This self-paced IT Specialist Data Analytics course provides a gentle introduction to the responsible collection and reporting of data, the concepts of data manipulation, data analytics, prediction from data, and data visualization. It aims to provide learners with an understanding of the fundamentals of data and to equip them with the skills necessary to manipulate, analyze, and visualize data using various information and communications technology tools. This course consists of lessons accompanied by videos to help learners achieve their learning goals. Upon completing this course, learners should be able to explain basic statistical terminology and data analytics concepts, manipulate simple data sets, make simple predictions from data, and explain insights from data using meaningful and appealing visualization.

Overall, this course covers the entire data analysis process, from understanding the basic principles to reporting the results of data analysis. The knowledge and skills garnered by learners during the course will be assessed through case studies, lab assignments, and quizzes.

Audience:  This course is designed to equip learners — interns, apprentices, and entry-level data analysts with the foundational knowledge and skills necessary to perform entry-level data manipulation, analysis, visualization, and communication. With the Data Analytics certificate, you could be considered for positions such as entry-level data analysts or researchers, data analytics apprentices or interns, operations research interns, market researchers, and business analysts. 

Course components:

180-day access to:

• Lessons
• Video learning
• MeasureUp Practice Test for IT Specialist INF-202. Practice Mode with remediation and Certification mode to simulate the test day experience.

Duration:   18 hours of primary content. Each learner will learn at their own pace. 

Required course materials:  Self-paced Pearson CertPREP IT Specialist Data Analytics (INF-202) courseware with 180-day access.

Course objectives: 

Upon successful completion of this course, students should be able to:   

• Explain the basics of data.
• Manipulate data.
• Analyze data.
• Create and use visualization from data to explain insights.
• Explain data privacy laws and best practices for responsible data handling.