Learning Python for Data Analysis and Visualization

4.4 (14861)
MOOC
Payment
Learning paid
Language
English
Duration
21 hour coourse
Course by Udemy
$ 126.99
$ 126.99
What will you learn?
Have an intermediate skill level of Python programming.
Use the Jupyter Notebook Environment.
Use the numpy library to create and manipulate arrays.
Use the pandas module with Python to create and structure data.
Learn how to work with various data formats within python, including: JSON,HTML, and MS Excel Worksheets.
Create data visualizations using matplotlib and the seaborn modules with python.
Have a portfolio of various data analysis projects.
About the course

PLEASE READ BEFORE ENROLLING: 

1.) THERE IS AN UPDATED VERSION OF THIS COURSE: 

"PYTHON FOR DATA SCIENCE AND MACHINE LEARNING BOOTCAMP" 

2.) IF YOU ARE A COMPLETE BEGINNER IN PYTHON-CHECK OUT MY OTHER COURSE "COMPLETE PYTHON MASTERCLASS JOURNEY"!

CLICK ON MY PROFILE TO FIND IT. (PLEASE WATCH THE FIRST PROMO VIDEO ON THIS PAGE FOR MORE INFO)

This course will give you the resources to learn python and effectively use it analyze and visualize data! Start your career in Data Science!

    You'll get a full understanding of how to program with Python and how to use it in conjunction with scientific computing modules and libraries to analyze data. 

  You will also get lifetime access to over 100 example python code notebooks, new and updated videos, as well as future additions of various data analysis projects that you can use for a portfolio to show future employers! 

    By the end of this course you will: 

  - Have an understanding of how to program in Python. 

  - Know how to create and manipulate arrays using numpy and Python. 

  - Know how to use pandas to create and analyze data sets. 

  - Know how to use matplotlib and seaborn libraries to create beautiful data visualization. 

  - Have an amazing portfolio of example python data analysis projects! 

- Have an understanding of Machine Learning and SciKit Learn!

  With 100+ lectures and over 20 hours of information and more than 100 example python code notebooks, you will be excellently prepared for a future in data science! 

Program
Intro to Course and Python
Understand what this course will help teach you.
Course Intro
Get a basic overview of what you will learn in this course.
Course FAQs
Setup
Have python and various modules set up on your computer.
Installation Setup and Overview
IDEs and Course Resources
More course info
iPython/Jupyter Notebook Overview
Learning Numpy
Learn to use Numpy for array creation and manipulation.
Intro to numpy
Take a quick glance at the links in the text and then move on to the next lecture for the video lessons!
Creating arrays

Learn to create arrays with numpy and Python.

Using arrays and scalars

Learn how to perform operations on multiple arrays and scalars!

Indexing Arrays

Learn how to index arrays with numpy.

Requirements
  • Basic math skills.
  • Basic to Intermediate Python Skills
  • Have a computer (either Mac, Windows, or Linux)
  • Desire to learn!
Lecturers
Jose Portilla
Jose Portilla
Head of Data Science, Pierian Data Inc.
Platform
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Udemy courses are suited to professional development. The platform is organized in such a way that it is experts themselves that decide the topic and when the course will start. All supporting documents are made available to you for lifetime access. On this platform, you can find a course on about any subject, and that is no exaggeration – from a tutorial on how to ride a motorcycle, to managing the financial markets. The language and the course format are established by the teacher. This is why it is important to read the information about the course carefully before parting with any money.
Rating
4.4
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