marketing analytics courses

Top 10 Online Marketing Analytics Courses

Marketers respect Marketing Analytics because it emphasizes the importance of marketing success. Marketing analytics is a study of a marketer’s entire path in achieving his objectives through high ROI, with ROI metrics ranging from revenue to customer involvement. We’ve compiled a list of the greatest free marketing online courses for you to study and grow in the analytics era.
All businesses have access to a vast amount of data that can be used to create a marketing strategy that will attract and engage customers while also ensuring customer satisfaction. The solution, on the other hand, rests in how marketers collect, examine, and apply data to achieve the desired objectives. Analyst (business) Courses are the means by which marketers can gain actionable insights that lead to the desired conclusion.
Marketing Analytics is necessary for analyzing engagement activities and developing marketing strategies.
Here are 10 of the Best Marketing Analytics courses. Let’s get this party started.

List of Top 10 Online Marketing Analytics Courses

1. Marketing Analytics: Stand Out by Becoming an Analytics Pro! (Udemy)

Do you want to become a marketing analytics expert? If that’s the case, this is the course for you!
This course will teach you all you need to know to become a marketing analytics specialist. There is no need to have any prior expertise with social media marketing, analytics, or marketing!
This course employs a hands-on, case-study approach to learning. To put it another way, you’ll learn via analyzing facts in a real-world situation. The first part of the course covers big data, data analytics, and marketing
analytics. This will help you feel more at ease when using this terminology.
Following that, you’ll study the most crucial web, social media, digital advertising, customer, and revenue KPIs in marketing. You’ll immediately apply each new metric to the real-life case study as you learn it.

What you will learn – 

  • Learn the most important marketing metrics and how to apply them to your data.
  • Analyze a company’s PPC marketing campaign using key metrics.
  • Know how to ask the right questions from your data.
  • Build a marketing initiative forecast model from the ground up.
  • Build a dynamic dashboard to summarize your analysis.

Pre-requirements – 

  • You should have a beginner/intermediate knowledge of Excel including SUMIFS and COUNTIFS
  • No background in statistics required

Who can take this course – 

  • Social media professionals
  • Marketing students
  • Digital advertisers
  • Marketing professionals

Duration – 5 hours

Instructor – Nate @ Wisdify

2. Foundations of Marketing Analytics Specialization (Coursera)

This is the place to be if you have some knowledge of analytics and want to take it to the next level. This intermediate-level specialization assists experienced professionals in identifying and interpreting correlations between variables, developing spreadsheet models to analyze data, and assessing risks, among other important topics. Utilize the data at hand to make informed business decisions. Finish up with a final assignment that allows you to put the strategies and methodologies you learned in the lessons to work on a marketing analytics problem.

What you will learn – 

  • Find, extract, organize and describe data to support business decisions.
  • Identify, quantify and interpret relationships between variables.
  • Derive customer insights from your data.
  • Develop spreadsheet models to analyze data, evaluate risk and optimize business. decisions.
  • Present and justify a course of action to management.

Pre-requirements – 

Some related experience is required.

Who can take this course – 

This course is open to anyone who wants to learn more and make better use of their time.

Duration – 7 months (3 hours/week)

Instructor – David Schweidel

3. Marketing Analytics: The Full Marketing Research Masterclass (Udemy)

Would you like to learn how to become a marketing analytics specialist and how to use an emotion-based buying approach? Do you want to learn how to apply the means-end philosophy to gain profound insights into and regulate one’s psyche? Then this is the course for you.
The instructor will take you from total novice to expert in marketing analytics and strategy in this course.
This Masterclass course begins with teaching you the principles of quantitative and qualitative marketing strategies, followed by a comprehensive guide to consumer research and market research, as well as an introduction to marketing analytics. After that, you’ll learn how to examine and improve existing marketing plans for businesses, projects, and solopreneurs using a variety of software tools and tactics.
The means-end philosophy will teach you the entire methodology to emotion-based customer research. The instructor will teach you how to use means-end laddering to get influence over other people’s decision-making and how to market to them through emotions.

What you will learn – 

  • Know how to successfully prepare, conduct and analyze qualitative and quantitative research.
  • Understand emotion-based selling through the means-end theory & a concept called laddering.
  • Set up their own data-driven emotion-based marketing strategies and funnels.
  • Use Google tools like Google Trends, Google Shopping Insights & Consumer Barometer to do data-driven market research.
  • Master the skill of reverse-engineering marketing behavior by institutions, brands and solopreneurs.
  • Know how to analyze your competitor’s/anyone’s marketing strategies.

Pre-requirements – 

  • You should have computer with properly working internet access.
  • You should have an open mind for new ideas and concepts.

