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Warner Chaves

Snowflake offers a deep and wide feature set for data analytic tasks. This course will teach you how to perform common tasks such as data sampling, result approximation, compose queries with CTEs, views, subqueries, analytical functions and more.

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Snowflake offers a deep and wide feature set for data analytic tasks. This course will teach you how to perform common tasks such as data sampling, result approximation, compose queries with CTEs, views, subqueries, analytical functions and more.

The Snowflake Cloud Data Platform is a great choice to build a data analysis platform to empower your organization to make better decisions. In this course, Performing Data Analytic Tasks with Snowflake, you’ll learn to perform common data analytic tasks to be ready to tackle your next project and produce better and faster data insights.

First, you’ll explore Snowflake’s data sampling and approximation capabilities. Next, you’ll discover common ways to compose complex queries though joins, CTEs and subqueries. Finally, you’ll learn how to use Snowflake’s most useful built-in analytical and window functions.

When you’re finished with this course, you’ll have the skills and knowledge of data analytic tasks needed to build your next data solution.

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What's inside

Syllabus

Course Overview
Data Sampling and Approximation
Querying Through Views
Composing Complex Datasets
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Using Built-in Analytical Functions

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Teaches data sampling and approximation capabilities, which is industry-standard
Explores common ways to compose queries through joins, CTEs and subqueries, which is relevant to real-world work
Develops understanding of analytical functions, which is useful for working with analytical RDBMS
Taught by Warner Chaves, who is recognized as a Snowflake subject matter expert
Focuses solely on Snowflake, which may limit transferability of learned skills to other platforms
Requires learners have prior knowledge of SQL, which may hinder accessibility for beginners

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Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Performing Data Analytic Tasks with Snowflake with these activities:
Review SQL Syntax and Concepts
Refreshing your SQL skills will strengthen your foundation for this course.
Browse courses on SQL Syntax
Show steps
  • Review online resources or tutorials on SQL syntax and concepts.
  • Practice writing basic SQL queries.
Attend a Snowflake User Group Meeting
Attend a Snowflake User Group meeting to **network** with professionals, learn about best practices, and stay updated on Snowflake developments.
Browse courses on Snowflake
Show steps
  • Find a local Snowflake User Group meeting
  • Register for the meeting
  • Attend the meeting and engage with other attendees
Refresh understanding of data analytics concepts
Review foundational data analytics principles to strengthen your understanding of the course material.
Show steps
  • Review articles and tutorials on data analysis concepts
  • Attend a webinar or online workshop on data analytics basics
  • Complete practice exercises or quizzes on data analysis principles
Ten other activities
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Join a Study Group for Snowflake Data Analysis
Participating in a study group will provide you with opportunities to discuss and learn with other students.
Browse courses on Snowflake
Show steps
  • Find a study group focused on Snowflake data analysis.
  • Attend regular study sessions.
  • Participate in discussions and share your knowledge.
Practice Data Sampling and Approximation Queries
Practice writing queries to sample data and obtain approximations, reinforcing your understanding of these techniques.
Browse courses on Data Sampling
Show steps
  • Create a Snowflake account (if you don't have one already).
  • Write a query to sample 10% of the rows from a table.
  • Write a query to approximate the average of a column using the APPROXIMATE_PERCENTILE function.
  • Write a query to approximate the median of a column using the APPROXIMATE_MEDIAN function.
  • Write a query to approximate the distinct count of values in a column using the APPROXIMATE_COUNT_DISTINCT function.
Create a Cheat Sheet for CTEs, Views, and Subqueries
Creating a cheat sheet will help you summarize and consolidate your understanding of CTEs, views, and subqueries.
Browse courses on CTEs
Show steps
  • Review the course materials on CTEs, views, and subqueries.
  • Identify the key concepts and syntax for each topic.
  • Create a cheat sheet that includes examples and explanations.
Practice Composing Queries
Practice composing queries to improve proficiency in **querying**, **data sampling**, and **approximation**.
Browse courses on Querying
Show steps
  • Create a database and table to practice on
  • Write queries to retrieve specific data
  • Use sampling and approximation techniques to optimize queries
Practice data querying and manipulation
Enhance your proficiency in writing and executing data queries by engaging in regular practice.
Browse courses on SQL Queries
Show steps
  • Solve data analysis problems using SQL queries
  • Manipulate and transform data using built-in functions and operators
  • Use online platforms or textbooks to access practice exercises and datasets
Follow Tutorials on Using Analytical Functions
Following tutorials will provide you with additional guidance and examples on using analytical functions.
Browse courses on Analytical Functions
Show steps
  • Search for tutorials on Snowflake analytical functions.
  • Follow a tutorial that covers the functions you are interested in.
  • Try out the examples provided in the tutorial.
Explore Snowflake's Query Optimization Techniques
Explore **query optimization** techniques in Snowflake to enhance data analysis capabilities.
Browse courses on Query Optimization
Show steps
  • Review Snowflake documentation on query optimization
  • Follow online tutorials on Snowflake query optimization best practices
  • Implement learned techniques in practice queries
Write a Blog Post on Snowflake's Features
Write a **blog post** to share **knowledge** on Snowflake's features, reinforcing understanding of the platform and improving **communication** skills.
Browse courses on Snowflake
Show steps
  • Research Snowflake's features and benefits
  • Outline the content and key points
  • Write and edit the blog post
  • Publish and promote the blog post
Build a Data Analytic Dashboard with Snowflake
Creating a dashboard will allow you to apply your skills and gain hands-on experience in data analysis.
Browse courses on Data Visualization
Show steps
  • Identify a dataset to use for your dashboard.
  • Design the layout and visualizations for your dashboard.
  • Use Snowflake to create the necessary tables and views.
  • Write SQL queries to retrieve the data for your dashboard.
  • Use a visualization tool to create the charts and graphs for your dashboard.
Develop a data analysis dashboard
Apply your knowledge to create a practical tool that showcases your data analysis and presentation skills.
Browse courses on Data Visualization
Show steps
  • Identify a business problem or opportunity
  • Collect and analyze relevant data
  • Design and build an interactive data dashboard
  • Present your dashboard to stakeholders or peers

