Transform Excel Expertise Into Python Proficiency In 3 Hours With The Exact Program Used By JP Morgan

With Python - Create any solution you need - EXACTLY how you need it. Any scale. Any complexity. 
No licensing fees. Ever. (Without Ditching Your Current Tools).

Works with Excel, Power BI, Tableau, Oracle, Bloomberg, etc.
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System Features

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    Your Investment is Risk-Free

    Lifetime Money Back Guarantee
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    Python Fundamentals Certification System

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    Bonus 1: Fundamentals Full Text

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    Bonus 2: Advanced Analytics Full Text

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    Lifetime access

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    Instructor Support

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    Trusted by Top Global Banks

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    No Coding Experience Necessary

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    10k+ Professionals Trained

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    30k+ Training Hours Completed


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    Lifetime access

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    Python For Finance Certification System

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    Bonus 1: Fundamentals Full Text

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    Bonus 2: Advanced Analytics Full Text

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    Instructor Support

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    Trusted by Top Global Banks

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    No Coding Experience Necessary

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    Lifetime Money Back Guarantee

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    10k+ Professionals Trained

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    30k+ Training Hours Completed

Transform Excel Expertise Into Python Proficiency In 3 Hours With The Exact Program Used By JP Morgan

With Python - Create Any Solution You Need - EXACTLY how you need it. Any scale. Any complexity. 
No licensing fees. Ever. (Without Ditching Your Current Tools).

Works with Excel, Power BI, Tableau, Oracle, Bloomberg, etc.

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System Features

  • Untitled_design_5_736a2df9-8e4b-4ba8-af71-e7cab107b568

    Your Investment is Risk-Free

    Lifetime Money Back Guarantee
  • Untitled_design_5_736a2df9-8e4b-4ba8-af71-e7cab107b568

    Python Fundamentals Certification System

  • Untitled_design_5_736a2df9-8e4b-4ba8-af71-e7cab107b568

    Bonus 1: Fundamentals Full Text

  • Untitled_design_5_736a2df9-8e4b-4ba8-af71-e7cab107b568

    Bonus 2: Advanced Analytics Full Text

  • Untitled_design_5_736a2df9-8e4b-4ba8-af71-e7cab107b568

    Lifetime access

  • Untitled_design_5_736a2df9-8e4b-4ba8-af71-e7cab107b568

    Instructor Support

  • Untitled_design_5_736a2df9-8e4b-4ba8-af71-e7cab107b568

    Trusted by Top Global Banks

  • Untitled_design_5_736a2df9-8e4b-4ba8-af71-e7cab107b568

    No Coding Experience Necessary

  • Untitled_design_5_736a2df9-8e4b-4ba8-af71-e7cab107b568

    10k+ Professionals Trained

  • Untitled_design_5_736a2df9-8e4b-4ba8-af71-e7cab107b568

    30k+ Training Hours Completed


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*These banks have used this exact PyFi training system to modernize their finance teams.

Your Current System Has Serious Problems

  • Time Consuming

    Time-Consuming & Manual Workflows - Reformatting dates, fixing text errors, merging datasets manually. 
  • Excel Dependency

    Heavy Dependency on Excel Workbooks - Fragile, crash-prone, and slow when handling large datasets
  • Workflow Breaks

    Workflow Breaks Between Systems - Pulling data from Bloomberg or ERP into Excel manually, no seamless flows
  • Limited Depth

    Shallow “Surface-Level” Dashboards -
    BI tools show what happened, not why it happened
  • No Predictive Power

    No Predictive or Prescriptive Power - Can’t forecast, cluster, or run simulations in Excel/Tableau alone
  • Complex DataSets

    Inability to Combine and Analyze Complex Datasets - Difficult and error-prone when merging sources across systems
  • Human Error

    High Risk of Human Error - Broken formulas, hidden mistakes, version control problems
  • Collaboration Bottlenecks

    Collaboration Bottlenecks -Excel files shared over email; Tableau dashboards hard to modify collaboratively
  • Single-User Dependency

    Single-User Dependency - Only the creator understands how the model works

Python Is Your Customizable, Scalable, One System Solution -- No Licensing Fees

  • Integrate

    Integrate Seamlessly with Excel, Tableau, Oracle, Bloomberg, and more. Use Python to push data back into Excel or dashboards — Python becomes the hub between all tools.
  • Real TimeData Providers

