Marketing

1- Introduction to Data Science , Overview and Importance in Marketing 2- Role of Data Science in Marketing Decision Making 3- Overview of Marketing Data Types and Sources 4- Introduction to Python for Data Analysis 5- Data Collection and Cleaning for Marketing Data 6- Using Excel & Google Sheets for Marketing Data Management 7- Descriptive Statistics for Marketing Datasets 8- Data Visualisaton Principles and Tools 9- Creating Marketing Dashboard and Reports 10- Introduction to Predictive Modelling Concepts 11- Linear Multiple Regression for Sales and Campaign Forecasting 12- Logistic Regression for Customer Segmentation & Churn Prediction 13- Basics of Experimental Design for Marketing Tasks 14- Conducting and Analyzing A/B Tests 15- Using Anova & Other Statistical Tests to Optimise Campaigns 16- Introduction to Clustering for Customer Segmentation 17- Basics of Classification Models for Targeted Marketing 18- Application of Machine Learning in Campaign Optimization 19- Time Series Forecasting for Campaign Planning 20- Translating Data Insights into Actionable Marketing Strategies 21- Real World Marketing Data Project or Case Study 22- Marketing