Genre: eLearning | MP4 | Video: h264, 1280×720 | Audio: aac, 44100 Hz
Language: English | VTT | Size: 4.75 GB | Duration: 12h 55m
What you’ll learn
Students will learn the basics of Data Analysis and use Python to extract data, cleanup data, perform analysis and finally visualise the Data
Requirements
student should be able to use a computer
Description
Hello Everyone,
Welcome to the First-hand Data wrangling and visualization course with Python. This course is intended for beginners who are interested in the wonderful world of data wrangling and visualization. This course assumes you don’t have experience with Python or Data Science concepts and attempts to demystify and make it as clear as possible using basic and concise examples.
The course begins with an introduction to Python programming and breaks down the common misconceptions about data science. Next, we move on and learn about common visualization tools and some popular Data Science Visualization libraries with some examples. We will be using Python simply because its a powerful language, is free, relatively easy for beginners to understand the code and has a lot of free Data Science related libraries.
Going Forward, we learn about popular Data Science libraries such as Pandas, NumPy, and SciPy and using these libraries to understand the basics of Statistics for Data Science .
we will also look into using python for Geographic Plots.
Finally to wrap things up, we look at some practical projects and solutions to enforce, solidify and strengthen the concepts we have learnt throughout the course.
Who this course is for:
Beginners interested in Data analysis and Visualisation using Python
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