LIMITED TIME OFFER

Python Fundamentals

4-8Stars
$99.00 USD
$149.00 USD
  • Trusted by Top Global Banks
  • Award-Winning Algorithms
  • Instructor Support

  • Elite Professional Training
  • 99% Satisfaction Rate
  • 30-day Money Back Guarantee
You do not need programming skills to begin. The course teaches you the fundamentals of Python by building off your current excel skill set. 

Course Content

Python Basics

Setting Up Your Coding Environment, Performing Calculations, Generating Outputs with Static Text and Dynamic Values

Python Objects

Python Objects & Data Structures - types of Python objects that help you to organize other objects.

Custom Functions

Creating Custom Functions, Repeating Tasks through Iterable Objects, Incorporating Conditional Logic

NumPy

Importing Open-Source Packages, NumPy Arrays, Powerful Statistical Tools

Pandas

Two New Python Objects, ​Filtering Data with Boolean Masks, Segmenting with Groupby

Certifications

Verify Your Learning, Boost Your Resume, Complete the Pre-Requisite to Applied Machine Learning
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*These banks have used one or both of PyFi’s self-study courses to introduce their financiers to Python programming and its application in the world of finance.

Why is Python important in Finance?

  • Automate

    Automate the repetitive - Stop manually updating reports, reconciling data, or reformatting spreadsheets. Python does it for you.
  • Enhance

    Enhance Excel, don't replace it - Write Python scripts that work alongside Excel to speed up calculations, automate models, and fetch real-time data.
  • Integrate

    Integrate across platforms - Move data seamlessly between Oracle, PowerBI, Tableau, SQL databases, Excel, etc.
  • Accurate

    More accurate forecasting & analytics - Reduce human error and leverage Python's statistical libraries to improve financial models.
  • Decisions

    Make better decisions, faster - Turn raw data into insights with Python's data visualization and reporting capabilities
Financial Reporting
Credit Risk Reporting
Port Company Performance
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Python scripts integrate SAP Analytics Cloud with Tableau by leveraging the SAP Analytics Cloud OData API. Python fetches real-time financial data, cleans it, and sends it to Tableau for visualization. This integration reduces reporting cycle time by an estimated 40% while ensuring accurate and up-to-date dashboards.

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Extract financial and bond data from Bloomberg and automatically calculate key financial ratios like debt-to-equity and interest coverage. Machine learning models predict default probabilities. The models are validated for accuracy and risk scores and probability metrics are exported to Excel for presentation. Save approximately 15 hours while improving the accuracy of your forecasts by 25% with this Python integration.

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Python automates the consolidation of financial data from portfolio companies, reducing manual aggregation and saving approximately 6 hours per month. IT streamlines KPI calculations, eliminating Excel formula errors and improves accuracy by 30%. Automated benchmarking and real-time alerts highlight underperformers, cutting approx. 4 hours of manual comparisons. Dynamic dashboards in Tableau replace static Excel chats, saving an additional 3 hours per month. Overall, this integration saves 13 hours monthly and improves accuracy by 30%.

Unsure if Python, or PyFi is right for you? 

Hear from PyFi students.  Be Certain in your decision.

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The PyFi Guarantee

We offer a 100%, no questions asked, 30 day money-back guarantee to completely de-risk your investment. Enroll now, and if for any reason you aren't completely satisfied, send us an email and you'll get a full refund for up to one month after enrollment.

How does Python Fundamentals™  work?

orientation

Orientation

Get setup in your coding environment and start writing your first lines of code in under 30 minutes. Setup your environment and quickly understand how to command basic functions that you’ll build on throughout the course.

Build on your existing foundation with excel analogs

By relating lessons and techniques to concepts finance professionals are already familiar with, PyFi courses deliver higher retention rates and a more efficient learning process. Writing Python is very similar to building financial models in Excel. PyFi builds off this foundation.
build
Practical

Practical application

The Python programming language is an immense topic to cover. There are many things you can learn and even more ways you can apply Python which are not relevant to you as a finance professional. PyFi teaches you what you need to know to be effective in your work without needing to pursue a formal computer science degree.

Apply proven solutions to your work

Because Python is open source, you’re able to apply working libraries, or frameworks, to your work with simple commands. Imagine downloading sophisticated financial models you could simply plug your data into. That’s exactly what’s possible with the Python programming language and PyFi gets you started by plugging the NumPy and Pandas library directly into your financial analysis.
Library

By the end of the course you will...

