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 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
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Connect to Kaggle Datasets
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Explore Pandas DataFrame
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Analyze and manipulate Pandas DataFrame
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Data cleaning with Python
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Data Visualization with Python
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Connect to web data with Power BI
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Clean and transform web data with Power BI
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Create data visualization with Power BI
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Publish reports to Power BI Service
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Transform less structured data with Power BI
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Connect to the data source with excel
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Prep query with excel Power query
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Data cleaning with excel
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Create data model and build relationships
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Create lookups with DAX
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Analyze data with Pivot Tables
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Analyze data with Pivot Charts
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Connect to data sources with Tableau
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Join related data and create relationships with Tableau
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Data Cleaning with Tableau
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Data analysis with Tableau
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The Data visualization with Tableau
Requirements:
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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:
- Python developers curious about the data analysis libraries
- Python developers curious about the data visualization libraries
- Anyone interested in learning Python
- Data Analysts
- Anyone working with data
- Object Tracking using Python and OpenCV
- Data Structures and Algorithms in C for Beginners
- Become a Professional JavaScript Programmer
- WebRTC Practical Course. Build Video Chat With React
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/