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學生對 IBM 提供的 Introduction to Data Analytics 的評價和反饋

4.8
4,851 個評分
1,026 條評論

課程概述

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....

熱門審閱

XD
2021年8月11日

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
2020年10月21日

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.

篩選依據:

101 - Introduction to Data Analytics 的 125 個評論(共 1,069 個)

創建者 Tat-kuen H

2022年1月24日

An excellent as introduction to the discipline of data analytics. The required attributes, skills and tools are well set in the course, and the exercises and quiz are very helpful to facilitate learning. Thank you.

創建者 Alber W

2021年8月18日

G​reat course content which provides me with a string base for data echosystem, Data proffessions, Data analysis roles, skills and tools. Generally it is where yu have to start in your journy of data specialization

創建者 Samuel R

2021年5月7日

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.

創建者 Arjuna G

2020年11月9日

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.

創建者 Laerte R N P

2021年2月22日

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.

創建者 Anna C

2021年2月1日

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.

創建者 Jusrizal M

2021年1月11日

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.

創建者 Radvile R

2020年9月28日

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.

創建者 Sai N

2022年1月24日

Best introductory course on Data analytics so far.

This course is very comprehensive with relevant details and examples suitable for the new learner to catch up the understanding of the rest of the courses.

創建者 Gustavo A M C

2021年8月4日

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.

創建者 Jorge G

2021年5月28日

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!

創建者 Aigiun G

2021年9月10日

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!

創建者 Lucas F M

2021年5月23日

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.

創建者 Hisham A

2021年5月11日

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.

創建者 Sung C

2021年10月17日

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.

創建者 Alex B

2022年1月24日

This course offers a comprehensible introduction to Data Analytics. It helped me to expand my research into broader concepts, and about software available for data wrangling and visualization.

創建者 Carmem G

2022年1月3日

It's a curse to open your mind about the world of data analytics. You can feel It has a nice and easy structured flow, which helps a lot learning it if you're tryin' to learn on your own.

創建者 Chinmay B

2021年5月13日

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. ❤️

創建者 Saber A

2021年11月7日

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.

創建者 subhash M

2021年6月22日

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.

創建者 Ruben T

2021年8月6日

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.

創建者 Emmanuel C A

2022年1月11日

The topics are pretty much self explanatory. The questions are friendly and the experts interviewed are awesome. I am motivated now than ever to take a step further into Data Analysis.

創建者 Tamisha S

2021年2月23日

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.

創建者 Alexander E

2021年4月17日

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.

創建者 Екатерина Т

2021年2月21日

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.