Understand how Python and Machine Learning can be used in the world of finance to double the accuracy of your predictive models and gain efficiencies in your work not possible with Excel alone

Become familiar and comfortable with coding envrionments

  • Use Jupyter Notebook to write and execute code
  • Perform calculations
  • Generate outputs with static text and dynamic values
  • Create and manipulate variables

Identify common types of Python objects

  • Create and manipulate important data structures
  • Lists, Tuples, Sets, and Dictionaries

Use python arguments

  • Create custom functions
  • Repeat tasks through iterable objects using for loops
  • Incorporate conditional logic using if statements

Become familiar with Python libraries starting with NumPy

  • Create and manipulate NumPy arrays, a new type of Python object
  • Perform special NumPy array math and aggregation functions
  • Leverage NumPy's useful randomization tools
Become familiar with the Pandas library
  • Create and manipulate Pandas DataFrames
  • Create and manipulate Pandas Series
  • Filter data using boolean masks
  • Segment and summarize data by class with groupbys
$99.00 USD
$149.00 USD
  • 99% Satisfaction Rate

  • 30-day Money Back Guarantee

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Curriculum

Python Fundamentals is approximately 3.5 hours in length. A student can generally complete the course in 6-10 hours when working through all of the exercises. Your enrollment comes with lifetime access and support within the course via a comment section under each video lesson.

Python Fundamentals

Introduction to Python

Setting Up Your Coding Environment: 
We will walk you through setting up your coding environment step-by-step, including downloading the Anaconda distribution system and getting familiar with Jupyter Notebooks.

Performing Calculations: 
You will learn how to use Python to perform basic mathematical calculations.

Generating Outputs with Static Text and Dynamic Values: 
You will learn to incorporate text into your Python code and generate outputs with dynamic values.
  • Module Files Zip:  PF 01 Jupyter Notebook 
  • PF 01.01 Course Introduction 
  • PF 01.02 Downloading Anaconda (Updated 11.07.23) 
  • PF 01.03 Introducing Jupyter Notebook 
  • PF 01.04 Calculations 
  • PF 01.05 Exercise 
  • PF 01.05 Solution 
  • PF 01.06 Mathematical Operators 
  • PF 01.07 Text Outputs 
  • PF 01.08 Dynamic Outputs 
  • PF 01.09 Exercises 
  • PF 01.09 Solution 
  • PF 01.10 Variables 
  • PF 01.11 Exercise 
  • PF 01.11 Solution 
  • PF 01.12 Review

Python Objects

Python Objects: 
Python is an object-oriented programming language, which means that Python code is organized around objects, or pieces of data that interact with each other based on instructions written in the code.

Data Structures: 
In this section, you will learn about data structures - types of Python objects that help you to organize other objects. Examples include lists, tuples, sets, and dictionaries.
  • Module Files Zip: Jupyter Notebook 
  • PF 02.01 Python Object Types 
  • PF 02.02 Exercise 
  • PF 02.02 Solution 
  • PF 02.03 Lists 
  • PF 02.04 Accessing List Objects 
  • PF 02.05 Exercise 
  • PF 02.05 Solution 
  • PF 02.06 Changing List Objects 
  • PF 02.07 More List Functions 
  • PF 02.08 Exercise 
  • PF 02.08 Solution 
  • PF 02.09 Tuples 
  • PF 02.10 Sets 
  • PF 02.11 Using Sets to Remove Duplicates 
  • PF 02.12 Set Operations 
  • PF 02.13 Exercise 
  • PF 02.13 Solution 
  • PF 02.14 Dictionaries 
  • PF 02.15 Accessing Dictionary Items 
  • PF 02.16 Exercise 
  • PF 02.16 Solution 
  • PF 02.17 Dictionary Functions 
  • PF 02.18 Exercise 
  • PF 02.18 Solution 
  • PF 02.19 Review

Custom Functions

Creating Custom Functions: 
In addition to Python's built-in functions (similar to Excel's built-in functions), you can create custom functions that allow you to package and reuse your own custom code.

Repeating Tasks through Iterable Objects: 
Learn how to automate tedious tasks by repeating actions through iterable objects using variables and For Loops.

