Learner Reviews & Feedback for Introduction to Data Analytics by IBM

4.8

stars

16,917 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

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.

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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1226 - 1250 of 3,526 Reviews for Introduction to Data Analytics

By Khalid K

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Jan 16, 2024

Very Interesting Knowledgeable and Fruitful Course Appreciated

By 2022-24 H D

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Sep 12, 2023

Very convenient and knowledgeable course with various insights

By Sonia v

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May 6, 2023

l am happy to be

the part

of the Coursera family

Thank you 😊

By Mohammed M

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Feb 17, 2023

a very clear, smart and interesting intro to the field of data

By ShirleyDee B

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Sep 29, 2022

I loved this Introdiction and I'm excited to see what's next!

By Eric N K

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Aug 28, 2022

Great course. I learnt more than I thought I would. Excellent!

By Simuzar G

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Jul 15, 2022

Great course, helps to see a bigger picture of data analytics.

By Jay B

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Jul 5, 2022

Absolutely excellent course for starting with data analytics.

By Alp O

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Jun 20, 2022

My surname is written wrong in the certificate. Please fix it.

By Akanksha S

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Jun 13, 2022

Amazing introduction and explanation about the data analytics.

By Ketan R

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May 30, 2022

We good and details course. Easy language and simple examples.

By Cristian B

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May 23, 2022

It's great for people who are completely new to data analytics

By Aida M M C

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Mar 10, 2022

A very complete overview of the rol of data analytics in 2022.

By Jefferson c

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Feb 22, 2022

Very good and i keep my calification.. Thanks for you course..

By Chioma E

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Sep 20, 2021

This is a very good introduction. it is detailed and engaging.

By Sara A

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Jun 28, 2021

The course was simple, very beneficial, and covered the basics

By Wenjie Z

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Jun 22, 2021

Good Course, but capstone should be more programming intensive

By Anshumaan S

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Mar 29, 2021

Really great place to start learning all about Data Analytics!

By seforaker

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Dec 20, 2020

I really enjoyed taking this course and a excited to continue!

By Aaryan N

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Jul 17, 2024

Exceptional Experience for me. Amazing teachings and insights

By Romel P

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Oct 10, 2023

Thanks to the coursera where I learned a lot in this website!

By Ezeaka C E

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Jun 29, 2023

It's standard and very quick. Thanks for the prompt response.

By Rick S

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Apr 8, 2023

Excellent introduction to data analysis. Enjoyed the course.

By Claudia Z

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Nov 3, 2022

The excellent structure of the course makes it easy to learn.

By Dora Ö

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Nov 1, 2022

It was a very informative course on basics of Data Analytics.