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Отзывы учащихся о курсе Introduction to Data Analytics от партнера IBM

Оценки: 3,632
Рецензии: 808

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.

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:

226–250 из 845 отзывов о курсе Introduction to Data Analytics

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: 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: LEGI S

17 янв. 2021 г.

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

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: 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: 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!

автор: Will T

8 нояб. 2020 г.

Good course with relevant learning materials. Thoughtfully presented and with good expert perspectives too.

автор: Gourab S

23 февр. 2021 г.

This course helps me to enrich my idea on Data Analytics field to initiate the beginning of the my Carrier

автор: Kerbie I

3 янв. 2021 г.

it was a amazing experience leaning Data Analytics and I hope to learn more about this topic in the future

автор: Pat B

11 дек. 2020 г.

Another mega dose of knowledge from IBM. As always, time well-invested. As usual, I recommend this course!

автор: Phelix K

5 июля 2021 г.

This is the best starter pack I have ever seen.. Good course indeed, my life has changed at this moment.

автор: Sara A

16 мая 2021 г.

It is a great course that brings all ins and outs of data analyst concepts, job vision and methodologies

автор: Nathanael A D S M

21 янв. 2021 г.

Fantastic course, i learned a lot from this course on Data Analytics. Thank you team you did GOOD JOB!!

автор: Maximiliano G

31 мая 2021 г.

Muy buen curso, Para quien desee comenzar en el mundo del análisis de los datos será de mucha utilidad.

автор: Wanjiru W

24 мая 2021 г.

Please add more assignment questions to help test for deeper knowledge and understanding of the course.

автор: Catarina C C

31 янв. 2021 г.

Very good introduction to data analysis and I enjoyed the final assignment as a wrap up for the course.

автор: G P

10 янв. 2021 г.

Its a nice course,whom so ever love to start new career in data analytics,I would suggest this course.

автор: Elise W

15 янв. 2021 г.

Very clear, concise and well-structured roadmap to the Data Analysis field. Recommend for entry-level.