Learn and build your Python Programming skills from the ground up in addition to Python Data Science libraries and tools
☑ Code with Python Programming Language
☑ Python Functional Programming
☑ Structure Data using collection containers
☑ Object-Oriented Design
☑ Advanced Python Foundations
☑ Handling Data with Python Libraries
☑ Numerical Python
☑ Extracting and Analyzing data from different resources
☑ Data Analysis with Pandas
☑ Data Visualization using matplotlib
☑ Advanced Visualization with Seaborn
☑ Build Python solutions for data science
☑ Get Instructor QA Support and help
Hello and welcome to the Python Programming and Data Libraries Complete Bootcamp 2021.
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 you 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.
I am Ahmed Ibrahim, a software engineer and Instructor and I have taught more than 200,000 engineers and developers around the world in topics related to programming languages and their applications, and in this course, we will dive deeply into the core Python fundamentals, Advanced Foundations, Data handling libraries, Numerical Python, Pandas, Matplotlib and finally Seaborn.
I hope that you will join us in this course to master the Python language for data analysis and Visualization like professionals in this field.
We have a lot to cover in this course.
Let’s get started!
English
Language
Mastering Python, Data Handling, Analysis and Visualization
Welcome to Mastering Python, Data Handling, Analysis and Visualization
Download and Install the working tools
Jupyter Overview + Markdown in Jupyter tutorial
Using Jupyter Notebook for coding with Python
Using Anaconda Prompt
Quiz 1
The basics of Python
Variables and Types Tutorial
Describe what’s inside the code
Define Blocks and Avoid IndentationError
Strings full tutorial
Numbers, Math and f-string tutorial
Handling inputs and outputs
Quiz 2
Python Data Structures
Structure Data using lists
Structure data using tuples
Structure Data using Dictionaries
Structure Data using sets
Quiz 3
The Fundamentals of Python
Comparing Values
Output from Logics
Conditional Statements
The while loop
The for loop in Python
Python Library Functions
User-Defined Functions
The lambda power
The break statement
The continue statement
The for else statement
Program to Put all together
Quiz 4
OOP in Python
Core Python OOP: Classes and Instances
Core Python OOP: Exploring Inheritance
Quiz 5
Advanced Foundations
Concise Comprehensions
Constructed modules and random
Doing mathematics
Doing statistics
Errors Exploration
Exceptions Playground
Quiz 6
Python Data Handling
IO data in memory
Interacting with operating system data
Moving data files between directories
Data will be in the trash bin
Zipping and Unzipping Data
Quiz 7
Numerical Python – NumPy
NumPy Level 1
NumPy Level 2
NumPy Level 3
NumPy Level 4
NumPy Level 5
NumPy Level 6
NumPy Level 7
NumPy Level 8
NumPy Level 9
Quiz 8
Analyze Data with Pandas
Pandas data analysis level 1
Pandas data analysis level 2
Pandas data analysis level 3
Pandas data analysis level 4
Pandas data analysis level 5
Pandas data analysis level 6
Quiz 9
Visualize Data with Matplotlib
Matplotlib data visualization level 1
Matplotlib data visualization level 2
Matplotlib data visualization level 3
Matplotlib data visualization level 4
Matplotlib data visualization level 5
Matplotlib data visualization level 6
Matplotlib data visualization level 7
Quiz 10
Advanced Data graphs with Seaborn
Seaborn statistical graphs level 1
Seaborn statistical graphs level 2
Seaborn statistical graphs level 3
Seaborn statistical graphs level 4
Seaborn statistical graphs level 5
Seaborn statistical graphs level 6
Seaborn statistical graphs level 7
Seaborn statistical graphs level 8
Resources
Python Programming
NumPy
Pandas
Matplotlib
Seaborn