Technology

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.

4.5★★★★★(350 reviews) 2,520 learners 7 modules · 51 lessons · 2,100 min Beginner English

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 min

Planned 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

MM

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

  • R
    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.

  • A
    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.

  • N
    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.

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