Data Science: Python for Data Analysis 2022 Full Bootcamp (數據科學:Python 數據分析 2022完整訓練營)

Data Science: Python for Data Analysis 2022 Full Bootcamp (數據科學:Python 數據分析 2022完整訓練營)


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
2. Download and Install the working tools
3. Jupyter Overview + Markdown in Jupyter tutorial
4. Using Jupyter Notebook for coding with Python
5. Using Anconda Prompt

The Basics of Python

1. Variables and Types Tutorial
2. Describe what's inside the code
3. Define Blocks and Avoid IndentationError
4. Strings full tutorial
5. Numbers, Math and f-string tutorial
6. Handling inputs and outputs
7. Quiz 2

Python Data Structures

1. Structure Data using lists
2. Structure data using tuples
3. Structure Data using Dictionaries
4. Structure Data using sets
5. Quiz 3

The Fundamentals of Python

1. Comparing Values
2. Output from Logics
3. Conditional Statements
4. The while loop in Python
5. The for loop in Python
6. Python Library Functions
7. User-Defined Functions
8. The lambda power
9. The break statement
10. The continue statement
11. The for else statement
12. Program to Put all together
13. Quiz 4

OOP in Python

1. Core Python OOP: Classes and Instances
2. Core Python OOP: Exploring Inheritance
3. Quiz 5

Advanced Foundations

1. Concise Comprehensions
2. Constructed modules and random
3. Doing mathematics
4. Doing statistics
5. Errors Exploration
6. Exceptions Playground
7. Quiz 6

Python Data Handling

1. IO data in memory
2. Interacting with operating system data
3. Moving data files between directories
4. Data will be in the trash bin
5. Zipping and Unzipping Data
6. Quiz 7

Numerical Python - NumPy

1. NumPy Level 1
2. NumPy Level 2
3. NumPy Level 3
4. NumPy Level 4
5. NumPy Level 5
6. NumPy Level 6
7. NumPy Level 7
8. NumPy Level 8
9. NumPy Level 9
10. Quiz 8

Analyze Data with Pandas

1. Pandas data analysis level 1
2. Pandas data analysis level 2
3. Pandas data analysis level 3
4. Pandas data analysis level 4
5. Pandas data analysis level 5
6. Pandas data analysis level 6
7. Quiz 9

Visualize Data with Matplotlib

1. Matplotlib data visualization level 1
2. Matplotlib data visualization level 2
3. Matplotlib data visualization level 3
4. Matplotlib data visualization level 4
5. Matplotlib data visualization level 5
6. Matplotlib data visualization level 6
7. Matplotlib data visualization level 7
8. Quiz 10