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.
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.
por Surhan Z•
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.
por Vera C•
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!
por Aman T•
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.
por Ketan K•
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!
por Anthony G•
This course was presented clearly and explained statistical concepts in a way that made them relevant and practical. The assignments were challenging, requiring review of notes and Python techniques made during the lectures, thereby reinforcing the learning outcomes in a good way.
por Gajula J•
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.
por Babak K Z•
very good and goal oriented cours, no loss of time , covers rapidly subjects that really increase students knowledge on python tools for data analysis. very interesting and useful cover on regression for tolls as well as explaining the statistical concept in a very simple way.
por RISHI K•
THE RATING IF POSSIBLE TO GIVE 100 THEN I CAN GIVE 100 FOR SURE , BUT OUT OF 5 IT DESERVES 5 WITHOUT ANY DOUBT I CAN SAY THIS COURSE CONTAINS THE ALL BASICS + ENSURES A GOOD UNDERSTANDING OF ALL THE THINGS NEEDED TO DEVELOP THE DATA ANAYSIS SKILLS ALONG WITH PRACTCAL APPROACH .
por federico b c•
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.
Everything is terrific! This course has in-depth lecturing while providing a great resource for practicing.
The only thing that bothered me is that there was a misleading ipynb url at the final project section. There were two different urls directing to two different projects.
por Veon G•
I have a specialist diploma with business analytic. However that was using software to do the visualization and analysis.
I guess it helps on my journey. I can relate the machine learning concept to this course.
This course is fantastic. Teaching you step by step progressively.
por Matt M•
Great overall experience. Although it would be great actually understanding the Python language in ways where you're actually learning about what each code means and does, I think this is more of an introductory course in terms of just understanding what Data Science is.
por Dharmeshkumar P•
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.
por Jason J D•
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.
por Sushant S•
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.
por Holt M•
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.
por Sergey F•
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.
por Javed A•
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.
por KULDEEP P•
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
por Theodore G•
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.
por Sagar S•
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.
por Lu L•
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.
por Juan F B•
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.
por Anna K•
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