Data Analytics: Intro to SQL using Healthcare Data
Data Analytics: Intro to SQL using Healthcare Data, available at $99.99, has an average rating of 4.56, with 200 lectures, based on 1091 reviews, and has 5516 subscribers.
You will learn about Master the basics to Microsoft SQL Server Management Studio. Understand the basics to SQL – Select, Into, From, Where, Group by, Having, Order by. Learn to create, access, and drop databases. Learn to write complex SQL syntax – Joins, Nested Queries, Creating tables. Practice with a large healthcare database – thousands of rows, multiple tables. Become a data expert and add SQL to your resume. Gain applicable experience that will elevate your career! Healthcare Data Electronic Medical Record Data This course is ideal for individuals who are Everyone! or Anyone wanting to learn SQL to make them better at their current job or find a new job. or Students who want to get ahead of the learning curve and learn using applicable data. or Healthcare professionals who want to become data experts. or Those wanting to learn Microsoft SQL Server Management Studio. It is particularly useful for Everyone! or Anyone wanting to learn SQL to make them better at their current job or find a new job. or Students who want to get ahead of the learning curve and learn using applicable data. or Healthcare professionals who want to become data experts. or Those wanting to learn Microsoft SQL Server Management Studio.
Enroll now: Data Analytics: Intro to SQL using Healthcare Data
Summary
Title: Data Analytics: Intro to SQL using Healthcare Data
Price: $99.99
Average Rating: 4.56
Number of Lectures: 200
Number of Published Lectures: 197
Number of Curriculum Items: 200
Number of Published Curriculum Objects: 197
Original Price: $39.99
Quality Status: approved
Status: Live
What You Will Learn
- Master the basics to Microsoft SQL Server Management Studio.
- Understand the basics to SQL – Select, Into, From, Where, Group by, Having, Order by.
- Learn to create, access, and drop databases.
- Learn to write complex SQL syntax – Joins, Nested Queries, Creating tables.
- Practice with a large healthcare database – thousands of rows, multiple tables.
- Become a data expert and add SQL to your resume.
- Gain applicable experience that will elevate your career!
- Healthcare Data
- Electronic Medical Record Data
Who Should Attend
- Everyone!
- Anyone wanting to learn SQL to make them better at their current job or find a new job.
- Students who want to get ahead of the learning curve and learn using applicable data.
- Healthcare professionals who want to become data experts.
- Those wanting to learn Microsoft SQL Server Management Studio.
Target Audiences
- Everyone!
- Anyone wanting to learn SQL to make them better at their current job or find a new job.
- Students who want to get ahead of the learning curve and learn using applicable data.
- Healthcare professionals who want to become data experts.
- Those wanting to learn Microsoft SQL Server Management Studio.
This course is a comprehensive introduction to SQL. This course is for everyone! Although we will be learning SQL using Microsoft SQL Server Management Studio the skills learned in this course will easily transfer to other database languages (MySQL) and database management systems (Postgres, Oracle, etc.). The purpose of this course is to help you feel comfortable working with complex data and writing SQL scripts while becoming familiar with healthcare data.
It doesn’t matter whether you work in healthcare or not, the examples in this course will help you learn SQL. Individuals who know SQL are in high demand. In fact, the U.S. Bureau of Labor Statistics reported that many SQL experts make over $100,000 per year! Data analytics is a growing field and understanding SQL is essential to becoming an analytics expert.
During this course we will:
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Learn the basics to SQL and Microsoft SQL Server Management Studio
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Write complex SQL syntax – Starting with the basics
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Create Databases and inserting thousands of values
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Analyze thousands of rows of data – real world healthcare data
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Prepare data for visualizations such as PowerBI, Tableau, etc.
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Design Entity Relationship Diagrams
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Aggregate, format, and modify data using SQL operators and functions
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Gain experience with Big Data and solving complex questions using data
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Learn SQL Joins – working with multiple tables and databases
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Practice, Practice, Practice.
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And much more!
Feedback from students is very important to me. I take this feedback and add content to help students understand new concepts. Can’t wait to have you join us.
Course Curriculum
Chapter 1: Introductions
Lecture 1: Course Introduction
Lecture 2: Welcome!
