Data Science: Python for Data Analysis 2023 Full Bootcamp


Learn and build your Python Programming skills from the ground up in addition to Python Data Science libraries and tools

What you will learn

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

Description

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

Content

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

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