| 1 - Introduction.mkv | 57.9 MB | ||
| 10 - Analyzing Customer Retention.mkv | 117.9 MB | ||
| 10 - AnalyzingCustomerRetention.csv | 708.1 KB | ||
| 11 - Analyzing Customer Lifetime Value.mkv | 82.1 MB | ||
| 11 - AnalyzingCLV.csv | 31.2 KB | ||
| 12 - Analyzing Web Traffic Data.mkv | 85.8 MB | ||
| 13 - Analyzing Web Conversion Rate.mkv | 61 MB | ||
| 14 - Customer Segmentation Analysis with Unsupervised Machine Learning.mkv | 141.2 MB | ||
| 15 - Performing AB Testing with SciPy.mkv | 67.4 MB | ||
| 16 - Predicting Customer Churn with CatBoost Classifier.mkv | 108.5 MB | ||
| 17 - Predicting Customer Lifetime Value with MLP Regressor.mkv | 96.2 MB | ||
| 18 - Visualizing Customer Demographics Data with PowerBI.mkv | 34.5 MB | ||
| 18 - VisualizingCustomerDemographicsPowerBI.png | 308.3 KB | ||
| 19 - Visualizing Marketing Campaign Performance Data with PowerBI.mkv | 33.6 MB | ||
| 19 - VisualizingMarketingCampaignPerformancewithPowerBI.png | 210 KB | ||
| 2 - Marketing-Analytics-AB-Testing.pptx | 1.7 MB | ||
| 2 - Table of Contents.mkv | 28.1 MB | ||
| 20 - Visualizing Web Traffic Data with PowerBI.mkv | 33.2 MB | ||
| 20 - VisualizingWebTraffic.png | 150.4 KB | ||
| 21 - Conclusion Summary.mkv | 19 MB | ||
| 3 - Whom This Course is Intended for.mkv | 19.9 MB | ||
| 4 - Tools IDE and Resources.mkv | 83.1 MB | ||
| 5 - Introduction to Marketing Analytics AB Testing.mkv | 64 MB | ||
| 5 - Marketing-Analytics-Workflow.png | 369.9 KB | ||
| 6 - Analyzing Marketing Campaign Performance.mkv | 203.9 MB | ||
| 7 - Segmenting Customer Data.mkv | 110.1 MB | ||
| 7 - SegmentingCustomerData.csv | 51.5 KB | ||
| 8 - Calculating ROI Comparing Initial Marketing Budget vs Actual Spend.mkv | 34.5 MB | ||
| 8 - ROIcalculation.csv | 307.2 B | ||
| 9 - Conducting Basic AB Testing.mkv | 69 MB | ||
| Bonus Resources.txt | 102.4 B | ||
| Get Bonus Downloads Here.url | 204.8 B | ||
| ▲ 32 total files | |||
Marketing Analytics & A/B Testing With Excel Python Powerbi
https://WebToolTip.com
Published 6/2025
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 1.52 GB | Duration: 3h 27m
Analyzing marketing campaign performance, web traffic, customer graphics, customer retention, CLV, CVR, A/B testing
What you'll learn
Learn the basic fundamentals of marketing analytics and A/B testing
Learn about important marketing metrics, such as conversion rate, customer acquisition cost, ROI, click through rate, and customer lifetime value
Learn how to analyze marketing campaign performance
Learn how to calculate ROI and compare initial marketing budget vs actual spend
Learn how to analyze customer retention
Learn how to analyze customer lifetime value
Learn how to analyze web traffic data
Learn how to analyze web conversion rate
Learn how to conduct customer segmentation analysis using unsupervised machine learning
Learn how to perform A/B testing with SciPy
Learn how to predict customer churn using CatBoost Classifier
Learn how to predict customer lifetime value using MLP Regressor
Learn how to visualize customer graphics data using PowerBI
Learn how to visualize marketing campaign performance data using PowerBI
Learn how to visualize web traffic data using PowerBI
Requirements
No previous experience in marketing analytics is required
Basic knowledge in Microsoft Excel and Python
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