Prerequisite: None

Course Outline

Accurate forecasts are the Holy Grail of data analytics. Why?

Because every organization uses forecasts to plan its activities:

• Short-term forecasts are used for scheduling staff and customer service.
• Medium-term forecasts are used for purchasing supplies and materials.
• Long-term forecasts are used for strategic decision-making.

If your team is serious about making an impact using data, you can’t go wrong learning how to craft robust forecasts. This course teaches the fundamentals of crafting forecasts using Python.

First, you will learn simple forecasting methods, such as moving averages.

Next, you will learn why these simple forecasting methods are usually insufficient in modern organizations.

Finally, you will learn state-of-the-art forecasting using machine learning models, including how to include factors like promotions for more accurate predictions.

This course is designed for ANY professional to build valuable forecasting skills. While the course covers some math, it is not beyond the high school level (e.g., no calculus or statistics are required).

Your Team Will Learn

• What is time series forecasting?
• The factors that impact forecasts.
• How to evaluate your forecasting.
• Simple forecasting methods with Python.
• Why simple methods are usually not enough.
• Why machine learning is the future of forecasting.
• How to use machine learning models for forecasting.
• Resources to continue your learning.

Geared To

• Business and data analysts
• BI and analytics developers and managers
• Business users
• Aspiring data scientists
• Anyone interested in crafting useful forecasts

No background in advanced mathematics or statistics is required.

Prerequisites

This course requires basic knowledge of Python and Jupyter Notebooks, which can be acquired by completing a complimentary Python Quick Start online tutorial from TDWI.

This course assumes knowledge of machine learning using decision trees and random forests as covered in TDWI’s “Introduction to Machine Learning” two-day workshop.

Laptop Setup

Attendees must have a laptop computer with the required software installed before the session. In advance of the class, attendees will receive detailed instructions on downloading and installing the software.