Normally $997
+ $12,000 in LAUNCH BONUSES
(The Fisher House Foundation)
Python For Machine Learning & API's
($997)
Python For Data Science Automation
($697)
2 Shiny For Python Apps
($9,997)
First 100 Students: Python Mug
(Priceless)
First 10 Students: 1-On-1 Coaching Call
($997)
30 Day Money Back Guarantee
10% of Proceeds Goes to The Fisher House Wounded Soldiers Charity
In 2022, the world believed what we had was a secret sauce, magic power, or a little bit of both.
There was mystery to what we did.
We were the bleeding edge of tech.
We had the reputation of having the big salaries.
We were the masters of Machine Learning, AI, & Deep Learning.
When normal people heard the words “data science” they knew what we did was difficult, complex, and time consuming.
They thought we were "doing things best left to the smart people of the world."
Then 2023 struck and the market shifted.
Record layoffs at tech companies.
Data science departments slashed.
Then ChatGPT emerged, showing people what advanced NLP could do.
Because of ChatGPT, everyone and their grandmother is now an “AI expert" and the shine about data science is gone.
Just “knowing how to code” isn’t impressive anymore.
One of my students said that because of ChatGPT, his wife thinks she can now code as well as him.
Just knowing python isn't impressive anymore.
What separates the boys from the men in 2023 is simple: Can you actually complete data science projects?
Why? Because…
On the flip side, there’s a small group of elite data scientists out there who can complete projects in 1/10th the time, and for a fraction of the cost of big data science teams.
And soon, their way of doing things will be the norm.
Who are these data scientists? Business Scientists.
They are the equivalent of data science consultants.
They work as 1 man (or 2 man) shows.
They come in, get the data, solve the problem, and collect a check.
The faster they complete the project, the faster the checks roll in.
And as a data science consultant myself, I know that every smart consultant gets a % of the money they generated for a company.
Which means on top of the $50,000 check you get, you also get 1-2% of the profit increase.
(So if you save a company $1,000,000 you’re collecting an extra $10,000 or $20,000 on top.)
Business Scientists are masters of project management, data science, and business.
And if YOU want to be a master data scientist, these are the skills you must have.
Which is why it took me 2 years to plan, design, and create my course: Python For Machine Learning & API’s.
This course is by far the best course I’ve put together and will streamline your process for completing data science projects.
Not to mention you’ll learn the best skills on building production-ready models, API’s and applications.
So whether you want to grow your career as a 1-man data science team OR become the ultimate team player (and the go-to data science leader in your company), then this is what you've been searching for.
This is the project you work through in Python For Machine Learning & API's.
This is a lead scoring problem for a multi-million dollar business and I'm going to show you how to solve the entire project yourself.
Avoid the mistake which causes 87% of data science projects fail.
Simulate the cost of the problem under different scenarios.
Discover how to provide a range for how much the problem is costing the organization.
How to connect tables to a sql database.
Create a full blown exploratory report in 1 line of code.
Discover how to gain insights to determine what increases the probability of customers making purchases.
Learn how to make special engineered features to help you clean, sort, and manage data.
Learn how to create association analysis reports to help your company discover new customer insights.
Discover the one key feature I use to determine a 2900% increase in purchase.
Use Pycaret to access 19 model algorithms including XGBoost, LightGBM and Catboost. (and then use Machine Learning with ALL 19 models.)
Discover how to tune models to stabilize predictions and increase performance.
Use my overlooked technique to select the right model for your analysis (And another method to find the most important features of your model.)
Find out WHY a model is predicting a customer to buy.
How to lead score customers based on probability of buying.
Discover how to create SciKit Learn Pipelines from scratch (plus how to tune them manually using GridSearch)
I have created a secret python code to make 100s of machine learning models in minutes (on top of that, I’ll also show you how to find the most accurate one.)
Learn how to log advanced models like H2O (and access the AutoML leader model).
How I created a monthly increase of $237,266 in new sales a month for a single company.
I show you the A-Z process for creating a stand alone app which allows ANYONE to use the algorithm you’ve created.
Get It Now And Save $400 + Bonuses
Module 0: Project, Environment, and VSCode Setup
Module 1: Jumpstart (Sales Analysis)
Module 2: Working with SQL Databases
Module 3: Pandas Deep-Dive (3+ Hours Training)
Module 4: Exploratory Analysis & Time Series Basics
Module 5: Functional Programming in Python
Module 6: Building ARIMA Time Series Models with Sktime
Module 7: Data Visualization Deep-Dive (3+ Hours Training with Plotnine)
Module 8: Writing An Analysis To SQL Databases
Module 9: Automated Sales Reporting with Jupyter + Papermill
Module 10: Task Scheduling in Windows & MacOS
Row-wise filtering
Column Operations
Pivoting
Group By and Apply
Make an Exploratory Data Analysis Report (and identify data issues)
Grouped Time Series Resampling
Outlier Detection
Make a Custom "Summarize By Time" Function
Learn forecasting basics with sktime
Automate an ARIMA Forecasting Function
Learn 8 Types of Data Visualizations in the Deep Dive...
Scatter Plot
Line Plot
Bar Plot With Smoother
Horizontal Bar Plot
Density & Histograms
Box Plots
Put Your Analysis Into A Jupyter Report
Automate The Reporting With Papermill
Task Schedule to Run Reports Each Day, Week, Month, or at a Custom Time Automatically
Windows Task Scheduler
Mac Automator
"Your Python Course allowed me to gain the confidence in my everyday work."
"I've never felt comfortable in Python until now."
"I couldn't have done it this quickly without your courses."
"Thank you for your constant support and incredible material!"
"I've been using Python in production for 4 months, and I was headhunted for a new role."
"Starting the first week of December, I'll be a Senior Data Scientist [$150,000+ Position]"
Get It Now For FREE As A Bonus
Value: $4,999
The great thing about this Shiny For Python App is that you solve a completely different project than in the course... with the exact same process from the Python II Course!
And you solve a completely different problem: Which loans are likely to default (a $5,000,000+ problem for banks)
The loan scoring app comes with a complete project:
You get:
✅ Analysis File
✅ Shiny App
✅ Data
✅ Models
✅ Requirements
The HR Analytics App solves a $5,000,000 problem that company's face: Understanding Why Their Employees Are Leaving
You get:
✅ Analysis File
✅ Shiny App
✅ Data
✅ Models
✅ Requirements
It's probably when you're in the 3rd round of a job interview (when competition is the highest).
Who do you think is going to get the job if they have me in your back corner?
True story. Samantha locked down a 6-figure Shiny Data Engineer job with CVS Health...
And it only took 1 meeting with me to knock out her competitor in the 3rd round.
Python For Machine Learning & API's
($997)
Python For Data Science Automation
($697)
2 Shiny For Python Apps
($9,997)
First 100 Students: Python Mug
(Priceless)
First 10 Students: 1-On-1 Coaching Call
($997)
30 Day Money Back Guarantee