Learn SQL For Data Analytics Online: Free Course with AI Tutor & Certificate
Designed for aspiring analysts, this free sql for data analysis course teaches you how to query and manage databases. Across 13 modules and 92 video lessons, you'll master everything from SQL Basics to Advanced SQL Queries. The entire program takes about 1 hours to complete.
SQL For Data Analytics course syllabus
01 Introduction to SQL
- SQL Basics
- SQL Syntax and Statements
- Retrieving Data with SELECT
- Filtering Data with WHERE
02 Working with Data
- Sorting Data with ORDER BY
- Aggregating Data with GROUP BY
- Joining Tables
03 Advanced SQL Queries
- Subqueries
- Common Table Expressions (CTEs)
- Window Functions
- Working with Dates and Times
04 Modifying Data
- Inserting Data into Tables
- Updating Data in Tables
- Creating and Modifying Tables
05 Data Analysis with SQL
- Data Analysis Functions
- Conditional Expressions
- Advanced Data Filtering Techniques
- Data Manipulation with SQL
06 Performance Optimization
- Indexing
- Query Optimization Techniques
- Analyzing Query Performance
- Best Practices for SQL Performance
07 Advanced Topics
- Stored Procedures
- Triggers
- Views
- Transactions
08 SQL for Data Visualization
- Connecting SQL with Visualization Tools
- Creating Charts and Graphs
- Interactive Dashboards
- Sharing and Presenting Data Visualizations
09 SQL for Data Warehousing
- Introduction to Data Warehousing
- Dimensional Modeling
- Extract, Transform, Load (ETL) Processes
- Working with Fact and Dimension Tables
10 SQL for Big Data
- 1 Introduction to Big Data
- 1.1 Big Data Concepts|Exploring the key concepts and challenges associated with big data.
- 1.2 SQL's Role in Big Data|Understanding how SQL is applied in the context of big data environments.
- 1.3 Big Data Technologies Overview|Discussing an overview of big data technologies that interface with SQL.
- 2 SQL in Hadoop
- 2.1 Hadoop Ecosystem Overview|Introducing the Hadoop ecosystem and its components.
- 2.2 Hive and Impala|Exploring Hive and Impala for SQL-based big data analysis in Hadoop.
- 2.3 Optimizing SQL for Hadoop|Discussing strategies for optimizing SQL queries in a Hadoop environment.
- 3 SQL in Spark
- 3.1 Spark Overview|Understanding the basics of Apache Spark and its place in big data processing.
- 3.2 Spark SQL|Learning how to use Spark SQL for large-scale data analysis.
- 3.3 Performance Tuning in Spark SQL|Exploring techniques for tuning the performance of SQL queries in Spark.
- 4 SQL in NoSQL Databases
- 4.1 NoSQL Database Types|Discussing the different types of NoSQL databases and their characteristics.
- 4.2 SQL-like Querying in NoSQL|Understanding how SQL-like queries can be applied to NoSQL databases.
- 4.3 Integrating SQL with NoSQL|Exploring methods for integrating SQL with NoSQL databases for hybrid data analysis.
11 SQL for Machine Learning
- 1 Introduction to Machine Learning
- 1.1 Machine Learning Basics|Introducing the basic concepts and terminology of machine learning.
- 1.2 The Intersection of SQL and Machine Learning|Understanding how SQL can be used in the machine learning workflow.
- 1.3 Machine Learning Algorithms Overview|Discussing an overview of common machine learning algorithms.
- 2 Preparing Data for Machine Learning
- 2.1 Data Cleaning and Preprocessing|Learning the importance of data cleaning and preprocessing for machine learning with SQL.
- 2.2 Feature Selection and Engineering|Exploring techniques for feature selection and engineering using SQL.
- 2.3 Data Sampling and Balancing|Understanding the techniques for data sampling and balancing to create training datasets.
- 3 Feature Engineering with SQL
- 3.1 Defining Features for Machine Learning|Discussing how to define and select features for machine learning models using SQL.
- 3.2 Transforming Data into Features|Learning how to transform raw data into features suitable for machine learning.
- 3.3 Aggregating Data for Feature Engineering|Exploring SQL aggregation techniques for feature engineering.
- 4 Training and Evaluating Machine Learning Models
- 4.1 SQL for Model Training Data Retrieval|Writing SQL queries to retrieve data for training machine learning models.
