In-Person or Online Training

Introduction to Data Science

Fast-paced one day in-person training, online training options also available

Short Description
Quantifying business situations for forecasting and predictive modeling is an art and a science. This fast-paced course with hands-on participation is vendor neutral. It introduces and walks through a collection of descriptive, diagnostic, predictive and prescriptive techniques across the entire advanced analytics life-cycle with Open Source tools, R and Python.

Participants will gain an understanding of when to choose specific analytic techniques, algorithms and tools to solve common business problems. We will also dive into the critical importance of data preparation and sampling. After learning how to effectively develop models, we will cover evaluating models and embedding intelligent analytics into smart reports, dashboards and applications to deliver actionable insight.

Who Should Attend
This course is designed for data analysts, advanced Excel users and business intelligence developers that want to learn advanced analytics.

Learning Objectives

- Advanced Analytics Techniques and Tools
- Descriptive and Diagnostic Analytics Fundamentals
- Predictive Analytics and Data Mining
- Business Modeling for Prescriptive Analytics
- Embedding Analytics into Applications

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