Master SQL to get High Paying Jobs!
Aditya Jain (AJ)
17 modules
English
Lifetime access
<p>Master SQL to unlock powerful data management capabilities.</p>
Overview
In today’s data-driven world, being able to understand and analyze data is a crucial skill.
Whether you're looking to switch careers or enhance your current job prospects, mastering SQL (Structured Query Language) is a game-changer.
This course is designed for complete beginners with no prior technical background, and will guide you through the core concepts and practical applications of SQL.
What Makes This Course Special?
- 🎓 Beginner-Friendly: Designed for those with no technical background.
- 📊 Master SQL Essentials: Learn to query, filter, and aggregate data.
- 🔑 Understand Database Terminology: Grasp key terms like tables, rows, and columns.
- 🔢 Leverage SQL Functions: Perform calculations and use powerful SQL functions.
- 🔄 Work with Joins: Combine data from multiple tables with ease.
- 💻 Explore Advanced Features: Master window functions and subqueries.
- 🌍 Real-World Applications: Apply SQL skills to make data-driven decisions.
- 📈 Hands-On Practice: Gain practical experience through exercises and case studies.
Key Highlights
🏁 Beginner-Friendly Approach
🌍 Live Doubt Sessions
👣 Step-by-Step Lessons
🔑 Easy-to-Understand Terminology
⚡ Quick Learning Curve
🚀 Boost Your Career
💬 Community Support
📈 Data-Driven Decisions
What you will learn
🔑 Database Terminologies:
Learn key terms like tables, rows, columns, and keys.
🔁 Subqueries:
Use subqueries for nested, complex queries.
🔗 Joins:
Combine data from multiple tables with Join
⬆️ ORDER BY:
Sort data in required order for clarity.
💻 Window Functions:
Learn window functions for calculations across rows.
📊 GROUP BY & HAVING:
Group and filter data using GROUP BY and HAVING.
🔍 Data Filtering:
Filter data using WHERE for better insights.
📊 Aggregations:
Aggregate data to get valuable insights.
Modules
Course Material by AJ
1 attachment
SQL Course Material by AJ
71 pages
Basic Terminologies
Case-Study Walkhthrough
Google Big-Query Setup
Data Extraction: SELECT
6 attachments • 21.44 mins
3.1-select
3.2-select-q1
3.3-select-q2
3.4-select-q3
3.5-select-q4
3.6-select-terminologies
Commonly used Functions
4 attachments • 16.61 mins
4.1-lower
4.2-upper
4.3-concat
4.4-substring
Data Filtering: WHERE
4 attachments • 17.74 mins
5.1-where
5.2-where-q1
5.3-where-q2
5.4-between
Data Aggregation
4 attachments • 22.28 mins
6.1-sum
6.2-average
6.3-min-max
6.4-count
Sorting the Data: ORDER BY
4 attachments • 22.35 mins
7.1-oderby
7.2-asc
7.3-desc
7.4-multi-column
Conditional Statements: CASE WHEN
3 attachments • 14.53 mins
8.1-case-when
8.2-q1
8.3-q2
Grouping Data: GROUP BY
3 attachments • 16.05 mins
9.1-groupby
9.2-groupby-aggr-q1
9.3-groupby-aggr-q2
Group-level Filtering: HAVING
6 attachments • 31.19 mins
10.1-having
10.2-q1
10.3-having-vs-where
10.4-having-and-where
10.5-end-to-end
10.6-end-to-end-ques
JOINS
12 attachments • 1 hrs
11.1-inner-join
11.2-joining-multi-columns-q1
11.3-q2
11.4-q3
12.1-left-join
12.2-left-join-q1
12.3-left-join-q2
12.4-right-join
12.5-left-vs-right
13.1-self-join-q1
13.2-self-join-q2
13.3-cross-join
Union and Union All
2 attachments • 13.41 mins
14.1-union-distinct
14.2-union-all
Window Functions
12 attachments • 1 hrs
15.1-window-functions
15.2-row-number
15.3-rank
15.4-dense-rank
15.5-rownum-rank-denserank
16.1-lead-and-lag
16.2-lead-q1
16.3-lag-q1
16.4-lead-q2
16.5-lag-q2
16.6-groupby-vs-window
16.7-groupby-vs-window-q1
Subqueries
Date & Time Functions
FAQs
🚫 Do I need to have any prior experience with SQL or coding?
No, this course is designed for complete beginners. We will start with the basics and gradually advance to more complex topics.
✔️ Will I get hands-on practice with SQL?
Yes! The course includes practical exercises and real-life case studies to help you apply what you learn.
💻 What tools will I need for this course?
We will guide you through setting up BigQuery, a cloud-based data analysis tool, but you can also use other database systems if you prefer.
⏱️ How long will it take to complete the course?
The course is self-paced. On average, students take about 2-3 weeks to complete the entire course.
🎓 Will I receive a certificate?
Yes! Upon completing the course, you’ll receive a certification that you can showcase on your resume or LinkedIn profile.
About the creator
Aditya Jain (AJ)
Aditya Jain, an IIT Bombay alumnus and AIR 60 in GATE, is a former Data Scientist at Dream11. He has taught and mentored over 10,000 professionals, helping them upskill and accelerate their hiring journey.
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