Apr 20, 2019
perfect for beginner level. all the concepts with code and parameter wise have been explained excellently. overall best course in making anyone eager to learn from basics to handle advances with ease.
May 06, 2020
I started this course without any knowledge on Data Analysis with Python, and by the end of the course I was able to understand the basics of Data Analysis, usage of different libraries and functions.
교육 기관: Dr M S A•
Nov 20, 2019
It was a very interesting and correctly paced course for learning Data Analysis with Python. The course content and the assignments were very helpful in understanding the course well. Will recommend this course to all who want to do a well paced introductory course on Data Analytics using Python
교육 기관: Md. R H•
Sep 22, 2019
This course is outstanding valuable for the beginners who wants to build their career as data analysist. I have learned a lots of valuable statistical and progrmming for data analysis. Thanks to all instructor to give us such a opportunity to learn such kind of code and method for data analysis.
교육 기관: Marta F d O F d N N•
Jun 02, 2020
This was a great introductory course to statistical modeling with Python. I learned a lot of the basic methods to perform linear regression models and to describe statistical variables. The final assignment was slightly challenging, but doable if you follow the labs. All and all a great course!
교육 기관: Jamiil T A•
Jan 02, 2019
Awesome. A must take course very handy at giving the foundation of data analysis with python and what a nice introduction to linear regression with the library sklearn. For more it looks more like an in-depth course in linear regression. Kudos, the explanations of concepts were well approached.
교육 기관: Md. A A J•
May 03, 2020
The hands on examples for practicing on IBM cognitive lab, videos and lecturers made are great and helpful. The course contents are clear, precise and lecturer is very knowledgeable.
Joining and getting help from course mates and moderates in discussion forum is Excellent!
Ashfaque A. Joarder
교육 기관: Konstantin D•
Feb 23, 2019
The first "week" was way too simple. I believe things like "what a file path is" should belong to another course. The last 4 "weeks" gave a good picture of where to start with data analysis. The whole course can be completed after 5-10 hours (depends how long you play with the dev tool).
교육 기관: Surhan Z•
Jun 15, 2019
This course core purpose is to teach the student how to perform analysis in detail. I have taken a lot of courses related to data analysis but no one teaches in detail and gives great examples. I highly recommend this course to all student who wants to learn data analysis with python.
교육 기관: Vera C•
Jan 16, 2020
This course is actually harder than expected due to the python programming however I felt I truly benefited from it. I have learned and used Python before, but the python code in this course sets a new high bar for me. I'm going to go back and study all the labs in this course again!
교육 기관: Aman S T•
Apr 19, 2020
This was a good course. It had lot of content you will find data analysis with pandas library along with analysis there is regression machine learning model also and model evaluation section. Overall it was a great experience. Content was nice and I recommend to everyone to enroll.
교육 기관: Ketan K•
Dec 28, 2018
Really a step up in terms of difficulty compared to "Data Science with Python". Since the final week's content is judged on quiz and not a stand alone assignment, one must revise this course from time to time for the libraries referenced and model analysis approach. Great resource!
교육 기관: Gajula J•
Jul 16, 2018
This course is very good start for students who are planning to go into machine learning specifically.Students who have no Idea about regression and math find bit hard but little more effort from student side is needed. At the end you will have a zeroth tool for machine learning.
교육 기관: federico b•
May 12, 2020
It's a great course. I enjoyed a lot. Easy to follow.
However I miss go deeper with the meaning of the numbers (for example the R2 each time we calculate it) and to get deeper insights of the data after having on the table many interesting number for the analysis.
Thanks for all.
교육 기관: Dharmeshkumar P•
Apr 14, 2020
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.
교육 기관: Jason J D•
Sep 12, 2019
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.
교육 기관: SUSHANT•
Apr 07, 2019
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.
교육 기관: Javed A•
Oct 20, 2019
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.
교육 기관: Kuldeep N P•
Jul 13, 2018
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
교육 기관: Sagar S•
Sep 17, 2018
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.
교육 기관: Juan F B•
Apr 12, 2020
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.
교육 기관: Abdulahi O F•
Aug 21, 2019
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.
교육 기관: Luciana M G•
Mar 14, 2019
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.
교육 기관: Guy B•
Sep 24, 2019
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.
교육 기관: mustapha b•
Jan 06, 2020
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👨🏼💻.
교육 기관: Swapna A N•
May 13, 2020
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.
교육 기관: Mike F•
Oct 18, 2019
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.