Python Fundamentals

Name: Python Fundamentals
Availability: InStock
Rating: 4.93 (90 reviews)

Learn the key concepts of Python, the most widely used coding language for data analysis. With this tool, you'll learn data analysis and visualization, and this might even be your first step into the world of data science.

Learn the logic and syntax of Python
Interact with datasets by loading, cleaning, and analyzing data
Visualize data by making plots with data to derive insights

Start Learning

Corporate Finance Institute

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.

Who 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.

Python Fundamentals Learning Objectives

Write and execute Python code to create variables, generate outputs, apply various operators, and manipulate different types of data
Capture and transform data using Numpy and Pandas packages
Explore data through different statistical methods to gain a deeper understanding
Visualize data to share insights using the Matplotlib and Seaborn packages
Combine and apply the skills above to analyze financial data

Prerequisite Skills

Recommended skills to have before taking this course.

Logical thinking
Basic Math

What You'll Learn

Lesson

Multimedia

Exams

Files

Course Summary

Qualified Assessment

This Course is Part of the Following Programs

Why stop here? Expand your skills and show your expertise with the professional certifications, specializations, and CPE credits you’re already on your way to earning.

Business Essentials Certificate

Skills Learned Microsoft Excel, Word, PowerPoint, Business Communication, Data Visualization, Ethics
Career Prep Sales Skills, People Management Skills, Relationship Management Skills, Business Analysis Skills

Learn More

FinTech Industry Professional (FTIP®)

Skills Learned Financial Technology Fundamentals, Data Science and Machine Learning, Cryptocurrencies and Blockchain
Career Prep Data Science and Machine Learning, Data Analyst, Business Analyst, Software Developer

Learn More

What Our Members Say

Great course

The course is great,

HONGIE ISMAILA

Python Fundamental

Highlight and cover all areas concerned for a finance person to understand and to add on knowledge upon completion. All and all good starting point.

Soe Nu Nu Chit

Very Good

Exciting to learn this valuable and organized course

Mohamed Amer Abd El Hakim El Shebly

Excellent content!

CFI excels in explaining complex topics with ease!

Jyotkaran Gill

Programming in Anacondas using Python

I can able to solve real world problems based on the course Python Fundamentals course.

Lydia Angolo Endjala

A good fundamental introduction to Python utilizing a relevant and useful case study.

This Python fundamentals course is a good introduction to computational finance. The case study is relevant and engaging. I recommend this course as well as the other Python for Machine Learning courses offered by CFI.

Herman Grotheer

Good Content

A good start to Python. Highly recommend

Bolaji Ahmed

Nice one

Well I implore everyone to give it a shot

Joel Nagalila

Impressive

It gave fundamental knowledge about Python.

Raphael Oyelami

Python Fundamentals

Quite challenging, needs more practice to comprehend

William Ogolla

great summary

a tedious one more especially I couldn't load the files to the jupyter notebook.

OKIABERA RAINI

the best in the world

i would recommend to anyone in the world

Tshepang Johannes

Interesting and knowledge packed course

Good show of knowledge and very practical too

Adesola Dosumu

Great

I am happy to learn python

Powell Alexander

Impacting

You Will Gain from this

Ayotomiwa Ogidiolu

Lovely

The course I love the most

JULIET OFFIAH

Highly reccomend

Great course content

Esther Offem

Engaging

The module is very engaging an more time need be allocated to enhance deeper analysis.

Bethuel Macharia

Python Fundamentals

It really touches rudiments of python language

Muideen Olalekan AGBOOLA

Python

I love python.Makes analysis of data easier

Charlester Serwaah Ahenkorah

Data structure

I learnt how to clean and transform data

Scholastica Shall

thank you

The course materials were engaging, clear, and informative

ABDELMOUNAIM HNIOUA

Wonderful introduction

Couldn't have gotten a better intro to python. Loved every minute of it!

Samuel Mbogo

Excellent

It was a wonderful experience to learn these interesting concepts

Peace Oyebamiji

Extremely valuable lectures

Samson Yakubu

Frequently Asked Questions

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

Contact Us

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.

Python Fundamentals

Python Fundamentals Course Overview

Who Should Take This Course?

Python Fundamentals Learning Objectives

What You'll Learn

Course Introduction

Python Concepts

Loading & Cleaning Data

Analyzing Data

Visualizing Data

Case Study - Portfolio Optimization

Course Summary

Qualified Assessment

This Course is Part of the Following Programs

Business Essentials Certificate

FinTech Industry Professional (FTIP®)

What Our Members Say

HONGIE ISMAILA

Soe Nu Nu Chit

Mohamed Amer Abd El Hakim El Shebly

Jyotkaran Gill

Lydia Angolo Endjala

Herman Grotheer

Bolaji Ahmed

Joel Nagalila

Raphael Oyelami

William Ogolla

OKIABERA RAINI

Tshepang Johannes

Adesola Dosumu

Powell Alexander

Ayotomiwa Ogidiolu

JULIET OFFIAH

Esther Offem

Bethuel Macharia

Muideen Olalekan AGBOOLA

Charlester Serwaah Ahenkorah

Scholastica Shall

ABDELMOUNAIM HNIOUA

Samuel Mbogo

Peace Oyebamiji

Samson Yakubu

Frequently Asked Questions