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Kishan Iyer

To get an understanding of data, you need to analyze it using a variety of different techniques. This course delves into the use of SQL queries, and especially visualizations and dashboards to identify patterns and trends in data.

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To get an understanding of data, you need to analyze it using a variety of different techniques. This course delves into the use of SQL queries, and especially visualizations and dashboards to identify patterns and trends in data.

What makes Databricks SQL such a powerful tool for data analysts is that it allows data to be examined in many different ways from a single platform. In this course, Running Queries and Visualizing Data with Databricks SQL, you'll learn about SQL queries, visualizations, and dashboards to get an all-round understanding of data. First, you'll discover basic visualizations such as line charts and pie charts out of the results generated by a query execution, and cover how these can capture useful patterns hidden in the data. Next, you'll explore some of the specialized charts such as maps and word clouds which have limited use cases, but are still very powerful and keep end users engaged. Finally, you'll learn different types of SQL queries and how these tie in to visualizations and dashboards in Databricks SQL. Once you've completed this course, you'll have the practical knowledge and skills required to analyze big data in an effective and efficient manner, and make the best use of the features of Databricks SQL.

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What's inside

Syllabus

Course Overview
Visualizing Data with Basic Charts
Creating Dashboards Using Visualizations
Running Basic Queries Using SQL
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Good to know

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Suitable for data analysts who need to gain a practical understanding of SQL and data visualization using Databricks SQL
Utilizes a single platform to explore data in various ways, enhancing comprehension and analysis
Covers basic and specialized visualizations to cater to diverse data analysis needs
Led by industry experts Kishan Iyer, known for their expertise in SQL and data analytics

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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 Running Queries and Visualizing Data with Databricks SQL with these activities:
Compile materials
Organizing and reviewing course materials will help orientate you to the course content and begin to reinforce names and concepts that will be introduced later.
Browse courses on SQL Queries
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Review basic SQL concepts
Revisit the fundamentals of SQL to refresh your understanding and strengthen your foundation for this course.
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  • Read through your notes or a SQL tutorial.
  • Practice writing basic SQL queries.
Explore Databricks SQL documentation and tutorials
Gain a deeper understanding of Databricks SQL's capabilities and best practices for data visualization and dashboard creation.
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  • Review the official Databricks SQL documentation
  • Follow interactive tutorials on how to use Databricks SQL for data visualization
  • Experiment with different SQL queries and visualizations to explore the possibilities
Five other activities
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Practice SQL queries on sample datasets
Build familiarity with SQL syntax and data querying techniques, which are essential for data visualization and dashboard creation in Databricks SQL.
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  • Find publicly available datasets related to a topic of interest
  • Import the dataset into a data analysis tool or platform
  • Write SQL queries to extract, filter, and aggregate data
  • Analyze the results and draw insights from the data
Complete Databricks SQL tutorials
Enhance your skills by following guided tutorials specific to Databricks SQL, deepening your understanding of its features and functionalities.
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Show steps
  • Identify relevant Databricks SQL tutorials.
  • Walk through the tutorials, completing the exercises.
Write SQL queries for data analysis
Solidify your SQL query-writing skills by practicing on real-world data analysis problems.
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  • Find datasets online or use provided datasets.
  • Identify data analysis questions.
  • Write SQL queries to answer the questions.
Create a dashboard to visualize data from a real-world dataset
Apply the skills learned in the course to a practical project, demonstrating proficiency in data visualization and dashboard creation using Databricks SQL.
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  • Identify a real-world dataset of interest
  • Load the dataset into Databricks SQL
  • Design and create a dashboard that visualizes key insights from the data
  • Share and present the dashboard to others
Develop a data dashboard using Databricks SQL
Demonstrate your mastery of Databricks SQL by creating an interactive data dashboard that showcases key insights from a dataset.
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  • Determine the purpose and target audience for the dashboard.
  • Design the dashboard layout and visualizations.
  • Use Databricks SQL to extract and transform data.
  • Create interactive visualizations using Databricks SQL.
  • Publish and share the dashboard.

