Crafted for Business Analysts

that need to combine data science and programming

Python for data science automation is crafted for business analysts that need to learn Python for automating repetitive tasks and building data analysis software. This includes:

• BI Professionals: Analysts that are using Business Intelligence (BI) tools like Excel, Power BI, and Tableau that would like to take their skills to a whole new level
• R Users: Data Scientists and Analysts that use the R Language but need to learn Python for business to help co-integrate with Python teams.
• Python Beginners: Students that need to learn Python analytical programming through a business-focused course.

Learn by integrating tools inside a real forecasting project

This is a project-based course. You are part of the data science team for a hypothetical bicycle manufacturer. Management has charged the team with expanding the forecast reporting by customers, products, and different time-durations. This requires a new level of flexibility that is not currently available in the manual business process. You’ll need to learn Pandas and the Python ecosystem to help automate this forecasting project.

We teach you everything you need to know

No Prerequisites
We teach you everything you need to know.

For (Serious) Beginners
You should be open to learning programming for data science.

Project-Based
Learn python by building a forecasting and reporting system

You'll love learning this way.

Example of what you create

You'll make automated Jupyter Notebook reports that forecast:

• Customers
• Products
• By Time Period (Month, Quarter, Year)
• And any combination of these parameters you choose!

Three Streamlined Steps

Your path to learning Python for Data Science Automation

is simplified into 3 streamlined steps.

Part 2: Time Series Forecasting

In part 2, you:

• Focus on Pandas time series and forecasting with Sktime, a state-of-the-art forecasting library in python.
• Learn how to work with time series in pandas and how to make python functions that simplify repetitive tasks.
• Build much of the core software for your company’s forecasting automation.

Challenges & Cheat Sheets

Your learning is reinforced with:

• Workflow Diagram: Used to break down the business process into automation steps
• Cheat Sheets: Developed to make it easy to navigate the Python ecosystem
• Challenges: Designed to test your abilities & solidify your knowledge

Summary of what you get

A methodical training plan that goes from concept to automation ($3,000 value)

• Part 1: Foundations of Data Analysis
• Part 2: Time Series & Forecasting
• Part 3: Reporting & Automation
• Challenges, Diagrams, & Cheat Sheets
• Certificate (Upon Completion)
• 2 Valuable Bonuses: Automate Python Scripts with Windows Task Scheduler & Mac Automator

Learn Enterprise-Grade Tools

This course is designed to teach you using VSCode, a powerful development environment that will help you develop python software.

Why should you or your employee(s) take this course?

• Improve organizational results. Organizational results improve through making data-driven decisions. This course teaches students how to complete a end-to-end data science project with executive project deliverables. Students learn how to perform data analysis, become proficient at programming, build python software, and most importantly deliver results in the form of reports and data products that decision-makers can use to improve results.
• Gain a competitive advantage. Data is increasing faster than the number of people that can analyze it. Learning how to leverage python is the solution. Students learn data analysis in-depth helping your organization to stay ahead of the competition.
• Automate to reduce errors and expedite repetitive tasks. Not only will students learn the tools to perform data analysis, but they will also learn how to automate repetitive business processes that produce fewer errors and deliver stakeholder results on demand.
• Empower stakeholders to make better decisions. Whether the end-user is a customer or your organization's executive leadership, students learn how to make data products that help end-users make better decisions at the speed of python.