Online Class: Data Analysis for Business

This data analysis course provides a great primer for understanding and analyzing business data. There are a wide variety of tools and resources that businesses use as part of their daily data collecting and analysis operations and functions and this class covers it all.

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  • 15
    Lessons
  • 17
    Exams &
    Assignments
  • 560
    Students
    have taken this course
  • 7
    Hours
    average time
  • 0.7
    CEUs
 
 
 

Course Description

Mastering Business Data Analysis: Unlock the Power of Insight

Step into the electrifying realm of data analysis with this immersive course designed to elevate your understanding of business data. In today's dynamic business landscape, staying ahead is no longer a luxury – it's a necessity. Amidst this race, a company's true north lies in its data.

Why is this course a game-changer?

  1. Tools Galore: Dive deep into a treasure trove of cutting-edge tools that leading businesses deploy, ensuring that you're not just in the game, but always a step ahead.
  2. Navigating the Business Ecosystem: Understand the fast-paced nuances of the business world. With every tick of the clock, strategies evolve, and only the most agile survive.
  3. The Heartbeat of Business - Information: In the vast ocean of resources a business possesses, information stands out as its compass. Learn how to tap into this invaluable asset and harness its potential.
  4. The Art & Science of Data Analysis: Decode the intricate dance of numbers and patterns. Discover the power of data analysis, the beacon that guides businesses away from potential pitfalls and towards monumental successes.

Embarking on this journey is not just about enhancing your skillset; it's about being the change-maker businesses desperately seek. Equip yourself with the prowess of data analysis and be the linchpin that propels organizations to new heights. Dare to dive deep, and the insights you unlock could redefine the future of business.

  • 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

Average Lesson Rating:
4.83 / 5 Stars (Average Rating)
"Extraordinarily Helpful"
(444 votes)

Lesson 1: Harnessing Data Analysis for Business Success: A Comprehensive Guide

10 Points
This lesson introduces data analysis as a vital tool for businesses to remain competitive and efficient, detailing the steps and roles involved in the process. It covers the purpose of data analysis and outlines how various types of data can inform decision-making in different industries. Additional lesson topics: Business Analysis – Introduction; What Is Data Analysis and How Can You Start Learning It Today?
  • Review Practice Worksheet: 9770512aa56409zz.png
  • Lesson discussions: Reasons for Taking this Course
  • Complete Assignment: Course Introduction and Goals
  • Assessment: Lesson 1 Exam

Lesson 2: Decoding Analytics: Understanding Terms and Trends

10 Points
Understanding data analytics terminology is crucial for both analysts and non-analysts to ensure clear communication and effective interpretation of data. Miscommunication can hinder business decisions, so gaining vocabulary in this 'different language' is essential. Additional lesson topics: Terminology in Data Analytics; Several Big Data Terms Everyone Should Know
  • Assessment: Lesson 2 Exam

Lesson 3: Unlocking the Power of Data Analytics in the Corporate Sphere

10 Points
Employee performance and satisfaction are enhanced through data analysis, often using performance statistics and satisfaction metrics. These insights help assess turnover and absenteeism, linking them to overall productivity and business performance. Additional lesson topics: 5 Real-World Examples of How Brands are Using Big Data Analytics; Why Every Business Needs A Data and Analytics Strategy
  • Assessment: Lesson 3 Exam

Lesson 4: Quantitative Insights: The Essence of Data Analytics in Business

10 Points
Implementing data analysis aids crucial business decisions by providing accurate, up-to-date information, reducing potential risks associated with poor judgment. Companies using data-driven decision-making experience significant improvements in profitability and productivity compared to their competitors. Additional lesson topics: Several reasons why you should learn data analytics; Why Your Company Needs Data Analytics
  • Assessment: Lesson 4 Exam

Lesson 5: Data Analysis: From Paleolithic Notches to Predictive Futures

10 Points
Data analysis has undergone profound changes, beginning with primitive quantitative recordings and culminating in the dynamic, multi-stream analytics employed by current businesses. As new technologies emerge and reshape data analysis practices, predicting its future applications remains a key focus within the field. Additional lesson topics: A Brief History of Data Analysis; Data Analytics Is No Longer A Nice Option -- It's The Core Of The Enterprise
  • Assessment: Lesson 5 Exam

Lesson 6: Exploring Information in Data Analysis

10 Points
Data analysis thrives on capturing diverse types of information, requiring businesses to understand how to manage different kinds of data efficiently. From social media insights to demographic data, this lesson explores the significance and methodology behind using various data types in business analytics. Additional lesson topics: How to Use Data Analytics to Drive Better Business Insights; Data Science vs. Data Analytics – What’s the Difference?
  • Assessment: Lesson 6 Exam

