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Python for Data Science Reviews

Course Overview

Average Rating: 4.3(Total 27 reviews)

Student Reviews

harsh139(1 week, 1 day ago)

ahmad.seddeh(1 month ago)

Randika_Jeewantha(1 month ago)

good work and this is very interesting, thanks team

firdevs(1 month ago)

ramniwas.kumar@gmail.com(1 month ago)

Good course for beginner .

harunshimanto(1 month ago)

Awesome course

kh.sala7(1 month ago)

arvind88(1 month, 1 week ago)

pranavbotke(1 month, 1 week ago)

very basic

nakkireddy(1 month, 2 weeks ago)

uzair505606(1 month, 3 weeks ago)

data_crat(1 month, 3 weeks ago)

Perfectly shaped for beginners! Thanks a ton for this.

sreevenkatesh59@outlook.com(1 month, 3 weeks ago)

Very helpful for the beginner. Interesting tutorial. Thought provoking multiple choice questions. Thanks for providing the course without any fee.

kanav71(1 month, 3 weeks ago)

More could have been added to this course like class concept which is very important besides that it's great course

prince_pratik7(1 month, 3 weeks ago)

rushikesh74(1 month, 3 weeks ago)

akin094(1 month, 4 weeks ago)

pablomash(2 months, 1 week ago)

A good introduction into Python with exercises that cement what you have learned and quiz questions that make you read beyond what is in the course.

neelima04(2 months, 1 week ago)

jazz777(2 months, 2 weeks ago)

amit0502(2 months, 2 weeks ago)

Best Intro to python & best for beginners who want to make carrier in data science.

vipul_k(2 months, 2 weeks ago)

gachet(2 months, 2 weeks ago)

knowledge_seeker(2 months, 2 weeks ago)

Nice introduction to start with Python. I liked the number of exercises to make the course user friendly. Please provide resources for some more topics like regular expressions and most popular Python libraries in Data Science.

UmangVerma(2 months, 2 weeks ago)

Course Content is well curated to perform data science stuff. Thanks Team.

icanbias(2 months, 3 weeks ago)

manikanth.peoplesoft(2 months, 3 weeks ago)

  1. Course Number

    BPDS001
  2. Status

    Active
  3. Estimated Effort

    08:00 (Hours per Week)
  4. Price

    Free