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The Data Science: Python for Data Analysis 2023 Full Bootcamp is an extensive program designed to equip students with the skills and knowledge required to work with data using Python. The course covers all aspects of data analysis, from data cleaning and manipulation to data visualization and machine learning. Students will learn how to work with different Python libraries such as NumPy, Pandas, and Matplotlib, and how to use these libraries to analyze and visualize data effectively.
Additionally, the course covers advanced topics such as data modeling, regression analysis, and clustering, providing students with a complete understanding of the data science process. Upon completion of the course, students will be proficient in using Python for data analysis and will be well-prepared to work as data analysts or pursue further education in data science.
Data Science: Python for Data Analysis 2023 Full Bootcamp Description
Hello and welcome to the Data Science: Python for Data Analysis 2022 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.
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.
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.
