Data Science: Python for Data Analysis 2022 Full Bootcamp (數據科學:Python 數據分析 2022完整訓練營)
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Description
Data science is a huge field, and one of the promising fields that is spreading in a fast way. Also, it is one of the very rewarding, and it is increasing in expansion day by day, due to its great importance and benefits, as it is the future.
Data science enables companies to measure, track, and record performance metrics for facilitating and enhancing decision making. Companies can analyze trends to make critical decisions to engage customers better, enhance company performance, and increase profitability.
And the employment of data science and its tools depends on the purpose you want from them.
For example, using data science in health care is very different from using data science in finance and accounting, and so on. And I’ll show you the core libraries for data handling, analysis and visualization which you can use in different areas.
One of the most powerful programming languages that are used for Data science is Python, which is an easy, simple and very powerful language with many libraries and packages that facilitate working on complex and different types of data.
This course will cover:
Python tools for Data Analysis
Python Basics
Python Fundamentals
Python Object-Oriented
Advanced Python Foundations
Data Handling with Python
Numerical Python(NumPy)
Data Analysis with Pandas
Data Visualization with Matplotlib
Advanced Graphs with Seaborn
Instructor QA Support and Help
HD Video Training + Working Files + Resources + QA Support.
In this course, you will learn how to code in Python from the beginning and then you will master how to deal with the most famous libraries and tools of the Python language related to data science, starting from data collection, acquiring and analysis to visualize data with advanced techniques, and based on that, the necessary decisions are taken by companies.
Course Outline
Module/Subject(s) | Description of the Module/Subject |
Mastering Python, Data Handling, Analysis and Visualization |
1. Welcome to Mastering Python, Data Handling, Analysis and Visualization |
The Basics of Python |
1. Variables and Types Tutorial |
Python Data Structures |
1. Structure Data using lists |
The Fundamentals of Python |
1. Comparing Values |
OOP in Python |
1. Core Python OOP: Classes and Instances |
Advanced Foundations |
1. Concise Comprehensions |
Python Data Handling |
1. IO data in memory |
Numerical Python - NumPy |
1. NumPy Level 1 |
Analyze Data with Pandas |
1. Pandas data analysis level 1 |
Visualize Data with Matplotlib |
1. Matplotlib data visualization level 1 |