Getting Started with Python

Overview

Getting Started with Python Course OverviewPython is one of the most popular programming languages for data analysis—and it’s easier to learn than you might think. Whether you’re coming from Excel, BI tools, finance, or another programming background, this course will help you build a strong foundation in Python for working with data.

You’ll start by setting up your environment with Anaconda and Jupyter Notebooks, then learn the core building blocks of Python:

variables, data types, and data structures. From there, you’ll explore how to manipulate and analyze data using operators and functions, and write more advanced logic with conditionals and loops.

By the end of the course, you’ll be confident writing basic Python code to structure and prepare data for analysis.Getting Started with Python Learning Objectives By the end of this course you will be able to:

Install Anaconda Navigator and generate a Jupyter NotebookCreate and define variables and data typesIdentify common types of data structures and explain the differences between themCompare and analyze data with operators and functionsBuild more complex logic with conditional statements and for loopsWho Should Take This Course? This course is designed for beginners who want to use Python for data analysis—whether you’re transitioning from Excel, BI tools, finance, or another field.

It’s ideal for aspiring data analysts, business intelligence professionals, and anyone looking to add Python to their analytics skillset.

Syllabus

• Introduction
• Variables & Data Types
• Data Structures
• Operators & Functions
• Conditional Statements & For Loops
• Course Summary
• Qualified Assessment

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Taught by

Joseph Yeates

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Subjects

Programming