All the quizzes had nothing to do with data science and more to do with reading comprehension ability

Huge wast of Time To be honest

Really disappointed with the whole specialisation... I am leaving this review here because probably you might not check the others courses before you start it.

Specialisation is short and it is the only good thing about it. It took me I think 10-12 hours to do it.

So first of all the whole thing is not really informative. A lack of videos - Most of the time there is only "power-point"presentation with code written on it. I don't really understand why they have narrator who just read text - no emotions almost like a machine.

Courses:

1. You will spend a lot of time learning listening to videos about how sexy is to be data scientist... and that parents start sending their daughters for data science (sic!), and that it is a new science... Plus some rather simple information which you rather know taking into consideration you want to study it online. At least it is nice to watch - there is life in it.

2. You will spend the whole course watching different notebooks like jupyter R studio etc . without really learning any useful stuff. In the end you will just click run to create some already written commands in python. Yeap that's it. I know it is intro but adding 1 +1 third time in different console...

3. You will learn some methodology - A lot of complicated knowledge read by narrator who is not making it easier or more interesting. Almost like somebody reading you technical book...

4. SQL - you will try to learn it from presentations. I think there are no proper videos just images in narrated power point presentation. I watched some coursera lectures about sql before but still I had problems with following it. To make it worst you will have to use IBM products which are FREE - other reviews are probably outdated. The problem is that materials from this course are also outdated. So they are presenting you IBM tool-set which is already different. It is a problem because they are not even trying to show how they work just where to click.

I managed, you will too but, IBM, please do better.

This was an absolutely miserable process. The course and tests are more akin to elementary school reading comprehension exams than actual tools for teaching and evaluating students. It is absolutely unbelievable that this passed and acceptable and to the standard for IBM. I learned absolutely 0 useful information, completed the entire course in under an hour, and have nothing but wasted time to show for it. To top it all off one of the end exams is a peer reviewed assignment which is absolute nonsense, and the other is closer to trivia about the required readings than anything else. The cert, or badge, or whatever garbage I'll be getting for this isn't worth the electricity it took to turn on my computer and complete it. I'll be taking the easy route and get my next IBM badge from a cereal box.

Be warned!!

I took this course and completed then got my 'digital badge'. However, for me and 100's of other students (according to the forums) our grades and progress disappeared. Coursera, are telling students to report the issue but after 2 weeks and hundreds of complaints nothing has happened.

The course itself is OK but when you are PAYING it is very poor support.

If I didn`t know the Google courses, I would say this IBM course is good but since I know them, I say this is a total waste of time. Sorry but the Google guys offer much more material and hand-on exercises.

Repeats the same thing over and over again. Great as an indroduction, but needs to cut down on the number of repetitions. The length of the course can easily be halved or made 1/3rd the original.

Very verbose, time consuming and basic. This specialization could have done without this course or a shorter version of this course.

More like a marketing stint than an actual data science course

Just a lot of talk. Might as well have youtubed that question.

there is nothing to be learned from this course

Really not that usefull very easy to pass.

Extremely outdated!!!!

I recently completed the Data Science course offered on Coursera, and it has been an incredibly enriching experience. This course stands out for its comprehensive coverage of essential topics in data science, making it suitable for both beginners and those seeking a deeper understanding of the field. The course structure is well-organized, starting with foundational concepts and gradually progressing to more advanced techniques. The video lectures are clear, concise, and supplemented with hands-on exercises and real-world examples that reinforce the learning effectively. I particularly appreciated the balance between theoretical knowledge and practical application throughout the modules. One of the course highlights is the hands-on projects and assignments. They provided invaluable opportunities to apply the newly acquired skills using popular tools like Python, R, and SQL. These projects challenged me to tackle real data problems, solidifying my understanding of data manipulation, analysis, and visualization techniques. The instructors' expertise and passion for the subject were evident, making complex concepts understandable and engaging. Additionally, the discussion forums and community support were beneficial, fostering an environment where learners could share insights, ask questions, and collaborate. The course's pacing was suitable, allowing flexibility for learners to progress at their own speed. The supplementary resources, including readings and additional materials, added depth to the learning experience. In conclusion, this Data Science course on Coursera exceeded my expectations. It's a fantastic resource for anyone interested in diving into the world of data science, providing a solid foundation and practical skills necessary for success in this field. Highly recommended!

Review of IBM Data Science Course on Coursera The IBM Data Science Professional Certificate on Coursera is an excellent program for beginners who want to build a strong foundation in data science. Offered by IBM, this course covers essential topics such as Python programming, data analysis, machine learning, and SQL. Course Structure & Content The program consists of multiple courses, including: Introduction to Data Science – Covers the basics of data science, its applications, and career opportunities. Python for Data Science – Teaches Python programming, including libraries like Pandas and NumPy. Databases and SQL for Data Science – Focuses on using SQL for querying databases. Machine Learning with Python – Introduces machine learning algorithms and their applications. Each course includes hands-on projects, quizzes, and real-world case studies to help learners apply their knowledge. The final capstone project allows students to work on a data science problem using IBM tools. Pros ✅ Beginner-friendly with step-by-step guidance ✅ Covers a broad range of data science topics ✅ Hands-on practice with real-world datasets ✅ No prior coding experience required ✅ Certificate from IBM and Coursera Cons ❌ Some content may feel basic for those with prior experience ❌ Lacks in-depth coverage of advanced machine learning topics Final Verdict The IBM Data Science course on Coursera is a great starting point for anyone new to data science. It provides solid theoretical knowledge and practical skills, making it useful for those aiming for a career in data science or related fields. While it may not be sufficient for experienced professionals, beginners will find it an excellent entry-level program.

