Marketing Analytics

8 Courses · 160 Lessons
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📖 C1 Marketing Analytics Foundation 4 Modules · 20 Lessons
▶ M1 Introduction to Marketing Analytics 5
1L1 Marketing Analytics Kya Hai→ 2L2 Marketing Funnel aur Data→ 3L3 Data Sources→ 4L4 Analytics Mindset→ 5L5 Module Review→
▶ M2 DataDriven Marketing Decisions 5
1L1 Decision Frameworks→ 2L2 Marketing Mix Analysis→ 3L3 Customer Analytics→ 4L4 Reporting aur Dashboards→ 5L5 Module Review→
▶ M3 Marketing Metrics and KPIs 5
1L1 Core Marketing Metrics→ 2L2 Revenue Metrics→ 3L3 Engagement Metrics→ 4L4 KPI Selection Framework→ 5L5 Module Review→
▶ M4 Marketing Analytics Tools Overview 5
1L1 Web Analytics Tools→ 2L2 Social Media Analytics→ 3L3 Data Analysis Tools→ 4L4 Choosing Right Tools→ 5L5 Module Review→
📖 C2 Introduction to Data Analytics 4 Modules · 20 Lessons
▶ M1 Data Analytics Fundamentals 5
1L1 Data Analytics Types→ 2L2 Data Lifecycle→ 3L3 Data Quality→ 4L4 Analytics Process→ 5L5 Module Review→
▶ M2 Data Types and Collection Methods 5
1L1 Quantitative vs Qualitative→ 2L2 Primary Data Collection→ 3L3 Secondary Data Sources→ 4L4 Data Collection Best Practices→ 5L5 Module Review→
▶ M3 Data Cleaning and Preparation 5
1L1 Missing Data→ 2L2 Outliers aur Duplicates→ 3L3 Data Transformation→ 4L4 Data Merging→ 5L5 Module Review→
▶ M4 Exploratory Data Analysis 5
1L1 EDA Process→ 2L2 Univariate Analysis→ 3L3 Bivariate Analysis→ 4L4 Visual EDA→ 5L5 Module Review→
📖 C3 Data Analysis with Spreadsheets and SQL 4 Modules · 20 Lessons
▶ M1 Spreadsheet Fundamentals for Analytics 5
1L1 Spreadsheet Basics→ 2L2 Data Organization→ 3L3 Essential Functions→ 4L4 Charts aur Visualization→ 5L5 Module Review→
▶ M2 Advanced Spreadsheet Functions 5
1L1 Pivot Tables→ 2L2 Advanced Formulas→ 3L3 Statistical Functions→ 4L4 Automation aur Efficiency→ 5L5 Module Review→
▶ M3 Introduction to SQL 5
1L1 SQL Basics→ 2L2 Aggregation aur Grouping→ 3L3 Joins→ 4L4 Subqueries aur CTEs→ 5L5 Module Review→
▶ M4 SQL for Marketing Data Analysis 5
1L1 Campaign Performance Queries→ 2L2 Customer Analysis Queries→ 3L3 Product aur Revenue Queries→ 4L4 Reporting Queries→ 5L5 Module Review→
📖 C4 Python Data Analytics 4 Modules · 20 Lessons
▶ M1 Python for Data Analysis 5
1L1 Python Environment Setup→ 2L2 Python for Analysts→ 3L3 Data Loading→ 4L4 Notebook Best Practices→ 5L5 Module Review→
▶ M2 Pandas and NumPy 5
1L1 NumPy Basics→ 2L2 Pandas Series aur DataFrame→ 3L3 Data Selection aur Filtering→ 4L4 Grouping aur Aggregation→ 5L5 Module Review→
▶ M3 Data Manipulation with Python 5
1L1 Data Cleaning with Pandas→ 2L2 Merging aur Joining→ 3L3 Feature Engineering→ 4L4 Apply aur Map→ 5L5 Module Review→
▶ M4 Data Visualization with Python 5
1L1 Matplotlib Basics→ 2L2 Seaborn Advanced→ 3L3 Marketing Dashboards→ 4L4 Interactive Visualization→ 5L5 Module Review→
