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Josh Bernhard ,
Derek Steer,
Mat Leonard,
Dana Sheahan,
and
Sam Nelson
Take Udacity's SQL for Data Analysis course and learn to use Structured Query Language (SQL) to extract and analyze data stored in databases.
Register for this course and see more details by visiting:
OpenCourser.com/course/yoya18/using
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What's inside
Syllabus
This is a quick summary of what is covered in this course.
In this section, you will gain knowledge about SQL basics for working with a single table. You will learn the key commands to filter a table in many different ways.
Read more
Syllabus
This is a quick summary of what is covered in this course.
In this section, you will gain knowledge about SQL basics for working with a single table. You will learn the key commands to filter a table in many different ways.
Read more
In this lesson, you will learn how to combine data from multiple tables together.
In this lesson, you will learn how to aggregate data using SQL functions
In this lesson, you will learn about subqueries, a fundamental advanced SQL topic. This lesson will walk you through the appropriate applications of subqueries, the different types of subqueries, and review subquery syntax and examples.
Window functions allow users to compare one row to another without doing any joins using one of the most powerful concepts in SQL data analysis.
Cleaning data is an important part of the data analysis process. You will be learning how to perform data cleaning using SQL in this lesson.
In this project, you will use a digital music store database to help the company see how they might optimize their business practices.
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Teaches the fundamentals of SQL for extracting and analyzing data, which is foundational in the field of data science and data analysis
Provides hands-on labs and interactive materials, which can help learners apply their knowledge and develop practical skills
Covers essential SQL topics, including data filtering, data aggregation, data cleaning, and subqueries, providing learners with a comprehensive understanding of SQL basics
Introduces window functions, which allows learners to perform more advanced SQL data analysis techniques
Taught by instructors who are recognized in the field, which can provide learners with valuable insights and industry knowledge
Offered through Udacity, a reputable online learning platform, which provides learners with access to quality educational content
Save this course
Save Using SQL for Data Analysis to your list so you can find it easily later:
Save
Save
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 Using SQL for Data Analysis with these
activities:
Review probability and statistics concepts
Show steps
Ensure a strong foundation in probability and statistics, which are essential concepts for data analysis.
Browse courses on
Probability
Show steps
-
Review notes or textbooks on probability and statistics
-
Complete practice problems or exercises
Practice basic SQL syntax
Show steps
Refresh your understanding of basic SQL syntax to ensure you have a strong foundation for the course.
Show steps
-
Review online tutorials on SQL basics
-
Complete practice exercises on SQL syntax
Review SQL basics
Show steps
Go over the basics of SQL to prepare for this course. This will help you be prepared for the more advanced concepts covered in this course.
Show steps
-
Read a SQL tutorial
-
Complete a few SQL practice problems
Nine other activities
Expand to see all activities and additional details
Show all 12 activities
Watch video tutorials on SQL
Show steps
Find video tutorials on SQL to supplement your understanding of the concepts covered in this course.
Show steps
-
Search for video tutorials on SQL
-
Watch the videos and take notes
Practice Writing SQL Queries
Show steps
Complete practice drills and exercises to sharpen your SQL skills and reinforce your understanding of SQL concepts.
Show steps
-
Find online SQL practice questions and exercises.
-
Set aside regular time to practice writing SQL queries.
-
Review your queries and identify areas for improvement.
-
Seek feedback from peers or instructors on your queries.
Learn about data wrangling with SQL
Show steps
Become familiar with techniques for cleaning and manipulating data using SQL, a crucial skill for data analysis.
Browse courses on
Data Wrangling
Show steps
-
Follow online tutorials on data wrangling with SQL
-
Practice data wrangling exercises in SQL
Form a study group with other students
Show steps
Find other students taking the same course and start a study group to support each other's learning.
Show steps
-
Reach out to other students in the course
-
Find a time to meet regularly
-
Discuss the course material and work on assignments together
Join a study group or discussion forum
Show steps
Connect with other students to discuss course concepts, ask questions, and share knowledge, enhancing your learning experience.
Browse courses on
Collaboration
Show steps
-
Join or create a study group
-
Participate in discussions and ask questions
Practice writing SQL queries
Show steps
Practice writing SQL queries to reinforce your understanding of the syntax and concepts.
Show steps
-
Find a set of SQL practice problems
-
Attempt to solve the problems
-
Check your answers and identify areas for improvement
Solve SQL coding challenges
Show steps
Challenge yourself by solving SQL coding problems to improve your problem-solving skills and deepen your understanding of SQL.