- 4.2 Model Evaluation Metrics|Understanding the metrics used to evaluate the performance of machine learning models.
- 4.3 SQL for Model Performance Analysis|Using SQL to analyze and interpret the performance of machine learning models.
12 SQL for Data Governance and Security
- 1 Data Governance Principles
- 1.1 Understanding Data Governance|Exploring the principles and objectives of data governance in an organization.
- 1.2 The Role of SQL in Data Governance|Discussing how SQL can be used to support data governance initiatives.
- 1.3 Data Governance Frameworks|Learning about different data governance frameworks and their implementation.
- 2 Data Privacy and Security
- 2.1 Data Privacy Concepts|Introducing the key concepts of data privacy and the importance of protecting sensitive information.
- 2.2 SQL Security Features|Exploring the security features in SQL to protect data and ensure privacy.
- 2.3 Implementing Data Masking and Encryption|Understanding how to implement data masking and encryption using SQL.
- 3 Access Control and Permissions
- 3.1 Managing User Access|Learning how to manage user access to databases and data through SQL.
- 3.2 Role-Based Access Control|Exploring the implementation of role-based access control (RBAC) using SQL.
- 3.3 SQL for Auditing Access|Discussing how SQL can be used to audit and monitor database access.
- 4 Auditing and Compliance
- 4.1 Compliance Requirements|Understanding the compliance requirements related to data management and protection.
- 4.2 SQL for Compliance Reporting|Learning how to use SQL for generating reports to meet compliance requirements.
- 4.3 Audit Trails and Change Tracking|Exploring the use of SQL for maintaining audit trails and tracking changes in data.
13 SQL for Cloud Databases
- 1 Introduction to Cloud Databases
- 1.1 Cloud Database Fundamentals|Discussing the fundamentals of cloud databases and their advantages over traditional databases.
- 1.2 Cloud vs. On-Premises SQL Databases|Comparing cloud-based SQL databases with on-premises solutions.
- 1.3 Service Models for Cloud Databases|Exploring the different service models for cloud databases (IaaS, PaaS, SaaS).
- 2 SQL in Amazon Web Services (AWS)
- 2.1 AWS Database Services Overview|Introducing the range of database services offered by AWS.
- 2.2 Amazon RDS and Aurora|Learning about Amazon RDS and Aurora for managed SQL database services.
- 2.3 SQL in AWS Data Migration|Discussing the use of SQL in migrating data to and from AWS services.
- 3 SQL in Microsoft Azure
- 3.1 Azure Database Services
Skills you'll gain
Add these to your LinkedIn profile and resume the day you finish.
Who should take this SQL For Data Analytics course?
And exactly what you need before starting (spoiler: almost nothing).
This course is for
- Aspiring data analysts who want to learn how to query relational databases.
- Working professionals in marketing or finance looking to automate their reporting.
- College students across India building a portfolio for entry-level tech roles.
- Career switchers seeking a structured sql data analyst training path.
Prerequisites
- No prior database or programming experience is required to start this course.
- A basic understanding of how data is stored in spreadsheets is helpful.
- A computer or mobile device with a stable internet connection.
How learning works on LearnTube
The structure of a bootcamp, the price of free.
AI curates your path
Our AI picks the top 1% of video content for each topic and arranges it into a structured, goal-based curriculum. No more tutorial roulette.
Learn, then get quizzed
After every lesson, your AI tutor asks you a question and gives personalised feedback on your answer, so gaps get fixed immediately.
Finish with proof
Complete the course, build the capstone project, and claim a certificate recognised by 900+ hiring partners.
A complete SQL For Data Analytics course: free, structured and job-focused
Perfect for beginners and career switchers, this sql data analyst course teaches you how to extract, filter, and analyze large datasets. You'll start with Introduction to SQL and quickly move into Working with Data. As you progress, the curriculum covers essential topics like Modifying Data, Performance Optimization, and SQL for Data Visualization. By the time you reach Advanced Topics, you will know exactly how to write efficient queries that businesses rely on.
LearnTube makes mastering these skills incredibly simple. We pair top YouTube video lessons with an interactive AI tutor that tests your knowledge. After every single video, you will take a quick quiz to ensure you actually understand the concepts. If you get stuck, the AI tutor is right there to help you out. You'll explore specialized areas like SQL for Data Warehousing, SQL for Big Data, and even SQL for Machine Learning.
