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Performing Data Analytic Tasks with Snowflake

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

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

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Refreshing your SQL skills will strengthen your foundation for this course.

Browse courses on SQL Syntax

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Review online resources or tutorials on SQL syntax and concepts.
Practice writing basic SQL queries.

Attend a Snowflake User Group Meeting

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Attend a Snowflake User Group meeting to **network** with professionals, learn about best practices, and stay updated on Snowflake developments.

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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

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Review foundational data analytics principles to strengthen your understanding of the course material.

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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

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Join a Study Group for Snowflake Data Analysis

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Participating in a study group will provide you with opportunities to discuss and learn with other students.

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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

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Practice writing queries to sample data and obtain approximations, reinforcing your understanding of these techniques.

Browse courses on Data Sampling

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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

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Creating a cheat sheet will help you summarize and consolidate your understanding of CTEs, views, and subqueries.

Browse courses on CTEs

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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

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Practice composing queries to improve proficiency in **querying**, **data sampling**, and **approximation**.

Browse courses on Querying

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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

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Enhance your proficiency in writing and executing data queries by engaging in regular practice.

Browse courses on SQL Queries

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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

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Following tutorials will provide you with additional guidance and examples on using analytical functions.

Browse courses on Analytical Functions

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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

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Explore **query optimization** techniques in Snowflake to enhance data analysis capabilities.

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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

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Write a **blog post** to share **knowledge** on Snowflake's features, reinforcing understanding of the platform and improving **communication** skills.

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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

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Creating a dashboard will allow you to apply your skills and gain hands-on experience in data analysis.

Browse courses on Data Visualization

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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

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Apply your knowledge to create a practical tool that showcases your data analysis and presentation skills.

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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.

See salaries and explore the career path for Data Architect

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.

See salaries and explore the career path for Operations Research Analyst

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.

See salaries and explore the career path for Statistician

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.

See salaries and explore the career path for Data Management Analyst

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.

See salaries and explore the career path for Database Administrator

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.

See salaries and explore the career path for Actuary

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.

See salaries and explore the career path for Market Researcher

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.

See salaries and explore the career path for Data Governance Analyst

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.

See salaries and explore the career path for Data Visualization Analyst

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.

See salaries and explore the career path for Data Analyst

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.

See salaries and explore the career path for Business Analyst

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.

See salaries and explore the career path for Quantitative Analyst

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.

See salaries and explore the career path for Data Scientist

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.

See salaries and explore the career path for Software Engineer

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.

See salaries and explore the career path for Data Engineer

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.

Big Data: Second Edition

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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.

Performing Data Analytic Tasks with Snowflake

What's inside

Syllabus

Good to know

Save this course

Activities

Career center

Reading list

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