The training is relevant to groups on behalf of organizations only, and is individually tailored.
The SQL Thinking Patterns Workshop was born to bridge the gap between the business question and the code, and to provide experienced analysts with a strategic toolbox for solving complex data problems.
This is not just another standard SQL course; it is a journey into the analytical mindset. We don’t start from code, but from the business need: how to break down a problem, what thinking patterns are appropriate for each use case, and how to build queries that are not only technically correct, but also provide actionable insights.
The team that leads our courses doesn’t just come from the classroom – but also from the field. They live the world of data every day, teach from real experience, and know how to explain the most complex things in the clearest way. In short – you’re in good hands.
Ram Kedem – has lived in the world of Data for over 15 years, led diverse projects, professionally managed leading colleges, mentored tens of thousands of people, and wrote literature in the field of Data that is sold worldwide.
Gadi Chrust is the head of the analysis team at Plarium. Plarium is one of the largest social gaming companies in the world with over 400 million users. Gadi has many years of technical and business experience, and as part of his work he has interviewed dozens of analysts.
Michael Winner – Principal Data Scientist at the startup Yess. In addition, he worked and led data science initiatives and teams at AppsFlyer and Digital Turbine. Over 7 years of experience as a data scientist and team manager in the field, and 10 years of experience in the data field.
Dotan Antin is an analyst and BI developer at Applied Materials, a company that develops and manufactures systems that form the infrastructure of the global chip industry.
Dotan brings with him extensive experience and knowledge, and as part of his work he deals with various BI technologies.
Aviv Gelfand is a data scientist at the tech company Darrow AI. He holds a BA in statistics and data science from the Hebrew University. He is writing a thesis in the field of language models and methods to save runtime and memory in them, as part of his master’s degree at the Hebrew University.
Omar Bieber is the Head of BI at Superplay, one of the fastest growing gaming startups in the world. Omar brings with him extensive experience in the BI world from companies like Playtika and HiBob.
This is what it sounds like when learning really makes a difference.
An inspiring journey that significantly boosted my analytical skills and elevated my professionalism to an entirely new level.
Thank you for your exceptional ability to break down complex statistical concepts into manageable pieces
if you are looking to expand your data analysis capabilities and explore real-world applications, I strongly recommend considering Upscale Analytics.
A challenging yet eye-opening course - perfect for those with strong analytical skills aiming to advance into machine learning.
A truly transformative course that bridges the gap between data analysis and machine learning with Python — practical, innovative, and expertly delivered.
Highly recommended for anyone looking to level up their skills — top-notch teaching based on the most relevant, up-to-date material.
Big thanks to the amazing Upscale Analytics team – the best professionals to learn from, with outstanding content and teaching!
Remarkable experience that strengthened my data analysis skills and critical thinking — thanks to Upscale's expert, supportive, and inspiring team.
I'm immensely grateful to the teaching staff for their unwavering support and guidance throughout this journey, as it has led to a rapid and fulfilling transformation in my data analysis skills.
Grateful to the amazing teaching staff for their support and guidance throughout this rewarding journey that truly elevated my analytical skills.
A hands-on journey that deepened my understanding of data and sharpened my ability to extract insights — huge thanks to the Upscale team!
This course gave a major boost to my skills as a Data Analyst — covering Linear Regression, XGBoost, K-means, Ensembles, and more.
Awesome course! Learning from amazing instructors alongside a talented group made it truly special. Highly recommended for anyone looking to grow in data.
Huge appreciation to the Upscale Analytics team for their mentorship and dedication. Professional, attentive, engaging - with real-world examples that bring every concept to life.
We believe that data teams no longer need a generic “SQL class.” Therefore, the workshop syllabus is not a rigid list of topics, but a co-construction process designed to ensure maximum relevance to your daily life.
How does it work?
Although the content is personalized, in each workshop we touch on our ironclad principles:
During the course, each student will receive access to the learning management system, which is designed to enrich the learning experience and assist in achieving course objectives.
The system offers a wide range of tools and resources that enable effective and convenient learning:
The workshop is designed for analysts, BI professionals, and data developers who already work with SQL on a daily basis and want to take their skills to the next level. In order to dive right into “thinking patterns” and complex use cases, we expect participants to:
Why do we even need to learn “thinking patterns” in an era where AI writes SQL in seconds?
The AI is an amazing “performer”, but it depends on the prompt and your guidance. Without a deep understanding of “how the problem should be solved”, you are captive to the result that the AI outputs. Mastering thought patterns allows you to identify in seconds whether the received query makes sense or is wrong.
Is the syllabus suitable for all experience levels?
No. The course is designed for analysts and data scientists who already use SQL on a daily basis. However, the beauty of our format is the flexibility – we build the depth of content together with your professional leaders to ensure that the workshop challenges the team exactly where they are interested.
What is the difference between this workshop and a regular advanced SQL course?
In a regular course, you learn functions, technical techniques that lead to a specific solution. In this workshop, you learn the opposite. Instead of going through a list of commands, we start with use cases and break them down into SQL thinking patterns that can be applied to any data platform.
Is the workshop delivered on a specific database (such as BigQuery or Snowflake)?
The thinking patterns we teach are technology-agnostic, meaning they are true for all types of SQL. However, as part of the customization, we will demonstrate and practice on the syntax and platform that your organization uses on a daily basis.
What do you get at the end of the workshop?
In addition to the knowledge and new mindset, each participant receives a toolbox of ready-to-use SQL templates (Cheat Sheets) for the key use cases we practiced, so that they can apply them to their real data the next morning.
How long does the workshop last?
The standard format is a series of meetings lasting approximately 4 academic hours, but the length and depth can be adjusted according to the needs of the organization and the professional gaps we identified in the preliminary introduction phase.
