Udemy

Python 3 Pandas, Bokeh, and Seaborn Data Visualization

Enroll Now
  • 1,104 Students
  • Updated 7/2022
4.4
(17 Ratings)
CTgoodjobs selects quality courses to enhance professionals' competitiveness. By purchasing courses through links on our site, we may receive an affiliate commission.

Course Information

Registration period
Year-round Recruitment
Course Level
Study Mode
Duration
9 Hour(s) 23 Minute(s)
Language
English
Taught by
Ashwin Pajankar • 85,000+ Students Worldwide
Rating
4.4
(17 Ratings)

Course Overview

Python 3 Pandas, Bokeh, and Seaborn Data Visualization

Learn Advanced Data Visualization with Python 3, NumPy, Jupyter, Matplotlib, Pandas, Seaborn, and Bokeh

Become a Master in Advanced Data Visualization with Python 3 and acquire employers' one of the most requested skills of 21st Century! A great data engineer/scientist earns more than $150000 per year in today's market!

This is the most comprehensive, yet straight-forward course for the Advanced Data Visualization with Python 3 on Udemy! Whether you have never worked with Data Visualization before, already know basics of Python, or want to learn the advanced features of matplotlib and seaborn with Python 3, this course is for you! In this course we will teach you Advanced Data Visualization with Python 3, Jupyter, NumPy, Matplotlib, seaborn, pandas, and Bokeh. 

(Note, we also provide you PDFs and Jupyter Notebooks in case you need them)

With over 70 lectures and more than 9 hours of video this comprehensive course leaves no stone unturned in teaching you Data Visualization with Python 3!

This course will teach you Data Visualization in a very practical manner, with every lecture comes a full programming video and a corresponding Jupyter notebook that has Python 3 code! Learn in whatever manner is the best for you!

We will start by helping you get Python3, NumPy, matplotlib, and Jupyter installed on your Windows computer and Raspberry Pi.

We cover a wide variety of topics, including:

  • Basics of Scientific Python Ecosystem

  • Basics of Digital Image Processing

  • Basics of NumPy and Matplotlib

  • Installation of Python 3 on Windows

  • Setting up Raspberry Pi

  • Tour of Python 3 environment on Raspberry Pi

  • Jupyter installation and basics

  • NumPy Ndarrays

  • Array Creation Routines

  • Basic Visualization with Matplotlib

  • Ndarray Manipulation

  • Random Array Generation

  • Bitwise Operations

  • Statistical Functions

  • Plotting with Matplotlib

  • Python 3 and Matplotlib Data Visualization Recipes

  • Seaborn recipes

  • Seaborn and Pandas

  • Bokeh

  • and much more....

You will get lifetime access to over 70 lectures plus corresponding PDFs and the Jupyter notebooks for the lectures! 

So what are you waiting for? Learn Data Visualization with Python 3 in a way that will advance your career and increase your knowledge, all in a fun and practical way!

Course Content

  • 10 section(s)
  • 73 lecture(s)
  • Section 1 Introduction to the course
  • Section 2 Python 3 on Windows Computer
  • Section 3 Python 3 on Raspberry Pi
  • Section 4 Python 3 Basics
  • Section 5 Python Package Index and pip
  • Section 6 Installing NumPy and Matplotlib
  • Section 7 Jupyter Notebook
  • Section 8 Getting Started with NumPy
  • Section 9 Creation of Arrays and Matplotlib
  • Section 10 Random Sampling

What You’ll Learn

  • Prepare Awesome Visualizations
  • Publications and Printing quality Visualizations
  • 3D Visualizations
  • Add Matplotlib, NumPy, seaborn, and bokeh in resume
  • Appear for Data Science interviews confidently


Reviews

  • N
    Ninad Parab
    5.0

    Excellent course

  • V
    Vishal Marakana
    5.0

    I am a beginner, so the course helped me gain insights in this domain. The concepts were thoroughly explained. Thanks :)

  • G
    Gaurav Bansal
    5.0

    I highly recommend this course for beginners. It is great value for money.

  • M
    Melinda Martinez
    5.0

    Must take course for someone looking for career in Data Science!

Start FollowingSee all

We use cookies to enhance your experience on our website. Please read and confirm your agreement to our Privacy Policy and Terms and Conditions before continue to browse our website.

Read and Agreed