Online Course – Unilever Certified Professional Certificate in Digital Marketing Analytics

Open your future in digital marketing analytics. Gain job-ready skills for an in-demand career as a digital marketing analyst. No degree or prior experience required.

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Professional Certificate

Beginners

No prior knowledge required

Time to complete the course

7-day free trial

No unnecessary risks

Skills you will acquire in the course

  • Data Analytics
  • Customer exception
  • SEO optimization
  • Description of basic marketing concepts
  • Implementing marketing planning frameworks
  • Customer segmentation
  • Creating customer journey maps
  • Using Google Analytics 4 for website analysis
  • Create customized reports
  • Designing conversion events
  • Applying data storytelling techniques
  • Description of data-driven marketing strategies
  • ROI evaluation and optimization
  • Improve campaign performance through continuous analysis
  • Website optimization for search engines
  • Developing a content and metrics plan for social networks
  • Document insights from campaign performance tests

What you will learn in the course

Courses for which the course is suitable

  • Digital Marketing Analyst
  • Data Analyst
  • Digital Campaign Manager
  • SEO expert
  • Digital Content Manager
  • Social Media Manager
  • Digital Marketing Consultant
  • Marketing Performance Analyst
  • Marketing Strategy Planner

Professional Certificate – Series 4 Courses

With an expected growth rate of 18% , this is a great opportunity to enter the field of digital marketing analytics. In this program, you will learn required skills such as data analysis, customer acquisition, and SEO optimization, and be ready to work in less than 4 months, with no prior experience required.

Digital marketing analysts are responsible for collecting and interpreting data to evaluate the performance of digital marketing operations, improve strategies, and help achieve marketing goals.

This program will equip you with the essential tasks, tools, and methods used by entry-level analysts. You will gain experience through hands-on projects and apply your skills to real-world situations.

At the end of the program you will be able to:

  • Describe basic marketing concepts such as customer personas, customer churn, marketing functions, and value objectives.

  • Apply marketing planning frameworks to present an institutionalized approach to developing, implementing, and evaluating digital marketing strategies.

  • To segment customers and create customer journey maps.

  • Use website analytics, especially Google Analytics 4, to perform SEO analysis, create customized reports, and design conversion events.

  • Apply data storytelling techniques to present insights.

  • Describe data-driven marketing strategies.

  • Evaluate and optimize ROI.

  • Improve campaign performance through continuous analysis.

Applied Learning Project

This program focuses on building hands-on experience. You will take on the role of an entry-level analyst at a fictitious consumer products business to market a new fictitious product. With over 30 unique tasks, you will use spreadsheets and Google Analytics to analyze data and make recommendations. Some of the specific tasks you will be asked to complete include:

  • Optimize a website for search engines.

  • Develop a content and metrics plan for social networks.

  • Document insights from campaign performance tests.

Details of the courses that make up the specialization

Customer understanding and digital marketing channels

Course 1 • 20 hours

Course Details

What will you learn?

The Customer Understanding and Digital Marketing Channels course explores the dynamic landscape of digital marketing and its central role in modern business strategies. In the digital age, it is more important than ever for businesses to connect with a global audience, target a specific audience, measure campaign performance with precision, and deliver personalized marketing messages.

  • Define basic concepts in digital marketing such as customer personas, segmentation, funnels, and value propositions.
  • Describe the role of the analyst in digital marketing and its impact on making smart and quick decisions.
  • Describe the components of the SOSTAC marketing plan framework and the processes related to marketing.
  • Describe the nature of customer experience insights and identify internal and external tools to support customer segmentation.
  • Identify the connection between customer experience and content marketing and brand storytelling.
  • Describe the 6Ps in marketing and how they are used to arrange a marketing mix.
  • Get to know digital marketing channels and identify tools and inbound and outbound performance metrics for each of them.

Skills you will gain

  • Category: Market Segmentation
  • Category: 6Ps
  • Category: Digital Marketing Channels
  • Category: Customer Journey Map
  • Category: Sostac

Measurement and analysis

Course 2 • 27 hours

Course Details

What will you learn?

The Measurement and Analysis course focuses on essential aspects of tracking, analyzing, and optimizing marketing efforts for improved success.

  • Set SEO goals and conduct keyword research.
  • Build and apply a value proposition and identify how to analyze the performance of the SEO strategy.
  • Define web analytics and related KPIs.
  • Identify key features of the Google Analytics platform.
  • Define the 4Cs of social media marketing and identify SMART goals.
  • Describe the RACE planning framework.
  • Identify popular social media platforms and evaluate the best platform to use for a given strategy and goal.
  • Design a campaign strategy from A to Z and identify where to automate tracking and directions.
  • Identify the steps to implement testing for a campaign strategy and plan a performance test.

Skills you will gain

  • Category: Web Analytics
  • Category: SEO Optimization
  • Category: Google Analytics 4
  • Category: RACE Planning Framework
  • Category: Value Propositions

Campaign performance reporting, display and improvement

Course 3 • 21 hours

Course Details

What will you learn?

The Campaign Performance Reporting, Presentation, and Improvement course explores the critical aspects of measuring, reporting, and improving campaign performance to achieve marketing excellence.

  • Describe the value of data storytelling and list best practices for preparing presentations.
  • Identify popular presentation tools and state the benefits of each.
  • Identify existing debt strategies in the market.
  • Describe the ANSOFF matrix model and choose a market strategy using the ANSOFF matrix.
  • Identify which campaign structures affect ROI and explain common pitfalls to avoid.
  • Estimate and accurately measure ROI.
  • Identify the steps to plan and implement marketing campaign analysis.
  • Get to know the different models of multi-touch attribution and identify how to implement multi-touch attribution.

Skills you will gain

  • Category: Multi-touch attribution
  • Category: ANSOFF matrix
  • Category: Data Story
  • Category: Estimate ROI

Advanced tools in digital characterization

Course 4 • 20 hours

Course Details

What will you learn?

The Advanced Tools in Digital Characterization course explores new tools and technologies that are changing the face of digital marketing analytics.

  • Describe marketing automation and applications that support it.
  • Evaluate strategies for increasing scalability.
  • Identify the current applications of predictive analytics in digital marketing.
  • Use data summarization, experimentation, and analysis as a means of targeting.
  • Describe the future of video and mobile marketing and their impact on the mix of digital marketing channels.
  • Describe how artificial intelligence and machine learning are beneficial to digital marketing campaigns.
  • Define NLP and identify its impact on digital marketing.
  • Examine ethical considerations that affect digital marketing.

Skills you will gain

  • Category: Predictive Analytics
  • Category: Mobile Marketing
  • Category: Marketing Automation
  • Category: Machine Learning
  • Category: Scalability Strategies
  • Category: Ethics