MS
May 3, 2023
A very structured course to give basic and useful insight to the world of data analysis. From zero, one absorbs the possible levels of details and requirements to get into the world of data analysis.
BS
Oct 21, 2020
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.
By Reymelp M R C
•Jul 6, 2022
Simply exceptional introduction to data analysis. The desire to continue specializing in this branch of data science that makes us discover answers even to the questions that we have not yet asked increases.
By Arjuna G
•Nov 9, 2020
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.
By Nuruddeen A A
•Jan 4, 2024
This course make me believe i can become a proficient data analyst. the course is well arranged and organised and following it from the beginning to the end has never been easier. thank you Cousera and IBM.
By Methmi K
•Jul 18, 2022
Very informative and clear on basics. I love the fact that this course includes experts' views which helps me to have a good understanding of each role, techniques and how it applies in real world scenario.
By Laerte R N P
•Feb 22, 2021
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.
By Anna C
•Feb 1, 2021
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.
By Jusrizal M
•Jan 11, 2021
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.
By Radvile R
•Sep 28, 2020
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.
By Toyin B
•Nov 9, 2022
I have indeed gained a lot of knowledge with this course and i am so excited about taking the remaining 8 modules to achieve the expert level for the career pathway. The lectures were so easy to understand
By Sairah N
•Jan 24, 2022
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.
By Busara
•Apr 22, 2022
The course helped me understand the concept of Data Analytics. The viewer's points inspire me with an idea of what technical skills, soft skills, and tools are essential to work in the Data Analyst field.
By Anirudh C
•Jun 2, 2024
Helpful course .... provide all information about technologies and tools used in data analytics also tells about the career and ways how to achieve them!!! thanks to IBM team and Coursera for this course
By Hari k
•Oct 30, 2022
a good course with a legit introduction into the world of data analysis, this is a slow course, one should take their time while absorbing evrything that these wondeful realtime data analysts teach you.
By Melissa C
•Oct 29, 2022
This was a very well-rounded introduction course! I came into this with previous knowledge from a Master's course and this covered everything that my other courses did, and even dare I say a little more.
By Gustavo A M C
•Aug 4, 2021
Excelente 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.
By abdul m
•Jul 10, 2024
This Course is very good for beginners who want become professional data analyst. Because this course has complete basic knowledge from scratch that is important to understand before dive in this field.
By Abdur R K
•Jun 25, 2022
This is a beginner course and is desgined with great care. It builds my base and energy for future study in the field of Data Analysis. I would pursue this specialization based on this MOOC experience.
By Jorge G
•May 28, 2021
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!
By Sharell B
•Mar 30, 2022
Very interesting course. I already wanted to be a data analyst but this course has made me even more enthusiastic. Thank you! I'm already looking forward to the more practical data analysis courses!
By shankar r
•Jun 17, 2023
Definitely one of the best intro of Data analyst Every aspire should learn this to know the technologies involved in data analyst profession it is foundation for a every Data carrier. thank you!
By Umesh V
•Sep 18, 2024
Thank you for creating this course. As a beginner trying to become mor analytically sound using data analytics, it was a great start to see the extent of tools that we can in subsequent courses.
By Mahnoor Z
•Jan 3, 2024
Really impressed with the course outline. quizes and graded assignment really are challenging and a great way to challenge your learning. I'm thankful to Coursera for providing this opportunity.
By John S
•Jul 21, 2023
All content was related and helpful, the only issue I see is the final assessment, peer graded. It looks like some students who want to get feedback on others', do not read the answers at all !
By Jarrett C
•Jun 13, 2022
This course offers a deep insight on the details of how to do the job of a data analyst. While it is an overview of the whole process, there is a lot of information to unpack. Highly recommend.
By Lucas F M
•May 23, 2021
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.