Python Pandas and Altair Data Science & Visualization Course (Updated)

Udemy - Python Pandas and Altair Data Science & Visualization Course

https://www.udemy.com/course/complete-python-3-pandas-data-science-course/

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.

Description

This is themost 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 willteach 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)

Withover 105 lecturesand 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
MySQLand 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!

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

Course content

Introduction
- Course Introduction
- Topics Overview
- Please leave your feedback
- Scientific Python Ecosystem
- Projects in Scientific Python Ecosystem
Python 3 on Windows
- Python 3 Installation on Windows
- Verify Python 3 on Windows
Python 3 on Raspberry Pi
- What is Raspberry Pi?
- Unboxing of RPi 3B+
- URLs for Downloads of Software
- Raspberry Pi Raspbian OS Setup Part 1
- Raspberry Pi Raspbian OS Setup Part 2
- Remote Connection with VNC
- Linux commands used in the section
- Install IDLE3 on Raspberry Pi Raspbian
- Python 3 on Raspberry Pi
Python 3 Basics
- Hello World on Windows
- Hello World on Raspberry Pi
- Interpreter vs Script
- IDLE
- RPi vs PC
Python Package Index and pip
- Python Package Index and pip
- pip on Windows
- pip on Raspberry Pi
Install Matplotlib and NumPy on Raspberry Pi
- Install Matplotlib and NumPy on Windows
- Install Matplotlib and NumPy on Raspberry Pi
Jupyter Notebook
- Jupyter and IPython
- Jupyter Installation on Windows
- Jupyter Installation on Raspberry Pi
- Remote Connection with PuTTY
- Connecting to a remote Jupyter Notebook
- A brief tour of Jupyter
- Jupyter Notebook Notes
Getting Started with NumPy
- Introduction to NumPy
- Ndarrays Indexing and Slicing
- Ndarray Properties
- NumPy Constants
- NumPy Data Types
Creation of Arrays and Matplotlib
- Ones and Zeros
- Matrices
- Matplotlib
- Numerical Ranges and Visualization
Random Sampling
- Random Sampling
Array Manipulation
- Array Manipulation
Bitwise Operations
- Bitwise Operations
Statistical Functions
- Statistical Functions
Plotting in Detail
- Single Line Plots
- Multiline Plot
- Grid Axes and Labels
- Color Line Markers
Installing SciPy and Pandas
- Introduction to SciPy
- Install SciPy on Windows
- Install SciPy on Raspberry Pi
- Introduction to Pandas
- Install Pandas on Windows
- Install Pandas on Raspberry Pi
Matrices and Linear Algebra
- Dot Products
- Vector Dot Products
- Inner Dot Products
- QR Decomposition
- Determinant Solving and Linear Equations
- Linear Algebra with SciPy
Data Acquisition with Python, NumPy, and Matplotlib
- Plain Text File Handling
- CSV
- Excel Files
- NumPy File Format
- Reading CSV File with NumPy
- Matplotlib CBook Format
Python and MySQL
- MySQL Installation on Windows
- Getting Started with MySQL and SQL Workbench
- Install SQL Developer on Windows
- Connect MySQL with SQL Developer
- Explore MySQL Workbench
- Installing Pymysql on Windows
- Connect to MySQL with Python 3
- Execute DDL
- INSERT
- SELECT
- UPDATE
- DELETE
- DROP
Series and DataFrames in Pandas
- Series
- DataFrames
Data Acquisition with Pandas
- Read CSV file
- Read Excel
- Read JSON
- Pickles
- Pandas and Web
- Read SQL
- Work with the Clipboard Data
Basic Altair Visualization
- Installation and Basics
- Basic Statistical Visulization
- Encodings in Altair
Advanced Altair
- Configure Charts
- Data Transformations
- Compound Charts
- Saving Charts
- More Encoding Options
Altair Recipes
- Simple Charts
- Bar Charts
- Advanced Bar Charts
- Line Chart
- Area Charts
- Scatter Plots
- Histograms
- Maps
- More Charts
- Interactive Charts and Visualizations
A bit of Machine Learning
- K-Means Clustering
Downloadable Code Files
- Downloadable Code Bundle
- BONUS LECTURE