Data Analysis for Business


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  • 15
    Lessons
  • 16
    Exams &
    Assignments
  • 7
    Hours
    average time
  • 0.7
    CEUs
 
 
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Course Description

There are a wide variety of tools and resources that businesses use as a part of their daily operations and functions. In many cases, this is necessary in order for them to keep pace with other businesses and the rest of the professional world in an ever-changing economy. Being even slightly behind the competition could cause a significant disadvantage and lead to losses, including financial ones, for a business. One of the most crucial resources a business has is information, and it can be used and evaluated through a process known as data analysis.
  • Completely Online
  • Self-Paced
  • 6 Months to Complete
  • 24/7 Availability
  • Start Anytime
  • PC & Mac Compatible
  • Android & iOS Friendly
  • Accredited CEUs
Universal Class is an IACET Accredited Provider
 
 

Course Lessons

Lesson 1: An Introduction To Data Analysis For Business

There are a wide variety of tools and resources that businesses use as a part of their daily operations and functions. In many cases, this is necessary in order for them to keep pace with other businesses and the rest of the professional world in an ever-changing economy. 9 Total Points
  • Review 2 Articles: Business Analysis ? Introduction; What Is Data Analysis And How Can You Start Learning It Today?
  • Take Survey: Reasons for Taking this Course
  • Complete: Lesson 1 Exam

Lesson 2: Data Analysis Terminology

Data analysis can be a rather complex activity that may seem like it operates within a completely different world compared to other parts of the business world. Part of this is because the field itself is constantly evolving, even though the mathematics and sciences it uses remain the same. 10 Total Points
  • Review 2 Articles: Terminology in Data Analytics; 25 Big Data Terms Everyone Should Know
  • Complete: Lesson 2 Exam

Lesson 3: Usage Of Data Analysis In The Business World

Businesses often implement data analysis practices and integrate them into their normal operations. This can cause a business and its employees to not really think about data analysis and how it is being used in tandem with the rest of their work. 10 Total Points
  • Review 2 Articles: 5 Real-World Examples of How Brands are Using Big Data Analytics; Why Every Business Needs A Data And Analytics Strategy
  • Complete: Lesson 3 Exam

Lesson 4: Why You Should Use Data Analysis

This lesson will look at some of the reasons why a business should use, or at least consider the usage, of data analysis. Several different benefits and advantages that it can provide when the process is used successfully and correctly will be discussed, as will some additional positive effects that can be potentially generated as a result of those benefits. 10 Total Points
  • Review 2 Articles: Top 10 reasons why you should learn data analytics; Why Your Company Needs Data Analytics
  • Complete: Lesson 4 Exam

Lesson 5: A History Of Data Analysis

Understanding something involves learning as much as you can about it. This usually involves taking a closer look at not just the key aspects of it, but all of the aspects that have ever been a part of it and have influenced it into what it is now. 10 Total Points
  • Review 2 Articles: A Brief History of Data Analysis; Data Analytics Is No Longer A Nice Option -- It's The Core Of The Enterprise
  • Complete: Lesson 5 Exam

Lesson 6: The Usage Of Information In Data Analysis

This lesson will look at the information used in data analysis. Topics include the different types of data that businesses use and the associated methodology for each type. 10 Total Points
  • Review 2 Articles: How to Use Data Analytics to Drive Better Business Insights; Data Science vs. Data Analytics ? What?s the Difference?
  • Complete: Lesson 6 Exam

Lesson 7: The Information Life Cycle

Data and information is not immortal, although it technically never goes away. The lifespan that a single piece of data has is often tied to the value it has as something that is useable or meaningful, not the actual length of its existence. 10 Total Points
  • Review 2 Articles: Exploit the Product Life Cycle; Learn more about Data Maintenance
  • Complete: Lesson 7 Exam

Lesson 8: Issues With Data Analysis

This lesson will look at some of the more common issues that can arise in regards to data analysis. The potential sources and causes of these issues will be discussed, as well as the effects that they can have on a business' data analysis efforts if left unchecked. 10 Total Points
  • Review 3 Articles: 12 Challenges of Data Analytics and How to Fix Them; The Hawthorne effect and its impact on team productivity; What Is Confirmation Bias?
  • Complete: Lesson 8 Exam

