Python Data Analysis Bootcamp

Python Data Analysis Bootcamp

Ahmed El Mohandes, SDE Arts by Ahmed EL Mohandes

Last Updated on March 27, 2024 by GeeksGod

Course : Data Science: Python for Data Analysis Full Bootcamp

Welcome to the Data Science: Python for Data Analysis Full Bootcamp

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.

Course Overview

This course will cover the following topics:

  • 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 500,000 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.

Why Choose This Course?

There are several reasons why you should choose this course:

  • Comprehensive coverage of Python tools for data analysis
  • A step-by-step approach to learning Python from scratch
  • Practical examples and real-world projects for hands-on experience
  • Expert instructor support and resources
  • High-quality training materials including HD videos and working files

We have a lot to cover in this course. Let’s get started!

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In conclusion, data analysis is a crucial skill in today’s data-driven world. By mastering Python for data analysis, you can unlock a world of opportunities and make informed decisions based on real-time data. This full bootcamp course provides a comprehensive introduction to Python and its libraries for data handling, analysis, and visualization.

By enrolling in this course, you will gain the necessary knowledge and skills to excel in the field of data analysis. With expert instructor support, high-quality training materials, and free Udemy coupons available, there is no better time to start your journey into data science.

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What you will learn :

1. Code with Python Programming Language
2. Python Functional Programming
3. Structure Data using collection containers
4. Object-Oriented Design
5. Advanced Python Foundations
6. Handling Data with Python Libraries
7. Numerical Python
8. Extracting and Analyzing data from different resources
9. Data Analysis with Pandas
10. Data Visualization using matplotlib
11. Advanced Visualization with Seaborn
12. Build Python solutions for data science
13. Get Instructor QA Support and help

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