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This course does not involve any written exams. Students need to answer 5 assignment questions to complete the course, the answers will be in the form of written work in pdf or word. Students can write the answers in their own time. Each answer need to be 200 words (1 Page). Once the answers are submitted, the tutor will check and assess the work.


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Course Credit: Univercity of Virginia

Course Curriculum

lec1 Why Marketing Analytics 00:05:00
lec2 Course Overview 00:02:00
lec3 Introduction to the Marketing Process 00:03:00
lec4 Airbnbs Marketing Process 00:07:00
lec5 Airbnbs Strategic Challenge 00:02:00
lec6 Airbnbs Marketing Strategy with Data 00:04:00
lec7 Using Text Analytics 00:04:00
lec8 Utilizing Data to Improve Marketing Strategy 00:04:00
lec9 Introduction to Metrics for Measuring Brand Assets 00:01:00
lec10 Snapple and Brand Value 00:06:00
lec11 Developing Brand Personality 00:04:00
lec12 Brand Personality Red Bull 00:01:00
lec13 Developing Brand Architecture 00:06:00
lec14 Brand Architecture Red Bull 00:03:00
lec15 Brand Architecture Etch A Sketch 00:03:00
lec16 Measuring Brand Value 00:10:00
lec17 Measuring Brand Value Key Points 00:01:00
lec18 Revenue Premium as a Measure of Brand Equity 00:06:00
lec19 Calculating Brand Value Snapple 00:05:00
lec20 Welcome to Week3 00:01:00
lec21 Customer Life time Value CLV 00:05:00
lec22 Customer Life time Value Netflix 00:03:00
lec23 Calculating CLV 00:07:00
lec24 Understanding the CLV Formula 00:03:00
lec25 Applying the CLV Formula Netflix 00:07:00
lec26 Extending the CLV Formula Part1 00:08:00
lec27 Extending the CLV Formula Part2 00:04:00
lec28 Using CLV to Make Decisions IBM 00:04:00
lec29 CLVA Forward Looking Measure 00:03:00
lec30 Welcome to Week4 00:01:00
lec31 Determining Cause and Effect through Experiments 00:04:00
lec32 Designing Basic Experiments 00:07:00
lec33 Designing Before After Experiments 00:06:00
lec34 Designing Full Factorial Web Experiments 00:04:00
lec35 Designing an Experiment Etch A Sketch 00:03:00
lec36 Analyzing an Experiment Etch A Sketch 00:08:00
lec37 Analyzing an Experiment Betty Spaghetty 00:05:00
lec38 Projecting Lift 00:03:00
lec39 Calculating Projected Lift Betty Spaghetty 00:06:00
lec40 Pit falls of Marketing Experiments 00:03:00
lec41 Maximizing Effectiveness Nanoblocks 00:08:00
lec42 Welcome to Week5 00:02:00
lec43 Using Regression Analysis 00:02:00
lec44 What Regressions Reveal 00:05:00
lec45 Interpreting Regression Outputs 00:10:00
lec46 Multivariable Regressions 00:06:00
lec47 Omitted Variable Bias 00:06:00
lec48 Using Price Elasticity to Evaluate Marketing 00:07:00
lec49 Understanding Log Models 00:06:00
lec50 Marketing Mix Models 00:07:00
Submit Your Assignment 00:00:00
Certification 00:00:00

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