This Course is wonderful for someone who has just started their learning path towards being a data scientist. It has all the basic exercises to be done to gain the kick starter knowledge on the numpy, pandas library for data wrangling and data analysis.

Really useful. The approach of 'learn by yourself by solving this assignment + active discussion forums frequently visitied by the teaching staff where you can get a solution for any issue that shows up' is a good one for learning a programming language

I really enjoyed the experience. The videos are precise and give examples for the materials discussed. However it feels a bit sparse on the overall length. On the other hand the exercises test the knowledge acquired through the course and self learning.

Thank you once again Courser and Team for their generous contribution towards students across globe. The teachers and courses mentors specially Sophie who was awesome during the assignment for her nice clarification. This course was challenging but fun.

This is exactly the course you need to get started and familiar with Pandas. The home work requires a lot of self-study, which i enjoyed a lot. Only thing is that you have to wait until the end of the course to see best practice code for all home works.

All-embracing, comprehensive and effective course. Focused, generous with Python ready-to-use methodology, sources and professional advice on further professional improvement. Valuable tests and assessment tasks, encouraging for even more skills gain.

It was an awesome course and learned a lot from it, although you have to search lots of things while submitting the assignments, but at last you will learn a lot, do remember to complete the assignments beforehand because some might take a lot of time

This was a very good and most importantly intense hands on course. I could develop good amount of skills in data analysis even though I was not aware of anything in the field. I recommend it to all who wish to start learning data science from scratch.

Gives a good overview and gets one ready for more. Assignments particularly helped in strengthening the concepts learnt in the videos. TA's were extremely helpful in answering the questions, making the discussion forum a great source of learning too.

The Lectures are good but the assignments are tedious and you will have to browse the net and documents for the answers. The difficulty level of assignments is excellent and it prepares you for the future roles and codes in your data science journey.

This course is a great introduction to the Data Science World and provides essential knowledge in the field. Moreover, Professor Chris Brooks explains all the topics in an understandable way, which makes the course contents clear and easy to follow.

Gran curso introductorio, desarrollas buenas bases, durante las tareas necesitas investigar mas herramientas por tu cuenta eso sin duda te prepara para la vida real, donde muchas veces no sabes como se hace algo y necesitas investigar como lograrlo.

A course for all who want to start pandas. Nice and useful jupyter notebooks. Useful assignments on real data. Forum helped me to get over obstacles. After completing that course one should feel some steps closer to be a professional data scientist.

This is a fantastic introductory data science course on Python! I was wondered by the course structure, in-browser code editing and submitting. The first course which granted me an understanding of data cleansing, pandas and python for data science.

If you know the basics of Python, this is a great course to get started with. The lectures were comprehensive, and the assignments were very realistic and challenging. Highly Recommended for anyone interested to delve further into the "Data-Verse".

The course is very helpful, especially for a people not using python before. It provides solid python knowledge related with data science. The lesson is compact and clear. The assignment is not easy, I spent much more time than the hours suggested.

The course is quite good. But to complete the course, one will have to make an effort to learn python programming language from external sources as well. Overall, i feel that i learnt a lot after completing the assignments included in this course.

Really well structured

I took this course with no basics in python and then it can be a bit too hard... course items are only mentioned once so on the assigments it can be hard if u havent understood all of the material.

Well made course!

Thank you!

This is a brilliant course for anyone starting in data science. I recommend you have good basic knowledge in python. The most challenging part were the assignments and solving them brings the most learning. Forums are very useful in solving them.

it's start with basic and then jump on fundamental without wasting time!The course is really good for managing larger datasets. in introduction there are lots of example for data manipulation and little intro about statistics and machine learning

Guys, you are AWESOME!

I started learning Python 6 month ago with Dr. Chucks course "Python for Everyone". Then completed this one. Now I can code and apply this skills to do my job!

Thank you all!

PS. 4 more courses to complete. Challenge accepted

The course has a good balance of information presented and application. The exercises in the assignments are pretty good. Going through the exercises reinforce the knowledge and also requires further research on topics not covered by the course.

Is a great course for people who wants learn about how manipulate data in Python, this isn't a way i wanted to take in my life, but after i taken it, i've decide to get more knowledge in this field. Over all, using Python makes all easy and fun

The course was well structured and comprehensive, the instructor communicated the concepts clearly, and the level of difficulty of the ssignments was just right to pose a challenge and force you to learn how to apply the concepts. Great course!

Very good course for any level data scientists. Prof. Brooks teaches from basic concepts to advanced level very well and in a neat way that no other teacher can. This course covers pandas, numpy, stats, hypothesis etc with programming examples.