Introduction to Data Analytics

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BeginnerCourse

Start a career in Data Analysis with this introductory course, learning about the roles of a Data Analyst, tools used, and navigating the data ecosystem. No prior experience required.

4.8 (17k+ Reviews)

Language

English

Topic

Data Analysis

Enrollment Count

101.34K

Skills You Will Learn

Data Management, Data Analysis, Data Science, Big Data, Databases

Offered By

IBMSkillsNetwork

Estimated Effort

10 hours

Platform

Coursera

Last Update

March 14, 2025

About this Course

Ready to start a career in Data Analysis but don’t know where to begin? This course presents you with a gentle introduction to Data Analysis, the role of a Data Analyst, and the tools used in this job. You will learn about the skills and responsibilities of a data analyst and hear from several data experts sharing their tips & advice to start a career. This course will help you to differentiate between the roles of Data Analysts, Data Scientists, and Data Engineers. You will familiarize yourself with the data ecosystem, alongside Databases, Data Warehouses, Data Marts, Data Lakes and Data Pipelines. Continue this exciting journey and discover Big Data platforms such as Hadoop, Hive, and Spark.

By the end of this course you’ll be able to understand the fundamentals of the data analysis process including gathering, cleaning, analyzing and sharing data and communicating your insights with the use of visualizations and dashboard tools.

This all comes together in the final project where it will test your knowledge of the course material, and provide a real-world scenario of data analysis tasks.

This course does not require any prior data analysis, spreadsheet, or computer science experience.

Instructors

Rav Ahuja

Global Program Director, IBM Skills Network

Rav Ahuja is a Global Program Director at IBM. He leads growth strategy, curriculum creation, and partner programs for the IBM Skills Network. Rav co-founded Cognitive Class, an IBM led initiative to democratize skills for in demand technologies. He is based out of the IBM Canada Lab in Toronto and specializes in instructional solutions for AI, Data, Software Engineering and Cloud. Rav presents at events worldwide and has authored numerous papers, articles, books and courses on subjects in managing and analyzing data. Rav holds B. Eng. from McGill University and MBA from University of Western Ontario.