Genre: eLearning | MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz
Language: English | Size: 1.86 GB | Duration: 41 lectures • 5h 32m
Learn python to analyse and present data visually. Step by step process to become a great storyteller using data.
What you’ll learn
You will learn Python From Scratch
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.
Create data visualizations using matplotlib and the seaborn modules with python.
Have a portfolio of various data analysis projects.
Requirements
Basic math skills.
Basic to Intermediate Python Skills Have a computer (either Mac, Windows, or Linux) Desire to learn!
Description
This course will give you the resources to learn python and effectively use it to analyse and visualize data. Start your career in Data Science!
Data Science is a blend of various tools, algorithms, and machine learning principles with the goal to discover hidden patterns from the raw data. How is this different from what statisticians have been doing for years? we will discuss all aspects to make you learn everything possible
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 analyse data.
You will also get lifetime access to over 100 python code notebooks examples, 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.
We will start python from scratch like all Data types, loops , functions
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 visualisation.
Have an amazing portfolio of example python data analysis projects!
Have an understanding of Machine Learning and SciKit Learn!
Who this course is for
Anyone interested in learning more about python, data science, or data visualizations.
Anyone interested about the rapidly expanding world of data science!
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