Back to Introduction to Data Analytics
Learner Reviews & Feedback for Introduction to Data Analytics by IBM
17,228 ratings
About the 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.
Top reviews
MS
May 3, 2023
A very structured course to give basic and useful insight to the world of data analysis. From zero, one absorbs the possible levels of details and requirements to get into the world of data analysis.
BS
Oct 21, 2020
A great Introductory course by IBM and Coursera to start your career in Data analytics. Learned a lot from this course like what are the skills that are needed in order to become a good data analyst.
Filter by:
3576 - 3580 of 3,580 Reviews for Introduction to Data Analytics
By SASWATA M
•May 28, 2023
worst course
By Sara A
•Dec 18, 2024
Long time
By CHINEMERENWA M O
•Jan 24, 2024
annoying
By Φάμπιαν « Χ
•Feb 13, 2023
basic af
By KHUSHBOO K
•Nov 8, 2024
gud