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Отзывы учащихся о курсе Introduction to Data Analytics от партнера IBM Skills Network

Оценки: 10,120

О курсе

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....

Лучшие рецензии


11 авг. 2021 г.

Very good course, giving beginners an overview of various aspects of data analysis, as well as having data analysts share their experiences, which is a great way for learners to get to know the field.


15 нояб. 2020 г.

Course is really helped me understand the concept of Data Analytics. The viewer's points explained What, Why, and how Data Analytics. And the final assignment gives an exact idea about Data analysis.

Фильтр по:

851–875 из 2,165 отзывов о курсе Introduction to Data Analytics

автор: Francisco G P P

17 мая 2021 г.

Very interesting and good to start on the Data Analysis area

автор: Steve R G

28 апр. 2021 г.

Muy apropiado para iniciar en el campo del análisis de datos

автор: Mitchell S

19 февр. 2021 г.

Really enjoyed the material, well presented and interesting.

автор: JG R F

28 дек. 2020 г.

A great and easy to follow introduction to a brand new world

автор: IMRAN A

11 сент. 2022 г.

Very inormative and detailed expananation with the experts

автор: Joaquin

19 июля 2022 г.

Muy buen curso para principiantes en el mundo de los datos

автор: Tuan H

8 июля 2022 г.

Thank you very much for providing me very useful knowledge!

автор: Renu S

3 мая 2022 г.

it is very helpful with this course to earn some knowledge.

автор: OYEKAN O G

2 мая 2022 г.

This is the best data analytics online Professional course!

автор: hemang r

19 апр. 2022 г.

so greatfull having keen knowledge of everything in basics.

автор: Assadur J R

26 мар. 2022 г.

Amazing course. I am completely satisfied with this course.

автор: Syed m B

27 февр. 2022 г.

A great course to get a basic knowledge of Data Analytics.

автор: S G

17 янв. 2022 г.

That was great time and I have gained a lot of experiences.

автор: Naufal h

22 дек. 2021 г.

i got much insight about data analyst, and it's really cool

автор: Sze M C

22 окт. 2021 г.

really informative and great assignment for knowledge check

автор: Andika N P

21 сент. 2021 г.

Good for understanding basic things in the data environment

автор: Shubham K

15 июля 2021 г.

Great deep introduction into the field of Data Analytics!!

автор: Neil W

10 мая 2021 г.

An excellent introduction to the subject of data analytics.

автор: Russell H

20 июля 2022 г.

great course, gives you everything needed for the basics.

автор: ASHWANI K

27 окт. 2021 г.

This course is very comfortable. And future growth skills.

автор: misgana l a

28 июня 2021 г.

very interesting I gain valuable knowlege from this course

автор: Ronjit M

19 апр. 2021 г.

Learned a lot especially related to types of data storage.

автор: Lordell R

16 мар. 2021 г.

I`ll understand clearly all topics tackled in this course.

автор: Berker A

15 февр. 2021 г.

Really good content for people who want to be data analyst