Who can take this course – 

  • People who wants to become marketing analytics experts.
  • Entrepreneurs who want to succeed at online and offline marketing.
  • Online marketers who want to understand and improve their own marketing strategies.
  • Marketing analytics experts who want to improve and broaden their skills.

Duration – 3.5 hours

Instructor – Business Hero

4. Become a Marketing Analyst (Udacity)

It is a nanodegree program in marketing analyst that will assist you in gaining fundamental marketing knowledge and abilities. You’ll learn how to gather and analyze data, as well as how to connect your findings to Excel, Google Analytics, Data Studio, and Tableau. Various marketing analysis ideas, such as data analysis, data visualization, Google analytics, and so on, will be covered during the course. Real-world projects, project reviews, project comments, technical mentor help, and personal career counseling from the professors are all included.

What you will learn – 

  • Learn how to use numbers and visuals to uncover and express insights, as well as how to manage, analyse, and visualise data in spreadsheets and create Excel models.
  • Learn how to use design and visualisation principles to create powerful data visualisations, data dashboards, and data-driven narrative.
  • Learn sophisticated reporting ways to analyse and optimise results and provide actionable insights for your organisation while obtaining in-depth understanding of Google Analytics.
  • Learn about a variety of marketing and business indicators, as well as how to assess the growth and health of your marketing initiatives.
  • Obtain a personalised learning plan that is tailored to your daily work schedule.

Pre-requirements – 

No prerequisites are needed.

Who can take this course – 

This course is open to anyone who wants to learn more and make better use of their time.

Duration – 3 Months (5 hrs/week)

Instructor – Anke Audenaert

5. Marketing Analytics: Forecasting Models with Excel (Udemy)

You’re seeking a comprehensive course on forecasting models and analytics to help you make better business decisions about production scheduling, inventory management, labor planning, demand forecasting, and a variety of other topics.
You’ve come to the right place if you’re looking for Marketing Analytics: Forecasting Models with Excel.
This course will teach you all you need to know about forecasting models and how to use them in Excel to create forecasting analytics using sophisticated Excel tools.

What you will learn – 

  • Become proficient in using powerful tools such as excel solver to create forecasting models.
  • Learn about two of the most used forecasting tools: simple linear and simple multiple regression.
  • Learn how to estimate the trend and seasonal aspects of sales.
  • Learn to generate forecasts using the Ratio to Moving Average forecasting method.
  • Forecast using dynamic trend and seasonal index using Winter’s method.
  • Learn forecasting for new product launches with little or no history about sales of a product.
  • Learn how to use S Curves to Forecast Sales of a New Product.
  • Learn how to forecast product sales even before the product comes to market using the popular Bass diffusion model.
  • In Depth knowledge of data collection and data preprocessing for Linear Regression problem.
  • Understand how to interpret the results of Linear Regression models and translate them into actionable insight.

Pre-requirements – 

  • You will need a PC with any version of Excel installed in it.
  • Basic understanding of Excel operations like opening, closing and saving a file.

Who can take this course –

 Anyone curious to master Forecasting Models from beginner to advanced.

Duration – 7 hours

Instructor – Start-Tech Academy

Sign up for the course at – https://www.udemy.com/course/marketing-analytics-forecasting-models-with-excel/

6. Marketing Analytics (Edx)

This MicroMasters program will provide learners with quantitative marketing approaches that they may use right away in the industry to generate tangible benefits. These courses focus on the best techniques and approaches for measuring and analyzing the critical elements that influence corporate decision-making. Begin your adventure by learning how to extract insight from your company’s data and use it to solve real-world challenges.

What you will learn – 

  • Drive your company’s Return on Investment (ROI) with analytics-based marketing strategies.
  • Apply analytics tools and techniques to real-world problems and scenarios.
  • Practical applications in price and promotion analytics.
  • Analysis of competitive trends.
  • Distribution and sales performance.
  • Competitive Analysis and Market Segmentation.
  • Budgets for multiple campaigns.
  • Advanced programming languages.
  • Conjoint analysis, decision trees.
  • Brick and mortar vs. e-commerce channels.
  • Exclusive for Verified students: Practical application of R, the industry standard for data analysis, to critical and common marketing questions.

Pre-requirements – 

No prerequisites are needed.

Who can take this course – 

This course is open to anyone who wants to learn more and make better use of their time.

