Python 3 Pandas, Bokeh, and Seaborn Data Visualization
Python 3 Pandas, Bokeh, and Seaborn Data Visualization, available at $19.99, has an average rating of 4.1, with 73 lectures, based on 16 reviews, and has 1102 subscribers.
You will learn about Prepare Awesome Visualizations Publications and Printing quality Visualizations 3D Visualizations Add Matplotlib, NumPy, seaborn, and bokeh in resume Appear for Data Science interviews confidently This course is ideal for individuals who are Data Scientists, Data Analysts, and Data Engineers or Mathematicians, Statisticians, Scientists, and Engineers or Machine Learning and AI Professionals or Bioinformatics and Biostatistics professionals or Programmers and Developers or Students, Job seekers, anyone wanting to learn new stuff It is particularly useful for Data Scientists, Data Analysts, and Data Engineers or Mathematicians, Statisticians, Scientists, and Engineers or Machine Learning and AI Professionals or Bioinformatics and Biostatistics professionals or Programmers and Developers or Students, Job seekers, anyone wanting to learn new stuff.
Enroll now: Python 3 Pandas, Bokeh, and Seaborn Data Visualization
Summary
Title: Python 3 Pandas, Bokeh, and Seaborn Data Visualization
Price: $19.99
Average Rating: 4.1
Number of Lectures: 73
Number of Published Lectures: 73
Number of Curriculum Items: 73
Number of Published Curriculum Objects: 73
Original Price: $19.99
Quality Status: approved
Status: Live
What You Will 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
Who Should Attend
- Data Scientists, Data Analysts, and Data Engineers
- Mathematicians, Statisticians, Scientists, and Engineers
- Machine Learning and AI Professionals
- Bioinformatics and Biostatistics professionals
- Programmers and Developers
- Students, Job seekers, anyone wanting to learn new stuff
Target Audiences
- Data Scientists, Data Analysts, and Data Engineers
- Mathematicians, Statisticians, Scientists, and Engineers
- Machine Learning and AI Professionals
- Bioinformatics and Biostatistics professionals
- Programmers and Developers
- Students, Job seekers, anyone wanting to learn new stuff
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:
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Basics of Scientific Python Ecosystem
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Basics of Digital Image Processing
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Basics of NumPy and Matplotlib
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Installation of Python 3 on Windows
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Setting up Raspberry Pi
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Tour of Python 3 environment on Raspberry Pi
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Jupyter installation and basics
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NumPy Ndarrays
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Array Creation Routines
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Basic Visualization with Matplotlib
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Ndarray Manipulation
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Random Array Generation
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Bitwise Operations
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Statistical Functions
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Plotting with Matplotlib
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Python 3 and Matplotlib Data Visualization Recipes
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Seaborn recipes
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Seaborn and Pandas
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Bokeh
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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 Curriculum
Chapter 1: Introduction to the course
Lecture 1: Objectives
Lecture 2: Topics Overview
Lecture 3: Introduction to the Scientific Python Ecosystem
Lecture 4: Please do leave your feedback
Chapter 2: Python 3 on Windows Computer
Lecture 1: Install Python 3 on Windows
Lecture 2: Verify Python 3 environment 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 to Raspbian Desktop with VNC
Lecture 4: Install IDLE3 on 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: A brief Tour of IDLE
Lecture 5: Raspberry Pi Vs PC
Chapter 5: Python Package Index and pip
Lecture 1: PyPI and pip
Lecture 2: pip on Windows
Lecture 3: pip on Raspberry Pi
Chapter 6: Installing NumPy and Matplotlib
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: 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: Introduction to 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: Pandas
Lecture 1: What is Pandas?
Lecture 2: Install Pandas on Raspberry Pi
Lecture 3: Install Pandas on Windows
Lecture 4: Series
Lecture 5: DataFrame
Chapter 15: Pandas Visualizations
Lecture 1: Pandas Visualizations Part 1
Lecture 2: Pandas Visualizations Part 2
Lecture 3: Pandas Visualizations Part 3
Chapter 16: Seaborn
Lecture 1: Pandas Datasets in Seaborn
Lecture 2: Colors and Asthetics
Lecture 3: Visualizations and Plots
Lecture 4: Visualizing Regression in seaborn
Lecture 5: Uni-variate Data Visualization
Lecture 6: Catplot
Lecture 7: Pairgrid
Chapter 17: Visualizations in Bokeh
Lecture 1: Getting Started with Bokeh
Lecture 2: More Bokeh
Lecture 3: Layouts in Bokeh
Lecture 4: Column Data Source
Lecture 5: Column Data Source Visualizations
Lecture 6: Log Axis Example
Lecture 7: Scatter Plot
Lecture 8: Brushes
Lecture 9: Stock Price Visualization
Lecture 10: Interactive graph within Notebook
Lecture 11: Interactive Visualization
Lecture 12: Bullet Graphs
Chapter 18: A complete data Science example
Lecture 1: A complete data Science example
Chapter 19: Downloadable Code Files
Lecture 1: Downloadbale Code Bundle
Chapter 20: BONUS SECTION
Lecture 1: BONUS LECTURE
Instructors
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Ashwin Pajankar • 85,000+ Students Worldwide
Instructor | Programmer | Maker | Author | Youtuber
Rating Distribution
- 1 stars: 0 votes
- 2 stars: 2 votes
- 3 stars: 0 votes
- 4 stars: 3 votes
- 5 stars: 11 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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