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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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1176 - 1200 of 3,469 Reviews for Introduction to Data Analytics

By Carliayn K

Jan 27, 2024

Really helpful for understanding the basics and getting started.

By R. A C d S

Dec 4, 2023

Muy completo, orientado a la disciplina de la analítica de datos

By Nijad N

May 14, 2023

A great and beautifully explained introduction to data analysis.

By Sara R H

Dec 9, 2022

Great information- done in a simple yet impactful way. Thank you

By apoorva l

Nov 7, 2022

great course by IBM!. recommend it to my friends and colleagues.

By Riddhi B

Jun 7, 2022

The course was good in helping me understand the basics of data.

By Yacin A M

May 11, 2022

i am greatful of having the chance to learn this course with you

By eyup a

Feb 27, 2022

ıt was so amazing course. ı will keep going this another course.

By Dinesh G

Dec 29, 2021

this course is very good and help me in increase in my knowledge

By Ahmed B

Sep 20, 2021

A wonderful one to start with, audio quality should be improved.

By PEDADA P 1

Jul 15, 2021

This course helped to ununderstand the Concept of data analytics

By Aatish C

Apr 1, 2021

I am really very thankful to coursera for providing this course.

By Amy K

Feb 2, 2021

A good course that introduced the fundamentals of data analytics

By Elisa M

Jan 25, 2021

Excellent overview of Data Analytics career and day-to-day work.

By Behice S

Oct 12, 2020

It was a very detailed and easy-to-follow course. I loved it! :)

By Ahmed S A

Sep 24, 2024

Very good course for those who want to take a look in the field

By Sergio R R M

Nov 4, 2023

Vale la pena dedicarle todo este tiempo a toda esta informacion

By Luis G

Sep 4, 2023

A really nice way to introduce you in the Data Analysis carreer

By Priyadharshini S

Jul 28, 2023

Highly recommended course who just begin Data Analytics journey

By Natalia L

Oct 24, 2022

Thank you so much for the course, it was very helpful for me.

By Ekwubiri S

Sep 10, 2022

This is course is easy to understand and I really learnt a lot

By Bassey W

Aug 23, 2022

One of the most educating learning resources for Data Analytics

By Carmen G

Jun 25, 2022

Exceptional dynamic course, with clear and concise information!

By Noubury O

May 4, 2022

Very enganging and informative introduction into data analytics

By Vicente M

May 2, 2022

Amazing. I wasn't expecting too much, but I ended up surprised.