This introductory course provides a comprehensive and engaging overview of the field of data science, making it an ideal starting point for anyone interested in pursuing a career in this dynamic and rapidly growing industry. From the outset, the course is well-structured and thoughtfully designed. The content is presented in a clear and accessible manner, making complex concepts easy to understand, even for beginners. The instructors are experienced professionals from IBM, and their expertise and passion for data science are evident throughout the course. They effectively break down intricate topics into digestible segments, ensuring that learners can follow along without feeling overwhelmed. The course also emphasizes the importance of both technical and non-technical skills in data science. It covers essential topics such as the data science methodology, the role of a data scientist, and the various tools and technologies used in the field. Additionally, it stresses the significance of effective communication and collaboration, which are crucial for success in any data science role. Overall, this course exceeded my expectations. It serves as an excellent foundation for anyone looking to delve into data science, whether you're a complete novice or have some prior experience. The knowledge and skills gained from this course have equipped me with the confidence to pursue further studies in the IBM Data Science Professional Certificate specialization and beyond. I highly recommend this course to anyone interested in exploring the fascinating world of data science.

I recently completed an online data science course, and I found it to be an excellent learning experience. The course content was comprehensive and covered all the essential topics in data science, including statistics, data wrangling, data visualization, machine learning, and data ethics. The course structure was well-organized, with clear learning objectives and goals. Each module was broken down into easy-to-follow sections that built upon each other to provide a thorough understanding of the concepts covered.

The course instructor was highly experienced in the field of data science and was able to explain complex concepts in an accessible manner. The instructor was also available to answer questions and provide feedback on assignments and projects.

The course resources were plentiful and included textbooks, online tutorials, and relevant data sets. The assignments and projects were challenging and required us to apply the concepts learned in real-world scenarios.

One aspect of the course that I particularly enjoyed was the community support. The course provided a platform for students to interact with each other and the instructor to discuss and clarify doubts and questions. This helped create a collaborative learning environment, and I learned a lot from my fellow students.

Overall, I would highly recommend this data science course to anyone interested in learning about this exciting field. The course content, instructor, and resources were all of high quality, and I felt that I gained a solid understanding of data science fundamentals by completing the course.

I am happy to provide a positive review for the "What is Data Science?" course offered by IBM on Coursera. This course is an excellent introduction to the field of data science and provides a solid foundation for beginners who want to learn more about this exciting field.

One of the things I appreciated most about this course was the way it was structured. The course is divided into several modules, each of which covers a different aspect of data science. This makes it easy to digest the material in small, manageable chunks and ensures that you have a clear understanding of each concept before moving on to the next one.

The course also includes a variety of interactive elements, such as quizzes, hands-on exercises, and real-world case studies. These elements help to reinforce your understanding of the material and give you the opportunity to apply what you've learned in a practical setting.

The instructors for this course are knowledgeable and engaging, and they do an excellent job of explaining complex concepts in a way that is easy to understand. They are also responsive to student questions and provide helpful feedback on assignments and projects.

Overall, I highly recommend the "What is Data Science?" course to anyone who is interested in learning more about this fascinating field. Whether you are a complete beginner or have some experience in data science, this course is an excellent way to build your skills and knowledge in this exciting and rapidly growing field.

Thanks and Regards

Chander Kant

The IBM Data Science Professional Certificate surpassed all my expectations—it was nothing short of a masterclass in applied data science. From start to finish, every module, project, and even the seemingly small details (like troubleshooting pip installations or debugging code puzzles) contributed to an immense learning experience. What stood out: ✅ Hands-on projects: Each capstone and lab forced me to think critically, research independently, and apply tools like Python, SQL, and machine learning in real-world scenarios. ✅ Comprehensive curriculum: The balance between theory (statistics, ML algorithms) and practice (APIs, Folium maps, Dash dashboards) was perfect. ✅ Problem-solving grit: The course didn’t shy away from challenges—whether it was wrangling messy datasets or optimizing model accuracy, I emerged more resilient. Now, I feel genuinely prepared to tackle data science challenges in the wild. The certificate isn’t just a credential; it’s proof of the skills I’ve honed through frustration, breakthroughs, and countless hours of coding. To future learners: Commit fully. The puzzles and “Google moments” are where the real growth happens. By the end, you’ll surprise yourself with how capable you’ve become. Gratitude to IBM and Coursera for this life-changing journey!

