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Отзывы учащихся о курсе Introduction to Data Analytics от партнера IBM

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

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.

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101–125 из 942 отзывов о курсе Introduction to Data Analytics

автор: Samuel R

7 мая 2021 г.

Very detailed instructors, and the course is rather practical than theoretical which is really helpful.

I can honestly say, my fear of learning data analytics has been put to rest, all that's left is eagerness.

автор: Arjuna G

9 нояб. 2020 г.

Excellent introductory course - very helpful for those who want to see if Analytics is a path they wish to pursue. Week 5 content really helps understand job prospects and what a career path could look like.

автор: Laerte R N P

22 февр. 2021 г.

Coursera é uma ferramenta sensacional para pessoas que se preocupam em evoluir nos conhecimentos em data analytics, foi um curso que me dá peso em meu currículo para a nova transição para uma nova carreira.

автор: Anna C

1 февр. 2021 г.

During the introduction course I got full understanding on what are main tasks of Data Analysts, what are career perspectives, what are the most important skills that successful Analyst needs to obtain etc.

автор: Jusrizal M

11 янв. 2021 г.

Great introductory course from IBM. It explains every fundamental part in becoming data analyst. It clears up all the fogs and now I can clearly see where I am going and what I should do to achieve my goal.

автор: Radvile R

28 сент. 2020 г.

The course is absolutely brilliant. It is well structured and clearly explain the key concepts of the data analytics. During the videos, the examples are shared which helps to understand the context better.

автор: Gustavo A M C

4 авг. 2021 г.

E​xcelente curso que permite crear una visual amplia y clara de los conceptos, conocimientos y habilidades principales que deberas aprender y/o reforzar para llegar a ser un Analista de Datos competente.

автор: Jorge G

28 мая 2021 г.

Please, don't stop the excellent professional certification programs. The program course so far, it greatly presented and has helped me understand the fundamentals of Data Analysis-Analytics.

Thank you!

автор: Aigiun G

10 сент. 2021 г.

A great job is done in providing professional background and knowledge on Data Analytics!! Learned more on tools, and gained new insights on analytics from IBM staff. Thank you for a great course!

автор: Lucas F M

23 мая 2021 г.

Introduction to the essence of Data Analytics. A good entry level course for people who do not know what the subject is about, and shows interesting examples of the daily life of a data analyst.

автор: Hisham A

11 мая 2021 г.

I must say as a Coursera learner, this course is unmatched in it's rigor, vividness of concepts and precision of demonstration and layout. Thanks to all those who put this piece of art together.

автор: Sung C

17 окт. 2021 г.

Pretty good course. In my opinion the reading material was a bit brief and did not really cover the quiz questions. Other than that though it was pretty clear and relatively easy to understand.

автор: Chinmay B

13 мая 2021 г.

The experience was awesome I got to learn many new things along with the skill and expertise and it was fun I started loving data more and understand it it even better. Thank you Coursera. ❤️

автор: Saber A

7 нояб. 2021 г.

This course is very helpful to the beginner level data enthusiastic's to learn about the current and future of data analysis domain. It also introduce one to the data related career paths.

автор: subhash M

22 июня 2021 г.

I found it very helpful and the lectures gave basic over-view of the data analytics and related fields. I strongly suggest for a beginner to learn this course and make maximum use of it.

автор: Ruben T

6 авг. 2021 г.

A very good course on the beginning levels of data analytics. Very much enjoyed the breakdown of the types of analytics, most commonly used tools and the advice from other data experts.

автор: Tamisha S

23 февр. 2021 г.

Enjoyed the intro course. A good foundation for someone who knows nothing about analytics. A great way to see if this field is something for you. I'm excited to take the next course.

автор: Alexander E

17 апр. 2021 г.

This is a really great theoretical course, very well structured with only useful information. There is a slight redundancy in descriptions from week to week, but still very well done.

автор: Екатерина Т

21 февр. 2021 г.

Thank you very much! I am very glad to receive another certificate, I will continue to study with IBM. I like the way you present the material, everything is structured and logical.

автор: Eduardo A G

5 нояб. 2021 г.


La plataforma es demasiado intuitiva para su uso me agrado realizar mi primer curso, los subtitulos a veces se desfasan pero todos los vídeos son estupendos y muy creados

автор: SAYED S I

24 апр. 2021 г.

It's been an amazing experience with Coursera. Thank you for giving me this wonderful opportunity. I have learnt many useful skills. I hope to do another course with this platform.

автор: SILVIA V S C

24 мар. 2021 г.

Excelente curso, diseñado definitivamente por los que saben, te llevan a comprender desde lo más mínimo a comprender todo lo relacionado al análisis de datos, muy recomendable...

автор: Rizky T U

27 авг. 2021 г.

I have studied the Introduction to Data Analysis course, I think the course is able to explain the introduction to data analysis as an initial basis for studying data analysis.

автор: Low C

24 янв. 2021 г.

Thanks to this course, it gives me a holistic understanding of the roles of Data Analyst, the skill set required, and the relevant knowledge in order to master this profession.

автор: Brett W

26 дек. 2020 г.

Great introduction to the field that covers enough breadth to give the student a solid understanding of the major technologies, trends, and the importance of this to business.