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Program overview
Online
On-site
Hybrid
SQL for Data Science
Build a strong foundation in SQL for data analysis by mastering core concepts, advanced querying techniques, and performance optimization. Learn how to use SQL to analyze data, integrate with data science tools, apply governance principles, and solve real world business problems through data driven insights.
Duration:
4 Days
Level:
Advanced
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1500+ users onboarded
Who will Benefit from this Training?
Training Objectives
Build a high-performing, job-ready tech team.
Personalise your team’s upskilling roadmap and design a befitting, hands-on training program with Uptut
Key training modules
Comprehensive, hands-on modules designed to take you from basics to advanced concepts
Download Curriculum
- SQL Foundations for Data Science
- Position SQL in analytics and ML data prep workflows
- Query relational tables with SELECT fundamentals
- Read schemas, keys, and relationships confidently
- Write readable queries with consistent style
- Filtering, Sorting, and Aggregation
- Filter rows with precise WHERE conditions
- Sort and page results for analysis
- Aggregate with GROUP BY and summary functions
- Hands-on: Build KPI queries from raw tables
- Functions and Data Transformation
- Apply string, numeric, date, and conversion functions
- Shape columns for feature and reporting needs
- Handle nulls during transformations
- Compose reusable expression patterns
- Joins and Subqueries
- Combine tables with inner, left, and advanced joins
- Avoid row explosion and ambiguous keys
- Use subqueries and derived tables for complex logic
- Validate join correctness with row counts and samples
- Data Manipulation and Constraints
- Insert, update, and delete data safely
- Use transactions for controlled changes
- Apply primary/foreign keys and constraints
- Protect data integrity in shared warehouses
- Views and Indexing
- Create views for curated analytical layers
- Use indexes to speed common access paths
- Balance write cost vs read performance
- Document views as contracts for analysts
- Advanced SQL (Window Functions and CTEs)
- Use window functions for rankings and running metrics
- Structure complex logic with CTEs
- Build incremental and analytical query patterns
- Refactor messy SQL into maintainable pipelines
- Stored Procedures and Functions
- Encapsulate repeated logic in procedures/functions
- Parameterize routines for reuse across teams
- Understand when SQL routines vs app code is better
- Test and version database routines carefully
- SQL with Python and R
- Connect notebooks and scripts to SQL engines
- Pull query results into pandas/R data frames
- Push transformed data back with controlled loads
- Keep SQL and code boundaries clear for maintainability
- Dates, Missing Data, and Performance Tuning
- Handle dates/times and late-arriving windows
- Impute or filter missing values deliberately
- Read execution plans and remove hotspots
- Tune queries for warehouse cost and latency
- Visualizing Query Results
- Shape SQL outputs for charts and dashboards
- Integrate SQL with common visualization workflows
- Design queries that match visual grain
- Validate numbers before publishing visuals
Hands-on Experience with Tools
Training Delivery Format
Flexible, comprehensive training designed to fit your schedule and learning preferences
Opt-in Certifications
AWS, Scrum.org, DASA & more
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100% Live
on-site/online training
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Hands-on
Labs and capstone projects
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Lifetime Access
to training material and sessions
Skill-Gap Assessment
Analysing skill gap and assessing business requirements to craft a unique program
1
Personalisation
Customising curriculum and projects to prepare your team for challenges within your industry
2
Implementation
Supplementing training with consulting support to ensure implementation in real projects
3
Why this course
- Efficient Data Analysis: SQL enables data scientists to efficiently retrieve and manipulate large volumes of structured data.
- Seamless Data Integration: SQL provides the ability to integrate and combine data from various sources, allowing for a holistic view of the data.
- Standardisation and Collaboration: SQL is a standardised query language used across different database platforms. By training your data science team in SQL, you ensure a common language and skillset for data analysis and manipulation.
Training objectives
- Gain a solid understanding of SQL concepts, syntax, and best practices.
- Learn how to use SQL to manipulate and transform data effectively.
- Learn how to apply advanced SQL techniques, including joining tables, working with subqueries, using window functions, and optimising query performance.
- Gain the ability to apply SQL for data analysis purposes.
- Equip participants with the skills to integrate SQL with other data science tools and programming languages.
- Learn how to apply SQL to solve real-world data science problems commonly encountered in corporate environments.
- Learn about data governance principles and how to implement them within the SQL context.
- Learn how to leverage SQL to make data-driven decisions.
Who will benefit
- Data Scientists
- Data Analysts
- Business Analysts
- Database Developers/Administrators
- Data Engineers
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Frequently Asked Questions
2. Will my team get any practical experience with this training?
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With our focus on experiential learning, we have made the training as hands-on as possible with assignments, quizzes and capstone projects, and a lab where trainees will learn by doing tasks live.
3. What is your mode of delivery - online or on-site?
We conduct both online and on-site training sessions. You can choose any according to the convenience of your team.
4. Will trainees get certified?
Yes, all trainees will get certificates issued by Uptut under the guidance of industry experts.
5. What do we do if we need further support after the training?
We have an incredible team of mentors that are available for consultations in case your team needs further assistance. Our experienced team of mentors is ready to guide your team and resolve their queries to utilize the training in the best possible way. Just book a consultation to get support.