Excel Course for Marketers and Entrepreneurs

Excel is a powerful tool that can be used to improve the efficiency and success of marketing campaigns. By learning to use Excel at an advanced level for marketing tasks, marketers can gain a better understanding of their data and make smarter data-driven decisions.

This course aims to provide all the skills needed to maximize the potential of Excel in marketing activities. You will discover how to use specific functions and formulas to analyse marketing data, build data-driven strategies, evaluate campaign performance, and automate repetitive tasks.

Excel can be used to analyse a variety of marketing data, such as customer demographics, transaction data, and campaign performance data. By analysing this data, marketers can identify trends, opportunities, and problems, and make more informed decisions based on hard data.

Excel can also be used to automate repetitive marketing tasks and is an essential tool for any marketer who wants to be efficient in their activities.

WHO IS THIS COURSE FOR?

This course is designed for marketers, freelancers, or entrepreneurs who want to improve their Excel skills and use this tool to analyse marketing data, build data-driven strategies, and evaluate campaign performance. No prior in-depth knowledge of Excel is required, the trainer will explain each concept from scratch and provide detailed explanations.

COURSE DETAILS

• On demand
  
• 1-10 participants
  
• Standard price: £150/hour
  
• Location: online
  
• Duration: 2-4 hours
  
• Graduation certificate on completion of course

Course content

• Using formulas and functions for calculations and analysis
  
• Analysing marketing data with Excel
  
• Extracting marketing data from various sources
  
• PivotTables for quick and efficient data analysis
  
• Using charts and graphs to visualise and communicate information
  
• Building data-driven strategies
  
• Analysing trends and identifying marketing opportunities
  
• Using Excel for A/B testing and campaign optimisation
  
• Data-driven marketing decisions
  
• Evaluating campaign performance
  
• Analysing key performance indicators (KPIs) and measuring campaign success
  
• Using Excel to automate repetitive marketing tasks