Python for Data Analysis & Visualization 2023

Master the main data analysis and visualization libraries in Python: Numpy, Pandas, Matplotlib, Seaborn, Plotly + more

Python for Data Analysis & Visualization 2023
Python for Data Analysis & Visualization 2023

Python for Data Analysis & Visualization 2023 udemy course

Master the main data analysis and visualization libraries in Python: Numpy, Pandas, Matplotlib, Seaborn, Plotly + more

What you'll learn:

Data Analysis & Visualization: Python | Excel | BI | Tableau

  • Connect to Kaggle Datasets
  • Explore Pandas DataFrame
  • Analyze and manipulate Pandas DataFrame
  • Data cleaning with Python
  • Data Visualization with Python
  • Connect to web data with Power BI
  • Clean and transform web data with Power BI
  • Create data visualization with Power BI
  • Publish reports to Power BI Service
  • Transform less structured data with Power BI
  • Connect to the data source with excel
  • Prep query with excel Power query
  • Data cleaning with excel
  • Create data model and build relationships
  • Create lookups with DAX
  • Analyze data with Pivot Tables
  • Analyze data with Pivot Charts
  • Connect to data sources with Tableau
  • Join related data and create relationships with Tableau
  • Data Cleaning with Tableau
  • Data analysis with Tableau
  • The Data visualization with Tableau

Requirements:

  • Computer with internet access required.

Description:

Learn one of the most in demand programming languages in the world and master the most important libraries when it comes to analysing and visualizing data.

This course can be split into 3 key areas: Python for Data Analysis & Visualization 2023 Udemy

  • The first area of the course focuses on core Python3 and teaches you the essentials you need to be able to master the libraries taught in this course

  • The second area focuses on analysing and manipulating data. You will learn how to master both NumPy and Pandas

  • For the final part of the course you learn how to display our data in the form of interesting charts using Matplotlib,  Seaborn and Plotly Express

You will be using Jupyter Notebooks as part of the Anaconda Distribution. Jupyter is the most popular Python IDE available.

The course is packed with lectures, code-along videos, coding exercises and quizzes.

On top of that there are numerous dedicated challenge sections that utilize interesting datasets to enable you to make the most out of these external libraries.

There should be more than enough to keep you engaged and learning! As an added bonus you will also have lifetime access to all the lectures as well as lots of downloadable course resources consisting of detailed Notebooks.

The aim of this course is to make you proficient at using Python and the data analysis and visualization libraries.

This course is suitable for students of all levels and it doesn’t matter what operating system you use.

Curriculum summary:

  • Set Up & Installation

  • Core Python

    • Python Objects, Variables and Data Types

    • Control Flow and Loops

    • Functions

  • External Libraries

  • Data Analysis Libraries

    • NumPy

    • Pandas

    • Connecting to different Data Sources

  • Visualization Libraries

    • Matplotlib

    • Seaborn

    • Plotly Express

  • 4 dedicated Challenge Sections!!!!

Who this course is for:

Course Details:

  • 10 hours on-demand video
  • 21 articles
  • 1 downloadable resource
  • 1 practice test
  • 16 coding exercises
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of completion

Python for Data Analysis & Visualization 2023 udemy free download

Master the main data analysis and visualization libraries in Python: Numpy, Pandas, Matplotlib, Seaborn, Plotly + more

Demo Link: https://www.udemy.com/course/python-for-data-analysis-visualization/