What Are The Programming Goals and Learning Objectives Of Data Science

Develop a depth understanding of the key technologies in data science and business analytics data mining, machine learning, visualization ways, prophetic modeling, and statistics.

Practice problem analysis and decision-making.

Gain practical, hands-on experience with statistics programming languages and big data tools through coursework and applied research experiences.

Learning Objectives

Students who have completed the MS in Data Science and Business Analytics Program will be able to

Apply quantitative modeling and data analysis ways to the result of real-world business problems, communicate findings, and effectively present results using data visualization ways.

Fete and dissect ethical issues in business related to intellectual property, data security, integrity, and sequestration.

Apply ethical practices in everyday business activities and make well-reasoned ethical business and data management decisions.

Demonstrate knowledge of statistical data analysis ways utilized in business decision-making.

Apply principles of Data Science to the analysis of business problems.

Use data mining software to break real-world problems.

Employ cutting-edge tools and technologies to dissect Big Data.

Apply algorithms to make machine intelligence.

Demonstrate use of teamwork, leadership skills, decision-making, and organization theory.

Some of the top big data and data analytics certifications include:

Certified Analytics Professional (CAP)
Cloudera Data Platform Generalist Certification
Data Science Council of America (DASCA) Senior Data Scientist (SDS)
Data Science Council of America (DASCA) Principal Data Scientist (PDS)
IBM Data Science Professional Certificate
Microsoft Certified: Azure Data Scientist Associate
Open Certified Data Scientist (Open CDS)
SAS Certified Data Scientist