Career center

Learners who complete Running Queries and Visualizing Data with Databricks SQL will develop knowledge and skills that may be useful to these careers:
Data Analyst
Data Analysts perform complex data analysis and provide insights to organizations. To do this effectively, they often have to present these insights to a diverse audience in very clear, easy-to-understand ways. By providing foundational knowledge of SQL queries, visualizations, and dashboards, Running Queries and Visualizing Data with Databricks SQL may help you build a foundation for effective data presentation as a Data Analyst. It may also help you translate your analytical skills into practical, actionable insights that can help an organization make critical decisions.
Business Analyst
By learning the art of compiling meaningful insights from complex data using SQL queries, visualizations, and dashboards, Running Queries and Visualizing Data with Databricks SQL may aid you in your pursuit of becoming a successful Business Analyst. These skills can enable you to make data-driven recommendations and help organizations achieve their goals.
Data Scientist
Data Scientists leverage their backgrounds in mathematics and programming to derive meaningful insights from data. They use this information to solve business problems and make predictions. The concepts of SQL queries, visualizations, and dashboards introduced in Running Queries and Visualizing Data with Databricks SQL can help build a foundation for understanding and utilizing data to make impactful decisions.
Data Engineer
Data Engineers collect, process, and manage data to make it accessible to other departments within an organization. To do this, they must be able to understand data and its implications. Running Queries and Visualizing Data with Databricks SQL can help you build a foundation of data manipulation by teaching you how to use SQL queries and visualizations to explore and analyze data.
Database Administrator
Database Administrators ensure that an organization's database runs smoothly to support mission-critical applications. As a Database Administrator, it is necessary to understand SQL to perform data analysis and troubleshooting. Running Queries and Visualizing Data with Databricks SQL can help you familiarize yourself with SQL while also providing hands-on experience running SQL queries and building visualizations.
Software Engineer
Software Engineers build and maintain software applications. While not all Software Engineers work with data, many do, and they need to be able to understand and analyze data to build effective software applications. This course can help build a foundation in data analysis and provide familiarity with SQL, which can be helpful in software development.
Statistician
Statisticians collect, analyze, interpret, and present data to help organizations make informed decisions. They need to be able to understand how to analyze data using a variety of techniques, including SQL queries and visualizations. Running Queries and Visualizing Data with Databricks SQL can help build a foundation for this type of work by providing hands-on experience with SQL queries and visualizations.
Market Researcher
Market Researchers gather and analyze data about markets, consumers, and competitors to help businesses make informed decisions. SQL queries and visualizations provide tools for gathering and interpreting key market data. Running Queries and Visualizing Data with Databricks SQL may help you build a foundation for success in this field by teaching you how to look at data, ask questions and extract critical insights.
Financial Analyst
Financial Analysts help businesses make informed decisions about their finances. To do this, they need to be able to analyze data and identify trends. Running Queries and Visualizing Data with Databricks SQL provides hands-on experience with using SQL queries to analyze data, which can help you build a foundation for a successful career as a Financial Analyst.
Operations Research Analyst
Operations Research Analysts use mathematical and analytical techniques to help organizations make better decisions. SQL is one of the most commonly used tools to analyze data as part of operations research, so Running Queries and Visualizing Data with Databricks SQL can help you build a foundation for this type of work.
Actuary
Actuaries use mathematics and statistics to assess risk and uncertainty. This requires an ability to analyze data and identify trends. Running Queries and Visualizing Data with Databricks SQL provides hands-on experience with using SQL queries to analyze data, which can be a helpful foundation for Actuarial work.
Data Architect
Data Architects design and build data systems that meet the needs of an organization. This requires an understanding of how data is used and analyzed, and how to design systems that can support that use. Running Queries and Visualizing Data with Databricks SQL can help you begin to build this understanding by providing hands-on experience with using SQL to analyze data and build visualizations.
Database Developer
Database Developers build and maintain databases. This requires knowledge of SQL and how to use it to interact with data, both to manage the database and to extract insights. Running Queries and Visualizing Data with Databricks SQL provides hands-on experience with using SQL queries and building visualizations, which can help you build a foundation for success as a Database Developer.
Quantitative Analyst
Quantitative Analysts use mathematical and statistical techniques to analyze financial data. They need to be able to use data to make predictions and identify trends. Running Queries and Visualizing Data with Databricks SQL can provide foundational knowledge in using SQL queries to analyze data, which can help you build a foundation for a career as a Quantitative Analyst.
Risk Analyst
Risk Analysts identify and assess risks to an organization. They need to be able to analyze data to find patterns and trends. Running Queries and Visualizing Data with Databricks SQL can provide foundational knowledge in using SQL queries to analyze data, which can be a helpful skill for Risk Analysts.

Reading list

We've selected 15 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 Running Queries and Visualizing Data with Databricks SQL.
This accessible guide to SQL queries provides practical, step-by-step instructions for beginners. It offers numerous examples and exercises, making it an excellent resource for learning basic and advanced query techniques.
Comprehensive guide to Hadoop, covering both the basics and more advanced concepts. It valuable resource for anyone who wants to learn how to use Hadoop to process and analyze big data.
Comprehensive guide to Spark, covering both the basics and more advanced concepts. It valuable resource for anyone who wants to learn how to use Spark to process and analyze big data.
Provides a deep dive into the design and implementation of data-intensive applications, covering both the theoretical and practical aspects. It valuable resource for anyone who wants to learn how to design and build scalable and reliable data-intensive applications.
Provides a solid foundation in data visualization principles and techniques, with a focus on practical applications. It great resource for anyone who wants to learn how to create effective data visualizations.
Comprehensive guide to data visualization with Python and JavaScript, covering both the basics and more advanced concepts. It valuable resource for anyone who wants to learn how to create effective data visualizations using these tools.
Comprehensive guide to creating effective dashboards, covering both the design and technical aspects. It valuable resource for anyone who wants to learn how to create dashboards that are both visually appealing and informative.
Provides a comprehensive overview of data science, covering both the technical and business aspects. It valuable resource for anyone who wants to learn how to use data science to solve business problems.
This classic work on dimensional modeling provides a comprehensive framework and best practices for designing and implementing data warehouses. It offers valuable insights into data modeling techniques and data warehouse architecture.
This concise and practical guide to Git provides a quick reference to the most commonly used commands and workflows. It is an invaluable resource for beginners and experienced users alike, offering a clear and accessible introduction to version control.
This widely acclaimed book on software design and coding practices provides a systematic approach to writing clean and maintainable code. It covers principles, patterns, and best practices for writing high-quality software.
This classic book on design patterns provides a catalog of proven solutions to common software design problems. It offers a deep dive into the principles and applications of object-oriented design patterns, making it an invaluable resource for software architects and developers.
This timeless classic on software engineering and project management offers insights into the challenges and complexities of software development. It provides a historical perspective on the evolution of software engineering practices and highlights the importance of effective team dynamics and communication.

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