Pandas & Seaborn Data Science & Visualization course
3.6 (29 ratings)
Course Ratings are calculated from individual students’ ratings and a variety of other signals, like age of rating and reliability, to ensure that they reflect course quality fairly and accurately.
5,492 students enrolled

Pandas & Seaborn Data Science & Visualization course

Learn to acquire Data with NumPy and Pandas and visualize it with Matplotlib and Seaborn
3.6 (29 ratings)
Course Ratings are calculated from individual students’ ratings and a variety of other signals, like age of rating and reliability, to ensure that they reflect course quality fairly and accurately.
5,492 students enrolled
Last updated 11/2019
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Current price: $13.99 Original price: $19.99 Discount: 30% off
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This course includes
  • 16 hours on-demand video
  • 7 articles
  • 12 downloadable resources
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of Completion
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What you'll learn
  • Understand the Scientific Python Ecosystem
  • Understand Data Science, Pandas, and Altair
  • Learn basics of NumPy Fundamentals
  • Learn Advanced Data Visualization
  • Learn Data Acquisition Techniques
  • Linear Algebra and Matrices
Course content
Expand all 109 lectures 15:55:14
+ Introduction
5 lectures 16:44
Course Contents and Topics Overview
04:29
Please leave your feedback
00:59
Projects in the Scientific Python Ecosystem
00:01
+ Python 3 on Windows
2 lectures 12:38
Installation
07:48
Verification
04:50
+ Python 3 on Raspberry Pi
9 lectures 01:07:57
What is Raspberry Pi
08:39
Unboxing Raspberry Pi 3 B+
03:36
Web URLs for Software Download
00:01
Raspbian OS Setup Part 1
16:49
Raspbian OS Setup Part 2
16:30
VNC Improved
12:30
Linux commands used in the Section
00:01
Install IDLE3 on Raspberry Pi Raspbian
02:50
Python on Raspberry Pi Raspbian OS
07:01
+ Python 3 Basics
5 lectures 35:34
Hello World! on Windows
03:04
Hello World! on Raspberry Pi
05:07
Interpreter vs Script Mode
09:06
A brief Tour of IDLE
12:27
RPi vs PC
05:50
+ Python Package Index and pip
3 lectures 18:44
PyPI and pip
05:28
pip on Windows
04:40
pip on Raspberry Pi
08:36
+ Install NumPy and Matplotlib
2 lectures 10:26
Install NumPy and Matplotlib on Windows
04:05
Install NumPy and Matplotlib on Raspberry Pi
06:21
+ Jupyter and Remote Notebook
7 lectures 59:58
Jupyter and IPython
12:48
Jupyter Installation on Windows
06:31
Jupyter Installation on Raspberry Pi
06:36
PuTTY
04:01
Connect to Remote Jupyter Notebook
07:59
A brief Tour of Jupyter
22:02
Jupyter Installation and Remote Connection
00:01
+ Getting Started with NumPy
5 lectures 35:40
Introduction to NumPy
04:53
Indexing and Slicing
20:55
Ndarrays Properties
06:59
NumPy Constants
02:51
NumPy Datatype
00:02
+ Creation of Ndarrays and Matplotlib Visualizations
4 lectures 33:09
Ones and Zeros
08:23
Matrices with NumPy
04:59
What is Matplotlib
03:53
Numerical Ranges and Visualizations
15:54
Requirements
  • Windows PC/ Raspberry Pi with Internet Connection
  • Zeal and enthusiasm to learn new things
  • a burning desire to take your career to the next level
  • Basic Programming and Python Programming Basics
  • basic mathematics knowledge will be greatly appreciated
Description

Become a Master in Data Acquisition and Visualization with Python 3 and acquire employers' one of the most requested skills of 21st Century! An expert level Data Science Professional can earn minimum $100000 (that's five zeros after 1) in today's economy.

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

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

With over 105 lectures and more than 15.5 hours of video this comprehensive course leaves no stone unturned in teaching you Data Science with Python 3, Pandas, and Seaborn!

This course will teach you Data Science in a very practical manner, with every lecture comes a 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, Jupyter, Pandas, and Seaborn installed on your Windows computer and Raspberry Pi.

We cover a wide variety of topics, including:

  • Basics of Scientific Python Ecosystem

  • Basics of Pandas

  • 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

  • Basics of Matplotlib

  • Installation of SciPy and Pandas

  • Linear Algebra with NumPy and SciPy

  • Data Acquisition with Python 3

  • MySQL and Python 3

  • Data Acquisition with Pandas

  • Basics of Seaborn

  • Configuring Charts with Seaborn

  • Multi-plot Grid

  • Visualize Linear Relationships

  • Multi Color Plot

  • Visualizing the distribution of a dataset

You will get lifetime access to over 105 lectures plus corresponding PDFs and the Jupyter notebooks for the lectures! 

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

Who this course is for:
  • Data Science Professionals: Data Scientists and Data Engineers
  • AI and Machine Learning Professionals
  • Scientists, Mathematicians, Physicists, and Engineers
  • Python Developers and Programmers
  • Managers and Business Professionals
  • Anyone who wants to learn