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Topic Overview

Python is an essential tool for analyzing data for data science or any field of business. Python is the primary programming language used by many data scientists and data analysts. Read more
All of our Python courses at CFI are online so that you can develop your skills at your own pace. Our courses have a heavy focus on applying knowledge to real-world scenarios and data sets. We have numerous case studies in our curriculum so you can practice your skills and start to solve problems, instead of just answering questions.

3 courses

Consisting of over 170+ lessons

0+ interactive exercises

Learn by doing with guided simulations

Expert instructors

Learn from the very best

New courses monthly

On need-to-know subject matter

Blockchain certificate

To verify your skills

500,000+ 5 star ratings

Best-in-class training, as rated by you

Find the right Python course

With a focus on Python applied to Data Science, our courses help beginners and advanced learners build the skills they need to be confident in their careers. Whether you’re a student or a seasoned professional, our Python courses teach you foundational knowledge of Python to succeed in your field. Courses can be applied to specializations or certifications to advance your career in data science and business intelligence.

Courses and Case Studies for Python

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Why Learn Python with CFI?

As a leader in online financial analyst certification programs, CFI focuses solely on finance to help aspiring finance professionals develop skills for their future in the finance sectors. All courses are designed with the guidance of professional trainers from top Wall Street investment firms who train new hires.

We’re proud to offer comprehensive education in finance that combines theory and practice to improve learning and retention. All of our programs are condensed and self-paced, so you can develop the skills you need anytime, from anywhere.

With our Python courses, you can learn to:

Write and execute Python code to generate charts, create variables, and manipulate data
Import and use external packages, including Numpy, Pandas, and Matplotlib
Load data from multiple sources
Clean, transform, and analyze data to prepare it for analysis
Construct training data sets, testing data sets, and model pipelines
Build machine learning models to analyze data, including regression and classification
Visualize our data to communicate the insights from our analysis

Who should take these courses?

Our Python courses are for any learner who wants to build their skills with Python in the world of data science. With course levels ranging from beginner to advanced, you can translate the skills and concepts to solve real-world problems and contribute to any data team. From automating daily tasks to working on your first data science project, our courses will guide you through each step of the way.

Investment professionals

Management consultants

Financial analysts

Registered Provider: National Association of State Boards of Accountancy

All courses are accredited by the Better Business Bureau (BBB), CPA Institutions in Canada, and the National Association of State Boards of Accountancy (NASBA) in the US. Most courses qualify for verified CPE credits for CPA charter holders.

Courses include video lessons, quizzes, and final assessments.

Frequently asked questions

What is Python?
Python is the most popular programming language used for data science and is a must-know to start or advance your career in data. Python is a high-level programming language that emphasizes code readability. The intent of Python is to help programmers write clear, logical code for projects of virtually any size.
What is Python Used for?
Python is commonly used in data science to build machine learning models and analyze data. It can also be used to build websites, create software, and automate tasks. This programming language is general purpose, which means it can be used for a variety of programs and is not limited to specific applications or problems. Due to its readability, Python is considered one of the easier programming languages to learn. Non-programmers, such as accountants or financial associates, can write simple scripts to automate their daily tasks.
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