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         Introduction to Data Science and AI using Python培訓(xùn)

Introduction to Data Science/AI
Knowledge acquisition through data
Knowledge representation
Value creation
Data Science overview
AI ecosystem and new approach to analytics
Key technologies
Data Science workflow
Crisp-dm
Data preparation
Model planning
Model building
Communication
Deployment
Data Science technologies
Languages used for prototyping
Big Data technologies
End to end solutions to common problems
Introduction to Python language
Integrating Python with Spark
AI in Business
AI ecosystem
Ethics of AI
How to drive AI in business
Data sources
Types of data
SQL vs NoSQL
Data Storage
Data preparation
Data Analysis – Statistical approach
Probability
Statistics
Statistical modeling
Applications in business using Python
Machine learning in business
Supervised vs unsupervised
Forecasting problems
Classfication problems
Clustering problems
Anomaly detection
Recommendation engines
Association pattern mining
Solving ML problems with Python language
Deep learning
Problems where traditional ML algorithms fails
Solving complicated problems with Deep Learning
Introduction to Tensorflow
Natural Language processing
Data visualization
Visual reporting outcomes from modeling
Common pitfalls in visualization
Data visualization with Python
From Data to Decision – communication
Making impact: data driven story telling
Influence effectivnes
Managing Data Science projects