Most popular
-60%
Business Analytics
What you'll learn
Week 1-2: Introduction to Business Analytics
Understanding the role of analytics in business
Overview of business analytics tools and technologies
Data types and data sources in business
Week 3-4: Data Management and Preprocessing
Data collection and data cleaning techniques
Data integration and transformation
Basics of database management and SQL
Week 5-6: Descriptive Analytics and Visualization
Techniques for descriptive statistical analysis
Introduction to data visualization tools (e.g., Tableau, Power BI)
Creating dashboards and reports for business insights
Week 7-8: Predictive Analytics
Basics of predictive modeling and algorithms
Regression analysis, classification models, and forecasting
Application of predictive analytics in business scenarios
Week 9-10: Prescriptive Analytics and Optimization
Understanding prescriptive analytics and decision models
Linear programming and optimization techniques
Case studies on prescriptive analytics in business
Week 11-12: Big Data and Machine Learning
Introduction to big data analytics
Basics of machine learning in business analytics
Applications of machine learning in various business domains
Week 13-14: Analytics Strategy and Implementation
Developing an analytics strategy for businesses
Challenges in implementing analytics solutions
Measuring the impact of business analytics
Week 15: Course Review and Final Assessment
Course Materials and Assessment:
Study Materials: Comprehensive lecture notes, in-depth case studies, video tutorials, and essential readings.
Quizzes/Case Studies: Regular quizzes and case studies for practical application of business analytics concepts.
MCQs: Multiple choice questions to evaluate theoretical and practical understanding.
Simulations: Interactive business analytics simulations for hands-on experience.
Final Project: Developing a business analytics project, encompassing data analysis, visualization, and strategic recommendations.
Trending
-60%
Business Analytics
What you'll learn
Week 1-2: Introduction to Business Analytics
Understanding the role of analytics in business
Overview of business analytics tools and technologies
Data types and data sources in business
Week 3-4: Data Management and Preprocessing
Data collection and data cleaning techniques
Data integration and transformation
Basics of database management and SQL
Week 5-6: Descriptive Analytics and Visualization
Techniques for descriptive statistical analysis
Introduction to data visualization tools (e.g., Tableau, Power BI)
Creating dashboards and reports for business insights
Week 7-8: Predictive Analytics
Basics of predictive modeling and algorithms
Regression analysis, classification models, and forecasting
Application of predictive analytics in business scenarios
Week 9-10: Prescriptive Analytics and Optimization
Understanding prescriptive analytics and decision models
Linear programming and optimization techniques
Case studies on prescriptive analytics in business
Week 11-12: Big Data and Machine Learning
Introduction to big data analytics
Basics of machine learning in business analytics
Applications of machine learning in various business domains
Week 13-14: Analytics Strategy and Implementation
Developing an analytics strategy for businesses
Challenges in implementing analytics solutions
Measuring the impact of business analytics
Week 15: Course Review and Final Assessment
Course Materials and Assessment:
Study Materials: Comprehensive lecture notes, in-depth case studies, video tutorials, and essential readings.
Quizzes/Case Studies: Regular quizzes and case studies for practical application of business analytics concepts.
MCQs: Multiple choice questions to evaluate theoretical and practical understanding.
Simulations: Interactive business analytics simulations for hands-on experience.
Final Project: Developing a business analytics project, encompassing data analysis, visualization, and strategic recommendations.
Popular Instructors
All Business Analytics***** Courses
-60%
Business Analytics
Business Analytics, a core course in the MBA program, is …
What you'll learn
Week 1-2: Introduction to Business Analytics
Understanding the role of analytics in business
Overview of business analytics tools and technologies
Data types and data sources in business
Week 3-4: Data Management and Preprocessing
Data collection and data cleaning techniques
Data integration and transformation
Basics of database management and SQL
Week 5-6: Descriptive Analytics and Visualization
Techniques for descriptive statistical analysis
Introduction to data visualization tools (e.g., Tableau, Power BI)
Creating dashboards and reports for business insights
Week 7-8: Predictive Analytics
Basics of predictive modeling and algorithms
Regression analysis, classification models, and forecasting
Application of predictive analytics in business scenarios
Week 9-10: Prescriptive Analytics and Optimization
Understanding prescriptive analytics and decision models
Linear programming and optimization techniques
Case studies on prescriptive analytics in business
Week 11-12: Big Data and Machine Learning
Introduction to big data analytics
Basics of machine learning in business analytics
Applications of machine learning in various business domains
Week 13-14: Analytics Strategy and Implementation
Developing an analytics strategy for businesses
Challenges in implementing analytics solutions
Measuring the impact of business analytics
Week 15: Course Review and Final Assessment
Course Materials and Assessment:
Study Materials: Comprehensive lecture notes, in-depth case studies, video tutorials, and essential readings.
Quizzes/Case Studies: Regular quizzes and case studies for practical application of business analytics concepts.
MCQs: Multiple choice questions to evaluate theoretical and practical understanding.
Simulations: Interactive business analytics simulations for hands-on experience.
Final Project: Developing a business analytics project, encompassing data analysis, visualization, and strategic recommendations.
