Marketing analytics courses can help you learn data analysis, customer segmentation, campaign performance measurement, and return on investment calculations. You can build skills in interpreting marketing metrics, optimizing digital strategies, and leveraging consumer insights to drive decisions. Many courses introduce tools like Google Analytics, Tableau, and Excel, that support analyzing data and visualizing trends, enabling you to apply your skills in real marketing scenarios.

Google Cloud
Skills you'll gain: Generative AI, Google Cloud Platform, MLOps (Machine Learning Operations), Cloud Infrastructure, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Big Data, Prompt Engineering, Data Infrastructure, Model Deployment, Machine Learning, Model Evaluation, Natural Language Processing
Beginner · Course · 1 - 3 Months

Northeastern University
Skills you'll gain: Data Governance, Extract, Transform, Load, Data Warehousing, Data Integration, DevOps, Data Pipelines, CI/CD, Data Architecture, Infrastructure as Code (IaC), Data Quality, Amazon Redshift, Cloud Computing, Database Architecture and Administration, Cloud Computing Architecture, Analytics, Data Transformation, Amazon S3, Scalability
Mixed · Course · 1 - 3 Months

Google Cloud
Skills you'll gain: Query Languages, Data Access, Database Management, Data Manipulation, Cloud API, Google Cloud Platform, Data Analysis
Intermediate · Project · Less Than 2 Hours

Skills you'll gain: Hugging Face, Large Language Modeling, Transfer Learning, Text Mining, Semantic Web, Tensorflow, PyTorch (Machine Learning Library), Recurrent Neural Networks (RNNs), Embeddings, Python Programming, Applied Machine Learning, Unsupervised Learning
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Slack (Software), Internal Communications, Organizational Structure, Strategic Communication, Stakeholder Communications, Technical Communication, Stakeholder Engagement, Organizational Effectiveness, Collaborative Software, Team Management
Beginner · Guided Project · Less Than 2 Hours

Board Infinity
Skills you'll gain: Data Literacy, Data Analysis, Trend Analysis, Data Presentation, Analytical Skills, Analysis, Data Visualization, Logical Reasoning, Arithmetic, Estimation, Decision Making
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Matplotlib, Data Visualization Software, Data Visualization, Pandas (Python Package), Jupyter, Data Import/Export, Data Science, Data Analysis, Analytical Skills, Python Programming, Scripting
Beginner · Guided Project · Less Than 2 Hours

Skills you'll gain: Facebook, Billing, Target Audience, Advertising Campaigns, Budget Management, Advertising, Digital Advertising, Social Media Campaigns, Marketing, Social Media Marketing, Social Work
Beginner · Guided Project · Less Than 2 Hours

Skills you'll gain: PySpark, Apache Hadoop, Apache Spark, Big Data, Apache Hive, Analytics, Data Processing, Text Mining, Data Transformation, Distributed Computing, Java, Debugging, Java Programming
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Natural Language Processing, Data Ethics, Responsible AI, Text Mining, Large Language Modeling, Model Evaluation, Embeddings, Data Preprocessing, Transfer Learning, Artificial Intelligence and Machine Learning (AI/ML), Time Series Analysis and Forecasting, Data Analysis, Unstructured Data, Data Cleansing, Data Processing, Classification Algorithms, Deep Learning, Machine Learning Methods, Unified Modeling Language, Machine Learning Algorithms
Intermediate · Course · 1 - 4 Weeks
Johns Hopkins University
Skills you'll gain: Health Policy, Data Presentation, Data Quality, Data Literacy, Data Visualization, Public Health, Health Equity, Health Care, Policy Development, Data Strategy, Public Health and Disease Prevention, Health Information Management, Policy Analysis, Data-Driven Decision-Making, Data Collection, Data Analysis, Data Management
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Matplotlib, NumPy, Pandas (Python Package), Applied Machine Learning, Python Programming, Scikit Learn (Machine Learning Library), Data Visualization, Supervised Learning, Feature Engineering, Machine Learning, Natural Language Processing, Machine Learning Algorithms, Text Mining, Data Manipulation, Unsupervised Learning, Model Evaluation, Data Preprocessing, Classification Algorithms
Mixed · Course · 1 - 4 Weeks