the basis of the data. Data Analytics is a subject that deals with the process of inspecting, cleansing, transforming, and modeling data with the goal of discovering useful information, forming conclusions, and helping the decision-making process.

An Accredited College/University creates a pathway for the students to enroll in data analytics programs offered by the Colleges/University which are funded by the federal government or the state government.

The Organizations that accredited a college for Data Analytics programs are listed below:

• Data Science Council of America (DSCA)
• Accreditation Council for Business Schools and Programs (ACBSP)

The Data Analytics course includes topics such as fundamentals of statistics, data collecting skills, data analytics software, financial statements, mathematics, probability and data projection. The course also includes a data analysis course. Accounting all these courses together makes a student understand all the aspects of data analytics.

An Associate’s degree requires 30-60 credits and takes 2 years to be completed. It provides the basic knowledge about data science and analytics.

A Bachelor’s degree requires 120-130 credits and takes 4 years to be completed. This provides the student's skills and knowledge required to enter the field of a data analyst.

A Master’s degree requires 30-40 credits and takes 2 years to be completed. This course is designed to provide students with knowledge about scientific techniques, methods, and systems to extract knowledge from data in various forms.

A Doctorate’s degree requires 60-75 credits and takes 4-5 years to be completed. It provides a deep knowledge of statistics and other aspects of data analysis.

The minimum GPA required is 3.0-3.7 to apply for admission in data analytics program.

The data analytics program combines mathematics, statistics and the data analytics software to provide a better understanding to the students about extracting the data and interpreting the data and forming conclusions.