Introduction to Analytics Modeling Training

Live Online & Classroom Enterprise Training

Learn essential analytics models and methods and how to appropriately apply them, using tools such as R, to retrieve desired insights.

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What is Introduction to Analytics Modeling Training about?

This course provides a practical introduction to analytics modeling, focusing on how data, mathematics, and statistics are used to build models that support business decision-making. Learners will explore different types of models, such as descriptive, predictive, and prescriptive, and understand how to select the right model for a given problem. With hands-on exercises and case studies, participants will gain the foundational skills required for deeper analytics and data science learning.

What are the objectives of Introduction to Analytics Modeling Training ?

Understand the role of analytics modeling in business decision-making.
Differentiate between descriptive, predictive, and prescriptive models.
Apply basic mathematical and statistical techniques for modeling.
Interpret model outputs to support actionable insights.
Recognize real-world use cases of analytics modeling.

Who is Introduction to Analytics Modeling Training for?

Students beginning their data and analytics journey.
Business Analysts exploring quantitative approaches.
Managers seeking to understand analytics-driven decisions.
IT professionals transitioning into analytics roles.
Professionals aspiring to pursue careers in data science.

What are the prerequisites for Introduction to Analytics Modeling Training?

Prerequisites:

Basic understanding of mathematics (algebra, probability).
Familiarity with Excel or any analytical tool.
Logical reasoning and problem-solving skills.
Basic knowledge of business processes.
Interest in applying data-driven methods to real problems.

Learning Path:

Introduction to Analytics and Modeling.
Types of analytics models: descriptive, predictive, prescriptive.
Mathematical and statistical foundations for modeling.
Case studies and real-world applications.
Next steps into advanced analytics and data science.

Related Courses:

Essential Statistics for Data Analysis using Excel
Data Science with Python Fundamentals
Predictive Analytics with R or Python
Business Analytics Fundamentals

Available Training Modes

Live Online Training

2 Days

Course Outline Expand All

Expand All

Module 1- Introduction to Analytics Modeling

Introduction to Validation

Validation and Test Data Sets

Splitting Data

Cross-Validation

Module 2- Basic Machine learning Algorithms

Introduction to Data Preparation

Outlier Detection

Dealing with Outliers

Introduction to Change Detection

CUSUM for Change Detection

Change-Detection Homework Followup

Module 3- Predictive Modeling

Evaluating Machine Learning Models

Optimizing Model Parameters

Introduction to Exponential Smoothing

Trends and Cyclic Effects

Exponential Smoothing: What The Name Means

Forecasting

ARIMA

GARCH

Module 4- Regression and Data Preparation Techniques

Box-Cox Transformation

De-Trending

Introduction to Principal Component Analysis

Using Principal Component Analysis

Eigenvalues and Eigenvectors

Who is the instructor for this training?

The trainer for this Introduction to Analytics Modeling Training has extensive experience in this domain, including years of experience training & mentoring professionals.

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