Good course giving exposure across all expect of data mining and data analysis with regression modeling and evaluation model through visualization and correlation, Rscore and much more. Very well organised modules with jupyter notebooks for each assignment and practice.

Really good course in Data Analysis for beginners. The videos and labs are very well planned and structured. Personally, I can say for sure that I have gained more knowledge about Data Analysis and am even more motivated towards Data Science after completing this course.

This course give a great introduction to the Python Packages and methodology to visualize the data and also evaluate the Model. This is good introduction course which gives concise understanding of concepts and all important python libraries required to get the job done.

This is how all the courses should be set up. Weeks are set up in an organized fashion of Videos, Lab, Quiz. No major things missing from instructions that waste your time, like the other IBM SQL course. Shout out to Joseph Santarcangelo for planning a beautiful course.

Very good introduction course into data analysis. Would be nice to elaborate more on Ridge and pipelines. Explanation of the math behind the library functions or references for further study would also help understand what method is more suitable for certain tasks.

What an amazing way to learn such a special set of skills from best platform of Coursera.

The IBM Skills Network Lab is really fantastic.

Also on IBM studio is speechless.

I will definitely recommend this must have course to all passionate learners around the globe.

Help to understand the process of doing projects on Data Science , As i tried to start with one Data set but i was not sure what to do, how to do. with the help of this course, I came to know the step by step process of Data Wrangling and making models. Thanks

Covered a lot of great material. Sometimes I went to other sources on the internet to get some more detail on parts that I did not understand. I all turned out well. The quizzes and labs are important. I must have taken a lot of work to put all this together.

This is very condense course. However the quizzes after every chapter are very timely, and one at the end of the week for entire week, helped a lot. The labs seems very real world, downloaded some notebook am sure will be using them in real world later on.

Well-structured. Offered clear instructions in the subject of model development, model selection and model evaluation. This lays the foundation to help me to learn further on these topics. The exercise for each unit is a good summary, helpful for review.

Very good coverage of basic skills needed for Data Analysis. Not very challenging if you have previous experience programming and have a general understanding of basic statistics. Would've liked a more "interactive" course regarding the codding assignments.

It turned out to be a very structured course with very high quality and detailed explanations. Great Python practice, parsing new libraries, and most importantly, explaining the statistical modeling and forecasting framework for a wide variety of tasks

The labs that included Jupyter Notebooks were very well done and left me feeling like they weren't impossible, but challenging enough to solidify my skills. Labs are extremely important for me in an online learning environment, and these were great.

I am highly impressed with the teaching methodologies and how the course is structured. By now, I can import, determine data types, conduct data wrangling which involves replacement ir dropping and regressions. Thanks to Cousera for the opportunity.

This it the first course I take it help me to understand Data Analyst way such as Systematic Thinking, Coding concept,This is great

And to the future learner You should have a basic of coding in PYTHON it may help to easily complete this course but

This course is an excellent continuation of the previous IBM ones. Actually there should be one whole course teaching the basics of statistics so that what is taught in this model makes more sense for those who have never studied statistics before.

I really enjoyed this course. The content was well described. Quite complex, it required me to explore other external material, probably because I lacked the sufficient statistical knowledge to run through the course smoothly.

Thank you Coursera!

Great Course which gave in detail information and Hands on lab about different visualization libraries available in Python such as Matplotlib, Seaborn and plotly for charts and dashboards. Useful course to understand and learn data visualization

Great course. few things to make it perfect:

more mathematic explanations required.

more details and explanations about the code itself - the methods and the opportunities inside it.

make the videos more interesting and not so monotonic and boring.

I thank Mr. Joe Santarcangelo 🙏🏼 who helped me learn how to prepare data for hashtag#analysis, perform simple hashtag#statistical analysis, create meaningful hashtag#data visualizations and hashtag#predict future trends from the data👨🏼‍💻.

The videos explained carefully the structure of the codes and explained the result. The graded quizzes and particularly the final project is also very helpful because it will let you review your notes and test your understanding of the course.

It was a wonderful experience in learning the course. It was completely a practical approach. I enjoyed the process of assignment submission and reviewing peers assignments. I would highly recommend the course for everyone. Thanks once again.

Outstanding course! Valuable information and methodologies all with clear and concise presentation. The labs are detailed and filled with awesome examples. Coursework is intuitive and easy to understand. I would highly recommend this course.

Its very nicely designed course .Its designed such that you get brush up your fundamentals and get to know the real taste of statistics and probability applying practically to real world. i really enjoyed and earned a valuable knowledge.

La calidad de los cursos de coursera es excelente. Obviamente tienen detalles que se deben trabajar como algunas presentaciones que no coinciden con las voces en off. Sin embargo con suspicacia se pueden solventar estos infimos detalles.