Fundamental Course of Data Modeling (101 Level)
What you'll learn
- Understanding about the database, data model and data development process
- How to analyze the components of logical data model schema
- Execute the Business data model and data modeling techniques
- Seeking the best Data modeling tools for SQL server in the business Industry
- Understand the Data modeling in salesforce, power bi and oracle
Requirements
- Understanding the basic data software knowledge to create and learn the data modeling
- Similar knowledge of business analysis and data science skills
Description
Fundamental Course of Data Modeling (101 Level)
This comprehensive introductory course is designed to provide participants with a solid foundation in the fundamental principles of data modeling. Through a combination of theoretical concepts and practical applications, students will gain a deep understanding of databases, data models, and the data development process. The course covers key components of logical data model schema, explores business data models, and delves into various data modeling techniques. Participants will also learn about specific data modeling tools for SQL Server, as well as the application of data modeling in Salesforce, Power BI, and Oracle environments.
Introduction of Database, Data Model, and Data Development Process
Overview of databases and their significance
Understanding the basics of data models
Exploring the data development process and its stages
Components of Logical Data Model Schema
Entity-Relationship Diagrams (ERD) and their role
Attributes, keys, and relationships in a logical data model
Normalization and denormalization concepts
Business Data Model and Data Modeling Techniques
Developing a business data model
Techniques for effective data modeling
Best practices for creating a robust data model
Data Modeling Tools for SQL Server
Overview of SQL Server and its data modeling capabilities
Hands-on experience with data modeling tools
Practical examples and exercises using SQL Server tools
Data Modeling in Salesforce, Power BI, and Oracle
Utilizing data modeling in Salesforce for efficient data management
Integrating data modeling with Power BI for meaningful insights
Applying data modeling principles to Oracle databases
Throughout the course, participants will engage in hands-on exercises and real-world scenarios to reinforce their learning. By the end of this 101-level course, students will have gained the knowledge and skills necessary to embark on further studies in data modeling or apply their understanding in professional settings.
1. Introduction of database, datamodel and data development process
2. Components of logical data model schema
3. Business data model and data modeling techniques
4. Data modelng tools for SQL server
5. Data modeling in salesforce, power bi and oracle
Enroll now and learn today and be a data analyst !
Who this course is for:
- Computer Science, IT and Business students, Business Analyst, Data Analyst, Data Scientist and Corportate executives
Instructor
Achievements on Udemy : (UDEMY BUSINESS BEST SELLER & FULL TIME UDEMY INSTRUCTOR)
[1] Enrolled over 527,000 students from 214 countries & 40+ UFB Courses.
[2] Delivered a staggering 3.73 million course enrollments, with 5,439,933 minutes taught Including UFB Courses (Upto August' 2024).
[3] Offered a diverse array of 310 courses, covering Business, General Management, Leadership, IT, Software and Systems, Psychology, Education, and Media Studies.
Credentials and Qualifications of Dr. José:
Dr. José's extensive qualifications showcase his dedication to various fields:
[1] Earned a Ph.D. in Entrepreneurship & Business Management in 2019, contributing to the understanding of business dynamics.
[2] Holds an M.Phil. in Business & General Management, establishing a solid foundation in comprehensive management knowledge.
[3] Completed a Masters in Financial Markets in 2015, demonstrating expertise in financial systems.
[4] Acquired a Masters in Information Technology in 2013, equipping him with technological proficiency.
[5] Achieved a Masters in Human Resource Management (MBA) in 2011, highlighting organizational skills.
[6] Secured a Bachelors in Mathematics in 2009, emphasizing analytical and statistics prowess.
[7] Earned a Diploma in Teacher Education in 2006, showing dedication to education.
This diverse academic background positions Dr. José as a well-rounded and versatile professional.
Teaching Experience:
Dr. José is an accomplished expert with a wealth of teaching and industry experience:
[1] Currently he is working as a Researcher and Professor of Florida Christian University (FCU Online), Orlando, FL.
[2] Serves as a Senior Researcher, Professor, and Subject Matter Expert at UTEL University, Universidad Centro Panamericano de Estudios Superiores - México, IBS-BFSU (International Business School - Beijing Foreign Studies University) China.
[2] Holds the title of Honorary and Visiting Professor at NGCEF Australia, ISCIP Canada, and Judge of the Research center for the Internationalization of companies from emerging economies (I-CEE) & Global Forum on Business Case Study.
[3] Dr. José, Specializes in digital transformation teaching, innovative teaching, and project based strategies for startup teaching in digital platform ecosystems.
Instructional Design and Curriculum Development Experience:
Dr. José's instructional design and curriculum development contributions are noteworthy:
[1] Designed and developed more than 5 specialized Post Graduate Master Degree courses for International Business School - Beijing Foreign Studies University (IBS-BFSU).
[2] Expertise in corporate entrepreneurship, organizational innovation, and learning.
[3] Over 15 years of experience as a business and IT consultant for over 20 successful startup businesses.
[4] Designed, developed, and hosted over 200 corporate business websites since 2007, receiving over 10 awards for graphic and web design.
Interests of Teaching Topics:
Dr. José's teaching interests span a wide range of subjects:
[1] Conducted, supervised, and handled more than 10,000 UG, PG students since 2007.
[2] Led training sessions for undergraduate and postgraduate Master Degree graduates in areas such as Entrepreneurship Development, Business Management, Human Resource Management and Development, Marketing, Digital Marketing, Finance and Financial Markets, Economics, Statistics, Education, Psychology, Leadership and Personal Development, Multimedia, Information Technology, IEEE Domains, and Software Certification Courses.
[3] Regular Keynote Speaker at AEIC China and Whither Our Economies (WoE) Lithuania.
[4] Currently guiding 5 Ph.D. Scholars in Business Administration, Computer Science, and IT Domains.
Certifications, Research and Publications:
Dr. José boasts an impressive list of certifications, research, and publications:
[1] Completed more than 30+ Software, IT, and Business Certifications.
[2] Serves as an Editor of Science Direct PLAS Journal, Ai Scholar China and certified reviewer for several renowned publishers from Springer Nature, Online Wiley, Emerald & SAGE.
[3] Published over 50 research and review articles, 8-12 solo-authored full case studies, 4 book chapters, and numerous book reviews and some listed in WoS & Scopus Listings.
[4] Google Scholar Citation 100+ and Research Gate Score is 270.90 with 54+ Citations, 59,299+ reads, and 27 Research Recommendations.
[5] European Alliance for Innovation (EAI) Score is 16.
Honors and Awards:
Dr. José's accomplishments are celebrated with various honors and awards:
[1] Top Funding Project Writer.
[2] Top Researcher Award 2019-2024.
[3] Best Ph.D. Thesis Award 2018.
[4] Distinguished Young Scientist 2017.
[5] University Topper (2011-2012).
[6] Seven-time recipient of the FCB - Faculty Competency Building Award (2011-2018).
[7] Mr. Perfect Award in 2008.
International Memberships and Activities:
[1] Holds memberships in 35+ International academic and professional bodies, including IEEE (ID : 96447154), Oulu Entrepreneurship Society - Finland, AfSAE (ID: 256521), ISPIM (ID: 1374), ITPA (ID: 29660) and many more.
[2] Volunteers for Scopus, Web of Science, and ABDC Indexed journals.
[3] Serves as an editorial and reviewer board member for over 30+ journals and has reviewed 200+ articles since 2019.