Online Class: Data Analysis for Business

Name: Data Analysis for Business
Price: 95.00 USD

This course empowers you with the skills to decode complex data patterns, turning information into actionable insights that keep companies at the cutting edge of their industries. Elevate your career by becoming the linchpin in using data analysis as a strategic asset, driving unprecedented growth and agility in a rapidly evolving business world.

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$120.00 (with CEU Certificate)

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15

Lessons
17

Exams &
Assignments
572

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?

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.
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.
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.
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.

Courses Frequently Bought Together:

Business Research Methods

Basic Research Skills

Statistics 101

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:

"Extraordinarily Helpful"

(450 votes)

Lesson 1. Decoding Business Success Through Data

Utilizing data effectively is vital for businesses, as improper analysis can lead to misinformation and missed opportunities. This lesson explains the crucial role of data analysis, guiding learners through the process of defining goals, collecting and cleaning data, and interpreting insights for business impact. Additional lesson topics: Business Analysis – Introduction; What Is Data Analysis and How Can You Start Learning It Today? 10 Total Points

Lesson discussions: Reasons for Taking this Course
Complete Assignment: Course Introduction and Goals
Assessment: Lesson 1 Exam

Lesson 2. Understanding Data Analysis Through Its Evolving Lexicon

The linguistic evolution of data analytics reflects societal changes, with new terms often influencing business strategies and data use. Buzzwords, while popular, can obscure true meanings but also highlight emerging industry trends. Additional lesson topics: Terminology in Data Analytics; Several Big Data Terms Everyone Should Know 10 Total Points

Assessment: Lesson 2 Exam

Lesson 3. Data Analysis in Business

Data analysis has become an integral part of business operations, frequently occurring without conscious effort from employees, but its seamless integration can hinder new implementations or expansions. This lesson explores its widespread use across industries, touching on the motivations and specific applications in various fields. Additional lesson topics: 5 Real-World Examples of How Brands are Using Big Data Analytics; Why Every Business Needs A Data and Analytics Strategy 10 Total Points

Assessment: Lesson 3 Exam

Lesson 4. Empowering Decisions Through Data Analysis

Data analysis transforms abstract business value into quantifiable metrics, thus enabling organizations to align better with their existential goals. Its real benefit is seen when numbers guide actions that enhance a company’s societal and economic worth. Additional lesson topics: Several reasons why you should learn data analytics; Why Your Company Needs Data Analytics 10 Total Points

Assessment: Lesson 4 Exam

Lesson 5. A Historical Overview of Data Analysis

The narrative traces data analysis's ancient origins and its transformation through the centuries, spotlighting key technological advancements like the abacus and punch cards. The focus on history aims to equip learners with a robust comprehension, enabling more effective modern application. Additional lesson topics: A Brief History of Data Analysis; Data Analytics Is No Longer A Nice Option -- It's The Core Of The Enterprise 10 Total Points

Assessment: Lesson 5 Exam

Lesson 6. The Data Action Journey: From Capture to Insight

Effective data analysis requires comprehensive knowledge of data types and the methodologies employed for each, from social media analytics to economic data harnessing the power of the information-action value chain. Data capture methods, whether automated or manual, play a pivotal role in shaping analysis strategies for businesses. Additional lesson topics: How to Use Data Analytics to Drive Better Business Insights; Data Science vs. Data Analytics – What’s the Difference? 10 Total Points

Assessment: Lesson 6 Exam

Lesson 7. From Birth to Burial: Stages of the Information Life Cycle

Data's longevity is often dictated by its utility rather than its existence, necessitating efficient life cycle management from creation to destruction. Factors such as business handling and external events can alter this lifespan unpredictably. Additional lesson topics: Exploit the Product Life Cycle; Information life cycle management ILM ; Data Maintenance 10 Total Points

