SQL for Data Science: Course Objectives, Entry Criteria, and Learning Strategies

INNOVATION AND
TECHNOLOGY

INTRODUCTION
 Innovation and technology is the whole new era of the
world. Technological innovation refers to the improved
process or product whose characteristics simply become
more optimized and better.
 The technological innovation creates new opportunities for
every individual and also facilitates number of things for
them.
 It makes the over all working of the individuals more
advanced. One of the example of technological innovations
is the Edtech.
 Edtech is the educational companies that are taking over the
market now. The companies offer many online courses and
make the teachings more effective.

Objectives and rationale of the course
 For the following presentation the course selected is SQL for Data
science.
 The collection of data has increased, which is also demanding the
need of skilled people who can interact with the data properly.
 The course will also enhance the critical thinking skills and will
enable the individuals to make better decision in order to optimize
the business.
 SQL for Data science will provide primer in SQL fundamentals in
order to make the students begin analysing the dataset for data
science purpose.

Entry criteria of the course
 Ultimately, the start of the course doesn't require any criteria as
everything on the coursera's course is covered and the SQL
course for the data science starts from the beginning.
 But yes to have a good command over the course there is a
specific criteria such as one must know:
 DBMS (data base management system)
 DBMS concepts such as normalizations, transactions, ACID
properties etc.
 Relational models, ER diagrams and other things about
relational database.