Mastering Marketing Analytics Forecasting Models Using Excel & Strategy to Application Course Overview

To successfully undertake training in the Mastering Marketing Analytics Forecasting Models Using Excel & Strategy to Application course, students should possess the following minimum prerequisites:

• Basic proficiency with Microsoft Excel: Familiarity with Excel functions, formulas, and chart creation is essential, as the course involves extensive use of Excel for data analysis and modeling.
• Understanding of basic statistical concepts: Knowledge of statistics will be beneficial for understanding forecasting models and data analysis techniques.
• General business knowledge: An understanding of business operations and marketing principles will help in applying the analytical techniques effectively.
• Analytical thinking: The ability to think critically and analytically will assist in interpreting data and making informed decisions based on the analysis.
• Computer literacy: A comfortable level of computer usage for managing files, installing software, and navigating the operating system will ensure a smooth learning experience.

Please note that while these prerequisites are recommended, the course is designed to be accessible and may provide refreshers on essential skills. Motivated learners with a strong desire to develop their marketing analytics skills are encouraged to enroll and can benefit from the comprehensive learning modules provided.

Target Audience for Mastering Marketing Analytics Forecasting Models Using Excel & Strategy to Application

Master the art of predicting market trends with Excel in Koenig's course on Marketing Analytics Forecasting, designed for data-driven marketing professionals.

• Marketing Analysts
• Business Analysts
• Data Analysts
• Marketing Managers
• Sales Analysts
• Financial Analysts
• Market Research Analysts
• Product Managers
• Business Intelligence Professionals
• Data Scientists (seeking marketing insights specialization)
• Digital Marketing Specialists
• PPC (Pay-Per-Click) Specialists
• CRM (Customer Relationship Management) Analysts
• SEO (Search Engine Optimization) Strategists looking to enhance their analytical skills
• Entrepreneurs who manage their own marketing strategies
• Consultants offering services in marketing analytics and forecasting
• Brand Managers seeking data-driven decision-making skills
• E-commerce Managers
• Supply Chain Analysts (for demand forecasting)
• Academics and students in marketing or business analytics fields

Learning Objectives - What you will Learn in this Mastering Marketing Analytics Forecasting Models Using Excel & Strategy to Application?

Introduction to Course Learning Outcomes:

Gain expertise in marketing analytics through Excel by mastering forecasting models, regression analysis, handling seasonal trends, and developing marketing strategies. Implement practical solutions to real-world marketing problems.

Learning Objectives and Outcomes:

• Refresh Excel skills to effectively analyze marketing data and perform advanced functions.
• Understand the fundamental concepts and techniques of forecasting to predict market trends.
• Learn to create and interpret linear models and trendlines to forecast business metrics.
• Prepare data for regression analysis, including data cleaning, outlier treatment, and variable transformation.
• Develop proficiency in regression modeling using Ordinary Least Squares (OLS) and assess model accuracy through R-squared and other statistical measures.
• Handle special events like holiday sales in forecasting models to adjust for anomalous data points.
• Identify and incorporate seasonality and trends in forecasting models using additive and multiplicative approaches.
• Adapt to changing trends and seasonality over time with advanced methods like Winter’s method.
• Forecast new product success using S-curve, Logistic and Gompertz curves, and the Bass Diffusion Model.
• Apply Marketing Mix Modeling (MMM) to optimize marketing strategies and measure the impact of marketing initiatives using Excel.