Data Modeling and Analysis
( 24 Modules )

Module #1
Introduction to Data Modeling
Overview of data modeling, importance, and applications

Module #2
Data Analysis Fundamentals
Introduction to data analysis, types of analysis, and analytical techniques

Module #3
Data Modeling Notations
Overview of data modeling notations, including ER diagrams, UML, and Dimensional Modeling

Module #4
Entity-Relationship Modeling
In-depth exploration of ER diagrams, entities, attributes, and relationships

Module #5
Dimensional Modeling
Introduction to dimensional modeling, stars, snowflakes, and facts

Module #6
Data Normalization
Introduction to data normalization, 1NF, 2NF, 3NF, and BCNF

Module #7
Data Denormalization
Introduction to data denormalization, when to use, and trade-offs

Module #8
Data Warehousing Fundamentals
Overview of data warehousing, architecture, and benefits

Module #9
OLAP and OLTP Systems
Introduction to OLAP and OLTP systems, differences, and use cases

Module #10
Data Visualization Fundamentals
Overview of data visualization, importance, and best practices

Module #11
Data Mining Fundamentals
Introduction to data mining, types of analysis, and applications

Module #12
Predictive Analytics
Introduction to predictive analytics, models, and metrics

Module #13
Data Quality and Governance
Importance of data quality, data governance, and data curation

Module #14
Data Modeling for Big Data
Data modeling considerations for big data, NoSQL, and Hadoop

Module #15
Cloud-Based Data Modeling
Data modeling considerations for cloud-based systems, AWS, Azure, and GCP

Module #16
Data Modeling Tools and Technologies
Overview of data modeling tools, PowerDesigner, ERwin, and Talend

Module #17
CASE Studies in Data Modeling
Real-world case studies in data modeling, success stories, and lessons learned

Module #18
Advanced Data Modeling Techniques
Advanced data modeling techniques, data vault, and anchor modeling

Module #19
Data Modeling for Machine Learning
Data modeling considerations for machine learning, feature engineering, and model deployment

Module #20
Data Storytelling and Communication
Effective data storytelling, communication, and presentation techniques

Module #21
Data Governance and Compliance
Data governance frameworks, regulations, and compliance

Module #22
Data Modeling Best Practices
Best practices for data modeling, common mistakes, and pitfalls to avoid

Module #23
Data Modeling for Real-Time Systems
Data modeling considerations for real-time systems, IoT, and streaming data

Module #24
Course Wrap-Up & Conclusion
Planning next steps in Data Modeling and Analysis career

WIZAPE

ONLINE RESOURCES

ABOUT WIZAPE

ONLINE PORTAL

Our priority is to cultivate a vibrant community before considering the release of a token. By focusing on engagement and support, we can create a solid foundation for sustainable growth. Let’s build this together!

We're giving our website a fresh new look and feel! 🎉 Stay tuned as we work behind the scenes to enhance your experience.
Get ready for a revamped site that’s sleeker, and packed with new features. Thank you for your patience. Great things are coming!

CONTACT-US PRIVACY POLICY

Data Modeling and Analysis ( 24 Modules )

Data Modeling and Analysis
( 24 Modules )