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Python for Data Analysis & Visualization


Study one of the vital in demand programming languages on the planet and grasp crucial libraries relating to analysing and visualizing information.

This course might be cut up into 3 key areas:

  • The primary space of the course focuses on core Python3 and teaches you the necessities you want to have the ability to grasp the libraries taught on this course
  • The second space focuses on analysing and manipulating information. You’ll discover ways to grasp each NumPy and Pandas
  • For the ultimate a part of the course you discover ways to show our information within the type of attention-grabbing charts utilizing Matplotlib and Seaborn

You can be utilizing Jupyter Notebooks as a part of the Anaconda Distribution. Jupyter is the most well-liked Python IDE accessible.

The course is filled with lectures, code-along movies, coding workout routines and quizzes.

On prime of that there are quite a few devoted problem sections that make the most of attention-grabbing datasets to allow you to take advantage of out of those exterior libraries.

There ought to be greater than sufficient to maintain you engaged and studying! As an added bonus additionally, you will have lifetime entry to all of the lectures in addition to a number of downloadable course sources consisting of detailed Notebooks.

The goal of this course is to make you proficient at utilizing Python and the information evaluation and visualization libraries.

This course is appropriate for college students of all ranges and it doesn’t matter what working system you employ.

Curriculum abstract:

  • Set Up & Set up
  • Core Python
    • Python Objects, Variables and Data Sorts
    • Management Stream and Loops
    • Capabilities
  • Exterior Libraries
  • Data Analysis Libraries
    • NumPy
    • Pandas
    • Connecting to totally different Data Sources
  • Visualization Libraries
    • Matplotlib
    • Seaborn
  • 4 devoted Problem Sections!!!!

Who this course is for:

  • Python builders curious in regards to the information evaluation libraries
  • Python builders curious in regards to the information visualization libraries
  • Anybody keen on studying Python
  • Data Analysts
  • Anybody working with information

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