Data Preparation & Infrastructure

External: Coursera Courses ↗ · Coursera

Open Course on External: Coursera

Free to audit · Opens on External: Coursera

Data Preparation & Infrastructure

Coursera · Intermediate ·📊 Data Analytics & Business Intelligence ·1w ago

Key Takeaways

Prepares and structures marketing data for reporting and decision-making using campaign exports, CRM records, and web analytics data

Original Description

Build the technical foundation required for modern marketing analytics workflows. In this course, you’ll learn how to prepare, clean, validate, and structure marketing data so it can be trusted for reporting and decision-making. You’ll work with campaign exports, CRM records, web analytics data, and marketing performance datasets while learning how to identify inconsistencies, normalize UTM conventions, and remove duplicate or incomplete records. You’ll also learn how to use SQL to extract and combine marketing-relevant data from multiple sources, enabling you to create campaign-level metrics and performance summaries. In addition, you’ll evaluate data quality using profiling techniques that help identify gaps, anomalies, and reporting risks before they affect business decisions. By the end of the course, you’ll be able to create repeatable data-cleaning workflows, validate marketing datasets across platforms, and prepare reliable datasets for dashboarding, analysis, and optimization projects.
Watch on External: Coursera ↗ (saves to browser)
Sign in to unlock AI tutor explanation · ⚡30

Related Reads

📰
Star, Snowflake, or Galaxy? Choosing Your Data Warehouse Schema
Learn how to choose the right data warehouse schema for your organization, including Star, Snowflake, and Galaxy schemas, to optimize data analysis and reporting
Dev.to · grace wambua
📰
DaDaDa: A Dataset for Data Pricing in Data Marketplaces
Learn how to price data products in data marketplaces using the DaDaDa dataset and improve your data pricing strategies
ArXiv cs.AI
📰
I Tried to Predict the World Cup. What I Learned Had Nothing to Do with Football.
A data engineer's attempt to predict the World Cup using statistical modeling reveals valuable lessons about uncertainty and problem-solving in real-world applications.
Medium · Data Science
📰
Your Company Does Not Need More Dashboards. It Needs Better Decisions.
Companies often mistakenly focus on creating more dashboards instead of improving decision-making processes, which is crucial for business success
Medium · AI
Up next
Modified Distribution Method (MODI) In Transportation Problem /Operations Research/Statistics
EZIKAN ACADEMY
Watch →