Structured by renowned national and international experts in the field of Andrology, this course aims at providing basic and advanced knowledge in male infertility and sexual dysfunction with special emphasis on female sexual dysfunction. The course will empower clinicians to understand the core concepts, pathophysiology, diagnostic algorithms, and evidenced-based treatment along with recent advances in the field to upscale clinician knowledge and practice
Learn to create relational and NoSQL data models to fit the diverse needs of data consumers. Use ETL to build databases in PostgreSQL and Apache Cassandra.
Learn to create relational and NoSQL data models to fit the diverse needs of data consumers. Use ETL to build databases in PostgreSQL and Apache Cassandra.
Learn to create relational and NoSQL data models to fit the diverse needs of data consumers. Use ETL to build databases in PostgreSQL and Apache Cassandra.
Learn to create relational and NoSQL data models to fit the diverse needs of data consumers. Use ETL to build databases in PostgreSQL and Apache Cassandra.
Learn to create relational and NoSQL data models to fit the diverse needs of data consumers. Use ETL to build databases in PostgreSQL and Apache Cassandra.
Courses adhere to a very high peer reviewed quality with a clean visual design and intuitive navigation of authentic learning material.
World renowned professional experts in their respective fields conceive and author courses that are a window to their extensive knowledge.
Course authors are practicing professionals with a strong knowledge of research and teaching principles. Courses are a blend of theoretical concepts with the real-world experience in the field.
Courses are concerted with modular learning units that guide the learner in a progressive learning path. The learning experience is augmented by contextual assessments to enhance retention of knowledge.
In this project, you’ll model user activity data for a music streaming app called Sparkify. You’ll create a relational database and ETL pipeline designed to optimize queries for understanding what songs users are listening to. In PostgreSQL you will also define Fact and Dimension tables and insert data into your new tables.