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Data Science: Foundation
Course Description
Overview
Build a solid understanding of Data Science fundamentals and learn how to extract insights from data to solve business problems, enhance efficiency, and drive informed decisions.Objectives
- Learn the fundamentals of Data Science and core data science principles, tools, and techniques to process structured and unstructured data into actionable insights
- Understand programming essentials like variables, functions, and loops using R or Python for data analysis and modeling
- Explore data management techniques including relational databases, NoSQL, and business intelligence fundamentals
- Grasp core statistical methods and probability theory and how they support effective data analysis and prediction
- Discover how machines learn from data using supervised, unsupervised, and reinforcement learning techniques
- Learn AI concepts like natural language processing, computer vision, and how AI supports decision-making and automation
- Master the art of visual storytelling through charts, graphs, and dashboards to present data with clarity and impact
- Understand ethical data use, governance policies, and how to ensure data privacy and protection including GDPR compliance
Audience
Topics
- Processing structured and unstructured data into actionable insights
- Variables, functions, and loops
- Using R or Python for data analysis and modeling
- Relational databases
- NoSQL
- Business intelligence fundamentals
- Core statistical methods
- Probability theory and its application to data analysis and prediction
- Supervised learning
- Unsupervised learning
- Reinforcement learning
- Natural language processing
- Computer vision
- AI support for decision-making and automation
- Charts, graphs, and dashboards
- Visual storytelling for presenting data with clarity and impact
- Ethical data use
- Governance policies
- Data privacy and protection
- GDPR compliance
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Data Science: Analyst
PCDO-DSA- Duration: 2 Days
- Delivery Format: Classroom Training, Online Training
- Price: 1,690.00 USD
Self-Paced Training Info
Learn at your own pace with anytime, anywhere training
- Same in-demand topics as instructor-led public and private classes.
- Standalone learning or supplemental reinforcement.
- e-Learning content varies by course and technology.
- View the Self-Paced version of this outline and what is included in the SPVC course.
- Learn more about e-Learning
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