Overall, I thought the course was a thorough introduction to data science. The history of data science, statistical analysis, machine learning, and data visualization were just a few of the many subjects addressed in the course. I liked how the course used examples from real-world businesses to demonstrate how data science is applied in many fields. Each portion of the course built on the one before it, making for a well-organized course. The tests and tasks helped reinforce the topics addressed, and the films were interesting and educational. It was simple to follow along because the instructor knew what she was talking about and gave good explanations.

The focus on ethical issues in data science was one of the aspects of the course that I loved the most. In order to comprehend how data science may be utilized responsibly and ethically, it is essential to grasp subjects like data privacy, bias, and responsible data collecting, all of which were discussed in the course.

If you want to learn more about data science, I would strongly recommend taking this course from coursera platform. This course offers a strong foundation for understanding the foundations of data science and its applications, regardless of your level of expertise in the subject.

The IBM Data Science Professional Certificate is a comprehensive program that covers various aspects of data science and machine learning. The course focuses on teaching the fundamental concepts, tools, and techniques used in data science and how to apply them to real-world problems.

Data Science is an interdisciplinary field that combines computer science, mathematics, statistics, and domain expertise to extract insights and knowledge from data. It involves collecting, cleaning, transforming, and modeling data, and using algorithms, statistical models, and visualizations to analyze and gain insights from the data. The goal of data science is to uncover hidden patterns, correlations, and relationships within data and use this information to make informed decisions.

In summary, the IBM Data Science Professional Certificate course provides a comprehensive introduction to data science, teaching the essential concepts, tools, and techniques used by data scientists to extract insights and knowledge from data.

Thank You Ibm and Coursera also check my Linkedin

https://www.linkedin.com/in/nursultan-kurmanbekov-3b3630259?lipi=urn%3Ali%3Apage%3Ad_flagship3_profile_view_base_contact_details%3BYGhzS1tCSdyKJCqZDJG3%2Fg%3D%3D

Better than I thought it would be. Cousera shows me that learning can be enjoyed. Producing a satisfaction upon completion. The forum is a nice addition and I appreciate the interaction. I finished my first course full of excitment for what the next course will bring. Just another oppertunity to make a differece in some way each day is so satisfiying. I really am on my way to a bright future all because of coursera. Cheer's my peers for new knowledge appears. Producing a light so the problems we face we can fight, and we can win, all because the knowledge is held within, our minds and computers together create a database of incredible oppertunity. For humanity to advance as people get a second chance. So we can get it right and get to shine so bright, eradicating every problem cuz with our tech tools we can solve them. So if there's a delima in your mind and your data holds the line, I'll send you a honest answer, and just maybe I'll be appart of the cure for cancer. Hey all things are possible, it's important to use your mind in a positive manor, and be a loving knowledgable planner. My plan after experiencing coursera is to press on until I reach the high calling by which I am called in life.

El curso que estoy realizando es altamente estructurado y bien organizado, lo que facilita mantener un orden preciso en el estudio y gestionar el tiempo de manera eficiente. Además, la información proporcionada es precisa y completa, lo que realmente contribuye a un aprendizaje efectivo. Además de estas cualidades, destaco que la calidad del contenido es excepcional, con una variedad impresionante de recursos complementarios que enriquecen la experiencia de aprendizaje. La progresión natural del curso facilita la adquisición gradual de habilidades, mientras que el apoyo del instructor y la comunidad activa de estudiantes crean un ambiente colaborativo y enriquecedor. También aprecio la aplicación práctica de los conocimientos y la flexibilidad del curso para adaptarse a las necesidades individuales de los estudiantes. En resumen, el curso ofrece una experiencia de aprendizaje completa y efectiva que prepara a los estudiantes para tener éxito en su campo de estudio elegido.

I recently completed the "Introduction to Data Science" course, and it was an incredibly engaging and informative experience. The course content was well-structured, making complex topics easier to understand, even for beginners like myself. It covered all the foundational concepts, from data wrangling and visualization to an introduction to machine learning algorithms, giving a solid overview of what it means to be a data scientist. The instructors did an excellent job of explaining concepts clearly, and the real-world examples made the material more relatable and applicable. The course also provided hands-on exercises, which were crucial in reinforcing the learning process. I especially appreciated how the course balanced theory with practice, offering enough depth for someone just starting out in this field. Overall, I highly recommend this course to anyone looking to get started in data science. It's the perfect stepping stone into this rapidly growing field!

Currently I'm in college for Geoscience which is also online based and truthfully the platform is stale leaving me to struggle to stay attentive and locked in. The way this is structured with the videos and the random pop up questions to make sure your engaged is perfect. It almost has a jack in the box feel and getting the right answer is oddly satisfying. I also enjoy hearing a variety of professionals giving their input and advice and really breaking down how they would typically go about figuring out how to best tackle a particular problem. I'm currently taking an online geoscience course, and I have to say, the platform is stale and makes it hard to stay engaged. The videos and pop-up questions are a great way to keep students engaged. I also like hearing from professionals who share their insights and advice on how they would approach a particular problem. This course is different, and it keeps me coming back for more.