Python : Pandas & Altair Data Science & Visualization

Python : Pandas & Altair Data Science & Visualization, available at $19.99, has an average rating of 3.9, with 109 lectures, based on 23 reviews, and has 1259 subscribers.

You will learn about 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 This course is ideal for individuals who are Data Science Professionals: Data Scientists and Data Engineers or AI and Machine Learning Professionals or Scientists, Mathematicians, Physicists, and Engineers or Python Developers and Programmers or Managers and Business Professionals or Anyone who wants to learn It is particularly useful for Data Science Professionals: Data Scientists and Data Engineers or AI and Machine Learning Professionals or Scientists, Mathematicians, Physicists, and Engineers or Python Developers and Programmers or Managers and Business Professionals or Anyone who wants to learn.

Enroll now: Python : Pandas & Altair Data Science & Visualization

Summary

Title: Python : Pandas & Altair Data Science & Visualization

Price: $19.99

Average Rating: 3.9

Number of Lectures: 109

Number of Published Lectures: 109

Number of Curriculum Items: 109

Number of Published Curriculum Objects: 109

Original Price: $19.99

Quality Status: approved

Status: Live

What You Will 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

Who Should Attend

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

Target Audiences

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

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 Altair 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 Altair.

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

With over 105 lectures and more than 14.5 hours of video this comprehensive course leaves no stone unturned in teaching you Data Science with Python 3, Pandas, and Altair!

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 Altair 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 Altair and Vega Datasets
Data Visualization with Altair

You will get lifetime access to over 105 lectures plus corresponding PDFs, Image Datasets, 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!

Course Curriculum

Chapter 1: Introduction

Lecture 1: Course Introduction

Lecture 2: Topics Overview

Lecture 3: Please leave your feedback

Lecture 4: Scientific Python Ecosystem

Lecture 5: Projects in Scientific Python Ecosystem

Chapter 2: Python 3 on Windows

Lecture 1: Python 3 Installation on Windows

Lecture 2: Verify Python 3 on Windows

Chapter 3: Python 3 on Raspberry Pi

Lecture 1: What is Raspberry Pi?

Lecture 2: Raspberry Pi OS Setup

Lecture 3: Remote Connection with VNC

Lecture 4: Install IDLE3 on Raspberry Pi Raspbian

Lecture 5: Python 3 on Raspberry Pi

Lecture 6: Additional software for Remote Connection

Lecture 7: Turn your Raspberry Pi 4 into a portable Tablet with Sunfounder Raspad 3

Chapter 4: Python 3 Basics

Lecture 1: Hello World on Windows

Lecture 2: Hello World on Raspberry Pi

Lecture 3: Interpreter vs Script

Lecture 4: IDLE

Lecture 5: RPi vs PC

Chapter 5: Python Package Index and pip

Lecture 1: Python Package Index and pip

Lecture 2: pip on Windows

Lecture 3: pip on Raspberry Pi

Chapter 6: Install Matplotlib and NumPy on Raspberry Pi

Lecture 1: Install Matplotlib and NumPy on Windows

Lecture 2: Install Matplotlib and NumPy on Raspberry Pi

Chapter 7: Jupyter Notebook

Lecture 1: Jupyter and IPython

Lecture 2: Jupyter Installation on Windows

Lecture 3: Jupyter Installation on Raspberry Pi

Lecture 4: Remote Connection with PuTTY

Lecture 5: Connecting to a remote Jupyter Notebook

Lecture 6: A brief tour of Jupyter

Lecture 7: Jupyter Notebook Notes

Chapter 8: Getting Started with NumPy

Lecture 1: Introduction to NumPy

Lecture 2: Ndarrays Indexing and Slicing

Lecture 3: Ndarray Properties

Lecture 4: NumPy Constants

Lecture 5: NumPy Data Types

Chapter 9: Creation of Arrays and Matplotlib

Lecture 1: Ones and Zeros

Lecture 2: Matrices

Lecture 3: Matplotlib

Lecture 4: Numerical Ranges and Visualization

Chapter 10: Random Sampling

Lecture 1: Random Sampling

Chapter 11: Array Manipulation

Lecture 1: Array Manipulation

Chapter 12: Bitwise Operations

Lecture 1: Bitwise Operations

Chapter 13: Statistical Functions

Lecture 1: Statistical Functions

Chapter 14: Plotting in Detail

Lecture 1: Single Line Plots

Lecture 2: Multiline Plot

Lecture 3: Grid Axes and Labels

Lecture 4: Color Line Markers

Chapter 15: Installing SciPy and Pandas

Lecture 1: Introduction to SciPy

Lecture 2: Install SciPy on Windows

Lecture 3: Install SciPy on Raspberry Pi

Lecture 4: Introduction to Pandas

Lecture 5: Install Pandas on Windows

Lecture 6: Install Pandas on Raspberry Pi

Chapter 16: Matrices and Linear Algebra

Lecture 1: Dot Products

Lecture 2: Vector Dot Products

Lecture 3: Inner Dot Products

Lecture 4: QR Decomposition

Lecture 5: Determinant Solving and Linear Equations

Lecture 6: Linear Algebra with SciPy

Chapter 17: Data Acquisition with Python, NumPy, and Matplotlib

Lecture 1: Plain Text File Handling

Lecture 2: CSV

Lecture 3: Excel Files

Lecture 4: NumPy File Format

Lecture 5: Reading CSV File with NumPy

Lecture 6: Matplotlib CBook Format

Chapter 18: Python and MySQL

Lecture 1: MySQL Installation on Windows

Lecture 2: Getting Started with MySQL and SQL Workbench

Lecture 3: Install SQL Developer on Windows

Lecture 4: Connect MySQL with SQL Developer

Lecture 5: Explore MySQL Workbench

Lecture 6: Installing Pymysql on Windows

Lecture 7: Connect to MySQL with Python 3

Lecture 8: Execute DDL

Lecture 9: INSERT

Lecture 10: SELECT

Lecture 11: UPDATE

Lecture 12: DELETE

Lecture 13: DROP

Chapter 19: Series and DataFrames in Pandas

Lecture 1: Series

Lecture 2: DataFrames

Instructors

Ashwin Pajankar • 85,000+ Students Worldwide
Instructor | Programmer | Maker | Author | Youtuber

Rating Distribution

1 stars: 1 votes
2 stars: 0 votes
3 stars: 6 votes
4 stars: 3 votes
5 stars: 13 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!

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