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Отзывы учащихся о курсе Introduction to Data Analytics от партнера IBM

Оценки: 4,829
Рецензии: 1,023

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

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:

251–275 из 1,066 отзывов о курсе Introduction to Data Analytics

автор: Lawrence O

7 мар. 2021 г.

its a fantastic course for new beginners that are interested in understanding how data analytics work, i enjoyed it

автор: Donald D J

18 дек. 2020 г.

A well needed course to establish a map into entering the Data Analytics field. This is where my journey will begin

автор: Prince B

6 июля 2021 г.

I have learnt about the process of Data Analysis, the different career paths in this field and much more in-depth.

автор: alejandro o m

3 апр. 2021 г.

In my opinion is excellent course because give us all the tools and suggestions to be proficient in data analytics

автор: Pepep P

13 дек. 2020 г.

Very interesting in general, I just wish there was some kind of lab involving some of the most used public clouds.

автор: Muhammad W

10 авг. 2021 г.

This course build my basic understanding about the data, how to deal raw data and fit into modeling and analysis.

автор: Dean B

12 мар. 2021 г.

Interesting and well presented introduction to data analytics. The "viewpoints" section was inspiring and useful.

автор: Joaquim R

12 июля 2021 г.

Congratulations to IBM and Coursera for a course very well organized with criterious contents and user friendly.

автор: pedro b

6 мая 2021 г.

A nice introduction to data analytics for for people who are not from the area or do not have so much experience

автор: Lefu M

18 июля 2021 г.

This course has taught me that data analysis can make or break an organization if done carefully or recklessly.

автор: Muhammad M

15 мар. 2021 г.

Very good course to learn for data analytics basic. The explanation is clear, complete, and deep in fundamental

автор: Isaac A

10 дек. 2021 г.

it is a great course as it demystifies the concept and functions of data analyst in the corporate world today.

автор: LEGI S

19 окт. 2021 г.

good material for analyzing data with an understanding of the theory, statistics, visualization and tools used

автор: Ian M

7 июля 2021 г.

T​he course is very well done and definitely a great step in learning about data analytics. I learned so much.

автор: yash v

8 мая 2021 г.

I loved the course and mentor. I thank @IBM for getting this course compiled. Looking forward for courses too.

автор: Hans F B

27 нояб. 2020 г.

The course provides a good overview of the data analysis landscape featuring inputs from actual data analysts.

автор: dawood a

1 янв. 2022 г.

Good course for the beginners. A brief overview of the Data Analyst world with relevant software information.

автор: Mario C

28 окт. 2021 г.

It is an excellent course, where you learn the concepts and the entire ecosystem of the data field very well.

автор: Sarah A S H

14 мар. 2021 г.

The materials have been presented in a simple, yet cover important topics. making learning easy and pleasant.

автор: Lisa X T

26 мар. 2021 г.

Gives a great overview/introduction to data analytics (Put the scene). Looking forward to the next trainings

автор: Vijay K

16 дек. 2020 г.

It was a short and crisp course covering the keywords and giving a high-level understanding of the concepts.

автор: Haritha G

1 дек. 2020 г.

Loved throughout the course. It was a good experience as I was really a fresh ones for this data analytics!

автор: Keith F

23 нояб. 2021 г.

I am happy with the layout and content of this course. It helped me understand the field of Data Analytics.

автор: Nguyễn K S

16 июня 2021 г.

this course wil help some people who want to work in data feild or have more knowledge about data analysis.

автор: Michelle D

6 мар. 2021 г.

Very interesting course. Well presented and explanation is clear and easy to understand! Thank you so much!