Lecture 3: How to Private Message the Instructor
Lecture 4: Introduction to SQL
Lecture 5: Database Management Systems
Lecture 6: Healthcare Database
Lecture 7: SQL Cheat Sheet
Chapter 2: Downloading Software
Lecture 1: Quick Note about software download
Lecture 2: Downloading Microsoft SQL Server Management Studio
Lecture 3: Link: Download Microsoft SQL Server Management Studio
Chapter 3: Servers and Databases
Lecture 1: Section 3 Introduction
Lecture 2: Connecting to Server in SSMS
Lecture 3: Troubleshoot: Finding Hostname and Servername
Lecture 4: Creating Databases
Lecture 5: Code: Creating Databases
Lecture 6: Dropping Databases
Lecture 7: Code: Dropping Databases
Lecture 8: Using Databases
Lecture 9: Code: Using Databases
Lecture 10: Self Evaluation
Lecture 11: Code: Self Evaluation
Lecture 12: Self Evaluation Review
Lecture 13: Code: Self Evaluation Review
Chapter 4: Creating and Inserting into Tables
Lecture 1: Section 4 Introduction
Lecture 2: Table Structures
Lecture 3: Data Types
Lecture 4: Creating Tables
Lecture 5: Code: Creating Tables
Lecture 6: Dropping Tables
Lecture 7: Code: Dropping Tables
Lecture 8: Inserting Data
Lecture 9: Code: Inserting Data
Lecture 10: Inserting Multiple Rows of Data
Lecture 11: Code: Inserting Multiple Rows of Data
Lecture 12: Tables with null values
Lecture 13: Code: Tables with null values
Lecture 14: Creating Tables with Primary Keys
Lecture 15: Code: Creating Tables with Primary Keys
Lecture 16: If Object_ID
Lecture 17: Code: If Object_ID
Lecture 18: Self Evaluation
Lecture 19: Code: Self Evaluation
Lecture 20: Self Evaluation Review
Lecture 21: Code: Self Evaluation Review
Chapter 5: Retrieving Data
Lecture 1: Section 5 Introduction
Lecture 2: **NOTE**
Lecture 3: Select Statements, Top 100
Lecture 4: Code: Select Statements, Top 100
Lecture 5: Distinct Statements
Lecture 6: Code: Distinct Statements
Lecture 7: Where Clause
Lecture 8: Code: Where Clause
Lecture 9: And, Or, Not, In, Between within a Where clause
Lecture 10: Code: And, Or, Not, In, Between within a Where Clause
Lecture 11: Like, Null, Not Null within a Where Clause
Lecture 12: Code: Like, Null, Not Null within a Where Clause
Lecture 13: Order by
Lecture 14: Order by (part 2)
Lecture 15: Code: Order by
Lecture 16: Aggregate Functions – Count
Lecture 17: Code: Aggregate Functions – Count
Lecture 18: Group by
Lecture 19: Code: Group by
Lecture 20: Aggregate Functions – Min and Max
Lecture 21: Code: Aggregate Functions – Min and Max
Lecture 22: Aggregate Functions – Sum
Lecture 23: Code: Aggregate Functions – Sum
Lecture 24: Aggregate Functions – Avg
Lecture 25: Code: Aggregate Functions – Avg
Lecture 26: Alias Names
Lecture 27: Code: Alias Names
Lecture 28: Concatenation
Lecture 29: Code: Concatenation
Lecture 30: Additional Where and Having Clause Operators
Lecture 31: Code: Additional Where and Having Clause Operators
Lecture 32: Having
Lecture 33: Code: Having
Lecture 34: Case
Lecture 35: Code: Case
Lecture 36: Self Evaluation
Lecture 37: Code: Self Evaluation
Lecture 38: Self Evaluation Review
Lecture 39: Code: Self Evaluation Review
Chapter 6: Jumping Back to Inserting Data (Section 4)
Lecture 1: Section 6 Introduction
Lecture 2: Code: Section 6
Lecture 3: Updating Data
Lecture 4: Code: Updating Data
Lecture 5: Deleting Data
Lecture 6: Code: Deleting Data
Lecture 7: Truncate Tables
Lecture 8: Code: Truncate Tables
Lecture 9: Alter Tables
Lecture 10: Code: Alter Tables
Lecture 11: **NOTE**
Instructors
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Curtis Norman
Healthcare Finance and Analytics Consultant
Rating Distribution
- 1 stars: 5 votes
- 2 stars: 8 votes
- 3 stars: 60 votes
- 4 stars: 328 votes
- 5 stars: 690 votes
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