Courses

Design and plot graphs in Python

The UC Berkeley Foundations of Data Science course combines three perspectives: inferential thinking, computational thinking, and real-world relevance. Given data arising from some real-world phenomenon, how does one analyze that data so as to understand that phenomenon.


Description

Learn about plots and graphs in Python

The UC Berkeley Foundations of Data Science course combines three perspectives: inferential thinking, computational thinking, and real-world relevance. Given data arising from some real-world phenomenon, how does one analyze that data so as to understand that phenomenon? The course teaches critical concepts and skills in computer programming and statistical inference, in conjunction with hands-on analysis of real-world datasets, including economic data, document collections, geographical data, and social networks. It delves into social issues surrounding data analysis such as privacy and design.

Produced in partnership with the University of California, Berkeley - Ani Adhikari and John Denero with Contributions from David Wagner Computational and Inferential Thinking.

In this module, you will:

  • Learn different fundamental graphical methods of data analysis: Scatter Plots, Line Graphs, Bar Charts, and Histograms.
  • Study categorical and numerical distributions and the difference between them.
  • Compare two different datasets through Overlaid Graphs in the datascience Library.
Name Design and plot graphs in Python
Language English
Duration 0:52 hours
Sector IT-ITES
Related QP * SSC/Q0401 - Junior Data Associate , SSC/Q0508 - Junior Software Developer , SSC/Q6501 - Product Executive , SSC/Q1302 - QA Engineer , SSC/Q7002 - QA Engineer , SSC/Q4801 - Quality Engineer , SSC/Q5301 - Research Associate , SSC/Q1101 - Sales and Pre-Sales Analyst , SSC/Q0901 - Security Analyst , SSC/Q0501 - Software Developer , SSC/Q6702 - Software Developer , SSC/Q4601 - Software Engineer , SSC/Q6101 - Support Engineer , SSC/Q0502 - UI Developer , SSC/Q0503 - Web Developer , SSC/Q0903 - Analyst Application Security , SSC/Q8101 - AI - Data Quality Analyst , SSC/Q8102 - AI - Business Intelligence Analyst , SSC/Q8103 - AI - Visualization Specialist , SSC/Q8104 - AI - Data Scientist , SSC/Q8105 - AI - Applied Scientist , SSC/Q8106 - AI - Data Engineer , SSC/Q8107 - AI - Data Architect , SSC/Q8108 - AI - Solution Architect , SSC/Q8110 - AI - Security Analyst , SSC/Q8111 - AI - Data Steward , SSC/Q8112 - AI - Devops Engineer , SSC/Q8113 - AI - Machine Learning Engineer  , SSC/Q8117 - AI - Data Sciences Consultant , SSC/Q8118 - AI - Product Manager ,
Price (INR) FREE
Availablity Available full time
Certification Availability from Knowledge Partner Not Available
Certification Availability from eSkillIndia Not Available
Assessment Availability from Knowledge Partner Available
Pre-Qualification 9th to 10th
NSQF level 7,4,7,7,7,7,8,7,7,7,7,7,7,7,5,7,6,6,6,8,7,7,8,8,7,7,7,7,8,8
FAQ URL https://docs.microsoft.com/en-us/learn/support/

Course Rating

Average Rating:5.0

*   The QP alignment of the course is provided by the Knowledge Partner and the course may not cover the QP in entirety.