Duration – Self paced

Instructor – Stephan Sorger

7. Foundations of marketing analytics (Coursera)

If you have a foundation in statistics, know how to program in R or another programming language, and are familiar with databases and data analysis techniques such as regression, classification, and clustering, this course will be intriguing and gratifying.
It does, however, provide a number of lectures and R Studio lessons that will help you solidify your skills, give you more freedom with data, and allow you to experiment with new features and statistical procedures in R.
For good reason, business analytics, big data, and data science are trendy topics today.
Segmentation is all about getting to know your customers, scoring models are all about identifying the best ones to target, and customer lifetime value is all about predicting their future worth. Marketing Analytics is built on these pillars. That’s exactly what you’ll study in this course.

What you will learn – 

  • Introduction to Foundation of Marketing Analytics.
  • Statistical segmentation.
  • Managerial segmentation.
  • Targeting and scoring models.
  • Customer lifetime value.

Pre-requirements – 

No prerequisites are needed.

Who can take this course – 

This course is designed for students, business analysts, and data scientists who want to apply statistical knowledge and techniques to business contexts. 

Duration – 6 hours

Instructor – Arnaud De Bruyn

8. Marketing Analytics (FutureLearn)

Learn the fundamentals of marketing analytics and how to use data to ensure that your marketing is successful.
Large and small businesses alike are flooded with information on consumer preferences. However, having more information does not automatically imply making better decisions. The difficulty is learning how to understand data, and marketers, in particular, are increasingly expected to utilize analytics to explain and defend their actions.
This course will teach you how to assess and optimize marketing efforts by using tools to measure the performance of brand and customer assets, interpret regression analysis, calculate customer lifetime value, and conduct experiments.

What you will learn – 

By the end of the course, you‘ll be able to :

  • Explain types of analytics and how data-driven decision making impacts marketing.
  • Define and evaluate a brand and brand architecture.
  • Calculate customer lifetime value and its components.
  • Design and conduct experiments to test hypotheses about marketing and sales.
  • Interpret regression outputs and their impact on marketing.

Pre-requirements –  

No prerequisites are needed.

Who can take this course – 

The course is ideal for practicing and aspiring marketing professionals who want to grow their knowledge, develop their career portfolio and improve the effectiveness of their marketing campaigns. However, it will also be of interest to anyone looking to learn the basics of marketing analytics.

Duration – 5 weeks (2 hours /week)

Instructor – Rajkumar Venkatesan

9. Marketing Analytics: Data Tools and Techniques (Edx)

This program is ideal for those who prefer to learn by doing. The lectures will teach you about the tools and tactics that can help you make data-driven decisions in your company or organization. Assess significant management issues, formulate a relevant hypothesis, and draw conclusions that can lead to actionable outcomes. After completing the lectures, you will be able to apply your newly acquired skills to appropriate tasks to achieve the best results.

What you will learn – 

  • Regression Analysis: modeling cause and effect.
  • Conjoint Analysis: valuing attributes and measuring preference.
  • Social Media Analytics.
  • New Techniques in Market Research.

Pre-requirements –  

No prerequisites are needed.

Who can take this course – 

This course is open to anyone who wants to learn more and make better use of their time.

Duration – Self paced

Instructor – Raghu Iyengar

10. Marketing Analytics (Coursera)

Large and small businesses alike are flooded with information on consumer preferences. However, having more information does not automatically imply making better decisions. The problem is learning how to understand data, and marketers, in particular, are increasingly expected to utilize analytics to inform and defend their actions.
Marketers can use marketing analytics to monitor, control, and analyze their performance in order to maximize their efficacy and maximize their return on investment (ROI). Marketing analytics, in addition to the obvious sales and lead generating uses, may provide deep insights into customer preferences and patterns, which can be used to inform future marketing and business decisions.
This course, produced by the University of Virginia’s Darden School of Business, will teach you how to analyze and optimize marketing campaigns by measuring brand and customer assets, using regression analysis, and designing experiments. You’ll go away with a solid understanding of how to utilize marketing analytics to predict outcomes and allocate resources strategically.

What you will learn – 

  • How to build and define a brand architecture and how to measure the impact of marketing efforts on brand value over time.
  • How to measure customer lifetime value  and use that information to evaluate strategic marketing alternatives.
  • How to design basic experiments so that you can assess your marketing efforts and invest your marketing dollars most effectively.
  • How to set up regressions, interpret outputs, explore confounding effects and biases, and distinguish between economic and statistical significance.

Pre-requirements – 

No prerequisites are needed.

Who can take this course – 

This course is open to anyone who wants to learn more and make better use of their time.

Duration – 16 hours

Instructor – Rajkumar Venkatesan

Conclusion – 

So there you have it: the top 10 online marketing analytics courses. Hope you were able to locate what you were looking for. You can also browse our site for further digital marketing and learning-related articles and tips. Wish you happy learning!

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