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.

Universidades AnƔhuac
Skills you'll gain: Interactive Data Visualization, Infographics, Data Storytelling, Data Presentation, Data Visualization Software, User Experience Design, Multimedia, Statistical Visualization, Data Analysis, Information Architecture, Design Elements And Principles
Beginner Ā· Course Ā· 1 - 3 Months

Skills you'll gain: C# (Programming Language), Data Validation, Integrated Development Environments, Debugging
Intermediate Ā· Guided Project Ā· Less Than 2 Hours

Skills you'll gain: Teamwork, Team Building, Leadership, Adaptability, Strategic Leadership, Resilience, Professional Development, Diversity and Inclusion, Productivity, Decision Making, Personal Development, Business, Problem Solving, Self-Awareness, Change Management
Beginner Ā· Course Ā· 1 - 3 Months

Skills you'll gain: Kubernetes, Google Cloud Platform, Serverless Computing, Cloud-Native Computing, Cost Management, Cloud Infrastructure, Cloud Computing Architecture, Cloud Computing, Infrastructure As A Service (IaaS), Hybrid Cloud Computing, Cloud Management, Data Processing, System Monitoring, Application Performance Management, Cloud Security, Big Data, Identity and Access Management, Data Warehousing, Cloud Services, Virtual Private Networks (VPN)
Intermediate Ā· Specialization Ā· 1 - 3 Months

Packt
Skills you'll gain: Governance, People Management, Team Building, Team Management, Relationship Management, Financial Management, Business Leadership, Leadership Development, Organizational Leadership, Personal Development, Overcoming Obstacles, Leadership, Entrepreneurship, Resilience, Innovation, Entrepreneurial Finance, Business Strategy, Culture Transformation, Business Operations, Growth Strategies
Beginner Ā· Course Ā· 1 - 4 Weeks

Skills you'll gain: Microsoft Azure, Real Time Data, Serverless Computing, Cloud Applications, Virtual Machines, Cloud Computing Architecture, Microservices, Event-Driven Programming, Solution Architecture, Infrastructure As A Service (IaaS), Cloud Services, Containerization, Application Programming Interface (API)
Intermediate Ā· Course Ā· 1 - 4 Weeks

Google Cloud
Skills you'll gain: Looker (Software), Performance Tuning, Query Languages, Data Management, Data Warehousing, Data Visualization Software, Data Analysis
Intermediate Ā· Project Ā· Less Than 2 Hours

Skills you'll gain: Data Preprocessing, Data Transformation, Feature Engineering, Pandas (Python Package), Text Mining, Predictive Modeling, Scikit Learn (Machine Learning Library), Python Programming, Data Analysis, Machine Learning
Intermediate Ā· Course Ā· 1 - 4 Weeks

Skills you'll gain: A/B Testing, Sampling (Statistics), Statistical Inference, Estimation, Statistical Analysis, Analytics, Probability & Statistics, Data Analysis, Correlation Analysis, Descriptive Statistics
Beginner Ā· Course Ā· 1 - 4 Weeks

Skills you'll gain: Pandas (Python Package), Web Scraping, Python Programming, Jupyter, Image Analysis, Data Manipulation, Computer Vision, Data Analysis, Natural Language Processing, Data Visualization Software, Matplotlib, Data Import/Export, Unstructured Data, Data Collection
Intermediate Ā· Course Ā· 1 - 4 Weeks

Skills you'll gain: Predictive Modeling, Model Evaluation, Regression Analysis, Scikit Learn (Machine Learning Library), Probability & Statistics, Statistical Inference, Business Analytics, Data Analysis, Statistical Analysis, Probability Distribution, Estimation, Machine Learning
Beginner Ā· Course Ā· 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 Ā· Course Ā· 1 - 4 Weeks