Python Fundamentals

Overview

Python Fundamentals Course Overview Python is the most popular programming language used for data science and is a must-know to start or advance your career in data. In this course, you will learn the most fundamental skills to write and execute Python code.

We will have an overview of the basic Python concepts, which will enable you to get started with a data science project! You will see how to load, clean, analyze, and transform data with two popular Python packages:

Numpy and Pandas.

Then, we will demonstrate how to effectively communicate the key insights from your analysis by visualizing your data using the Matplotlib and Seaborn packages. Finally, you’ll combine these skills and put your new knowledge into practice by analyzing financial data through a case study.

PythonFundamentals Learning Objectives Upon completing this course, you will be able to:

Write and execute Python code to create variables, generate outputs, apply various operators, and manipulate different types of dataCapture and transform data using Numpy and Pandas packagesExplore data through different statistical methods to gain a deeper understandingVisualize data to share insights using the Matplotlib and Seaborn packagesCombine and apply the skills above to analyze financial dataWho Should Take This Course? This Python Fundamentals course is perfect for anyone who would like to build up their programming skills and use Python for data science to analyze data.

This course is designed to equip anyone who desires to begin or further their career in data analysis, quantitative analysis, business intelligence, or other areas of business and finance.

Syllabus

• Course Introduction
• Python Concepts
• Loading & Cleaning Data
• Analyzing Data
• Visualizing Data
• Case Study - Portfolio Optimization
• Course Summary
• Qualified Assessment

Taught by

Joseph Yeates

Subjects

Programming