Incorporating Conditional Logic:
Write more complex and useful applications that evaluate and respond to conditions that you define.
  • PF.03 Module Files: Jupyter Notebook 
  • PF 03.01 Creating Custom Functions 
  • PF 03.02 Exercise 
  • PF 03.02 Solution 
  • PF 03.03 Adding Arguments 
  • PF 03.04 For Loops 
  • PF 03.05 Exercise 
  • PF 03.05 Solution 
  • PF 03.06 Filing a List For Loop 
  • PF 03.07 Exercise 
  • PF 03.07 Solution 
  • PF 03.08 Conditional Logic 
  • PF 03.09 Exercise 
  • PF 03.09 Solution 
  • PF 03.10 Review

Numpy

Importing Open-Source Packages:
Instead of building everything on your own, learn to leverage the work of others by importing third-party packages.​

NumPy Arrays: 
Get familiar with creating and manipulating a powerful new type of Python object: The NumPy Array.​

Powerful Statistical Tools: 
Use NumPy's powerful statistical functions to quickly and easily analyze large quantities of data.
  • PF 04. Module Files: Juptyer Notebook 
  • PF 04.01 Importing Libraries 
  • PF 04.02 NumPy 
  • PF 04.03 NumPy Arrays 
  •  PF 04.04 Multidimensional Arrays 
  • PF 04.05 Exercise 
  • PF 04.05 Solution 
  • PF 04.06 Reshape and Transpose 
  • PF 04.07 Selecting Objects 
  • PF 04.08 Exercise 
  • PF 04.08 Solution 
  • PF 04.09 Array Calculations 
  • PF 04.10 Array Functions 
  • PF 04.11 Exercise 
  • PF 04.11 Solution 
  • PF 04.12 The Random Module 
  • PF 04.13 Setting a Random Seed 
  • PF 04.14 Random Sampling with .choice() 
  • PF 04.15 Generating Sequences 
  • PF 04.16 Exercise PF 04.16 Solution 
  • PF 04.17 Review

Pandas

Two New Python Objects: 
Pandas provides you with two new Python objects, the DataFrame and the Series, which you can use to import and manipulate data from your Excel files.

​Filtering Data with Boolean Masks:
Use the Boolean object type to create indicator variables, test conditions, and filter your data.

Segmenting with Groupby: 
Segment and summarize your data across categories using the useful .groupby() function.
  • Module Zip Files: Juptyer Notebook, Stock Data 
  • PF 05.01 Pandas 
  • PF 05.02 Importing Data 
  • PF 05.03 Import From .csv 
  • PF 05.04 Get to Know Your Dataframe 
  • PF 05.05 Exercise 
  • PF 05.05 Solution 
  • PF 05.06 Summary Statistics 
  • PF 05.07 Exercise 
  • PF 05.07 Solution 
  • PF 05.08 Series 
  • PF 05.09 Series Functions 
  • PF 05.10 Feature Engineering 
  • PF 05.11 Exercise 
  • PF 05.11 Solution 
  • PF 05.12 Boolean Masks 
  • PF 05.13 Indicator Variables 
  • PF 05.14 Exercise 
  • PF 05.14 Solution 
  • PF 05.15 Segmenting with .groupby() 
  • PF 05.16 Exercise 
  • PF 05.16 Solution 
  • PF 05.17 Review

Certification Exam

Verify Your Learning: 
Put your new Python skills to the test to see what you have learned and ensure retention.

Boost Your Resume: 
Add an impressive certification to your resume to demonstrate your new skills to employers.

Complete the Prerequisite to Applied Machine Learning: 
After completing Python Fundamentals, you will have the necessary prerequisite knowledge to dive into more advanced topics like Applied Machine Learning.
  • Jupyter Notebook (Exam Questions) 
$99.00 USD
$149.00 USD
  • Lifetime Access

  • Instructor Support

  • 30-day Money Back Guarantee

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Completion Certificates

After completing each course and passing the certification exam, students will be granted a PyFi Certification for that specific course. Use these certificates as a signal to employers that you have the technical skills to immediately add value to your team.

Meet Your Instructor

Zach_Headshot

Zach Washam

EX - Wells Fargo

While learning Python as an investment banker, Zach made an interesting observation: Python programming had a lot in common with the Excel models he made at work. By thinking of Python like Excel, Zach quickly learned the coding language and invented Wells Fargo Securities' first machine learning algorithm for investment banking and capital markets. 