Career center

Learners who complete Performing Data Analytic Tasks with Snowflake will develop knowledge and skills that may be useful to these careers:
Data Architect
Data Architects design and manage data architectures that meet the needs of an organization. They ensure that data is organized, accessible, and secure to support decision-making and business operations. This course, Performing Data Analytic Tasks with Snowflake, may be useful for aspiring Data Architects seeking to gain expertise in Snowflake's data analytic capabilities. It provides a deep dive into data sampling, approximation, and advanced query composition techniques, which are crucial for designing and implementing effective data architectures.
Operations Research Analyst
Operations Research Analysts use mathematical and analytical techniques to improve the efficiency and effectiveness of business operations. They develop and implement models to optimize processes, reduce costs, and increase productivity. This course, Performing Data Analytic Tasks with Snowflake, may be useful for aspiring Operations Research Analysts seeking to enhance their data analysis skills and gain proficiency in using Snowflake for data-driven decision-making.
Statistician
Statisticians collect, analyze, and interpret data to provide insights and inform decision-making. They use statistical models and techniques to uncover patterns and trends in data. This course, Performing Data Analytic Tasks with Snowflake, may be useful for aspiring Statisticians seeking to enhance their data analysis skills and gain proficiency in using Snowflake for statistical analysis.
Data Management Analyst
Data Management Analysts plan and execute strategies for managing an organization's data assets. They oversee data quality, data security, and data integration initiatives to ensure that data is reliable, secure, and accessible to authorized users. This course, Performing Data Analytic Tasks with Snowflake, may be useful for aspiring Data Management Analysts seeking to enhance their data analysis skills and gain proficiency in using Snowflake for data management and administration.
Database Administrator
Database Administrators ensure that databases are running smoothly and efficiently. They are responsible for installing, configuring, maintaining, and troubleshooting database systems. This course, Performing Data Analytic Tasks with Snowflake, may be useful for aspiring Database Administrators seeking to specialize in Snowflake. It provides hands-on experience with data sampling, approximation, and advanced query composition techniques specific to Snowflake.
Actuary
Actuaries use mathematical and statistical models to assess risk and uncertainty. They work in various industries, including insurance, finance, and healthcare, to evaluate and mitigate risk. This course, Performing Data Analytic Tasks with Snowflake, may be useful for aspiring Actuaries seeking to enhance their data analysis skills and gain proficiency in using Snowflake for risk assessment and modeling.
Market Researcher
Market Researchers gather and analyze data to understand consumer behavior and market trends. They use this information to help businesses make informed decisions about product development, marketing campaigns, and pricing strategies. This course, Performing Data Analytic Tasks with Snowflake, may be useful for aspiring Market Researchers seeking to enhance their data analysis skills and gain proficiency in using Snowflake for market research and analysis.
Data Governance Analyst
Data Governance Analysts develop and implement policies and procedures to ensure that data is managed consistently and securely throughout an organization. They work with various stakeholders to define data standards, establish data governance frameworks, and monitor data usage. This course, Performing Data Analytic Tasks with Snowflake, may be useful for aspiring Data Governance Analysts seeking to enhance their data analysis skills and gain proficiency in using Snowflake for data governance and compliance.
Data Visualization Analyst
Data Visualization Analysts create visual representations of data to communicate insights and trends. They use their skills in data analysis and design to transform complex data into easy-to-understand visualizations. This course, Performing Data Analytic Tasks with Snowflake, may be useful for aspiring Data Visualization Analysts seeking to enhance their data analysis skills and gain proficiency in using Snowflake for data visualization.