Lesson 9: Rules of Data Collection

This lesson will look at the different rules in place for data analysis, specifically in regards to data collection. Some of those that will be discussed are set by the business world or by individual businesses-via standards of how things are/should be done-while others are set according to formal laws. 9 Total Points
  • Review 2 Articles: The Hard and Fast Rules of Data Collection; Data Collection Forms and Rules
  • Complete: Lesson 9 Exam

Lesson 10: Big Data

This lesson will look at Big Data, a concept in data analysis that has become increasingly common in the business world. An explanation of what Big Data is and its relationship to data analysis will be included in this lesson, as will the circumstances that cause it to occur in normal data analysis practices. 10 Total Points
  • Review 3 Articles: What is big data analytics?; Top 15 Big Data Tools in 2019; How companies are using big data and analytics
  • Complete: Lesson 10 Exam

Lesson 11: An Introduction To Structured Query Language (SQL)

This lesson will look at the programming language SQL, or structured query language, and how it is used in business for data analytics purposes. An explanation of SQL and the ways it is used in a business setting will be discussed, as will some of the basic commands and terminology associated with it. 10 Total Points
  • Review Article: The SQL Tutorial for Data Analysis
  • Complete: Lesson 11 Exam

Lesson 12: Advantages And Disadvantages Of SQL

This lesson will look at some of the advantages and disadvantages associated with the SQL programming language. The information listed in this lesson is based off of what most users of SQL have discovered, and applies to its proper and correct usage. 10 Total Points
  • Review Article: Advantages and Disadvantages of SQL
  • Complete: Lesson 12 Exam

Lesson 13: Options For Data Analysis Software And Tools

This lesson will look at some of the options available for software, programming, and other related tools needed for data analysis. This will include the different processes that software can do in the analysis process, what to consider in your search for digital tools, and some of the more popular options currently on the market for businesses. 10 Total Points
  • Review 3 Articles: To SQL or not to SQL; The 20 Best Data Analytics Software Tools for 2019; Comparing the leading big data analytics software options
  • Complete: Lesson 13 Exam

Lesson 14: Data Storage Options

This lesson will look at what data storage options are available and what parameters need to be addressed when choosing one for your data analysis purposes. Topics will include the parameters to consider in making your choice, an exploration of the Cloud and other popular storage options used by businesses today, and the need for a back-up. 10 Total Points
  • Review 2 Articles: Choosing the Best Data Storage Solution; Data Storage Options For Your Small Business
  • Complete: Lesson 14 Exam

Lesson 15: Business Intelligence vs. Data Analysis

This final lesson will look at the concept of business intelligence and what it can do for data analysis practices. What business intelligence is, how it differs from standard analytics, and the ways in which it can be used will be discussed. 68 Total Points
  • Take Poll: End of Course Poll
  • Take Survey: Course Comments
  • Complete: Lesson 15 Exam
  • Complete: The Final Exam
206
Total Course Points
 

Learning Outcomes

By successfully completing this course, students will be able to:
  • Describe what data analysis means for business.
  • Define data analysis terminology.
  • Describe why you should use data analysis.
  • Summarize a history of data analysis.
  • Describe the usage of information in data analysis.
  • Determine the information life cycle.
  • Summarize issues with data analysis.
  • Describe rules of data collection.
  • Define big data.
  • Describe options for data analysis software and tools.
  • Describe data storage options, and
  • Demonstrate mastery of lesson content at levels of 70% or higher.
 

Additional Course Information

Online CEU Certificate
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Document Your CEUs on Your Resume
 
Course Title: Data Analysis for Business
Course Number: 9770512
Languages: English - United States, Canada and other English speaking countries
Course Type: Professional Development (Self-Paced, Online Class)
CEU Value: 0.7 IACET CEUs (Continuing Education Units)
CE Accreditation: Universal Class, Inc. has been accredited as an Authorized Provider by the International Association for Continuing Education and Training (IACET).
Grading Policy: Earn a final grade of 70% or higher to receive an online/downloadable CEU Certification documenting CEUs earned.
Assessment Method: Lesson assignments and review exams
Syllabus: View Syllabus
Duration: Continuous: Enroll anytime!
Course Fee: $50.00

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