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Learner Reviews & Feedback for Data Analyst Career Guide and Interview Preparation by IBM

4.7
stars
470 ratings

About the Course

Data analytics professionals are in high demand around the world, and the trend shows no sign of slowing. There are lots of great jobs available, but lots of great candidates too. How can you get the edge in such a competitive field? This course will prepare you to enter the job market as a great candidate for a data analyst position. It provides practical techniques for creating essential job-seeking materials such as a resume and a portfolio, as well as auxiliary tools like a cover letter and an elevator pitch. You will learn how to find and assess prospective job positions, apply to them, and lay the groundwork for interviewing. The course doesn’t stop there, however. You will also get inside tips and steps you can use to perform professionally and effectively at interviews. You will learn how to approach a take-home challenges and get to practice completing them. Additionally, it provides information about the regular functions and tasks of data analysts, as well as the opportunities of the profession and some options for career development. You will get guidance from a number of experts in the data industry through the course. They will discuss their own career paths and talk about what they have learned about networking, interviewing, solving coding problems, and fielding other questions you may encounter as a candidate. Let seasoned data analysis professionals share their experience to help you get ahead and land the job you want....

Top reviews

AN

Oct 3, 2022

It's been an great experience for me to learn and polish my career guide according to data analyst and interview skills as well. Smooth and flexible deadlines helps me alot to complete this course.

DS

Jan 8, 2024

This is a good course to help one prepare for Data Analytics Interviews. It gives the real world questions that may be asked in the interview processes.

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76 - 100 of 104 Reviews for Data Analyst Career Guide and Interview Preparation

By PARTHIV J D

•

Dec 30, 2022

data

By hindvi d

•

Oct 10, 2024

wow

By Dnyandev B

•

Jun 28, 2023

ok

By NEERAJ K N K

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Dec 16, 2023

5

By David P

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Jan 16, 2023

It´s a great review of the job searching process. Of course you will want more personalized assessment but the course give you a good orientation of what's needed.

By Sartaj A

•

Aug 20, 2023

this course help my critical thinking and any job role help for data analytics and help interview.

thanks Coursera Team uploading wonderfull video and content!

By Walter B

•

Jul 29, 2023

Seria de mucha ayuda poder contar con una mayor cantidad de idiomas tanto para los videos como de los subtítulos. Gracias

By Chimaobi O

•

Feb 10, 2023

its very informative. particularly, am impressed with the STAR method of answering question. thank you.

By Stephany G

•

Sep 28, 2024

Muy detallado cada parte del proceso de contratación, la preparacion y posibles pruebas tecnicas

By Sruti P

•

Aug 25, 2024

Its overall good but I think including tableau as data viz tool would have been good as well.

By Douglas G

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Sep 1, 2022

I enjoyed this course because it covered a lot of things I had not considered until now.

By Helena R

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Dec 24, 2022

Expected more challenging quiz questions. More job preparation qauestions.

By Philomena i E

•

Aug 25, 2023

Honestly, I must say Coursera is the Best, learned how to communicat

By Riaz F S

•

May 31, 2022

Comprehensive treatment of a neglected aspect.

By poonam g

•

Apr 24, 2023

well designed course

By My M s

•

Oct 9, 2024

It's Very helpful

By SolveEasy

•

Oct 18, 2022

It was helpful

By pooja m

•

Sep 2, 2022

informative

By Altaf A

•

Aug 31, 2024

excellent

By Sultan A

•

Feb 2, 2024

Free good

By Mohammed S

•

Jan 10, 2023

good

By Ethar E H A

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Aug 12, 2024

good

By Mohamed F M

•

Nov 6, 2022

Good

By Polad V

•

Oct 27, 2023

4

By Shree T

•

Oct 9, 2024

The course consists good in depth detail i just wish it had one streamline example from module 1 to module 11 for more clear understanding. The hands on lab and quizzes , peer graded assignments, different datasets to work on all were very helpful.