Course Overview
Course Description
This comprehensive 5-day course introduces participants to the fundamentals of data science and its application in business intelligence. Participants will learn how to collect, analyze, and interpret data to drive informed decision-making and business growth. The course covers key concepts, tools, and techniques used in data science and BI, with a focus on practical applications in real-world business scenarios.
Learning Objectives
- Understand the core concepts and principles of data science and business intelligence
- Learn to collect, clean, and prepare data for analysis
- Master essential data analysis and visualization techniques
- Develop skills in predictive modeling and machine learning for business applications
- Gain proficiency in using popular data science and BI tools
- Learn to communicate data-driven insights effectively to stakeholders
Course Modules
Day 1: Introduction to Data Science and Business Intelligence
- Overview of data science and its role in business
- Key concepts in business intelligence
- Data types and sources
- Introduction to data collection and preparation
Day 2: Data Analysis and Visualization
- Exploratory data analysis techniques
- Statistical analysis for business insights
- Data visualization principles and best practices
- Hands-on experience with visualization tools
Day 3: Predictive Analytics and Machine Learning
- Introduction to predictive modeling
- Supervised and unsupervised learning algorithms
- Model evaluation and selection
- Applying machine learning to business problems
Day 4: Big Data and Advanced Analytics
- Introduction to big data technologies
- Text analytics and natural language processing
- Time series analysis and forecasting
- Advanced data mining techniques
Day 5: Implementing Data Science in Business
- Data-driven decision making frameworks
- Building and managing data science teams
- Ethics and privacy in data science
- Communicating insights to stakeholders
- Future trends in data science and BI
Practical Wins for Participants
- Ability to identify and leverage data-driven opportunities for business growth
- Proficiency in using popular data analysis and visualization tools
- Skills to develop basic predictive models for business applications
- Improved ability to communicate data-driven insights to non-technical stakeholders
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