    Connect Directly to Data Providers and ERPs - Pull REAL TIME DATA directly from APIs or database connectors — Bloomberg, Oracle, SQL, CSVs — without having to manually export/import.
  • Scalable

    Build a Scalable Analytics Foundation
    Instead of building one-off Excel files, use Python to create modular, repeatable systems that grow with your business needs.
  • Reusable tools

    Package Reusable Tools for the Entire Team - Write Python functions and notebooks that others can easily reuse, modify, and scale across teams or business units.
  • Custom Models

    Create Custom Models Tailored to Your Business - Go beyond dashboards: build forecasting models, scoring algorithms, and scenario simulations that fit your exact needs.
  • Hidden Trends

    Uncover Patterns Dashboards Miss - Use Python to run clustering, correlation analysis, or anomaly detection to find hidden trends and drivers in your data.
  • Reduce Human Error

    Reduce Human Error with Reproducible Code - Replace fragile spreadsheets with clean, version-controlled Python scripts — no broken formulas, no version confusion.
  • Clean at Scale

    Clean and Structure Data at Scale
    Use libraries like pandas to handle missing values, fix data types, standardize formats, and merge dataframes — all in seconds.
  • Accelerate

    Accelerate Your Reporting Workflow
    Schedule or trigger Python scripts that refresh dashboards, generate reports, and deliver outputs faster than Excel can load.

  • No Fees

    Leverage Powerful Libraries — No Licensing Required - Tap into thousands of pre-built solutions used by top analysts and data scientists worldwide. No extra fees. No hidden costs. No matter how big your team is. Just enterprise-grade capability without the enterprise price tag.
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Your Investment is Risk Free.

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The PyFi Guarantee. Not happy, for any reason, ever? Let us know and we'll refund you 100% of your hard earned capital. And we'll let you keep the training, because you're going to need it eventually anyways.

Unsure if Python, or PyFi is right for you? 

Hear from PyFi students.  Be Certain in your decision.

Increase your capabilities by 30, 50, and even 100% with Python: a customizable and scalable system that works with Excel, Power BI, Tableau, Bloomberg, CapIQ, etc. to automate redundant work and uncover hidden patterns in your data. 

Install systems in your work that mold to your existing tech stack and give you the freedom to produce exactly what you need. 

Join over 10,000 professionals in the finance function from senior analysts, finance managers, VPs of investments, to CFOs, who have taken PyFi training and become more effective in their work.

Join top banks like JP Morgan, Bank of America, Bank of Montreal, and Royal Bank of Canada who have used PyFi to introduce their employees to Python.

Click to enroll and let's begin.
LIMITED TIME OFFER

Python Fundamentals Certification System

$49.00 USD
$149.00 USD
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    30-day Money Back Guarantee
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    Trusted by Top Global Banks
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    Python Fundamentals Certification System
  • Untitled_design_6
    Bonus 1: Fundamentals Full Text
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    Bonus 2: Advanced Analytics Full Text
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    Designed for Finance Professionals
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    Instructor Support
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    No Coding Experience Necessary
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    Lifetime Access
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    99% Satisfaction Rate
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*These banks have used this exact PyFi training system to modernize their finance teams.

Objectives

Generate any solution your work demands.

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
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Your Investment is Risk Free.

Money-Back-Guarantee_1
The PyFi Guarantee. Not happy, for any reason, ever? Let us know and we'll refund you 100% of your hard earned capital. And we'll let you keep the training, because you're going to need it eventually anyways.

Curriculum

Sample Lesson

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 Exercises) 
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Completion Certificates

Prove your knowledge by completing PyFi's rigorous certification exams. 
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This program is perfect for...

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    Seasoned Finance Professionals

    You're time-poor and looking for a system that can drive efficiency, access deeper analytics, fit your existing tech stack, and scale across your team, and organization. 
  • Untitled_design_5_736a2df9-8e4b-4ba8-af71-e7cab107b568

    Experienced Excel Users

    You are a logical problem solver and an analytical thinker who is proficient in Excel.
  • Untitled_design_5_736a2df9-8e4b-4ba8-af71-e7cab107b568

    New Python Users

    You have never coded in Python before, or you want to review the basics before moving on to more advanced material.
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How Can We Help You?

