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AI, Data Science & Data Analytics Training: Courses, Workshops and Seminars
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Data Literacy for Everyone
Fundamentals of AI, Machine Learning, Data Science and Predictive Analytics
2 day courses A-Da
Advanced Analytics Using Apache Spark
Advanced Deep Learning
Advanced Fraud and Anomaly Detection
Advanced Machine Learning Masterclass I
Advanced Machine Learning Masterclass II: Random Forest
Advanced Python 1
Advanced Python 2
Advanced R 1
Advanced R 2
Agile Insights
Agile Transition
Blockchain, Smart Contracts and Cryptocurrency
Critical Thinking for Data Analytics
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Data-Driven Management
Data Literacy for Everyone
Data Governance I
Data Transformation and Analysis Using Apache Spark
2 Day Courses De-Z
Deep Learning and AI
DevOps Overview
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DevOps Teamwork
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DevOps Build Management
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DevOps Configuration Management
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DevOps Version Control
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DevOps Test Automation
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DevOps Release Management
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DevOps Management and Governance
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Forecasting and Trend Analysis
Fraud and Anomaly Detection
Fundamentals of AI, Machine Learning, Data Science and Predictive Analytics
Intro to Python for Data Analysis
Intro to R (+ data visualisation)
Leadership and Resilience Skills for Data Professionals
Quantum Computing
Persuasive Presenting Masterclass
Stream and Event Processing using Apache Spark
Text and Language Analytics
Your Successful Digital Business Case
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1 day workshops A-Z
Agile Data Management Architecture
AI and Data Science for Managers and Executives
Best Practices in Enterprise Information Management
Capacity Planning for Enterprise Data Deployment
Cost-Based Optimisation: Obtaining the Best Execution Plan for Complex Queries
Data Science and Big Data Analytics: Leveraging Best Practices and Avoiding Pitfalls
Innovating with Best Practices to Modernise Delivery Architecture and Governance
Modernising Your Data Warehouse and Analytic Ecosystem
Optimising Your Big Data Ecosystem
Overcoming Information Overload with Advanced Practices in Data Visualisation
Real-Time Analytics Development and Deployment
Social Network Analysis: Practical Use Cases and Implementation
Stars, Flakes, Vaults and the Sins of Denormalisation
The Future of Analytics
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Jeffrey Aven
Tristan Blakers
Michelle Bowden
Stephen Brobst
Mark Burnard
Dr Eugene Dubossarsky
Alexander Heidl
Katrina Loukas
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