**Python Pandas and Altair Data Science & Visualization Course**

English | MP4 | AVC 1280×720 | AAC 44KHz 2ch | 12 Hours | 5.31 GB

Learn to acquire Data with NumPy and Pandas and visualize it with Matplotlib and Altair

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 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)

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

What you’ll learn

- Understand the Scientific Python Ecosystem
- Understand Data Science, Pandas, and xarray
- Learn basics of NumPy Fundamentals
- Learn Basic Visualization
- Learn Data Acquisition Techniques
- Linear Algebra and Matrices

**Table of Contents**

**Introduction**

1 Please leave your feedback

2 Scientific Python Ecosystem

3 Projects in Scientific Python Ecosystem

**Python 3 on Windows**

4 Python 3 Installation on Windows

5 Verify Python 3 on Windows

**Python 3 on Raspberry Pi**

6 What is Raspberry Pi

7 Unboxing of RPi 3B+

8 URLs for Downloads of Software

9 Raspberry Pi Raspbian OS Setup Part 1

10 Raspberry Pi Raspbian OS Setup Part 2

11 Remote Connection with VNC

12 Linux commands used in the section

13 Python 3 on Raspberry Pi

**Python 3 Basics**

14 Hello World on Windows

15 Hello World on Raspberry Pi

16 Interpreter vs Script

17 IDLE

18 RPi vs PC

**Python Package Index and pip**

19 Python Package Index and pip

20 pip on Windows

21 pip on Raspberry Pi

**Install Matplotlib and NumPy on Raspberry Pi**

22 Install Matplotlib and NumPy on Windows

23 Install Matplotlib and NumPy on Raspberry Pi

**Jupyter Notebook**

24 Jupyter and IPython

25 Jupyter Installation on Windows

26 Jupyter Installation on Raspberry Pi

27 Remote Connection with PuTTY

28 Connecting to a remote Jupyter Notebook

29 A brief tour of Jupyter

30 Jupyter Notebook Notes

**Getting Started with NumPy**

31 Introduction to NumPy

32 Ndarrays Indexing and Slicing

33 Ndarray Properties

34 NumPy Constants

35 NumPy Data Types

**Creation of Arrays and Matplotlib**

36 Ones and Zeros

37 Matrices

38 Matplotlib

39 Numerical Ranges and Visualization

**Random Sampling**

40 Random Sampling

**Array Manipulation**

41 Array Manipulation

**Bitwise Operations**

42 Bitwise Operations

**Statistical Functions**

43 Statistical Functions

**Plotting in Detail**

44 Single Line Plots

45 Multiline Plot

46 Grid Axes and Labels

47 Color Line Markers

**Installing SciPy and Pandas**

48 Introduction to SciPy

49 Install SciPy on Windows

50 Install SciPy on Raspberry Pi

51 Introduction to Pandas

52 Install Pandas on Windows

53 Install Pandas on Raspberry Pi

**Matrices and Linear Algebra**

54 Dot Products

55 Vector Dot Products

56 Inner Dot Products

57 QR Decomposition

58 Determinant Solving and Linear Equations

59 Linear Algebra with SciPy

**Data Acquisition with Python, NumPy, and Matplotlib**

60 Plain Text File Handling

61 CSV

62 Excel Files

63 NumPy File Format

64 Reading CSV File with NumPy

65 Matplotlib CBook Format

**Python and MySQL**

66 MySQL Installation on Windows

67 UPDATE

68 DELETE

69 DROP

70 Getting Started with MySQL and SQL Workbench

71 Connect MySQL with SQL Developer

72 Explore MySQL Workbench

73 Installing Pymysql on Windows

74 Connect to MySQL with Python 3

75 Execute DDL

76 INSERT

77 SELECT

**Series and DataFrames in Pandas**

78 Series

79 DataFrames

**Data Acquisition with Pandas**

80 Read CSV file

81 Read Excel

82 Read JSON

83 Pickles

84 Pandas and Web

85 Read SQL

86 Work with the Clipboard Data

**Basic Altair Visualization**

87 Installation and Basics

88 Basic Statistical Visulization

89 Encodings in Altair

**A bit of Machine Learning**

90 K-Means Clustering

**Downloadable Code Files**

91 BONUS LECTURE

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