Master Microsoft SQL for Data Analysis: Beginner to Advanced

Name: Master Microsoft SQL for Data Analysis: Beginner to Advanced
Rating: 4.5 (61 reviews)

Created byTeras Data Ltd

Last updated 4/2026

English

What you'll learn

Write powerful Microsoft T-SQL queries to filter, aggregate, and transform data for real-world data analysis projects.
Master Microsoft SQL joins, subqueries, and window functions to combine and analyze complex datasets efficiently.
Create, manage, and optimize databases using best practices in SQL for performance and scalability.
Apply Microsoft SQL in data analytics workflows by extracting insights from business datasets and building reports.
Use advanced Microsoft SQL techniques such as Common Table Expressions (CTEs), stored procedures, and functions for automation.
Master foundational to advanced T-SQL syntax (SELECT, JOIN, GROUP BY, subqueries, CTEs) to extract and analyze data efficiently.
Apply T-SQL to practical business scenarios like sales reports, customer segmentation, and performance metrics using real datasets.

Course content

9 sections • 67 lectures • 6h 59m total length

Introduction - Meet the Instructor1:41
SQL Server 2025 Installation-Updated13:50
SQL Server Management Studio 22 - Updated11:19
Microsoft SQL Server 2022 Installation - Old11:39
Case Study Part1 - Business Problems3:54
Case Study Part2 - Understanding the Data2:57

CREATE Statement13:07
CREATE and INSERT Statement 111:12
CREATE and INSERT Statement 26:14
CREATE and INSERT Statement 37:03
SELECT Statement6:37
TOP Statement2:32
Learn how the top clause retrieves a subset of rows to quickly preview data, using select top n from table syntax.
WHERE Clause3:24
WHERE Clause with Comparison Operator8:38
WHERE Clause with Logical Operator 117:32
WHERE Clause with Logical Operator 20:41
WHERE Clause with Logical Operator 321:03
ORDER BY Statement3:43
ORDER BY practice0:38
ARITHMETIC4:52
BASIC SECTION RECAP2:18

Introduction to SQL Aggregation1:53
SQL NULLs2:50
COUNT3:29
MIN & MAX4:50
Explore min and max SQL aggregation functions, retrieving smallest and largest values per category, ignoring nulls, with examples on orders by paper type; apply to numbers, dates, and text.
SUM3:45
FULL OUTER JOIN18:21
Master the full outer join and its syntax, including null handling for unmatched rows in accounts and sales reps. Apply it to Midwest region, channels, and top orders in 2016.
SUM Practice0:30
MIN & MAX Practice0:14
AVG2:47
AVG Practice0:15
GROUP BY9:42
DATE GROUP BY Practice0:18
GROUP BY Practice0:25
HAVING7:52
HAVING Practice0:21
DATE GROUP BY13:33
learn how to group data by date in SQL Server, extracting year, month, or day with the date name function and the format function to produce meaningful aggregates.

Introduction1:36
Learn to use subqueries and table expressions, including common table expressions and temp tables, for derived results, cleaner logic, and faster analysis of questions like top regions and monthly sales.
First Subqueries8:23
Explore subqueries in SQL, where a query runs first and feeds results. Use them in select, from, and where, alias the subquery, and compute average events per day by channel.
Subqueries in other Clauses6:50
Subqueries Practice0:17
Common Table Expression (CTE)10:14
CTE Practice0:24
Temp Table7:02
Views Part 115:03
Create a sql view from a multi-table query to power dashboards by joining accounts, sales reps, regions, and orders; learn aliases, top totals, and querying the view.
Views Part 29:29

Introduction1:20
Windows Functions7:44
Discover how window functions enable running totals across rows without grouping or joining, using over, order by, and partition by to restart monthly totals.
ROW_NUMBER(), RANK() & DENSE_RANK()9:41
Aggregation in Window Function3:19
LAG() & LEAD()9:34
Explore SQL window functions lag and lead to compare current and previous rows, analyze changes over time, detect trends, and calculate gaps in order data.

