Data-Engineering-Kurse können Ihnen helfen zu lernen, wie Datenpipelines aufgebaut, Systeme integriert und Daten effizient verarbeitet werden. Sie können Fähigkeiten in ETL-Prozessen, Datenmodellierung, Orchestrierung und Umgang mit großen Datenmengen aufbauen. Viele Kurse stellen Tools und Plattformen für moderne Dateninfrastrukturen vor.

The State University of New York
Kompetenzen, die Sie erwerben: Facility Management, Event Management, Legal Risk, Contract Management, Facility Operations, Events and Conferences, Calendar Management, People Analytics, Performance Analysis, Financial Data, Driving engagement, Analytics, Data Management, Data Literacy, Scheduling, Labor Relations, Workforce Management, Data Analysis, Law, Regulation, and Compliance, Data-Driven Decision-Making
Anfänger · Spezialisierung · 3–6 Monate

Kompetenzen, die Sie erwerben: Data Cleansing, Data Transformation, Alteryx, Data Manipulation, Data Import/Export, Data Wrangling, Data Processing, Data Preprocessing, Workflow Management, Email Automation, Data Literacy, Scheduling, Automation, Exploratory Data Analysis
Mittel · angeleitetes Projekt · Weniger als 2 Stunden

Northeastern University
Kompetenzen, die Sie erwerben: Text Mining, Data Mining, Time Series Analysis and Forecasting, Classification Algorithms, Artificial Neural Networks, Trend Analysis, Unstructured Data, Regression Analysis, Machine Learning Algorithms, Supervised Learning, Feature Engineering, Unsupervised Learning, Predictive Modeling, Forecasting, Deep Learning, Data Preprocessing
Mittel · Kurs · 1–3 Monate

DeepLearning.AI
Kompetenzen, die Sie erwerben: Web Scraping, Extract, Transform, Load, Data Manipulation, Data Wrangling, Data Preprocessing, Data Validation, Data Processing, Data Ethics, Data Import/Export, Data Cleansing, SQL, Data Transformation, JSON, Query Languages, Data Pipelines, Pandas (Python Package), Data Collection, Generative AI, Relational Databases, Unstructured Data
Anfänger · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: Data Storytelling, Business Metrics, Concision, Analytical Skills, Persuasive Communication
Anfänger · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: Data Analysis Expressions (DAX), Dashboard, Dashboard Creation, Power BI, Microsoft Power Platform, Data Visualization, Data Transformation, Data Modeling, Data Presentation, Data Import/Export, Data Wrangling, Data Visualization Software, Interactive Data Visualization, Data Analysis, Analytics, Data Cleansing, Role-Based Access Control (RBAC), Data Management
Mittel · Kurs · 1–4 Wochen

ESSEC Business School
Kompetenzen, die Sie erwerben: Peer Review, Analytical Skills, Complex Problem Solving, Data Synthesis, Data Literacy, Data Analysis, Constructive Feedback, Data Storytelling, Value Propositions, Data Integration, Exploratory Data Analysis, Data Presentation, Presentations
Gemischt · Kurs · 1–3 Monate

Kompetenzen, die Sie erwerben: Data Warehousing, Extract, Transform, Load, Snowflake Schema, Star Schema, Business Intelligence, Data Modeling, Database Design, Data Management, Data Integration, Performance Tuning, Databases, Data Transformation, Query Languages, Performance Improvement
Anfänger · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: Data Storytelling, Data Visualization Software, Dashboard Creation, Dashboard, Data Analysis Software, Data Analysis, Advanced Analytics, Interactive Data Visualization, Data Manipulation, Data Presentation, Data Transformation, Data Sharing, Embeddings
Fortgeschritten · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: Data Management, Data Quality, Data Validation, Data Integrity, Data Pipelines, YAML, Verification And Validation, Quality Assurance, Test Automation, SQL
Anfänger · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: Logistic Regression, SAS (Software), Predictive Analytics, Predictive Modeling, Advanced Analytics, Feature Engineering, Statistical Software, Model Evaluation, Data Analysis, Statistical Analysis, Regression Analysis, Statistical Modeling, Exploratory Data Analysis, Correlation Analysis, Statistical Methods, Statistical Hypothesis Testing, Probability & Statistics, Data Transformation, Descriptive Statistics, Graphing
Mittel · Kurs · 1–4 Wochen

University of Michigan
Kompetenzen, die Sie erwerben: Data Visualization, Exploratory Data Analysis, Statistical Visualization, Plot (Graphics), Statistical Analysis, Data Presentation, Policy Analysis, Research, and Development, Ggplot2, Program Evaluation, Policy Analysis, Surveys, Data Ethics, R (Software), Data Literacy, Data Analysis, Tidyverse (R Package), R Programming, Statistical Methods, Analytical Skills, Case Studies
Mittel · Spezialisierung · 3–6 Monate