Digital Analytics Course | Digital Marketing Analytics | Marketing Analytics | Intellipaat

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Welcome to this tutorial on Digital Analytics! In this video, we will cover the basic concepts of Statistics in Excel as well as Linear Regression & Logistics Regression. Moving Further we'll look into the Customer Segmentatio, RMF Analysis & Steps involved in Customer Segmentation. Last but not least we'll cover Market Basket Analysis with its use cases.

Digital analytics is the process of analyzing data from various digital channels, such as websites, social media platforms, and mobile apps, to understand and optimize the performance of those channels. Customer segmentation is a key aspect of digital analytics that involves dividing customers into distinct groups based on characteristics such as demographics, behavior, or interests. Market basket analysis is a type of analysis that involves examining the products that customers purchase together in order to identify patterns and trends.

🔵  Some common tasks in digital analytics that involve customer segmentation and market basket analysis include:

✅  Collecting and organizing data from various digital channels. This may involve using tools such as Google Analytics, Adobe Analytics, or other specialized software.

✅  Segmenting customers into distinct groups based on characteristics such as demographics, behavior, or interests. This can be done using tools such as customer relationship management (CRM) software or data visualization tools.

✅  Analyzing the data to identify trends, patterns, and insights. This may involve using statistical analysis techniques or visualizing the data using charts and graphs.

✅  Using the insights from the analysis to optimize the performance of digital channels. This may involve making changes to website design, improving the targeting of social media ads, or developing new content for a mobile app.

✅  Analyzing the products that customers purchase together in order to identify patterns and trends. This can be done using market basket analysis techniques such as affinity analysis or association rule mining.

✅  Reporting on the results of digital analytics efforts. This may involve creating dashboards or presentations to share with stakeholders, such as marketing teams or senior management.

🔵 Data Set Credits: David Langer | Reference: Market Basket Analysis (Association R...

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#DigitalAnalyticsCourse #DigitalMarketingAnalytics #MarketingAnalytics #Intellipaat

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👉Following topics are covered in this video:
00:00:00 -Introduction to Digital Analytics Course
00:08:59 - Statistics in Microsoft Excel
00:19:34 - Descriptive Statistics
00:24:14 - Descriptive Statistics in Excel
00:40:15 - F-test
00:49:59 - F-test in Excel
00:59:14 - T-test
01:17:30 - T-test in Excel
01:49:17 - What is Linear Regression?
01:59:00 - Steps Involved in Linear Regression
02:03:16 - Data Preprocessing
02:16:44 - Covariance
02:17:57 - Correlation
02:19:52 - Linear Regression in Excel
03:50:29 - Spam Statistics
04:21:51 - Spam Statistics in Excel
04:44:28 - What is Customer Segmentation?
05:09:59 - RFM Analysis
05:10:14 -  Steps Involved in Customer Segmentation
05:26:47 - Market Basket Analysis
05:40:58 - Problem Statement
05:43:43 - Steps Involved in Market Basket Analysis

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