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Duration: 0.1 Month
Understanding Statistics & SQL for Databases
Learn to analyze data using key statistical measures, distributions, and visualizations.
Master probability concepts and gain hands-on skills in SQL, from basic queries to advanced operations like joins and subqueries.
- Learn to interpret data using Mean, Median, Mode and Variance, Standard Deviation, Distribution, Graphical Plotting, etc.
- Master fundamental concepts of Probability Distribution, including the Normal Distribution.
- Query and manipulate data using basic SQL commands DDL, DML, DQL, Clauses (WHERE, GROUP BY, HAVING, ORDER BY) through to complex operations (JOINs), Sub-Query, Views, and Stored Procedures.
Module concludes
In this module, students will master the core mathematical and technical pillars of data science. They’ll learn to interpret datasets using descriptive statistics—including measures of central tendency and dispersion—while exploring probability distributions like the Normal Distribution. This module also provides intensive training in SQL, moving from basic data manipulation and filtering to advanced operations such as complex JOINs, subqueries, and stored procedures, equipping students to efficiently extract and manage data from relational databases.
