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DIPLOMA IN DATABASE DEVELOPMENT WITH ORACLE, MS SQL & MY SQL
Course SynopsisA Diploma in Database Development with Oracle, MS SQL, and MySQL provides comprehensive training in designing, developing, and managing databases using these three popular database management systems. Students learn concepts such as data modeling, SQL querying, stored procedures, and database administration. This diploma program equips learners with the necessary skills to work with diverse database platforms and prepares them for careers as database developers, administrators, or data analysts in various industries. Required Textbooks"Oracle Database 12c: The Complete Reference" by Bob Bryla and Kevin Loney“Microsoft SQL Server 2019: A Beginner's Guide" by Dusan Petkovic"MySQL Crash Course" by Ben Forta Completion CriteriaAfter fulfilling all of the following criteria, the student will be deemed to have finished the Module:Has attended 90% of all classes held.Has received an average grade of 80% on all assignments.Has received an average of 60% in assessments.The tutor believes the student has grasped all of the concepts. PrerequisitesFundamental understanding of programming, bits/bytes, procedures, classes, and computer architecture. It's absolutely acceptable if you only have a theoretical understanding of programming, but you should be certain about what programming is and what you intend to gain from this session.If you are only interested in theory and have no interest/patience in spending at least 10 hours every week throughout the duration of the course, then this course might not be for you.If you have absolutely no idea about programming or do not see yourself doing programming in the next six-odd months, then this class may not be for you.
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Fundamentals of US Healthcare and Data Analytics
Embark on a transformative journey through the fundamentals of US healthcare and data analytics in this three-month course, blending theory with practical applications for 2 hours daily. Explore crucial data components like eligibility, claims, pharmacy, and provider files, delving into MRF, SQL, MongoDB, PySpark, ETL techniques, and data quality considerations. The course concludes with an introduction to AWS services, empowering participants to master advanced data modeling and ETL techniques, ultimately leading to proficient use of AWS-driven data analysis and visualization tools.
