The best Marketing Analytics courses available on DataCamp – Natural Self Esteem

Solutions Review editors have compiled the list below to highlight some of the best marketing analytics training courses for marketers of all experience levels to consider adopting DataCamp.

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Marketing professionals are essential to the success of any business. However, as markets and best practices change, active and aspiring marketers must consistently maintain and expand their skills and expertise, particularly in the area of ​​marketing analytics. Analytics is a crucial tool for marketers looking to optimize their campaigns, target the right audiences, and develop the most compelling marketing strategies possible.

With that in mind, the editors of Solutions Review have compiled the following list of marketing analysis courses on DataCamp to help marketers increase their skills and familiarity with some of the leading tools, software and code on the market.

The best Marketing Analytics courses on DataCamp

Course name: Analysis of marketing campaigns with pandas

OUR OPINION: If you’re interested in learning how pandas can help improve your marketing campaign analysis, this training course can get you started.

Description: When it comes to data manipulation and analysis, “pandas” — a software library written for the Python programming language — can provide data scientists with the structure and flows they need to improve their marketing analytics. However, learning how to use pandas in marketing campaign analysis can be challenging, and this four-hour training course can help. Students who enroll in the program will learn Pandas basics, exploratory analysis, summary statistics, personalization A/B testing, conversion attribution, visualization of results, and more.


Course name: Introduction to Tableau

OUR OPINION: In this 6-hour introductory course, you’ll learn all the tools and skills you need to use Tableau’s business intelligence and analytics capabilities in your marketing strategies.

Description: Tableau, a Salesforce company, is one of the most popular business intelligence (BI) and analytics solutions on the market. When a marketing team is looking for a platform to drive their marketing data analysis, Tableau is an excellent place to start. In this course, marketers will learn how to navigate the Tableau user interface, present data using the visualization tools, create data dashboards, and more. The course contains six hours of material spread over 24 videos and 60 different exercises.


Course name: Machine Learning for Marketing in Python

OUR OPINION: Machine learning and Python programming are valuable but daunting topics for marketers to explore. Fortunately, this course can help you become familiar with both and how they can improve your marketing strategy.

Description: This introductory course is designed to help marketers learn how to use machine learning technology to optimize customer journeys, maximize lifetime value, predict customer churn, develop customer segments based on buying patterns, and more. During the program’s four-hour video footage and hands-on labs, students can expect to become familiar with different types of machine learning tools and data preparation, and learn to implement these concepts into their company’s marketing efforts.


Course name: Machine Learning for Marketing Analytics in R

OUR OPINION: Learn how to use the R programming language in your marketing analytics efforts with this four-hour training course, covering the fundamental topics and tools you need to improve performance.

Description: This training course allows marketing analysts to expand their skills and expertise with additional insights into statistical modeling, linear regression, survival analysis, logistic regression, principal components analysis, and other data science topics. These skills help professionals improve their organization’s business decision-making processes with accurate data and proven statistics.


Course name: Marketing analytics for companies

OUR OPINION: Aimed at aspiring marketing analysts, this compact, two-hour training course uses videos and hands-on exercises to teach you how to use data, understand customers, and help grow your business.

Description: This no-code and introductory course covers all of the core responsibilities and skills a marketing analyst needs to understand customer sentiment and use that data to improve business growth. Students who enroll have access to hands-on labs, real-world data, and video lectures. These materials cover valuable marketing analysis skills such as market response models, calculating customer lifetime values ​​(LTVs), building customer segments, identifying marketing roadblocks, and measuring ROI.


Course name: Marketing analytics in spreadsheets

OUR OPINION: Spreadsheets are a reliable and indispensable tool for marketers, but keeping them organized can be a challenge. In this course, you’ll learn some proven tips and tricks to ensure clean data entry and create dynamic dashboards for your marketing datasets.

Description: Data validation is a fundamental tool for marketing analysts. However, cleaning and visualizing data is difficult. During this four-hour course, marketers will explore real-world datasets and use them to learn how to spot errors in metrics, use data validation, aggregate campaign metrics, create charts to analyze campaign performance, and use this data to develop easy-to-understand dashboards . Additional topics covered in the course video and practice content include paid advertising data, regular expressions, and the campaign tools available through Google and Bing Ads.


Course name: Marketing Analytics: Predicting Customer Churn in Python

OUR OPINION: Predicting customer churn can be a valuable asset to your company’s marketing and customer retention strategies. In this course, you will learn how to use Python to analyze historical customer churn and gain insights that will help you predict and address future patterns.

Description: Customer churn is a reality for every business in every industry. While this is inevitable, one way companies can reduce its impact is to use marketing analytics to predict when and where churn occurs and use that data to address those concerns and retain customers. This four-hour course includes 13 videos and 45 training exercises. It will help learners learn how to explore and visualize their data, model it, use machine learning technology to predict trends, communicate actionable insights to stakeholders, use the Pandas library for data analysis, and more.


READ NOW: The Best Google Analytics Training Courses for Marketers and The Best Nanograduate Programs on Udacity for Marketing Professionals

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William Jepma
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