Learner Reviews & Feedback for Introduction to Data Analytics by IBM

4.8

stars

19,807 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

Jul 20, 2023

All content was related and helpful, the only issue I see is the final assessment, peer graded. It looks like some students who want to get feedback on others', do not read the answers at all !

Sep 17, 2024

Thank you for creating this course. As a beginner trying to become mor analytically sound using data analytics, it was a great start to see the extent of tools that we can in subsequent courses.

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1351 - 1375 of 4,041 Reviews for Introduction to Data Analytics

By Adava A

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Oct 11, 2021

it was a really nice experience, I learnt a lot from the course

By Ifiokobong A

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Jul 5, 2021

I enjoyed every bit of this course. The course was well taught.

By Long T Q

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Jun 13, 2021

Adaptable for newbies and experienced ones in Data Related Jobs

By Mairaj F

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May 6, 2025

this course help me to understand the basics of data anlytics.

By Kimberly B

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Nov 16, 2024

The modules are clearly explained and give important insights.

By Javed A

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Oct 23, 2024

In this course, I learn and upskills much as time to learning.

By bsf2103924 A A

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Oct 15, 2024

it is very good course very easy to understand I am very happy

By Laura C L U

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Feb 27, 2024

Es un curso muy completo, aborda gran cantidad de información.

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

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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