Data Analytics in Marketing
Dive into the world of Data Analytics in Marketing with our dynamic course. Master analytical frameworks and tools that drive powerful insights and strategies. Harness big data, conduct A/B testing, predict trends with regression models, and optimize social media engagement. Protect consumer privacy while maximizing customer lifetime value. Elevate your marketing prowess with actionable intelligence garnered from machine learning algorithms.
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Corporate Pricing
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Training Provider Pricing
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What you'll learn
- Learn to segment markets and forecast sales using predictive analytics
- Explore machine learning applications in marketing for strategic advantage
- Understand the role of data analytics in modern marketing
- Apply linear regression techniques to predict market trends
- Gain proficiency in statistical software for effective data management
- Design and execute impactful A/B tests for campaign optimization
- Segment and target audiences through sophisticated customer analytics
- Develop robust pricing strategies informed by price elasticity studies
Why should you attend?
Data Analytics in Marketing is a transformative course designed to empower marketing professionals with cutting-edge analytical tools and techniques. This course bridges the gap between traditional marketing strategies and data-driven decision making, ensuring that participants are equipped to handle the complexities of modern marketing landscapes. Learners will delve into the essentials of market analytics, including segmentation and price analysis, while gaining an understanding of predictive analytics and big data. The curriculum offers hands-on experience with statistical software packages for data manipulation and introduces foundational concepts like A/B testing and linear regression for prediction. Participants will also learn to develop pricing strategies through price elasticity analysis, segment and target customers using customer analytics, and leverage social media insights effectively. Ethical considerations around information privacy are addressed, preparing marketers to navigate the digital world responsibly. Additionally, the course covers advanced topics such as customer lifetime value calculation, prediction study design, conjoint analysis for new product development, time series analysis for forecasting, and machine learning techniques for comprehensive data analysis.
Course Syllabus
Short Break
15 minsShort Break
15 minsRecap and Q&A
15 minsLunch
1 hourShort Break
15 minsShort Break
15 minsShort Break
15 minsRecap and Q&A
15 minsEnd of Day 1
Short Break
15 minsShort Break
15 minsRecap and Q&A
15 minsLunch
1 hourShort Break
15 minsShort Break
15 minsShort Break
15 minsRecap and Q&A
15 minsEnd of Day 2
Ratings and Reviews
Course Reviews
Wow! This course was done very well and easy to explain I will be recommending it to my colleagues too!
Why should you attend?
Data Analytics in Marketing is a transformative course designed to empower marketing professionals with cutting-edge analytical tools and techniques. This course bridges the gap between traditional marketing strategies and data-driven decision making, ensuring that participants are equipped to handle the complexities of modern marketing landscapes. Learners will delve into the essentials of market analytics, including segmentation and price analysis, while gaining an understanding of predictive analytics and big data. The curriculum offers hands-on experience with statistical software packages for data manipulation and introduces foundational concepts like A/B testing and linear regression for prediction. Participants will also learn to develop pricing strategies through price elasticity analysis, segment and target customers using customer analytics, and leverage social media insights effectively. Ethical considerations around information privacy are addressed, preparing marketers to navigate the digital world responsibly. Additionally, the course covers advanced topics such as customer lifetime value calculation, prediction study design, conjoint analysis for new product development, time series analysis for forecasting, and machine learning techniques for comprehensive data analysis.
What you'll learn
- Learn to segment markets and forecast sales using predictive analytics
- Explore machine learning applications in marketing for strategic advantage
- Understand the role of data analytics in modern marketing
- Apply linear regression techniques to predict market trends
- Gain proficiency in statistical software for effective data management
- Design and execute impactful A/B tests for campaign optimization
- Segment and target audiences through sophisticated customer analytics
- Develop robust pricing strategies informed by price elasticity studies
Course Syllabus
Short Break
15 minsShort Break
15 minsRecap and Q&A
15 minsLunch
1 hourShort Break
15 minsShort Break
15 minsShort Break
15 minsRecap and Q&A
15 minsEnd of Day 1
Short Break
15 minsShort Break
15 minsRecap and Q&A
15 minsLunch
1 hourShort Break
15 minsShort Break
15 minsShort Break
15 minsRecap and Q&A
15 minsEnd of Day 2
Course Reviews
Wow! This course was done very well and easy to explain I will be recommending it to my colleagues too!
Public Pricing
Corporate Pricing
Pax:
Training Provider Pricing
Pax:
Features
Subsidies
Ratings and Reviews
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