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

4.8
звезд
Оценки: 10,172

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

XD

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.

BS

21 окт. 2020 г.

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.

Фильтр по:

901–925 из 2,175 отзывов о курсе Introduction to Data Analytics

автор: diah d

22 июня 2022 г.

It was great course for beginner data analytics student

автор: A C

22 апр. 2022 г.

Great course to start with the basics of data analytics

автор: Saurav K

12 мар. 2022 г.

Nice feeling with coursera to get knowledge and skills.

автор: Aqib R

27 окт. 2021 г.

great course and coursera is the best platform to learn

автор: Julius O A

22 сент. 2021 г.

It requires understanding, adequate time and dedication

автор: Trang V

1 авг. 2021 г.

Wonderful & very easy to understand! Thank you so much!

автор: Srishti M

27 мар. 2021 г.

Exceptional content.

Easy to understand and comprehend.

автор: Brillitt A

10 мар. 2021 г.

An excellent course to introduce you to Data Analytics.

автор: Treasure

14 дек. 2020 г.

Learned quite a new full things and want to learn more.

автор: Ankur S

27 нояб. 2020 г.

very nice course as it's the first stone to complete it

автор: Vastie P

31 янв. 2023 г.

Easy to memorize the information shared in this course

автор: C. R L

1 нояб. 2022 г.

Great course!! I learned more than I thought I would.

автор: Hager O

7 окт. 2022 г.

ythank you you could sum up everything in perfect way!

автор: richard a

5 сент. 2022 г.

This course is very insightful and easy to comprehend.

автор: Edith C M N

17 июня 2022 г.

muy buena laexperiencia. el contenido y su importancia

автор: Tahmid L

23 дек. 2021 г.

Recommended course if you're an aspiring data analyst.

автор: Goitsemodimo

6 апр. 2021 г.

Well articulated and easy to understand for a beginner

автор: Jesse M

16 февр. 2021 г.

Excellent course! Easy to follow along and understand.

автор: Praveen K

17 дек. 2020 г.

Awesome course structure and delivery. Kudos IBM Team.

автор: Akinola O

28 окт. 2020 г.

Excellent introduction to the world of Data Analytics!

автор: Jitendra A B

11 янв. 2023 г.

This is a good start to start career as Data Analyst!

автор: Ananta B

19 нояб. 2022 г.

it is good and easy explanation on introduction level

автор: Abeda C

17 сент. 2022 г.

Well delivered lectures and very easy to comprehend.

автор: INDAH R P

4 июня 2022 г.

This course really helped me understand data analysis

автор: Saksham G

23 мая 2022 г.

It was best course for the beginners in Data Science.