Show steps
-
Find online SQL coding challenges
-
Attempt to solve the challenges using SQL
-
Review solutions and learn from mistakes
Develop a data analysis project using SQL
Show steps
Apply your SQL skills by creating a data analysis project that involves data extraction, analysis, and visualization.
Browse courses on
Data Visualization
Show steps
-
Identify a dataset and research a problem to solve
-
Extract and analyze data using SQL
-
Create visualizations to present your findings
-
Write a report summarizing your project
Build a data analysis project using SQL
Show steps
Create a data analysis project using SQL to apply the skills you have learned in this course.
Show steps
-
Identify a dataset that you want to analyze
-
Design and write SQL queries to extract and analyze the data
-
Visualize the results of your analysis
-
Write a report summarizing your findings
Review probability and statistics concepts
Show steps
Ensure a strong foundation in probability and statistics, which are essential concepts for data analysis.
Browse courses on
Probability
Show steps
Show steps
Show steps
- Review notes or textbooks on probability and statistics
- Complete practice problems or exercises
Practice basic SQL syntax
Show steps
Refresh your understanding of basic SQL syntax to ensure you have a strong foundation for the course.
Show steps
Show steps
Show steps
- Review online tutorials on SQL basics
- Complete practice exercises on SQL syntax
Review SQL basics
Show steps
Go over the basics of SQL to prepare for this course. This will help you be prepared for the more advanced concepts covered in this course.
Show steps
Show steps
Show steps
- Read a SQL tutorial
- Complete a few SQL practice problems
Nine other activities
Expand to see all activities and additional details
Show all 12 activities
Watch video tutorials on SQL
Show steps
Find video tutorials on SQL to supplement your understanding of the concepts covered in this course.
Show steps
Show steps
Show steps
- Search for video tutorials on SQL
- Watch the videos and take notes
Practice Writing SQL Queries
Show steps
Complete practice drills and exercises to sharpen your SQL skills and reinforce your understanding of SQL concepts.
Show steps
Show steps
Show steps
- Find online SQL practice questions and exercises.
- Set aside regular time to practice writing SQL queries.
- Review your queries and identify areas for improvement.
- Seek feedback from peers or instructors on your queries.
Learn about data wrangling with SQL
Show steps
Become familiar with techniques for cleaning and manipulating data using SQL, a crucial skill for data analysis.
Browse courses on
Data Wrangling
Show steps
Show steps
Show steps
- Follow online tutorials on data wrangling with SQL
- Practice data wrangling exercises in SQL
Form a study group with other students
Show steps
Find other students taking the same course and start a study group to support each other's learning.
Show steps
Show steps
Show steps
- Reach out to other students in the course
- Find a time to meet regularly
- Discuss the course material and work on assignments together
Join a study group or discussion forum
Show steps
Connect with other students to discuss course concepts, ask questions, and share knowledge, enhancing your learning experience.
Browse courses on
Collaboration
Show steps
Show steps
Show steps
- Join or create a study group
- Participate in discussions and ask questions
Practice writing SQL queries
Show steps
Practice writing SQL queries to reinforce your understanding of the syntax and concepts.
Show steps
Show steps
Show steps
- Find a set of SQL practice problems
- Attempt to solve the problems
- Check your answers and identify areas for improvement
Solve SQL coding challenges
Show steps
Challenge yourself by solving SQL coding problems to improve your problem-solving skills and deepen your understanding of SQL.
Show steps
Show steps
Show steps
- Find online SQL coding challenges
- Attempt to solve the challenges using SQL
- Review solutions and learn from mistakes
Develop a data analysis project using SQL
Show steps
Apply your SQL skills by creating a data analysis project that involves data extraction, analysis, and visualization.
Browse courses on
Data Visualization
Show steps
Show steps
Show steps
- Identify a dataset and research a problem to solve
- Extract and analyze data using SQL
- Create visualizations to present your findings
- Write a report summarizing your project
Build a data analysis project using SQL
Show steps
Create a data analysis project using SQL to apply the skills you have learned in this course.