Lesson 7: Data's Life Cycle Explained

10 Points
The life cycle begins with data creation, sourced internally or externally, and often needing refinement before use. Collecting a broad range of data initially may be beneficial, allowing for thorough analysis and selection of relevant information. Additional lesson topics: Information life cycle management ILM ; Data Maintenance; Exploit the Product Life Cycle
  • Assessment: Lesson 7 Exam

Lesson 8: Preparing for Data Analysis Roadblocks

10 Points
Data analysis issues, such as the Hawthorne Effect and causation-correlation confusion, can skew results and hinder decision-making. This lesson discusses recognizing, preventing, and mitigating these challenges to maintain the credibility of analytical processes. Additional lesson topics: The Hawthorne effect and its impact on team productivity; What Is Confirmation Bias?; Several Challenges of Data Analytics and How to Fix Them
  • Assessment: Lesson 8 Exam

Lesson 9: The Imperative of Data Rule Compliance

9 Points
There's a possibility of rule bending in data practices to accommodate unforeseen circumstances, though this requires careful risk assessment and adherence to ethical boundaries. Such flexibility, while not typical, is critical in scientific and medical domains where adapting to new data insights can prevent undesirable outcomes. Additional lesson topics: The Hard and Fast Rules of Data Collection; Data Collection Forms and Rules
  • Assessment: Lesson 9 Exam

Lesson 10: Unraveling Big Data

10 Points
The concept of Big Data involves vast sets of complex information necessitating advanced computational tools and tailored frameworks for effective analysis and organization. Businesses utilizing Big Data gain significant competitive advantages, enhancing decision-making and customer engagement. Additional lesson topics: How companies are using big data and analytics; What is big data analytics?; Big data analytics; Several Big Data Tools in
  • Assessment: Lesson 10 Exam

Lesson 11: SQL in Business: An Essential Tool for Data Analysis

10 Points
SQL is a programming language essential for database management and data analysis, making it crucial for modern business operations. By empowering users to query, retrieve, and manipulate data efficiently, SQL enhances analytical capabilities while remaining user-friendly. Additional lesson topics: Introduction to Structured Query Language SQL ; The SQL Tutorial for Data Analysis
  • Assessment: Lesson 11 Exam

Lesson 12: SQL's Place in the Modern Business Data World

10 Points
SQL remains a dominant player in database management because of its flexibility and compatibility, allowing seamless integration with other technologies. As businesses evolve, comprehension of SQL's benefits and drawbacks is essential, especially when navigating costs or interface difficulties. Additional lesson topics: Advantages and Disadvantages of SQL
  • Assessment: Lesson 12 Exam

Lesson 13: Unlocking the Potential: Digital Tools for Data Analysts

10 Points
Modern businesses rely on digital tools for data analysis, selecting from programs that tackle each analysis phase such as data cleaning and analytics. This lesson underscores the importance of evaluating software based on cost, training, and support needs, shedding light on when free versions may suffice. Additional lesson topics: The Several Best Data Analytics Software Tools for ; to SQL or not to SQL; Comparing the leading big data analytics software options
  • Assessment: Lesson 13 Exam

Lesson 14: Choosing Your Data Storage

10 Points
Data storage decisions should align with business needs and anticipated future requirements to avoid costly upgrades and ensure compliance with legal standards regarding privacy and security. With options like Cloud, SAN, and DAS, businesses must weigh factors like budget, accessibility, and the necessity of backup systems to protect and retrieve data efficiently. Additional lesson topics: Choosing the Best Data Storage Solution
  • Assessment: Lesson 14 Exam

Lesson 15: Harnessing the Power of Business Intelligence for Strategic Advantage

68 Points
The differentiation between business intelligence and data analysis lies in their complementary methodologies and functionalities within businesses, utilizing varied technological degrees. BI primarily aids in decision-making processes, while data analysis focuses on identifying past trends and current conditions.
  • Lesson discussions: End of Course Poll; Course Comments; Program Evaluation Follow-up Survey (End of Course); Reasons for Taking this Course
  • Assessment: Lesson 15 Exam
  • Assessment: The Final Exam
207
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.
  • Demonstrate mastery of lesson content at levels of 70% or higher.
 

Additional Course Information

Online CEU Certificate
  • Document Your Lifelong Learning Achievements
  • Earn an Official Certificate Documenting Course Hours and CEUs
  • Verify Your Certificate with a Unique Serial Number Online
  • View and Share Your Certificate Online or Download/Print as PDF
  • Display Your Certificate on Your Resume and Promote Your Achievements Using Social Media
Document Your CEUs on Your Resume
 
Course Title: Data Analysis for Business
Course Number: 9770512
Lessons Rating: 4.83 / 5 Stars (444 votes)
Languages: English - United States, Canada and other English speaking countries
Availability: You can take this course online in every U.S. state including California, Texas, Florida, New York, Pennsylvania, Illinois, Ohio, and Georgia. International availability includes English-speaking countries like Canada, Australia, the UK, and South Africa.
Last Updated: February 2024
Course Type: 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
Course Fee: $120.00 U.S. dollars

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