Datenanalyse-Kurse können Ihnen helfen, Datensätze zu untersuchen, Muster zu erkennen und Ergebnisse verständlich darzustellen. Sie können Fähigkeiten in Statistik, Visualisierung, Datenaufbereitung und grundlegenden Analyseverfahren aufbauen. Viele Kurse führen in Tabellenkalkulationen, Visualisierungstools und Analyse-Workflows ein.

Universidad de los Andes
Kompetenzen, die Sie erwerben: Recurrent Neural Networks (RNNs), Generative AI, Deep Learning, Convolutional Neural Networks, Generative Model Architectures, Generative Adversarial Networks (GANs), Transfer Learning, Vision Transformer (ViT), Image Analysis, Artificial Neural Networks, Machine Learning Methods, Model Optimization, Network Architecture, Natural Language Processing, Model Training
Auf einen Abschluss hinarbeiten
Anfänger · Kurs · 1–4 Wochen

ESSEC Business School
Kompetenzen, die Sie erwerben: Meeting Facilitation, Collaboration, Organizational Skills, Cooperation, Discussion Facilitation, Team Building, Drive Engagement, Teamwork, Innovation, Conflict Management, Knowledge Transfer, Decision Making
Anfänger · Kurs · 1–4 Wochen

Packt
Kompetenzen, die Sie erwerben: Communication, Communication Strategies, Influencing, Verbal Communication Skills, Interpersonal Communications, Persuasive Communication, Writing, Business Writing, Motivational Skills, Business Correspondence, Empowerment, Rapport Building, Decision Making, Collaboration, Learning Styles
Anfänger · Kurs · 1–4 Wochen

Coursera
Kompetenzen, die Sie erwerben: Model Context Protocol, AI Integrations, Performance Tuning
Mittel · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: Data Visualization, Interactive Data Visualization, Data Transformation, Data Processing, Data Presentation, Business Intelligence Software, Business Intelligence, Data Analysis, Extract, Transform, Load, Exploratory Data Analysis, Data Collection, Data Pipelines, Data Access, Music, Development Environment, Python Programming
Mittel · angeleitetes Projekt · Weniger als 2 Stunden

The State University of New York
Kompetenzen, die Sie erwerben: Job Analysis, Adaptability, Professional Development, Dealing With Ambiguity, Personal Development, Lifelong Learning, Branding, Gap Analysis, Competitive Analysis, Self-Awareness, Dashboard, Portfolio Management, Goal Setting
Mittel · Kurs · 1–3 Monate
University of Illinois Urbana-Champaign
Kompetenzen, die Sie erwerben: Model Evaluation, Machine Learning Algorithms, Model Optimization, Scikit Learn (Machine Learning Library), Model Training, Unsupervised Learning, Text Mining, Time Series Analysis and Forecasting, Pandas (Python Package), Classification Algorithms, Machine Learning, Applied Machine Learning, Supervised Learning, Predictive Modeling, Unstructured Data, Feature Engineering, Jupyter, Regression Analysis, Data Preprocessing, Python Programming
Auf einen Abschluss hinarbeiten
Mittel · Kurs · 1–3 Monate

Google Cloud
Kompetenzen, die Sie erwerben: Tensorflow, Model Deployment, Keras (Neural Network Library), Cloud Deployment, Google Cloud Platform, Model Training, Deep Learning, Machine Learning Methods, Model Optimization, Data Pipelines, Feature Engineering, Data Preprocessing, Applied Machine Learning, Model Evaluation, Artificial Neural Networks, Data Import/Export
Mittel · Kurs · 1–3 Monate

Fundação Instituto de Administração
Anfänger · Kurs

Kompetenzen, die Sie erwerben: Mobile Development, Mobile Development Tools, iOS Development, Other Mobile Programming Languages, Flutter (Software), Integrated Development Environments, Development Environment, Apple iOS, Android Studio, Computer Programming Tools, Application Development, Swift Programming, Test Tools, React Native, Apple Xcode, Application Frameworks, Web Applications, Cross Platform Development, Software Testing, Cloud Hosting
Anfänger · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: Data Ethics, No-Code Development, Artificial Intelligence and Machine Learning (AI/ML), Model Deployment, Data Cleansing, Data Preprocessing, Artificial Intelligence, Data Quality, AI literacy, Human Computer Interaction, Business Solutions, Machine Learning, Data Wrangling, Business Metrics, Data Storytelling, Generative AI, Business Analytics, Data Validation, Dashboard, Automation
Anfänger · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: Tidyverse (R Package), Model Evaluation, Data Visualization, Clinical Data Management, Statistical Visualization, Data Preprocessing, Model Deployment, Exploratory Data Analysis, Data Manipulation, Data Wrangling, Model Training, Predictive Modeling, Model Optimization, R Programming, Data Processing, R (Software), Ggplot2, MLOps (Machine Learning Operations), Predictive Analytics, Machine Learning
Mittel · angeleitetes Projekt · Weniger als 2 Stunden