Requirements

No prior SQL or database experience required — this course starts from the absolute basics and builds up to advanced SQL for data analysis.
A computer (Windows, macOS, or Linux) with internet access.
Willingness to learn by practicing T-SQL queries through hands-on exercises and real-world datasets.
(Optional but helpful) Basic understanding of data analysis or working with spreadsheets like Microsoft Excel or Google Sheets.
A Curiosity for Data! – Whether you’re in marketing, finance, or just love numbers, this course turns raw data into insights.

Description

From Beginner to Advanced ; Master Microsoft SQL for Data Analysis (SSMS)

Start your Microsoft SQL journey with confidence and advance to mastering complex analytical workflows. This course takes you from the basics SELECT statements, filtering, and joining tables,to advanced techniques like subqueries, Common Table Expressions (CTEs), window functions, and performance optimization. The course is packed with related real world scenario to drive the lessons home.

Why This Course Stands Out

Structured for All Levels
Begin with foundational concepts and gradually build your skills. Whether you're new to SQL or already writing queries, you’ll advance at your pace.
Real-World Business Use Cases
Each topic includes practical examples,analyzing sales trends, aggregating performance, generating running totals, monitoring changes, and beyond.
Hands-On Practice
Build real SQL fluency with quizzes, exercises, and projects that reinforce each concept and mirror real analysis challenges.
Career-Ready Learning Path
By completion, you'll confidently tackle tasks like:
- Filtering and grouping data effectively
- Writing joins and subqueries for complex datasets
- Exploring rolling metrics and row comparisons
- Optimizing queries for speed and accuracy

What You’ll Learn

Core SQL Fundamentals
SELECT, WHERE, GROUP BY, ORDER BY, and JOINs
Advanced Query Techniques
Subqueries, CTEs, UNION, and logical expressions
Analytical Tools
Window functions (ROW_NUMBER, RANK, LAG, LEAD, SUM OVER, etc.)
Real Data Modeling
Data cleansing, handling date/time, and NULLs
Performance Skills
Index use, query optimization, and efficient patterns

Who This Course is For

Beginners eager to build a strong analytical foundation
Data professionals looking to sharpen SQL for analysis
Analysts transitioning from Excel to relational databases
Learners preparing for data-heavy roles or SQL interviews

Why You Should Enroll

SQL is consistently a top in-demand skill, especially for analysts. This course teaches you how to think with SQL, not just memorize syntax. Your ability to solve real business questions with data will grow, aided by clear explanations, real datasets, and continuous practice.

Join now and become truly data-smart, no prior experience required. Empower your career with SQL fluency!

Who this course is for:

Aspiring Data Analysts who want to build strong SQL skills for querying and analyzing datasets in any industry.
Business Analysts, Financial Analysts, and Marketing Analysts looking to move beyond spreadsheets and work directly with databases.
Students and graduates aiming to enter data-driven careers and stand out in job interviews with proven SQL expertise.
Developers, Data Engineers, and BI Professionals who want to strengthen their database querying and reporting abilities.
Anyone interested in data analysis who wants to learn how to extract insights from real-world datasets using SQL — no prior experience required.

Master Microsoft SQL for Data Analysis: Beginner to Advanced

What you'll learn

Explore related topics

Course content

INTRODUCTION6 lectures • 45min

BASIC15 lectures • 1hr 50min

SQL JOINS5 lectures • 42min

SQL AGGREGATIONS16 lectures • 1hr 11min

SQL LOGIC & CONDITIONAL STATEMENT3 lectures • 29min

SUBQUERIES, TEMP TABLES & VIEWS9 lectures • 59min

SQL DATA CLEANING5 lectures • 26min

(ADVANCED) SQL WINDOW FUNCTIONS5 lectures • 32min

CONCLUSION3 lectures • 6min

Requirements

Description

Who this course is for: