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Learner Reviews & Feedback for Introduction to Data Analytics by IBM

4.8
stars
16,653 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

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.

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.

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3051 - 3075 of 3,467 Reviews for Introduction to Data Analytics

By Adeyemi S

Oct 10, 2022

I gained so much from the course. My time learning is not wasted

By Samar F

Apr 5, 2024

It's a great course but it's too much information for a beginner

By Miguel O

Jun 10, 2023

It's a really good introduction to the world of data analysis :)

By ALEJANDRO B A

Nov 20, 2022

Excelente curso que ayuda a comprender más la análisis de datos.

By Stephany G

Jul 2, 2024

Muy buena informacion, aunque algunas veces era muy repetitiva.

By sneha

Dec 13, 2023

learn more skill likr data preprocessing and data visualization

By Johnnie B

Jul 3, 2023

Extremely helpful for a big handful overview of data analytics.

By Soren S

Aug 25, 2022

Good and thorough introduction to the field of data analytics.

By Shatakshi V

Jun 6, 2022

Well Structured course. Concept of the Peer Assignment is nice.

By Vivek J H

Mar 8, 2022

Good short and very useful to gain base ideas on data analytics

By Meysam M

Dec 3, 2021

It's a very good course for being familiar with data analytics.

By ROYMON K

Dec 11, 2020

very well informative.useful for the data analyst professional.

By Sayeed A

Jun 5, 2024

A good and comprehensive course to start Data Analyst Journey.

By Athul B

Dec 6, 2023

my fullname is visible in certificate. i request a name change

By ayush p

Jul 30, 2022

It was really helpful for enhancing my knowledge in the field.

By Adarsh p

Mar 4, 2022

best learning course its useful for bigginers. thank you IBM .

By Mohd S

May 16, 2021

This course provide me valuable knowledge about Data Analytics

By Mateusz S

Mar 13, 2021

okey but in my opinion to much theory and nothinkg to practise

By SANJAY A

Oct 18, 2024

Great way to get into the era of data analytics, with course.

By Ahmed S

Apr 24, 2024

It's good certificate but Option' Verify my identity so hard

By Aayush M

Feb 21, 2024

Good for beginners. Learnt options available for data roles.

By adnan u a

Feb 17, 2023

It was an eye opener and i learnt alot about Data Analytics.

By tinashe

Nov 27, 2021

Informative great to get an introductory into Data Analytics

By paul 2

Jun 16, 2022

Got lots of knowledge for further career as a Data Analyst.

By VEERUPAKSHAPPA

Feb 5, 2022

over all good course keep educating us...Thank you IBM team