Show steps
Show steps
Show steps
- Identify a dataset that you want to analyze
- Design and write SQL queries to extract and analyze the data
- Visualize the results of your analysis
- Write a report summarizing your findings
Career center
Learners who complete Using SQL for Data Analysis will develop knowledge and skills
that may be useful to these careers:
Data Analyst
Data Analyst
Data Analysts use Structured Query Language (SQL) to extract, analyze, and interpret data from databases in order to identify trends and patterns, and to provide insights and recommendations to businesses.
Data Scientist
Data Scientist
Data Scientists develop and implement SQL queries to extract and analyze data from various sources in order to derive insights and build predictive models to solve business problems.
Database Administrator
Database Administrator
Database Administrators design, implement, and maintain databases, which involves writing and executing SQL queries to create, modify, and query the database, as well as to monitor and optimize its performance.
Business Analyst
Business Analyst
Business Analysts leverage SQL to perform data analysis and extract insights from large datasets to help businesses make informed decisions.
Software Engineer
Software Engineer
Software Engineers may use SQL to interact with databases to read, write, and manipulate data, as well as to optimize the performance of database queries.
Financial Analyst
Financial Analyst
Financial Analysts often use SQL to analyze financial data, build models, and generate reports to support investment decisions.
Market Researcher
Market Researcher
Market Researchers may use SQL to collect and analyze data from surveys, interviews, and other sources to gain insights into consumer behavior and market trends.
Operations Research Analyst
Operations Research Analyst
Operations Research Analysts use SQL to analyze data and build models to optimize processes and improve operational efficiency.
Statistician
Statistician
Statisticians may use SQL to extract and analyze data to derive insights and make predictions.
Epidemiologist
Epidemiologist
Epidemiologists use SQL to analyze data on diseases and outbreaks to identify patterns and trends, and to develop strategies for prevention and control.
Journalist
Journalist
Journalists may use SQL to extract and analyze data from various sources to inform their reporting and uncover insights.
Public Health Specialist
Public Health Specialist
Public Health Specialists may use SQL to analyze data on health outcomes and behaviors to identify trends and patterns, and to develop programs and interventions to improve public health.
Environmental Scientist
Environmental Scientist
Environmental Scientists may use SQL to analyze data on environmental factors to assess their impact and develop strategies for protection.
Forensic Scientist
Forensic Scientist
Forensic Scientists may use SQL to analyze data from crime scenes and other sources to identify and interpret evidence.
Librarian
Librarian
Librarians may use SQL to organize and manage data, such as cataloging books and other resources, and to assist researchers in accessing and analyzing information.
For more career information including salaries, visit:
OpenCourser.com/course/yoya18/using
Reading list
We've selected six 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
Using SQL for Data Analysis.
This comprehensive textbook provides a thorough foundation in database systems, including SQL. It covers topics such as data modeling, query optimization, and transaction management. Suitable for learners seeking a deep understanding of the underlying principles of SQL and database systems.
This classic book provides a deep dive into the theoretical foundations of SQL and relational database design. While not directly focused on data analysis, it offers valuable insights for learners seeking a comprehensive understanding of SQL's underlying principles.
This practical book provides guidance on optimizing SQL performance, covering topics such as query analysis, indexing, and hardware considerations. Beneficial for learners interested in gaining expertise in SQL performance optimization.
This beginner-friendly book offers a practical approach to SQL data manipulation, focusing on real-world examples and providing step-by-step instructions. It's a valuable resource for learners seeking to build a strong foundation in SQL.
Provides a comprehensive overview of SQL injection attacks and defense techniques. While not directly related to data analysis, it's a valuable resource for learners interested in securing their SQL applications.
Save
This concise and beginner-friendly guide provides a quick introduction to SQL, covering essential concepts and syntax. Suitable for complete beginners looking to get started with SQL quickly.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/yoya18/using
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Effort
3 weeks
Via
Udacity
Instructors
Josh Bernhard
Derek Steer
Mat Leonard
Dana Sheahan
Sam Nelson
Language
English
Good to know
Teaches the fundamentals of SQL for extracting and analyzing data, which is foundational in the field of data science and data analysis
Provides hands-on labs and interactive materials, which can help learners apply their knowledge and develop practical skills
Covers essential SQL topics, including data filtering, data aggregation, data cleaning, and subqueries, providing learners with a comprehensive understanding of SQL basics
Introduces window functions, which allows learners to perform more advanced SQL data analysis techniques
Taught by instructors who are recognized in the field, which can provide learners with valuable insights and industry knowledge
Offered through Udacity, a reputable online learning platform, which provides learners with access to quality educational content
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