The entire learning experience is completely free. You can study at your own pace through 92 bite-sized lessons, finishing the roughly 1 hours of content whenever it fits your schedule. We also cover enterprise-level skills like SQL for Data Governance and Security and SQL for Cloud Databases. Once you finish the material, you can purchase an optional paid certificate to prove your new skills to our 900+ hiring partners.
Jobs you can target after learning SQL For Data Analytics
SQL For Data Analytics is a gateway skill for some of the fastest-growing roles in tech.
Extracts and interprets data to help companies make better business decisions.
Builds dashboards and reports using SQL queries to track company performance.
Manages data storage, security, and access across organizational systems.
Prepares and transforms large datasets for analytical and operational uses.
Typical entry-level salary ranges in India as of August 2026. Actual compensation varies by city, company and experience.
Earn a SQL For Data Analytics certificate employers recognise
Finish the course and claim a certificate you can share anywhere.
- Learn 100% free: every lesson, quiz and the AI tutor cost nothing
- Claim your certificate when you complete the course (an optional paid add-on)
- Recognised by 900+ hiring partners across India
- One click to share on LinkedIn and add to your resume
Why learners choose LearnTube
Real reviews from Google. You learn free, you get assessed free, and you pay only if you want the certificate.
Though I have 11 years of experience as an HRBP, the course helped me refresh my knowledge and gave me insights into new trends in the market. The modules were clear and easy to understand, and the quizzes were well designed. I have added the certificate to my LinkedIn profile.
I had a lot of doubts while learning, but the AI chatbot answered them in detail with simple summaries. The videos on the platform saved me a lot of time as I didn't have to search YouTube and watch random content.
Just earned my certificate in HR Management from LearnTube.ai! The platform is user-friendly and the assessment was a great way to validate my knowledge. Feeling proud of this accomplishment!
I enrolled in a LearnTube personalized course to get into a Data Analytics role. It helped me learn SQL in depth and gave me hands-on experience with Power BI. I attached the LearnTube certificate to my CV, it added credibility to my profile, and I'm currently in the interview process.
The interface is user-friendly and intuitive, making it easy to navigate the course. I encountered no errors during my time using the platform, which was a refreshing change from other online learning platforms.
Just cleared the Business Analyst assessment and got certified! Loved how the course simplifies big concepts like data-driven decision making into short, practical lessons. The automated quizzes kept me on track the whole time. Perfect boost for my resume!
The certificate gave me a real edge during my B.Tech. By the time I graduated, I had skills that set me apart from my peers, and the certification opened up more job opportunities. It gave me the confidence to stand out during interviews.
I manage many software projects as a General Manager and was looking for a good certification program to stay competitive. After researching many programs, I chose LearnTube and it was much better than I expected. The material is well-organized and practical, and what I liked most is the lifetime access.
Frequently asked questions
Everything learners ask before starting this SQL For Data Analytics course.
Do I need prior coding experience to take this sql data analyst course?
No prior coding background is needed. The curriculum starts with SQL Basics and gradually introduces complex queries. Beginners can comfortably follow along and build practical database skills from scratch.
What jobs can I get after learning sql for data analysis?
You can apply for roles like Data Analyst, Business Intelligence Analyst, or Junior Data Engineer. Entry-level salaries for these positions in India typically range from ₹4 to ₹8 LPA.
Is this sql for data analytics free course available on mobile?
Yes, the entire platform is mobile-friendly. You can watch the 92 video lessons and complete the AI tutor quizzes directly from your smartphone, making it easy to learn anywhere.
How long does it take to finish the program?
The total video content takes about 1 hours to watch. Since the course is entirely self-paced, most learners finish the 13 modules and all interactive quizzes in just a few days.
Will I get a sql certification for data analysts when I finish?
Learning the material is completely free. Once you complete all modules and quizzes, you have the option to purchase a verified certificate to add to your resume and LinkedIn profile.
Can I study this advanced sql for data analytics material at my own pace?
Absolutely. There are no strict deadlines or fixed schedules to follow. You can log in whenever you have free time and progress through the modules as quickly or slowly as you prefer.
How does the AI tutor help me learn SQL?
After every video lesson, the AI tutor generates a quick quiz based on what you just watched. It corrects your mistakes instantly and explains the right answers so you retain the knowledge.
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