Certified Analytics Professional: Model Building
To help technology professionals advance their career in data science and analytics, this course explores conceptual models, how to build, verify, run, and evaluate them before they can be calibrated with the available data in the organization.
What you'll learn
With the growing need for data analytics in a variety of organizations due to the benefits that they provide, so is the growing competition of technology professionals to vie for senior positions and career advancement in this area. In this course, Certified Analytics Professional: Model Building, you'll gain the ability to evaluate conceptual models for model building. First, you'll learn about conceptual models. Next, you'll discover how to build and verify those conceptual models. After that, you'll explore how to run and evaluate those models. Finally, you'll learn how to calibrate those models against available data. When you’re finished with this course, you’ll have the skills and knowledge of model building needed to help you earn your Certified Analytics Professional certification.
Table of contents
- Certified Analytics Professional (CAP) Certification Path 2m
- Data Analytics and Methodologies 4m
- Data Modeling Overview and Relevance 2m
- Data Modeling Software and Practical Uses 5m
- Types of Data Models 4m
- Perspectives in Creating a Data Model 2m
- Conceptual Data Model 3m
- Certified Analytics Professional Model Building 7m
- Analytics Methods for Running a Model: Descriptive Statistics and Regression 6m
- Analytics Methods for Running a Model: Forecasting and Data Mining 4m
- Analytics Methods for Running a Model: Optimization Model and Decision Analysis 3m
- Conceptual Model: Identifying Analytics Method to Use 5m
- Conceptual Model: Evaluating Using an ERD 6m
- Use Case: Running and Evaluating Conceptual Models 6m
About the author
She is the Co-founder as well as Strategy Lead of AtoANI (sustainable agriculture) and AtoANI BioPack (biodegradable packaging). She is passionate about Social Innovation and using it to contribute to the UN Sustainable Development Goals. With a Chemical Engineering and MBA Degree, her corporate experience in multinational companies involves working on various topics in the areas of Strategy, Digitalization, Innovation, Finance, Material Management, Quality Assurance, Program and Project Managem... more