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Отзывы учащихся о курсе Introduction to Data Analytics от партнера IBM

4.8
звезд
Оценки: 4,159
Рецензии: 894

О курсе

This course presents a gentle introduction into the concepts of data analysis, the role of a Data Analyst, and the tools that are used to perform daily functions. You will gain an understanding of the data ecosystem and the fundamentals of data analysis, such as data gathering or data mining. You will then learn the soft skills that are required to effectively communicate your data to stakeholders, and how mastering these skills can give you the option to become a data driven decision maker. This course will help you to differentiate between the roles of a Data Analyst, Data Scientist, and Data Engineer. You will learn the responsibilities of a Data Analyst and exactly what data analysis entails. You will be able to summarize the data ecosystem, such as databases and data warehouses. You will then uncover the major vendors within the data ecosystem and explore the various tools on-premise and in the cloud. Continue this exciting journey and discover Big Data platforms such as Hadoop, Hive, and Spark. By the end of this course you will be able to visualize the daily life of a Data Analyst, understand the different career paths that are available for data analytics, and identify the many resources available for mastering this profession. Throughout this course you will learn the key aspects to data analysis. You will begin to explore the fundamentals of gathering data, and learning how to identify your data sources. You will then learn how to clean, analyze, and share your data 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, explore what it means to be a Data Analyst, and provide a real-world scenario of data analysis. This course does not require any prior data analysis, spreadsheet, or computer science experience. All you need to get started is basic computer literacy, high school level math, and access to a modern web browser such as Chrome or Firefox....

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.

MB
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:

826–850 из 942 отзывов о курсе Introduction to Data Analytics

автор: Gonçalo M

17 мая 2021 г.

Very broad subjects addressed, in a systematic and step by step.

Very complete and up-to-date

автор: TARUN V

7 мая 2021 г.

It is amazing for beginners and I enjoyed doing the final graded quiz. It was a lot to learn

автор: Alejandra M

24 февр. 2021 г.

Bien los conceptos generales, pero hace falta profundizar y tener más herramientas prácticas

автор: תומר ק

23 авг. 2021 г.

Very useful course, however it does not include any programming lessons, background only.

автор: Ettore V

26 окт. 2021 г.

I have learned what is data analytics and how fast we move to a data driven environment

автор: Sohan R P

22 мая 2021 г.

coursera is a good learning platform who want to make a career in New generation jobs.

автор: Dumelang K

3 февр. 2021 г.

Coarse full of content ad an overview of what to expect in the world of data analytics

автор: MATIAS G M P

6 февр. 2021 г.

The course is very well organized. More hands-on activity would have been appreciated

автор: Mostafa A

1 июля 2021 г.

Very comprehensive course, passes swiftly among different process of data analytics

автор: Marcelo V

15 апр. 2021 г.

Very good introduction, especially for someone who is trying to change his career.

автор: Rebecca H

11 нояб. 2020 г.

Enjoyable, the right pace, and great guest speakers for the "View points" videos.

автор: Christian V O

21 мар. 2021 г.

Quite dense and sometimes a bit boring, but full of content and well explained.

автор: Alexander E

27 июня 2021 г.

Good theoretical coverage but I would have enjoyed more practical excercises!

автор: Upendra K

3 февр. 2021 г.

The course is awesome and great to get an overview of the data science field.

автор: Tamara R

2 мая 2021 г.

Device model and location weren't even column headings on the final project.

автор: Odewole T

10 мар. 2021 г.

It really worth the stress, i now have additional knowledge on data analysis

автор: Montserrat C

8 нояб. 2020 г.

The course has been very interesting. It has been clear and well structured.

автор: Lim J

31 авг. 2021 г.

Very theory based course but gives a good understanding of data analytics.

автор: Abdallah

9 июля 2021 г.

I would rather present more information about the data analytic software

автор: Arpitha K

9 мар. 2021 г.

Good course to get an overall idea of Data Analyst roles. Good material.

автор: Vivian M

4 апр. 2021 г.

As a beginner, I learned a lot and the information were well-delivered

автор: Mary Q

23 нояб. 2020 г.

A good introductory course to data analytics, but not quite technical.

автор: Akarsh B

13 июля 2021 г.

It was an amazing course that helped me horn my Data Analytics Skills

автор: Sachin D

20 апр. 2021 г.

Could be more interesting if more practical introduction is proivded

автор: Prestin L

5 сент. 2021 г.

Great introduction to Data Analytics. Slightly biased toward IBM .