📖 C5 Statistics for Marketing 4 Modules · 20 Lessons
▶ M1 Descriptive Statistics 5
1L1 Central Tendency→ 2L2 Spread Measures→ 3L3 Distribution Shapes→ 4L4 Summary Reporting→ 5L5 Module Review→
▶ M2 Probability and Distributions 5
1L1 Probability Basics→ 2L2 Probability Distributions→ 3L3 Sampling aur Central Limit Theorem→ 4L4 Confidence Intervals→ 5L5 Module Review→
▶ M3 Hypothesis Testing 5
1L1 Hypothesis Testing Framework→ 2L2 Common Statistical Tests→ 3L3 AB Testing→ 4L4 Type I aur Type II Errors→ 5L5 Module Review→
▶ M4 Regression Analysis for Marketing 5
1L1 Linear Regression→ 2L2 Multiple Regression→ 3L3 Logistic Regression→ 4L4 Regression in Practice→ 5L5 Module Review→
📖 C6 Data Analytics Methods for Marketing 4 Modules · 20 Lessons
▶ M1 Customer Segmentation 5
1L1 Segmentation Fundamentals→ 2L2 RFM Analysis→ 3L3 Clustering Techniques→ 4L4 Segmentation Strategy→ 5L5 Module Review→
▶ M2 AB Testing and Experimentation 5
1L1 Experiment Design→ 2L2 AB Test Execution→ 3L3 Results Analysis→ 4L4 Advanced Experimentation→ 5L5 Module Review→
▶ M3 Attribution Modeling 5
1L1 Attribution Fundamentals→ 2L2 RuleBased Models→ 3L3 DataDriven Attribution→ 4L4 Attribution in Practice→ 5L5 Module Review→
▶ M4 Predictive Analytics for Marketing 5
1L1 Predictive Modeling Overview→ 2L2 Churn Prediction→ 3L3 Lead Scoring aur CLV→ 4L4 Time Series Forecasting→ 5L5 Module Review→
📖 C7 Marketing Analytics with Meta Tools 4 Modules · 20 Lessons
▶ M1 Meta Analytics Ecosystem 5
1L1 Analytics Platform Overview→ 2L2 Ads Manager Analytics→ 3L3 Audience Insights→ 4L4 Creative Performance Analytics→ 5L5 Module Review→
▶ M2 Tracking with Meta Pixel 5
1L1 Pixel Setup→ 2L2 Standard Events→ 3L3 Custom Events aur Parameters→ 4L4 Pixel Data Analysis→ 5L5 Module Review→
▶ M3 Conversions API and Data Integration 5
1L1 Conversions API Overview→ 2L2 CAPI Implementation→ 3L3 Data Integration→ 4L4 Privacy aur Compliance→ 5L5 Module Review→
▶ M4 Campaign Reporting and Optimization 5
1L1 Campaign Performance Reporting→ 2L2 Audience Performance Analysis→ 3L3 Budget Optimization→ 4L4 Continuous Improvement→ 5L5 Module Review→
📖 C8 Marketing Analytics Capstone 4 Modules · 20 Lessons
▶ M1 Capstone Project Planning 5
1L1 Project Brief→ 2L2 Data Assessment→ 3L3 Analysis Plan→ 4L4 Stakeholder Communication→ 5L5 Module Review→
▶ M2 Data Collection and Analysis 5
1L1 Data Preparation→ 2L2 Exploratory Analysis→ 3L3 Statistical Analysis→ 4L4 Predictive Modeling→ 5L5 Module Review→
▶ M3 Insights and Recommendations 5
1L1 Dashboard Creation→ 2L2 Insight Generation→ 3L3 Recommendations Framework→ 4L4 Executive Summary→ 5L5 Module Review→
▶ M4 Final Presentation and Portfolio 5
1L1 Presentation Structure→ 2L2 Data Storytelling→ 3L3 Portfolio Project→ 4L4 Career Next Steps→ 5L5 Module Review→