Data Science: Python for Data Analysis Full Bootcamp

Hello and welcome to 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.

This course will cover:Python tools for Data AnalysisPython BasicsPython FundamentalsPython Object-OrientedAdvanced Python FoundationsData Handling with PythonNumerical Python(NumPy)Data Analysis with PandasData Visualization with MatplotlibAdvanced Graphs with SeabornInstructor QA Support and HelpHD 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.