Getting Started with Python

Unlock the power of Python for data analysis by learning how to set up your environment, write clean code, and build logic to explore and transform data.

Get started quickly with Anaconda and Jupyter Notebooks — no prior coding experience needed
Learn Python fundamentals like variables, data types, and data structures through practical examples
Build logic into your code using functions, conditionals, and loops to automate analysis

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Overview

Getting Started with Python Course Overview

Python 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 Notebook
Create and define variables and data types
Identify common types of data structures and explain the differences between them
Compare and analyze data with operators and functions
Build more complex logic with conditional statements and for loops

Who 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.

Getting Started with Python Learning Objectives

Install Anaconda Navigator and generate a Jupyter Notebook
Create and define variables and data types
Identify common types of data structures and explain the differences between them
Compare and analyze data with operators and functionsBuild more complex logic with conditional statements and for loops

Prerequisite Skills

Recommended skills to have before taking this course.

Basic data analysis

Getting Started with Python

Led by Joseph Yeates

Level 1

1h 28min

100% online and self-paced

Field of Study: Finance

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What You'll Learn

Lesson

Multimedia

Exams

Files

Course Summary

Qualified Assessment

Frequently Asked Questions

If you haven’t found your answer from our FAQ, please send us a message.

What are the requirements to take the courses?

All of our certification programs are open to students and professionals in various industries and levels of experience. Our curriculum is designed to teach what you need to know from basic fundamentals to advanced practical case studies. To take the courses and complete the exercises, students will only need access to a PC and/or Mac, Microsoft Suite (2016 or newer), and a stable internet connection. Click here to view the Technical Requirements

Can I download the Excel files and financial modeling templates for the course?

Absolutely! All the files and templates needed in a course are available for download. Just look for a module that shows Downloadable Files within the course dashboard. See here for a visual guide on how to do this.

How long do I have to complete the courses?

You will have yearly access to the courses as long as you maintain an active subscription. All the courses are self-paced as well so you can take your time in learning without worrying about any deadlines. Click here to compare our available enrollment options.

Are CFI courses officially accredited?

Yes, CFI is accredited by the Better Business Bureau® (BBB) to maintain training standards, the CPA Institutions in Canada, and the National Association of State Boards of Accountancy (NASBA) in the USA. Most of our courses qualify for verified CPE credits for CPA charter holders. Please refer to this page to view all available CPE credits.

Are there any additional fees or costs?

None! The bundle price includes everything and there are no additional fees or charges to earn your digital certification. You can see our enrollment fees listed here.

What currency are your courses priced in?

All our online courses are priced in USD. As this is a recurring payment, we accept all major credit and debit cards including Visa, MasterCard, and American Express.

How do I earn my certificates?

Students must complete all the video lessons, quizzes, and final assessments in each course. You can retake the assessments as many times as necessary until you reach an 80% passing grade. For more information on how to earn a course certificate, click HERE.

How are the exams conducted?

Students are required to complete an online assessment (Multiple choice questions, Fill-in-the-Blanks, and Excel Questions) at the end of each course. You can take the exams on your own schedule and will need to earn at least 80% to pass the course and earn your certificate of course completion. Please note that course exams can be repeated as many times as you need. Students are also required to complete the FMVA® final exam to earn their certification. How to Take a Qualified Assessment

Can I email the instructor if I have questions?

While the courses are designed mainly for self-study, we are happy to provide email assistance for general or technical support inquiries. The Full Immersion bundles include a premium email support function that allows you to communicate directly with in-house experts regarding course content. This is one of the key features that sets the Full Immersion bundle apart and makes it a worthwhile upgrade over the more affordable self-study bundle. You can compare more features in our bundles here.

Will these courses help me advance my career?

Based on hundreds of reviews from thousands of students we know how CFI courses have helped so many people advance their finance careers. Our courses are designed to be extremely practical and simulate the experience of being trained as a professional financial analyst…the ultimate way to advance your career. For real-world examples and to help delve even deeper into the course concepts, please look into our free career resources library.

What is CFI's refund policy?

Except as required by law, all payments to CFI are non-refundable, including fees and any other associated charges. Canceling your subscription will not generate a refund. Your access to CFI's paid content will remain active until your current billing cycle ends. For more information please visit our refund policy page.

Getting Started with Python

Getting Started with Python Course Overview

Getting Started with Python Learning Objectives

Who Should Take This Course?

Getting Started with Python Learning Objectives

Getting Started with Python

What You'll Learn

Introduction

Variables & Data Types

Data Structures

Operators & Functions

Conditional Statements & For Loops

Course Summary

Qualified Assessment

Frequently Asked Questions