After submitting two algorithms for patent protection and winning Wells Fargo's 2018 "Local Sphere Innovation Award," Zach left investment banking to launch PyFi.

Now, Zach’s courses have been delivered to thousands of finance students and professionals around the world.
LIMITED TIME OFFER

Python Fundamentals

4-8Stars
$99.00 USD
$149.00 USD
Learn Python for Finance and command bigger bonuses, earlier promotions, and the best exit opportunities.

You do not need programming skills to begin. The course teaches you the fundamentals of Python by building off your current excel skill set. By an investment banker for investment banking and finance professionals.
  • Trusted by Top Global Banks
  • Award-Winning Algorithms
  • Instructor Support
  • Elite Professional Training
  • 99% Satisfaction Rate
  • 30-day Money Back Guarantee 
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*These banks have used one or both of PyFi’s self-study courses to introduce their financiers to Python programming and its application in the world of finance.

How Can We Help You?

What makes PyFi courses unique?

PyFi's Python training is custom-tailored for finance professionals, and we know that you are not starting from scratch - even if you have never coded before.

By building new Python skills on top of your existing Excel knowledge, you will learn to code more quickly and easily while also retaining more of what you learn.

Top financial institutions choose PyFi to train their finance professionals because no other program can beat our results.

How long does it take to complete a course?

Our courses are designed for busy finance professionals, so we aim to give you maximum results in the minimum amount of time.

Each of our courses take between 5-10 hours to complete. You can easily complete each course over a weekend or, working one hour a day for a few weeks.

How will learning Python help my finance career?

New technology is changing the finance industry. For you, this change is both an opportunity and a threat. If you learn to write Python code, you can stand out and get ahead in your career. If you don't learn Python now, you risk getting left behind.

Python's powerful analytical capabilities make many of Excel's functions obsolete, and open-source machine learning packages support predictive analysis that is simply not possible with legacy tools like Excel.In the hyper-competitive finance industry, Python and Machine Learning skills are quickly becoming a necessity.

What if I don't like the course?

PyFi offers a no questions asked, 30 day money-back guarantee. If you aren't completely satisfied with the course, send us an email and we will refund your money up to one month after you enroll.

How can we afford to do this? Because fewer than 1% of our customers ask for refunds. PyFi provides the best Python training on the market, and we know you are going to love it.
Have any questions? We’re ready to help!

How Can We Help You?

What makes PyFi courses unique?

If you're looking to learn general Python this might not be the right class for you.

But if you'd rather understand how Python can be used in the world of finance, instead of building some irrelevant game, and if you'd like to learn the skills needed to build your own tools, then you're in the right place.

PyFi is built specifically for professionals in the world of finance and teaches you by relating concepts to excel so that you can learn faster and retain more of what you learn.

How long does it take to complete a course?

Python Fundamentals is approximately 3.5 hours in length each. A student can generally complete the course in 6-10 hours when working through all of the exercises. Your enrollment comes with lifetime access and support within the course via a comment section under each video lesson.

How will learning Python help my finance career?

Firms are in the business of making profit, whether thats a bank, a fund, a corporation, etc. They hire you based on your ability to provide disproportionate value to them and their goals, a value that exceeds the cost of your salary. As technology changes, the level of demand of employee output continues to rise. In a pool of many talented candidates, having a competitive advantage that can make you more efficient and effective in your workflows and can make your predictive models more accurate means the value you are able to provide to your firm will be significantly greater than your contemporaries. Python is a competitive advantage in finance. In fact, more and more positions are preferring or requiring this skill to even be considered for the role in the first place.

What if I don't like the course?

PyFi offers a no questions asked, 30 day money-back guarantee. If you aren't completely satisfied with the course, send us an email and we will refund your money up to one month after you enroll.

How can we afford to do this? Because fewer than 1% of our customers ask for refunds. PyFi provides the best Python training on the market, and we know you are going to love it.

Do I need to work from a specific OS?

No. You can work through PyFi content from any OS. 

Whats included in Python Fundamentals.

The full Python Fundamentals course which includes working notebooks for your use and instructor support in the comment section of each lesson.

Do I need to understand investing and portfolios to take the courses?

The finance specific topics that are discussed in the courses can be picked up as you work through each topic. 
Have any questions? We’re ready to help!