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.

Simplilearn
Kompetenzen, die Sie erwerben: LLM Application, LangChain, Large Language Modeling, ChatGPT, Generative AI, Prompt Engineering, Text Mining, Natural Language Processing, Benchmarking, Performance Testing
Anfänger · Kurs · 1–4 Wochen

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

Universidad de los Andes
Kompetenzen, die Sie erwerben: Public Cloud, Big Data, Apache Hadoop, Apache Spark, Data Architecture, Cloud Services, Data Processing, Distributed Computing, Cloud Computing, Scalability, NoSQL, File Systems, Data Storage
Anfänger · Kurs · 1–3 Monate

Kompetenzen, die Sie erwerben: AWS SageMaker, Unsupervised Learning, Feature Engineering, Time Series Analysis and Forecasting, Amazon Web Services, Applied Machine Learning, Advanced Analytics, Machine Learning Methods, Amazon S3, Artificial Intelligence and Machine Learning (AI/ML), Cloud Computing, Machine Learning, Statistical Analysis, Forecasting, MLOps (Machine Learning Operations), Predictive Analytics, Supervised Learning, Regression Analysis, Performance Metric
Anfänger · Kurs · 1–3 Monate

Kompetenzen, die Sie erwerben: Data Import/Export, NumPy, Pandas (Python Package), Pivot Tables And Charts, Business Reporting, Data Manipulation, Analytics, Data Processing, Management Reporting, Data Wrangling, Business Analytics, Data Cleansing, Data Analysis, Data Transformation, Statistical Analysis, Data Management, Descriptive Statistics, Linear Algebra
Gemischt · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: PyTorch (Machine Learning Library), Tensorflow, Artificial Intelligence, Applied Machine Learning, Artificial Neural Networks, Deep Learning, Application Deployment, Text Mining, Machine Learning, Natural Language Processing, Predictive Modeling, Python Programming, Time Series Analysis and Forecasting, Artificial Intelligence and Machine Learning (AI/ML), Network Architecture, Performance Tuning, Data Science, Data Processing, Data Analysis
Anfänger · Spezialisierung · 1–3 Monate

University of California San Diego
Kompetenzen, die Sie erwerben: Data Modeling, Data Infrastructure, Real Time Data, Data Management, Database Systems, Data Warehousing, Data Architecture, Big Data, Data Processing, Database Management Systems, Unstructured Data, Data Storage Technologies, Scalability
Gemischt · Kurs · 1–3 Monate

Kompetenzen, die Sie erwerben: Simulations, Resource Management, Call Center Experience, Process Management, Workflow Management, Data Analysis, Process Analysis, Plot (Graphics), R Programming, Statistical Analysis, Statistical Modeling
Anfänger · angeleitetes Projekt · Weniger als 2 Stunden

Case Western Reserve University
Kompetenzen, die Sie erwerben: Exploratory Data Analysis, Spatial Data Analysis, Spatial Analysis, Geospatial Information and Technology, Descriptive Statistics, Statistical Modeling, R Programming, Geographic Information Systems, Statistical Analysis, R (Software), Probability & Statistics, Ggplot2, Oil and Gas, Data Analysis, Simulations, Statistical Methods, Rmarkdown, Data Cleansing, Box Plots, Plot (Graphics)
Mittel · Spezialisierung · 3–6 Monate

Kompetenzen, die Sie erwerben: Data Presentation, Data Storytelling, Tableau Software, Dashboard, Interactive Data Visualization, Data Visualization Software, Data Analysis, Sales Strategy, Key Performance Indicators (KPIs), Trend Analysis, Performance Analysis, Customer Complaint Resolution, Financial Data
Anfänger · Kurs · 1–3 Monate

Coursera
Kompetenzen, die Sie erwerben: Jupyter, Microsoft Excel, Spreadsheet Software, Project Schedules, Data Import/Export, Data Visualization Software, Python Programming, Email Automation, Data Literacy, Data Structures, Data Manipulation
Mittel · angeleitetes Projekt · Weniger als 2 Stunden

University of Minnesota
Kompetenzen, die Sie erwerben: Health Equity, Health Disparities, Health Systems, Public Health, Social Determinants Of Health, Healthcare Ethics, Health Policy, Data Analysis, Health Care, Data Ethics, Substance Abuse, Correlation Analysis, Heat Maps, Patient Education And Counseling, Community Mental Health Services, Data Visualization, Health Informatics, Trauma Care, Mental Health
Anfänger · Kurs · 1–3 Monate