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Data Science: Analyst
Course Description
Overview
Advance your Data Science skills and master techniques to turn data into insights. Gain proficiency in advanced analytics, machine learning, and business intelligence for complex business challenges.Objectives
- Learn core data science principles, tools, and techniques to analyze structured and unstructured data and extract actionable insights
- Learn essential programming skills in R and Python to solve complex data challenges
- Master techniques for data organization and analysis to support business decision-making
- Grasp core statistical methods and probability theory, and how they support effective data analysis and prediction
- Dive into algorithms and AI tools to build predictive models and automate decision-making
- Learn data governance principles and anonymization techniques to protect privacy and ensure compliance in data management
Audience
- Software Developer
- Data Scientist
- Data Analyst
- Data Engineer
- Business Analyst
- Big Data Developer
- Database Administration
Topics
- The Basics of Data Science
- Key Concepts of Programming
- Key Concepts of Data Management and Business Intelligence
- Statistics, Probability and Advanced Statistical Topics
- Machine Learning and Artificial Intelligence
- Data Visualization Methods
- Data Governance, Data Anonymization
Related Courses
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Data Science: Foundation
PCDO-DSF- 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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