I recently completed the Introduction to Data Analytics course by IBM on Coursera, and I highly recommend it to anyone interested in learning about data analytics. The course is well-organized and easy to follow, and the instructor does a great job of explaining the concepts clearly and concisely.

The course covers a wide range of topics, including data collection, data cleaning, data visualization, and data analysis. I especially enjoyed the sections on data visualization, as I found it to be a constructive way to understand and communicate the results of data analysis.

In addition to the videos and readings, the course also includes several hands-on exercises that allow you to practice what you have learned. These exercises were a great way to solidify my understanding of the concepts, and they were very helpful in preparing for the final quiz.

Overall, I was very impressed with the Introduction to Data Analytics course by IBM. It is a well-designed and informative course that provides a great introduction to data analytics. If you are interested in learning about data analytics, I highly recommend this course.

This course provides deep insights into various fields related to data, allowing us not only to understand data analysis but also to follow the entire data journey from start to finish. Beginning with an introduction to fundamental concepts and techniques for data collection, the course progresses to more complex methods of analysis and visualization, with each step clearly taught. Through comprehensive modules, we learn about the importance of data in decision-making, as well as how to leverage relevant tools and techniques to derive valuable insights from the available data. The course also emphasizes practical skills through assignments and projects that enable participants to apply what they have learned. With the knowledge gained from this course, we not only become more competent in data analysis but also develop a broader understanding of how data can be used to solve real-world problems across various indust

I really enjoyed this course!! There was a ton of information in every video yet the videos were short and to the point. The voices used in the videos are clear, easy to follow and actually quite pleasant. Also, the images and graphics used in the video are very organized and clear to understand which enhanced the visual experience. The layout of the course content is very organized and everything is easy to find and go back to. I love to see the checkboxes turn green as I am moving through the course. It really keeps me wanting to complete more and more. I started this course on a Tuesday late at night and I have completed it by Thursday afternoon (less than 2 days). I learned so much and am super excited to continue my journey learning Data Analytics!!

"Thank you so much for providing the Introduction to Data Analytics course on Coursera and awarding the certificate! This course has been an invaluable learning experience for me. The content was comprehensive and well-structured, making complex concepts easy to understand. The hands-on assignments and practical examples truly enhanced my understanding of data analytics techniques. I appreciate the effort the instructors put into creating such an engaging and informative course. This certificate will undoubtedly be a valuable addition to my skill set and professional development. Looking forward to exploring more courses on Coursera in the future!"

I recently completed the IBM Introduction to Data Analytics course, and it was a fantastic learning experience. The course content was well-structured, covering essential topics in data analytics such as data types, data cleaning, visualization, and basic statistical analysis. The real-world examples and detailed explanation provided by experts in the field, provided a practical understanding of how data analytics is applied in various industries. The instructors were knowledgeable and engaging, making complex concepts easy to grasp. Overall, I highly recommend this course to anyone interested in diving into the world of data analytics.

I learned the concepts and terms of data analysis, and its types. I also learned What are the data sources and how to choose the appropriate tools to deal with them, technical skills, personal skills, and tools. I took a glimpse into the programming language, descriptive statistics, and some of the programs used. I also learned the steps and stages that must be required to extract correct, accurate and effective results. I also learned How to tell a story and visualize the conclusions easily to stakeholders. Also I learned What is the career path and how to develop and move between different levels. All of this I learned and more, thanks.

This course opened my mind to new possibilities in data analysis and helped give an outlook on the data analysis career path. This introduction to data analytics helped structure the concepts I had about different technical skills and ad-hoc analysis abilities, already developed from working in research. It also opened new ideas about the importance of how to communicate the insights on data as well as broaden my horizons on what could be done and the tools to achieve that. Thank you for this excellent course! I plan on recommending to to my friends still leading research positions who have students who could benefit from this.

The skills and tools taught are interesting and useful, and it's rewarding to build your own project within the guiding structure of the course, requiring considerable time just to divine what was being asked for. Support from the teaching staff in the forums seemed inconsistent, with many questions receiving unhelpful responses and some simply ignored. Of course, struggling with the material pushes you to develop a deeper understanding of it, and the open-endlessness is good practice for real-world problems. Ultimately, I was able to figure it out, but I think a few corrections and clarifications would improve the curriculum.

"Introduction to Data Analytics" is an essential course for anyone looking to dive into the world of data. Covering fundamental concepts like data visualization, statistical analysis, and data manipulation, this course provides a solid foundation for beginners. The instructor's clear explanations and practical examples make complex topics accessible, while hands-on exercises ensure students can apply what they've learned. Whether you're a complete novice or looking to refresh your skills, this course is a valuable resource for understanding the power of data in today's world.

The Introduction to Data Analytics course was an excellent starting point for anyone interested in diving into the world of data analysis. The instructors provided clear explanations and practical examples, making complex concepts easy to grasp. The hands-on exercises were invaluable in building essential skills, and the course materials were well-organized and accessible. Whether you're a beginner or looking to refresh your knowledge, this course is a solid foundation for anyone looking to harness the power of data for decision-making. Highly recommended!

