Marketing Analytics with Google Analytics
This course dives deep into marketing analytics with google analytics, equipping you with the skills and confidence to apply your knowledge in real scenarios.
Created by Meera Menon, Lead Data Scientist
What you'll learn
- Analysing datasets
- Writing SQL
- Building dashboards
- Turning data into recommendations
- Understand data visualisation and dashboards
- Understand statistics for decision-making
Course curriculum
7 modules · 51 lessons · 2,100 minPlanned outline shown above (sample metadata). The detailed module and lesson list for this course hasn't been published yet.
Description
This course dives deep into marketing analytics with google analytics, equipping you with the skills and confidence to apply your knowledge in real scenarios.
What this course covers: Marketing Analytics with Google Analytics works through data visualisation and dashboards, statistics for decision-making, building data pipelines and Python or R for analysis.
Skills you will build: building dashboards, turning data into recommendations and writing SQL.
Practical applications: business reporting and KPIs, forecasting and trend analysis and data-driven product and marketing decisions.
Who should take this course: aspiring analysts, working professionals and students who want to work confidently with data. No prior experience is needed — the course starts from the basics.
Learning outcomes: by the end of the course you should be able to apply data visualisation and dashboards and building dashboards to your own work or projects, and know which areas to practise next.
Requirements
- No prior experience required
- A computer or smartphone with internet access
- Time to practise each week
Your instructor
Meera Menon
Lead Data Scientist · 11+ years of experience
Meera Menon is a lead data scientist with 11+ years of experience in data analytics. Meera teaches data cleaning and preparation and exploratory data analysis with practical, step-by-step examples.
Reviews
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Rohan P. 4.0/5 Sample review
The section on building data pipelines was explained step by step, and the examples made Python or R for analysis much easier to follow. The SQL practice sets were tough in a good way.
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Anjali W. 5.0/5 Sample review
Clear structure from statistics for decision-making through to building data pipelines. I'd like a few more practice tasks, but overall very useful. The end-to-end case study tied cleaning, analysis and presentation together nicely.
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Neha A. 5.0/5 Sample review
Good balance of theory and practice. The data visualisation and dashboards lessons helped me apply building dashboards in real situations. Finally understood which chart to use when — my reports look far more professional.
Sample reviews are illustrative demo content, not verified purchases. Ratings from learners will appear here once submitted.