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Marketing Analytics

8 weeks
48 hours

Optimise marketing decisions with SAS. Learn data analysis, segmentation, and predictive modeling through hands-on exercises and real-world cases.

Course Overview

This course is designed to provide participants with a comprehensive understanding of marketing analytics techniques using SAS (Statistical Analysis System). Participants will learn how to leverage SAS to analyze marketing data, derive insights, and make data-driven decisions to optimize marketing strategies and campaigns. Through hands-on exercises and real-world case studies, participants will gain practical skills in data manipulation, segmentation, predictive modeling, and performance measurement, tailored specifically for marketing applications.

Advantage

Distinguish yourself in marketing analytics with our SAS course. Acquire a profound understanding and hands-on skills to analyze marketing data effectively. Tailored for marketing applications, learn data manipulation, segmentation, predictive modeling, and performance measurement through real-world case studies. Unlock the power of SAS to optimize marketing strategies and elevate your ability to make informed, data-driven decisions, setting you apart in the dynamic field of marketing analytics.

What you'll learn

How to leverage SAS for analyzing marketing data and deriving insights.
Data-driven decision-making to optimize marketing strategies and campaigns
Practical skills in data manipulation, segmentation, predictive modeling

Admission Process

Please call to admission counselor for course fees, registration fees, EMI fecilities,registration form and other formalities. Contact to admission counselor

+91-9830247087

Who Can Join?

Any graduate with knowledge of basic computing.

Requirment

1. Personal computer/laptop with webcam and microphone

2. Stable internet connections

Payment Details

Bank Details:
KLMS HANDS-ON SYSTEMS PRIVET LIMITED
Account Number: 19700200000420
IFSC Code: BARB0SALTLA (5th letter is numeric zero)
UPI Payment: 9432257052@okbizaxis

Live Instructor-Led Course
Project and Case Studies
Certificate of completion
Learn from Experts
Placement Assistance

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About us

Handson's mission is to build a easy to use comprehensive educational platform for learner whether fresher or experienced professional.

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Vasundhara Complex, Sector V, AN Block, Building-II, Kolkata-700102, West Bengal, India

+91 9830247087

[email protected]

Marketing Analytics

Marketing Analytics

Course Overview

Advantage

What you'll learn

Admission Process

Who Can Join?

Requirment

Payment Details

Follow Us

About us

Quick Links

Quick Links

Contact Us

Our Courses

Marketing Analytics

Marketing Analytics

Course Overview

Advantage

What you'll learn

Introduction to Marketing Analytics

Module 1: Overview of marketing analytics and its importance

Module 2: Understanding key marketing metrics and KPIs

Module 3: Introduction to SAS for marketing analytics

Module 4: Setting up SAS environment for marketing data analysis

Data Manipulation and Management in SAS

Module 1: Importing and exporting data in SAS

Module 2: Data cleaning and preparation techniques

Module 3: Merging and appending datasets

Module 4: Creating new variables and calculating metrics

Exploratory Data Analysis (EDA)

Module 1: Descriptive statistics for marketing data

Module 2: Data visualization techniques (histograms, scatter plots, etc.)

Module 3: Identifying patterns and trends in marketing data

Module 4: Data quality assessment and outlier detection

Customer Segmentation and Targeting

Module 1: Introduction to customer segmentation

Module 2: RFM analysis (Recency, Frequency, Monetary)

Module 3: Clustering techniques (k-means, hierarchical clustering)

Module 4: Segmentation validation and interpretation

Predictive Modeling for Marketing

Module 1: Introduction to predictive modeling in marketing

Module 2: Linear regression for sales forecasting

Module 3: Logistic regression for customer churn prediction

Module 4: Decision trees and random forests for customer segmentation

Predictive Modeling Techniques (continued)

Module 1: Ensemble modeling techniques (bagging, boosting)

Module 2: Cross-validation and model evaluation

Module 3: Model selection and interpretation

Module 4: Handling imbalanced data in predictive modeling

Marketing Campaign Analysis

Module 1: Designing marketing experiments and A/B testing

Module 2: Measuring campaign effectiveness and ROI

Module 3: Lift analysis and response modeling

Module 4: Attribution modeling for multi-channel campaigns

Customer Lifetime Value (CLV) Analysis

Module 1: Understanding CLV and its significance in marketing

Module 2: Calculating CLV using historical data

Module 3: Predictive modeling for CLV estimation

Module 4: Strategies for maximizing CLV and customer retention

Marketing Analytics Reporting and Visualization

Module 1: Creating reports and dashboards in SAS

Module 2: Customizing visualizations for marketing insights

Module 3: Communicating results effectively to stakeholders

Module 4: Automation of reporting processes in SAS

Real-World Case Studies and Practical Applications

Module 1: Application of marketing analytics techniques to real-world marketing challenges

Module 2: Hands-on exercises and projects analyzing marketing datasets

Module 3: Discussion of best practices and future trends in marketing analytics

Admission Process

Who Can Join?

Requirment

Payment Details

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