Assessment: Lesson 7 Exam

Lesson 8. Proactively Identifying and Addressing Data Problems

Misinterpretations such as confusing correlation with causation or experiencing the Hawthorne Effect can significantly impact data analysis outcomes. Businesses must be cautious and employ strategies to mitigate these effects to ensure sound analytic applications. Additional lesson topics: The Hawthorne effect and its impact on team productivity; Several Challenges of Data Analytics and How to Fix Them; What Is Confirmation Bias? 10 Total Points

Assessment: Lesson 8 Exam

Lesson 9. Navigating the Complex Terrain of Data Collection Rules

Rules ensure that data collection is conducted correctly, with some set by businesses and others by formal laws, influencing ethical considerations in data analysis. Compliance with these rules prevents serious consequences like legal action or damage to public and professional reputations. Additional lesson topics: The Hard and Fast Rules of Data Collection; Data Collection Forms and Rules 9 Total Points

Assessment: Lesson 9 Exam

Lesson 10. The Essentials of Big Data in Business

The multifaceted concept of Big Data encompasses vast information volumes, rapid processing needs, and sophisticated data accuracy measures, revolutionizing traditional business analytics frameworks. By leveraging these advanced insights, companies can better adapt to dynamic market shifts and enhance their strategic outreach. Additional lesson topics: Big data analytics; What is big data analytics?; How companies are using big data and analytics; Several Big Data Tools in 10 Total Points

Assessment: Lesson 10 Exam

Lesson 11. Exploring SQL and Other Programming Languages for Data Analysis

SQL, a broadly used programming language, provides tools for managing and extracting data from databases, making it vital for analysis in business environments. This lesson details SQL's command structure and compares it to alternative languages for database and analytical tasks. Additional lesson topics: Introduction to Structured Query Language SQL ; The SQL Tutorial for Data Analysis 10 Total Points

Assessment: Lesson 11 Exam

Lesson 12. Pros and Cons of SQL

SQL's universal application and support from major tech companies make it a reliable tool for database management, yet its complexity and cost can be deterrents. Businesses should weigh its benefits against potential downsides, especially in terms of scalability and user-friendliness. Additional lesson topics: Advantages and Disadvantages of SQL 10 Total Points

Assessment: Lesson 12 Exam

Lesson 13. Exploring Software Options for Data Analysis

As digital data prevails, software programs facilitate various data analysis processes from visualization to cleansing and analyzing. Businesses are advised to strategically choose analytics tools based on financial limits, feature requirements, and their compatibility with existing systems, occasionally leveraging free versions as a cost-saving measure. Additional lesson topics: The Several Best Data Analytics Software Tools for ; Comparing the leading big data analytics software options; to SQL or not to SQL 10 Total Points

Assessment: Lesson 13 Exam

Lesson 14. Choosing Your Ideal Data Storage

Businesses should carefully evaluate various storage options, such as local and Cloud-based systems, considering factors like storage capacity, cost, and data accessibility needs. Strategic foresight into predicted future data demands helps build resilient storage solutions that accommodate growth effectively. Additional lesson topics: Choosing the Best Data Storage Solution 10 Total Points

Assessment: Lesson 14 Exam

Lesson 15. The Evolving Landscape of Business Intelligence

Business intelligence serves as a strategic compass, intertwining technology and business foresight, compared to data analysis's role as an inquiry tool for unlocking historical and current data insights. Together, they empower businesses to optimize decision-making and enhance Return on Investment comprehension. 68 Total Points

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

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

Course Title: Data Analysis for Business

Course Number: 9770512

Lessons Rating: 4.82 / 5 Stars (450 votes)

Languages: English - United States, Canada and other English speaking countries

Availability: Enroll in this course from any U.S. state, including California, Texas, Florida, New York, Pennsylvania, Illinois, Ohio, and Georgia. The course is also accessible to learners in English-speaking countries such as the UK, Canada, Ireland, Australia, and South Africa.

Last Updated: February 2024

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.

Course Type: Self-Paced, Online Classes

Assessment Method: Lesson assignments and review exams

Instructor: Dr. Metodija Stojanovski

Syllabus: View Syllabus

Course Fee: $120.00 U.S. dollars