Udemy

Python 3 Data Processing with Pandas and Plotly

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  • 173 Students
  • Updated 7/2022
4.2
(10 Ratings)
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Course Information

Registration period
Year-round Recruitment
Course Level
Study Mode
Duration
13 Hour(s) 2 Minute(s)
Language
English
Taught by
Ashwin Pajankar • 85,000+ Students Worldwide
Rating
4.2
(10 Ratings)
2 views

Course Overview

Python 3 Data Processing with Pandas and Plotly

Learn NumPy, Matplotlib, Jupyter, Pandas, Plotly, and SciPy in a single course

Become a Master in Data Acquisition, Visualization, and Processing 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 Pandas and plotly, this course is for you! In this course we will teach you Data Science and Time Series with Python 3, Jupyter, NumPy, Pandas, Matplotlib, and Plotly .

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

With over 105 lectures and more than 12.5 hours of video this comprehensive course leaves no stone unturned in teaching you Data Science with Python 3, Pandas, and Time Series Analysis!

This course will teach you Data Science and Time Series 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 Plotly 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

  • Dataframes and Series in Pandas

  • Visualization with Plotly

  • Advanced Matplotlib Visualizations

  • Data Processing

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 and Time Series with Python 3 in a way that will advance your career and increase your knowledge, all in a fun and practical way!

Course Content

  • 25 section(s)
  • 107 lecture(s)
  • Section 1 Introduction
  • Section 2 Python 3 on Windows
  • Section 3 Python 3 on Raspberry Pi
  • Section 4 Python 3 Basics
  • Section 5 PyPI and pip
  • Section 6 Install NumPy and Matplotlib
  • Section 7 Jupyter Notebook
  • Section 8 Getting started with NumPy
  • Section 9 Creation of Arrays and Matplotlib
  • Section 10 Random Sampling
  • Section 11 Array Manipulation
  • Section 12 Bitwise Operations
  • Section 13 Statistical Functions
  • Section 14 Plotting in detail
  • Section 15 Installing SciPy and Pandas
  • Section 16 Matrices and Linear Algebra
  • Section 17 Data Acquisition with Python, NumPy, and Matplotlib
  • Section 18 Python 3 and MySQL
  • Section 19 Series and Dataframes in Pandas
  • Section 20 Data Acquisition with Pandas
  • Section 21 Visualization with Plotly
  • Section 22 Plotly and Matplotlib
  • Section 23 Scientific Visualization and Statistics
  • Section 24 Downloadable Code Bundle
  • Section 25 BONUS SECTION

What You’ll Learn

  • Understand the Scientific Python Ecosystem, Understand Data Science, Pandas, and Plotly, Learn basics of NumPy Fundamentals, Learn Advanced Data Visualization, Learn Data Acquisition Techniques, Linear Algebra and Matrices


Reviews

  • C
    Cgrenoble1
    5.0

    I have not taken all of the classes, but the professor seems knowledgeable. I expect to learn much information.

  • F
    Fleming Hilskov
    2.0

    Very difficult to understtand his english and he speeks way too fast

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