Location

Community Services & Continuing Education - Alexandria

Objectives

• The main objective of the course is to provide students with the basic concepts of Python, its syntax, functions and packages to enable them to write scripts for data manipulation and analysis. Python can quickly create and manage data structures, allowing you to analyze and manipulate complex data sets. Python also has a massive ecosystem of libraries and tools that can assist in processing data quickly and efficiently. It features simple syntax, making Python easier to learn and understand. While Python is relatively simple to pick up and start using, it’s also very full-featured and flexible. All of these characteristics make Python an excellent choice for data analysis.

Outcomes

• Working in Jupyter Notebook.• Understanding and use variables.• Working with common Python data types like integers, floats, strings, characters, lists.• Reading data• Processing the data• Visualizing data

Course Contents

 installing jupyter notebook with anaconda. Python Foundation Problem Solving with Python Data Analysis with Python  NumPy Pandas Matplotlib Seaborn Plotly Full Data Analysis Project