SQL for Data Analysis: Solving real-world problems with data
This course provides an introduction to SQL for data analysis, covering topics such as data extraction, data manipulation, and data visualization. It is designed to help learners develop the skills necessary to solve real-world problems with data. ▼
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Course Feature
Cost:
Free Trial
Provider:
Udemy
Certificate:
No Information
Language:
English
Course Overview
❗The content presented here is sourced directly from Udemy platform. For comprehensive course details, including enrollment information, simply click on the 'Go to class' link on our website.
Updated in [March 06th, 2023]
This course, SQL for Data Analysis: Solving real-world problems with data, provides an introduction to the most important SQL to get the job done quickly. It focuses on how to use SQL to solve real-world business problems, as well as excellent data handling, joining, and summarization abilities. Participants will learn how a real-world relational database works, using never seen before data, and how to use SQL to create an analysis and solve problems from start to finish. Finally, the course will cover how to choose which animals to see while in Australia.
[Applications]
After taking this course, students should be able to apply their knowledge of SQL to solve real-world problems. They should be able to use SQL to handle data, join tables, and summarize data. They should also be able to use SQL to create an analysis and solve problems from start to finish. Additionally, they should be able to use SQL to determine which animals to see while in Australia.
[Career Paths]
1. Data Analyst: Data Analysts are responsible for collecting, organizing, and analyzing data to help businesses make informed decisions. They use a variety of tools, such as SQL, to extract, clean, and transform data from multiple sources. Data Analysts also develop reports and visualizations to present their findings to stakeholders. As data becomes increasingly important to businesses, the demand for Data Analysts is expected to grow.
2. Business Intelligence Developer: Business Intelligence Developers use SQL to create and maintain data warehouses and data marts. They design and develop data models, ETL processes, and data visualizations to help businesses make better decisions. As businesses become more data-driven, the demand for Business Intelligence Developers is expected to increase.
3. Database Administrator: Database Administrators are responsible for the installation, configuration, and maintenance of databases. They use SQL to create and manage databases, as well as to troubleshoot and optimize performance. As businesses rely more heavily on databases, the demand for Database Administrators is expected to grow.
4. Data Scientist: Data Scientists use SQL to analyze large datasets and uncover insights. They use a variety of tools, such as machine learning and natural language processing, to develop predictive models and uncover patterns in data. As businesses become more data-driven, the demand for Data Scientists is expected to increase.
[Education Paths]
1. Bachelor of Science in Computer Science: This degree path focuses on the fundamentals of computer science, including programming, software engineering, and database management. It also covers topics such as artificial intelligence, machine learning, and data science. As the demand for data-driven solutions continues to grow, this degree path is becoming increasingly popular.
2. Bachelor of Science in Data Science: This degree path focuses on the application of data science to solve real-world problems. It covers topics such as data mining, machine learning, and predictive analytics. It also provides students with the skills to analyze large datasets and develop data-driven solutions.
3. Master of Science in Business Analytics: This degree path focuses on the application of analytics to business problems. It covers topics such as data mining, predictive analytics, and decision-making. It also provides students with the skills to analyze large datasets and develop data-driven solutions.
4. Master of Science in Data Science: This degree path focuses on the application of data science to solve real-world problems. It covers topics such as data mining, machine learning, and predictive analytics. It also provides students with the skills to analyze large datasets and develop data-driven solutions. As the demand for data-driven solutions continues to grow, this degree path is becoming increasingly popular.
Course Syllabus
Getting the Software: Downloading the mySQL relational database manager.
Using the Software: The 3 important parts of mySQL workbench for writing SQL
Let's code again! Is my name more suited to puppy dogs or humans?
Uploading the Data: The rich bank relational database unique to this course.
Pros & Cons
Pace and detail of explanation
Easy to view and follow
Realistic database examples
Clear audio and professional images
Helpful for other forms of SQL
Real world scenarios and explanations
Easily go beyond it in some parts
To the point and immensely practical
Incomplete course
Other courses lack practicality
Course Provider
Provider Udemy's Stats at AZClass
Discussion and Reviews
0.0 (Based on 0 reviews)
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Quiz
Submitted Sucessfully
1. What is the main purpose of this course?
2. What type of data will be used in this course?
3. What is the last topic of this course?
4. What is the main purpose of SQL?
Correct Answer: To solve real-world business problems.
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