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Learn how to structure, create, and manage databases using MySQL Workbench. This database design with MySQL free course covers ER models, normalization, SQL queries, and relational schema concepts.
8 hours of learning
Database Design
Data Analysis
Data Warehousing
What You Will Learn
The program includes coding problems to boost your problem-solving skills. It's crucial to engage with these for the best upGrad experience. Start with the coding console tutorial.
Topics Covered
Using Python or Excel for data analysis can risk inconsistencies with multiple files. Databases and Database Management Systems (DBMS) offer efficient data access and analysis. Learn more about DBMS in this session.
Topics Covered
This session explores how hospitals use databases to manage patient info and make real-time decisions. Learn data retrieval with SQL in RDBMS, focusing on MySQL and MySQL Workbench.
Topics Covered
CREATE
, ALTER
, and DROP
allow you to build and modify tables, schemas, and indexes. This topic explains how DDL helps lay the foundation of a relational database before any data is inserted.INSERT
, UPDATE
, DELETE
, and SELECT
, learners will gain hands-on experience in modifying datasets and conducting queries that return meaningful insights from relational data.It's time to master SQL's core, focusing on query statements essential for data extraction, analysis, and informed business decisions. Develop the analytical skills needed to navigate and utilize SQL effectively.
Topics Covered
SELECT
and FROM
clauses. This section introduces the building blocks of SQL querying—where you learn to specify the columns and tables you want to pull data from, forming the basis for every query.WHERE
), group data based on common fields (GROUP BY
), and apply conditions to grouped records (HAVING
). These commands are essential for narrowing down data sets and generating aggregated results like totals, averages, and conditional counts.ORDER BY
, whether ascending or descending, and how to control data volume with LIMIT
. These commands improve query efficiency and usability, especially when analyzing large datasets or creating paginated outputs for reports.AND
, OR
, NOT
) and comparison operators (=
, >
, <
, BETWEEN
, etc.) refine query results. This section helps learners structure precise conditions that drive accurate outputs and help answer specific business queries.COUNT()
, SUM()
, AVG()
, MIN()
, MAX()
, and text/date functions. These tools allow for powerful data aggregation, transformation, and formatting, giving analysts deeper insights into patterns and anomalies within structured data.Dive into SQL: Use joins to query multiple tables simultaneously and master set operations to seamlessly merge results with 'union'. Unlock powerful data handling in one session!
Topics Covered
UNION
operator allows you to merge results from two or more SELECT
queries into a single dataset, eliminating duplicates by default. It’s useful for consolidating data from similar tables or sources while ensuring consistency and readability in reporting and dashboards.INTERSECT
returns only the rows that appear in both result sets of two queries. This operation is especially valuable when identifying commonalities between datasets—such as customers in multiple programs or products listed across different regions.MINUS
operator (or EXCEPT
in some systems) identifies records in the first query that do not appear in the second. This is essential for comparative analysis—helping uncover gaps, mismatches, or exclusions in datasets when assessing change or filtering out noise.INNER JOIN
returns only those records that have matching values in both joined tables. It’s one of the most commonly used joins and is ideal for focusing strictly on intersecting data points—such as matched transactions, shared attributes, or linked entities.LEFT JOIN
retrieves all records from the left table and only matching records from the right table. This is helpful when you want to preserve all entries from one dataset while bringing in related data wherever available from another table.RIGHT JOIN
is the inverse of a LEFT JOIN
. It pulls all records from the right table and matched records from the left. This join is useful when the primary reference table is on the right side, and the left-side data is supplementary or optional.Talk to our experts. We are available 7 days a week, 9 AM to 12 AM (midnight)
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