Marketing-Analytics-Kurse können Ihnen helfen zu verstehen, wie Daten genutzt werden, um Kampagnen zu bewerten und Entscheidungen zu treffen. Sie können Fähigkeiten in Tracking, Kennzahlen, Segmentierung und Analysewerkzeugen aufbauen. Viele Kurse nutzen Beispiele und Dashboards, um Ergebnisse sichtbar zu machen.

Kompetenzen, die Sie erwerben: Analytics, R Programming, Google Sheets, Applied Machine Learning, Health Informatics, Predictive Modeling, Automation, Data Manipulation, GitHub, Gmail, Git (Version Control System)
Mittel · angeleitetes Projekt · Weniger als 2 Stunden

Northeastern University
Kompetenzen, die Sie erwerben: 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
Gemischt · Kurs · 1–3 Monate

Kompetenzen, die Sie erwerben: Matplotlib, Data Visualization, Probability & Statistics, Plotly, Statistical Analysis, Data Visualization Software, Statistical Hypothesis Testing, Seaborn, Data Science, Programming Principles, Pandas (Python Package), Statistics, Descriptive Statistics, Data Analysis, NumPy, Probability Distribution, Exploratory Data Analysis, Python Programming
Anfänger · Kurs · 1–4 Wochen

Coursera
Kompetenzen, die Sie erwerben: Salesforce Development, Salesforce, Systems Integration, Data Integration, Web Services, Application Programming Interface (API), Restful API, Complex Problem Solving, Business Solutions, OAuth, Business Requirements, Authentications
Anfänger · Kurs · 1–4 Wochen

Real Madrid Graduate School Universidad Europea
Kompetenzen, die Sie erwerben: Media and Communications, Augmented and Virtual Reality (AR/VR), Revenue Management, Innovation, Brand Management, Content Strategy, Augmented Reality, New Product Development, Digital Transformation, Storytelling, Marketing Strategy and Techniques, Trend Analysis, Sustainability Reporting, People Analytics, Metadata Management, Game Theory, Digital Design, Artificial Intelligence, Open Source Technology, 3D Modeling
Anfänger · Kurs · 1–4 Wochen

EDUCBA
Kompetenzen, die Sie erwerben: Data Lakes, Microsoft Azure, Stored Procedure, Data Architecture, Performance Tuning, Data Management, Query Languages, Data Manipulation, Scripting, SQL, Data Processing, Windows PowerShell, Microsoft Visual Studio, Command-Line Interface, Heat Maps
Mittel · Kurs · 1–3 Monate

Coursera
Kompetenzen, die Sie erwerben: Exploratory Data Analysis, Data Collection, Data Ethics, MLOps (Machine Learning Operations), Feature Engineering, Data Cleansing, Responsible AI, Applied Machine Learning, Data Analysis, Solution Design, Statistical Analysis, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Predictive Modeling, Application Deployment, Generative AI, Continuous Monitoring
Mittel · Kurs · 1–3 Monate

Kompetenzen, die Sie erwerben: Feasibility Studies, Market Opportunities, Growth Strategies, Business Development, Business Planning, Sales Presentations, Entrepreneurship, Business Strategies, Strategic Partnership, Strategic Thinking, Proposal Development, Business Analysis, Market Analysis
Gemischt · Kurs · 1–4 Wochen

University of Colorado Boulder
Kompetenzen, die Sie erwerben: Pandas (Python Package), NumPy, Data Structures, Data Import/Export, Data Manipulation, Data Cleansing, Statistical Methods, Data Analysis, Exploratory Data Analysis
Mittel · Kurs · 1–3 Monate

Johns Hopkins University
Kompetenzen, die Sie erwerben: Program Evaluation, Health Equity, Quantitative Research, Data Analysis, Statistical Analysis, Analysis, Statistical Reporting, Data Collection, Sampling (Statistics), Public Health and Disease Prevention, STATA (Software), Data Quality, Research Design
Mittel · Kurs · 1–3 Monate

Kompetenzen, die Sie erwerben: Data Manipulation, Applied Machine Learning, Supervised Learning, Machine Learning, Pandas (Python Package), Artificial Intelligence and Machine Learning (AI/ML), Predictive Modeling, Machine Learning Algorithms, Unsupervised Learning, Taxonomy, Data Mining, Data Analysis, Deep Learning, Matplotlib
Mittel · Kurs · 1–3 Monate

Kompetenzen, die Sie erwerben: Python Programming, Scripting, Data Processing, Data Analysis, Automation, Programming Principles, Object Oriented Programming (OOP)
Anfänger · angeleitetes Projekt · Weniger als 2 Stunden