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Become a Marketing Analytics Pro

Are you a student looking to set yourself apart from your peers? Are you looking to break into social media marketing? Do you want to become an expert in marketing analytics? If so, then this course is for you! In this course, we'll teach you everything you need to know to become an expert in market
  • Training Type
    Live Training
  • Category
    Marketing Fundamentals
  • Duration
    4 Hours
  • Rating
    4.9/5
Become a Marketing Analytics Pro

Course Introduction

About the Course

In this practical and interactive webinar, you will work along with the instructor. As you progress through the provided spreadsheet of exercises, you will learn how to use Excel to make sense of marketing data.

Course Objective

Most marketing departments are awash in data. In this course you will learn how to describe and summarize marketing data, price products, and forecast product sales.

Who is the Target Audience?

Entrepreneurs

Social media professionals

Marketing professionals

Marketing students

Digital advertisers

Marketing executives or managers

Brand executives or managers

Product owners

PR and communications professionals

Students planning to enter the marketing or data analytics field

Anyone involved in marketing or communications!

Basic Knowledge

This is an intermediate level class. Attendees should be familiar with Excel and use it on a regular basis, at least weekly.

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Call Us : +510-849-6155
Email : support@simplivlearning.com

Available Batches

There are no upcoming batches. You can Enroll for a recorded sessions.

Pricing

Live
Single Attendee
149 249
Live Session
Recorded
Single Attendee
199 332
6 month Access for Rec
Live+Recorded
Single Attendee
249 416
6 month Access for Rec
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Curriculum
Total Duration : 4 Hours
Using charts to summarize marketing data.
Using Pivot Tables to summarize marketing data.
Using Excel functions to summarize marketing data.
Estimating demand cures and product pricing.
Using Multiple regression to forecast sales.
Forecasting in the presence of special events.
Forecasting with trend and seasonality
Logistic regression
Bundling and Nonlinear pricing.
Cluster Analysis
Forecasting new product sales with the Bass model, Gompertz, and Logistic Models.
Using conjoint analysis to understand your customer.
Calculating customer value.
Discriminant analysis.