It's been a wonderful journey for me kick starting this course with Introduction to Data Analytics. I have really learnt a lot since I started and I can't wait to move to the next level. The course materials are really informative: The notes and the videos really helped me get much understanding of all that is been taught, especially the graphical representations depicted in the videos. The naration and the expect reviews are awesome. It makes you want to get to their level so soon. Lol

Kudos to the instructors and all who put this amazing stuff together!

Creo que ha sido fundamental hacer este curso porque si bien, vengo de una rama de la ingeniería, mis conocimientos sobre el análisis de datos no eran para nada significativos. Este curso me dio algo que considero fundamental, obtener una visión general de la actividad y de los requisitos indispensables para ejercerla correctamente. Considero imprescindible, primero tener muy claro hacia donde debo ir y recién después, sumergirme en las diferentes herramientas para que me posiviliten, llegar a convertirme en un Analista de Datos.

I don't usually say something is perfect, because it may sound that it can't be improved, but I'll make an exception for Introduction to Data Analytics from IBM and Coursera. This training was perfectly designed, organized and structured. The theory behind each concept and the association with the software you need to use for the different types of work is excellent. The course is very well balanced, the exams are concise and above all the course never let me lose the initiative or the interest to learn more concepts. Well done!

Un curso muy completo para tener una idea de lo que consiste el analisis de datos y lo que implica iniciar una carrera en este mundo. Para quienes quieren empezar una carrera o especialización en este campo y no estan seguros, este el curso perfecto para tomar la decisión de si continuar o buscar otra area. Es dinamico, con contenido muy valioso, fácil de entender y poner en practica lo aprendido en cada semana. En mi caso continuare con el certificado profesional. Me encanto la metodología y el contenido.

If you are thinking about pursuing a career in the Data Analytics world but have a bit, or no knowledge at all about it, I would totally recommend you to start with this Course. From my experience, I started this Course a bit apprehensive as I didn't have any bases in this area but it was truly wonderful. It explains all the basics in the data ecosystem and also gives you an inside of how it is to work as a Data Analyst. I was truly impressed and recommend it 200%

Can't wait for the next one :)

My introduction to your Data analytics course was an eye opener . I am 51 and took a career break after working for 26 years . Wondering what I could do with my time I came across your course , dwelt on doing it and finally decided that it would open up avenues to the future for me . And it did . The first course have kept me equally hopeful that what I learnt from you will only improve my future career prospects. I am looking forward to the next couse.

Thanks for making it awesome. 👏 😊 🙏

This course is very helpful if you are trying to understand what the profession of a data analyst is really about, what skills are required for it and what software you need to be familiar with. I found all explanations clear and viewpoints of professional data analysts useful. What I would like to see added to the course is a couple more use cases from practice like in the video "A day in life of a Data Analyst", it gives you the feel of the job, which could be valuable for learners.

I recently completed the "Introduction to Data Analytics" course on Coursera. The course was comprehensive, engaging, and well-structured. The instructors were knowledgeable and the course material was presented in a clear and concise manner. I highly recommend this course to anyone interested in expanding their knowledge in data analytics. Here's a photo of my certificate of completion. I'm proud of this achievement and look forward to applying these skills in my future endeavors.

The "Introduction to Data Analytics" course provides a comprehensive overview of key concepts, tools, and techniques used in data analytics. The course effectively combines theoretical knowledge with practical applications, making it suitable for beginners. The hands-on projects and quizzes reinforce learning, while the engaging lectures keep the content accessible. Overall, it's an excellent starting point for anyone looking to build a foundation in data analytics.

I can't believe I almost skipped this course to go straight into the Excel one! This has answered so many questions I had and helped me understand so much that I needed to know to improve on my job and help me choose a career path in analytics. It really puts the whole industry into perspective from multiple aspects and the instructors make concepts really simple to understand. I absolutely recommend this course if you need a thorough introduction to Data Analytics.

A great overview of what Data Analytics is, what you can do with it, what to expect a day in the life to be as an Analyst, career options, and what programs are used for what purpose. This was very helpful for wrapping my head around what to start with, what career paths I might want to take, and what job functions I'm interested in. A career in Analytics seems a lot more possible now, and I'm looking forward to entering and growing in the field!

Excellent introductory course. Prior to starting the course I had no idea what to expect, what to study next and what awaits me after finishing but when I took this course it taught me so much more. I learned the basics of thinking like a data analyst, what my career expectations should be, what skills I need to possess or work hard to acquire, and who are the people I will work with. I highly recommend this course from IBM.

This course was really intuitive and needed less effort to get comfortable at. I love IBM courses because of their organized structure, brevity and problem centric nature of the labs and final assignment. I was a very great experience overall and that applies to all their courses I have taken so far.

I think the peer review sections after marking by the first reviewer should be cross-checked by at least one more reviewer.

As expected, this course, from a leader in the data analytics/science field, provides an excellent overview of the state of the art in data analytics. Unlike other courses that I tried in the topic, this offering hit the ground running by emphasizing high-yield points from both the official material and the expert viewpoints. I am looking forward to finish the Professional Certificate where this course belongs.

Some parts of the course are too technical and quite overwhelming in detail but everything is absolutely essential. It gives a clear direction despite the many paths of data analytics. All the overwhelming details precisely will inform you of what you can do and still be even if you're literally a beginner with zero background in data. I also admire that the course highlighted women as data professionals.