Non-Award
This course equips professionals with tools and skills to analyze customer behavior using quantitative modeling and data analytics, enhancing marketing strategies and conversion rates.
Use Excel to create forecast models for your market using your existing data.
Gain contemporary skills and knowledge for your job now.
In our ever-changing digital world, customer interactions with brands across multiple touchpoints leave trails of valuable digital data.
Analysing this data helps us understand complex decision journeys taken by consumers and helps organisations improve their customer conversion rates.
This online micro-credential will equip you with essential tools and skills to generate insights about customer behaviour through quantitative modelling processes and data analytics so you can focus your efforts on reaching your key target markets.
Taught by leading experts in business analytics, this six-week course is ideal for professionals in the marketing industry, including marketing performance specialists, insights analysts, and data analysts.
It is recommended that learners commencing this micro-credential are familiar with qualities and characteristics of data, have worked with datasets, and have basic-to-intermediate data analysis skills.
Gain contemporary skills and knowledge for your job now.
In our ever-changing digital world, customer interactions with brands across multiple touchpoints leave trails of valuable digital data.
Analysing this data helps us understand complex decision journeys taken by consumers and helps organisations improve their customer conversion rates.
This online micro-credential will equip you with essential tools and skills to generate insights about customer behaviour through quantitative modelling processes and data analytics so you can focus your efforts on reaching your key target markets.
Taught by leading experts in business analytics, this six-week course is ideal for professionals in the marketing industry, including marketing performance specialists, insights analysts, and data analysts.
Gain essential modelling skills to analyse, interpret, and predict the impact marketing decisions will have on your future business strategies. Discover how to implement time series models to accurately measure and predict consumer behaviour with your products and services over time.
Be guided in how to leverage marketing mix modelling techniques to assess your organisation's key business drivers. Learn how to aggregate, analyse, and interpret customer datasets using appropriate statistical modelling to gain insights on customer behaviour so you can plan better marketing mix and optimise your marketing budget.
Focus on the application of time series models to forecast the future based on historical temporal customer data to enable better planning and objective assessment of the effectiveness of your marketing campaigns.
Customer Behaviour: Statistical Analysis, Insight and Prediction is ideal for a range of professionals employed in marketing and customer experience, including marketing specialists, market researchers, insights analysts, digital analytics specialists, product managers, and UX designers.
Customer Behaviour: Statistical Analysis, Insight and Prediction is ideal for a range of professionals employed in marketing and customer experience, including marketing specialists, market researchers, insights analysts, digital analytics specialists, product managers, and UX designers.
It is recommended that learners commencing this micro-credential are familiar with qualities and characteristics of data, have worked with datasets, and have basic-to-intermediate data analysis skills.
Customer Behaviour: Statistical Analysis, Insight, and Prediction builds on the skills and learning objectives introduced in Developing Insights from the Online Customer Journey and Comparative Analysis of Customer Data.
This 100% online micro-credential will give you a stronger understanding of regression analytics in the context of marketing mix modelling.
Learn to evaluate different types of customer data across a range of touchpoints connected to your brand. Understand how data points interact and pinpoint the most significant trends in your customer's path to purchase.
Complete this course and use regression analysis techniques in your organisation to predict and boost future sales, enhance your marketing campaigns, and gain greater oversight of your budgeting and forecasting.
By the end of this course, you'll have a deeper understanding of statistical modelling in digital marketing.
This micro-credentials runs over 6 weeks.
Your total time commitment will be approximately 42 hours, which includes:
Assessment:
The Marketing Research and Analytics series provides learners with a pathway into the Master of Digital Marketing. To use it in this way, you need to complete all four micro-credentials in the Marketing Research and Analytics series, then apply for credit towards this postgraduate course.