Deep-Learning-Kurse können Ihnen helfen zu lernen, wie neuronale Netze aufgebaut, trainiert und bewertet werden. Sie können Fähigkeiten in Modellarchitekturen, Optimierung, Datenaufbereitung und Evaluationsmethoden aufbauen. Viele Kurse stellen Frameworks und Tools vor, die das Experimentieren mit tiefen Modellen unterstützen.

Kompetenzen, die Sie erwerben: Fraud detection, Marketing Analytics, Data-Driven Marketing, Predictive Modeling, People Analytics, Customer Analysis, Feature Engineering, Marketing Effectiveness, Exploratory Data Analysis, Anomaly Detection, Customer Retention, Advanced Analytics, Market Analysis, Loss Prevention, Predictive Analytics, Statistical Analysis, Analytics, R Programming, R (Software), Analytical Skills
Anfänger · Spezialisierung · 1–3 Monate

University of Pennsylvania
Kompetenzen, die Sie erwerben: Creative Thinking, Creativity, Creative Problem-Solving, Ideation, Innovation, Architectural Design, AI powered creativity, Problem Solving, Design Thinking, Artificial Intelligence and Machine Learning (AI/ML), Entrepreneurship, Architecture and Construction, Advertising, Marketing, Game Design, Animation and Game Design, Emerging Technologies, Consumer Behaviour, Experimentation, Team Collaboration
Anfänger · Kurs · 1–3 Monate

Kompetenzen, die Sie erwerben: Unreal Engine, Virtual Environment, Video Game Development, Game Design, Animation and Game Design, Interaction Design, User Interface (UI), UI Components, Development Environment
Anfänger · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: Creativity, Creative Thinking, Brainstorming, Courage, Overcoming Obstacles, Curiosity, Self-Awareness, Aesthetics, Personal Development, Emotional Intelligence
Anfänger · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: Financial Forecasting, Financial Data, Variance Analysis, Financial Analysis, Budgeting, Financial Modeling, Cost Management, Forecasting, Cost Control, Supervised Learning, Financial Planning, Predictive Modeling, Risk Modeling, Decision Intelligence, Risk Analysis, Credit Risk, Model Evaluation, Performance Analysis, Performance Stress Testing, Data Pipelines
Mittel · Kurs · 1–3 Monate

Kompetenzen, die Sie erwerben: Data Dictionary, Data Quality, Data Management, Data Cleansing, Data Validation, Data Maintenance, Data Integrity, Case Studies, Team Leadership, Communication Strategies, Stakeholder Communications, Cross-Functional Collaboration
Anfänger · Kurs · 1–4 Wochen

EDUCBA
Kompetenzen, die Sie erwerben: Extensible Markup Language (XML), Extensible Languages and XML, Data Validation, Interoperability, Data Integrity, Data Mapping
★ 4.3 (20) · Mittel · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: Application Development, Application Design, Cross Platform Development
Anfänger · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: Probability & Statistics, NumPy, Matplotlib, Statistics, Data Visualization, Applied Machine Learning, Statistical Hypothesis Testing, Python Programming, Pandas (Python Package), Seaborn, Machine Learning, Mathematics and Mathematical Modeling, Model Optimization, Applied Mathematics, Statistical Analysis, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Data Science, Programming Principles, Probability
Anfänger · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: Speicherverwaltung, Paket- und Softwareverwaltung, Andere Programmiersprachen, Sichere Kodierung, Befehlszeilenschnittstelle, Computerprogrammierung, Grundsätze der Programmierung, Rust (Programmiersprache), Software-Entwicklung, Computer Programmierung, Programm-Entwicklung, Go (Programmiersprache), C (Programmiersprache)
Mittel · angeleitetes Projekt · Weniger als 2 Stunden

Kompetenzen, die Sie erwerben: PostgreSQL, Relational Databases, Database Design, Database Development, Database Management, SQL, Database Management Systems, Data Integrity, Query Languages, Business Intelligence, People Analytics, Data Analysis, Transaction Processing, Data Manipulation, Data Validation, Software Installation
Anfänger · Spezialisierung · 1–3 Monate

Kompetenzen, die Sie erwerben: Data Literacy, Financial Trading, Financial Market, Descriptive Statistics, Market Data, Statistics, Statistical Methods, Technical Analysis, Derivatives, Risk Modeling, Statistical Analysis, Market Dynamics, Securities Trading, Risk Analysis, Market Analysis, Statistical Modeling, Financial Modeling, Performance Measurement, Performance Analysis, Probability Distribution
Anfänger · Kurs · 1–4 Wochen