Data Analyst
Data Analysts examine data with a focus on uncovering insights and trends that businesses use to make strategic decisions. They use their technical skills in SQL and programming languages to clean, explore, and analyze large datasets. This course, Performing Data Analytic Tasks with Snowflake, may be useful for aspiring Data Analysts seeking to build a foundation in Snowflake's powerful data analytic capabilities, including data sampling, approximation, and the use of CTEs, views, subqueries, and analytical functions.
Business Analyst
Business Analysts bridge the gap between technical and business teams by translating business requirements into technical solutions. They use their analytical skills to identify and solve business problems, often leveraging data to inform their recommendations. This course, Performing Data Analytic Tasks with Snowflake, may be useful for Business Analysts seeking to enhance their data analysis capabilities and gain proficiency in using Snowflake's tools for data sampling, approximation, and advanced query composition.
Quantitative Analyst
Quantitative Analysts use mathematical and statistical models to analyze financial data and make investment decisions. They leverage their expertise in data analysis and programming to identify trading opportunities and manage risk. While this course may not explicitly cover financial analysis, it provides a solid foundation in data sampling, approximation, and advanced query composition, which are essential skills for Quantitative Analysts working with large datasets.
Data Scientist
Data Scientists build and deploy machine learning models to solve real-world problems. These professionals leverage their expertise in data analysis, statistics, and computer science to create algorithms that can predict future outcomes and automate decision-making. While this course may not explicitly cover machine learning, it provides a solid foundation in data sampling, approximation, and advanced query composition, which are essential skills for aspiring Data Scientists.
Software Engineer
Software Engineers design, develop, and maintain software applications. They use their programming skills to create solutions that meet specific business needs. While this course may not directly teach software development, it provides a solid foundation in data sampling, approximation, and advanced query composition, which are essential skills for Software Engineers working on data-driven applications.
Data Engineer
Data Engineers design, build, and maintain data pipelines and infrastructure that support data-driven organizations. They ensure data is accessible, reliable, and secure for various stakeholders. While this course may not directly cover data engineering, it provides a strong foundation in data sampling, approximation, and advanced query composition, which are essential skills for Data Engineers working with Snowflake.

Reading list

We've selected ten books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Performing Data Analytic Tasks with Snowflake.
Provides a comprehensive overview of data analytics, including data sampling, query composition, and analytical functions. It great resource for learners who want to build a strong foundation in data analytics.
Practical guide to using Snowflake for enterprise data warehousing, covering topics such as data modeling, data integration, and data governance.
Provides a comprehensive introduction to deep learning. It covers topics such as neural networks, convolutional neural networks, and recurrent neural networks. It great resource for learners who want to get started with deep learning.
An excellent resource for learners who need a deeper dive into data wrangling with Python, a popular programming language for working with data.
Provides a practical introduction to data science, with a focus on business applications. It covers topics such as data sampling, data visualization, and machine learning. It great resource for learners who want to use data analytics to solve business problems.
A great resource for beginners to SQL, providing a solid foundation for understanding the basics of data querying and manipulation.

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