Introduction to Data Analytics

This course is part of multiple programs. Learn more

Instructor: Anke Audenaert

What you'll learn

  •   Apply the data analysis process OSEMN to marketing data
  •   Compare and contrast various data formats and their applications across different scenarios
  •   Identify data gaps and articulate the strengths and weaknesses of collected data
  • Skills you'll gain

  •   Data Analysis
  •   Data Visualization
  •   Key Performance Indicators (KPIs)
  •   Generative AI
  •   Data Modeling
  •   Data Collection
  •   Exploratory Data Analysis
  •   Data Storytelling
  •   Analytics
  •   Data Validation
  •   Data Manipulation
  •   Data Quality
  •   Business Metrics
  •   Data Cleansing
  • There are 5 modules in this course

    By the end of this course you will be able to: • Formulate business goals, KPIs and associated metrics • Apply a data analysis process using the OSEMN framework • Identify and define the relevant data to be collected for marketing • Compare and contrast various data formats and their applications across different scenarios • Identify data gaps and articulate the strengths and weaknesses of collected data You don't need marketing or data analysis experience, but should have basic internet navigation skills and be eager to participate. Ideally you have already completed course 1: Marketing Analytics Foundation in this program.

    Obtaining and Scrubbing Data

    Exploring and Modeling Data

    Interpreting Data

    [Optional] GenAI in Data Analytics

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