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Data Science

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Data Analysis

Free Python Course (Usage Part 5) - Data Analysis and Visualization

You can use Python to analyze large amounts of data and visualize the analyzed data in graph form so that you can easily understand it at a glance.

(5.0) 107 reviews

4,404 learners

  • nadocoding
Pandas
Matplotlib
Python
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What you will learn!

  • How to use pandas, an essential library for Python data analysis

  • Matplotlib, a visualization library that lets you understand complex data at a glance

  • Analysis of the Population Pyramid of South Korea (Practical Project #1)

  • Analysis of births and total fertility rate (Practical Project #2)

If the basic Python grammar is now easy,
Finish your Python learning with data analysis and visualization! 😎

📢 Please check before attending the lecture.

  • The development environment used in the lecture is Jupyter Notebook and Python 3.x.


Cars on the road too
It's all data 🚗

The navigation system in your car can tell you what time, where, and how fast you were moving.
As this data accumulates, we can determine the current traffic volume on a road and provide a choice of smooth, slow, or congested conditions. In some cases, if congestion is severe, we can even provide additional detour guidance.

first,
Data Analysis with Pandas 👨‍💻


It is no exaggeration to say that data is overflowing around us, to the point where it is almost impossible to say that everything is data.
Analyzing this data can reveal a variety of insights, and Python provides the Pandas library , which allows for easy data analysis, allowing you to slice, paste, and filter data.


second,
Data visualization with graphs 📊

If you're trying to decide which of two cars to buy, the graph on the right might be easier to understand than the table on the left, right?
Data visualization, which presents data in graph form so that it can be easily seen with the eyes, is just as important as data analysis.

A picture like the one on the right is called a radar chart .
Python has a library called M atplotlib for data visualization .

You can create various graphs, such as bar graphs, histograms, and scatter plots.
In this way , you will learn how to perform basic data analysis and visualization using Pandas and Matplotlib.


Using real data
Let's do a practical project together ✨

[Practical Project #1] South Korea's Population Pyramid by Year

[Practical Project #2] Number of Births and Total Fertility Rate

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Recommended for
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Who is this course right for?

  • Anyone who wants to discover the value hidden in data

  • People who frequently handle Excel files for work

Need to know before starting?

  • Python Basics

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Curriculum

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39 lectures ∙ (6hr 17min)

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