Most popular
-50%
Data Management and Strategy
20 hours
Beginner
What you'll learn
Week 1-2: Introduction to Data Management
The role of data in modern business
Basics of data management
Data lifecycle management
Week 3-4: Data Governance and Quality
Principles of data governance
Ensuring data quality and integrity
Regulatory and compliance issues in data management
Week 5-6: Data Warehousing and Storage
Overview of data warehousing techniques
Data storage solutions and architecture
Extract, Transform, Load (ETL) processes
Week 7-8: Data Mining and Analysis
Introduction to data mining techniques
Data exploration and pattern discovery
Tools and software for data analysis
Week 9-10: Big Data and Advanced Analytics
Understanding big data concepts
Advanced analytics techniques (e.g., machine learning, AI)
Applications of big data in business
Week 11-12: Data Visualization and Reporting
Techniques for effective data visualization
Tools for creating dashboards and reports (e.g., Tableau, Power BI)
Communicating insights through data
Week 13-14: Data Strategy and Decision Making
Developing a data-driven strategy
Leveraging data for competitive advantage
Case studies of data-driven decision making
Week 15: Course Review and Final Assessment
Course Materials and Assessment:
Study Materials: Comprehensive lecture notes, case studies, video tutorials, and essential readings.
Quizzes/Case Studies: Regular quizzes and case studies for practical application of data management concepts.
MCQs: Multiple choice questions to evaluate understanding of data management and strategy.
Simulations: Interactive simulations related to data management and analysis.
Final Project: Developing a data management strategy or conducting a data analysis project for a real or hypothetical company.
Trending
-50%
Data Management and Strategy
20 hours
Beginner
What you'll learn
Week 1-2: Introduction to Data Management
The role of data in modern business
Basics of data management
Data lifecycle management
Week 3-4: Data Governance and Quality
Principles of data governance
Ensuring data quality and integrity
Regulatory and compliance issues in data management
Week 5-6: Data Warehousing and Storage
Overview of data warehousing techniques
Data storage solutions and architecture
Extract, Transform, Load (ETL) processes
Week 7-8: Data Mining and Analysis
Introduction to data mining techniques
Data exploration and pattern discovery
Tools and software for data analysis
Week 9-10: Big Data and Advanced Analytics
Understanding big data concepts
Advanced analytics techniques (e.g., machine learning, AI)
Applications of big data in business
Week 11-12: Data Visualization and Reporting
Techniques for effective data visualization
Tools for creating dashboards and reports (e.g., Tableau, Power BI)
Communicating insights through data
Week 13-14: Data Strategy and Decision Making
Developing a data-driven strategy
Leveraging data for competitive advantage
Case studies of data-driven decision making
Week 15: Course Review and Final Assessment
Course Materials and Assessment:
Study Materials: Comprehensive lecture notes, case studies, video tutorials, and essential readings.
Quizzes/Case Studies: Regular quizzes and case studies for practical application of data management concepts.
MCQs: Multiple choice questions to evaluate understanding of data management and strategy.
Simulations: Interactive simulations related to data management and analysis.
Final Project: Developing a data management strategy or conducting a data analysis project for a real or hypothetical company.
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We found 1 course available for you
-50%
Data Management and Strategy
20 hours
Beginner
Data Management and Strategy is an essential course in the …
₹1,500.00₹3,000.00
What you'll learn
Week 1-2: Introduction to Data Management
The role of data in modern business
Basics of data management
Data lifecycle management
Week 3-4: Data Governance and Quality
Principles of data governance
Ensuring data quality and integrity
Regulatory and compliance issues in data management
Week 5-6: Data Warehousing and Storage
Overview of data warehousing techniques
Data storage solutions and architecture
Extract, Transform, Load (ETL) processes
Week 7-8: Data Mining and Analysis
Introduction to data mining techniques
Data exploration and pattern discovery
Tools and software for data analysis
Week 9-10: Big Data and Advanced Analytics
Understanding big data concepts
Advanced analytics techniques (e.g., machine learning, AI)
Applications of big data in business
Week 11-12: Data Visualization and Reporting
Techniques for effective data visualization
Tools for creating dashboards and reports (e.g., Tableau, Power BI)
Communicating insights through data
Week 13-14: Data Strategy and Decision Making
Developing a data-driven strategy
Leveraging data for competitive advantage
Case studies of data-driven decision making
Week 15: Course Review and Final Assessment
Course Materials and Assessment:
Study Materials: Comprehensive lecture notes, case studies, video tutorials, and essential readings.
Quizzes/Case Studies: Regular quizzes and case studies for practical application of data management concepts.
MCQs: Multiple choice questions to evaluate understanding of data management and strategy.
Simulations: Interactive simulations related to data management and analysis.
Final Project: Developing a data management strategy or conducting a data analysis project for a real or hypothetical company.
