Ratings and Reviews for Introduction to Data Science in Python

The assignment of week 4 is wrongly explained in the jupyter notebook. It says that the price_ration is equal to quarter before recession divided by quarter bottom recession. When you do so you will never get a validated result. The only result validated is recession_bottom minus recession_start! Giving assigments should include expected solution. Now you upload your file several times in order to figure out you are using the wrong formula.

Sometimes, between assignment and course lil' bit different but overall it's was fun way to learn new skill..

Outstandingly well composed and presented in every way. The inclusion of an actual programming environment that actually verifies your efforts is incredibly rewarding - far more so than having to complete a three multiple choice questions and discussion to pass an entire course! Cannot recommend highly enough.

This course is very difficult. This is first of all not a introductory course. The instructor teaches basic stuff but the assignments were look like mountain. It is quite impossible for a beginner to solve this type of assignment problems without having a very good background in python programming and data structure handling. I should recommend, the instructor should revise the course content. Please bring balance between what you are teaching and what you are expecting from student. After taking this course, I personally demotivated from taking further courses in this specialization. *********** I will recommend going for IBM data science specialization.********

satisfactory, although last week lectures need to be improved.

very good course

It was a great experience, i leaned a lot, but some questions were a little bit confusing,try to fix that please.

Excellent. I learned as like as I learned in my university.

What a great course i learned a lot of principles that have helped me to do meaningful things using python

Best course for data science.