What makes PyFi's system unique?

PyFi's training is custom-tailored for finance professionals with minimal to no coding experience, and time constraints.

The instructions are clear, delivered in plain English, only focuses on what you need to know for finance, and provides you with human support. 

We teach Python by building off your existing Excel skill set and focus on concepts relevant to you. We're not building rocket ships, we're teaching you how to work through finance workflows and develop systems for efficiency and scale. 

Now required by 10% of finance jobs, PyFi is the world's best resource for modernizing your skillset and preparing yourself for an AI embedded future. 

How will learning Python help my finance career?

Python is increasingly required by finance jobs and is seen as a necessary language to interact with AI. 

Python as a system is completely customizable and works with your current tech stack, and your next positions tech stack which allows you to achieve exactly and specifically what your work needs.

Because its free to use, and the most popular coding language in finance, the long tail effects of learning Python are only going to compound the return on your investment.

In the immediate term, you can plug into your current workflows involving Excel, BI tools, data providers, etc., to eliminate redundant steps while also improving the accuracy of your financial models.

With strong version control, you can build repeatable process into your team workflows that make not just you, but your whole group more efficient and really shining as a critical strategic leader

Imagine increasing team productivity by 30, or 50%, and doubling your models predictive power. 

This is the type of output companies are demanding and expecting from their employees and teams and as this demand increases, knowing Python will be required to maintain and continue your career trajectory. 

Whats included in the Python Fundamentals Certification System?

The program includes PyFi's world class Python Fundamentals Certification System which has been distributed to top banks acorss North America and over 10,000 students worldwide. 

You'll also receive access to two bonuses, the full text versions of the course and the full text version of our advanced program, "Applied Machine Learning."

The certification system includes instructor support.

At the end of each course, you'll be invited to take a rigorous certification exam to test your knowledge and ensure retention.

How long does it take?

Python Fundamentals is approximately 3 hours in length. Your enrollment comes with lifetime access and support within the course via a comment section under each video lesson.

What if I change my mind?

PyFi offers a 100% no questions asked, lifetime money-back guarantee. If you wake up in a cold sweat at 3AM in the year 2030, after being laid off during the AI revolution and you're staring at your windowless wall in downtown dystopia while coming to the disturbing conclusion that you didn't get your money's worth from PyFi all those years ago, just send us a message and we'll refund you in full. 

This is the best Python for Finance training system available. You're going. to love it, and more importantly, you're going to see strong result

Do I need to work from a specific OS?

No. You can work through PyFi's training content from any OS.

Why should I learn Python Instead of R, or Matlab?

The short - Python allows you to do everything that R or Matlab can do, but the same is not true for R or Matlab allowing you to do everything Python can do. The long - click here >>  Python vs Alternative Tools
Have any questions? We’re ready to help!
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Skipped straight to the bottom?

The short of it is that Python is a bridge between the world of finance today, and the radical transformation that's currently taking place and you're still early. You can increase the effectiveness of your work, scale solutions across your team and company, and position yourself as not just a spreadsheet operator or a finance manager but as a valued strategic partner. 

Python is the language of AI, and a way for firms to push the efficiency frontier out. To get more from their teams. And they are demanding more.

That's why 10% of finance jobs currently require Python skills. By the end of 2027 that number will be 60%. 

Python has $0 licensing fees, it can be customized to do exactly and specifically what you need, and works with any tool you're currently using. 

Today, I'm offering you the world's best Py (Fi) thon for Finance training. Developed first hand from the world of Investment Banking, and distributed to top banks across North America like JP Morgan, Royal Bank of Canada, Bank of Montreal, as well as to over 10,000 students across North America, Europe, and Asia from analysts to CFOs.

This transformative skill and world-class training can be yours, right now, for only $49. 

PyFi is Python for Finance. We're the best. And we back it by completely de-risking your investment with our 100% money back,no questions asked, lifetime guarantee. 

If you wake up in a cold sweat at 3AM in the year 2030, after being laid off during the AI revolution and you're staring at your windowless wall in downtown dystopia while coming to the distrubing conclusion that you didn't get your money's worth from PyFi all those years ago, just send us an email and we'll refund you in full. 

We're that confident. 

And if you're still uncertain about where Python fits in the world of finance, and how it fits into your work, read this   "Should Any FInance Professional Learn Python?"  
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