Know AI, Big Data Analysis &Business Intelligence -CMA align

Name: Know AI, Big Data Analysis &Business Intelligence -CMA align
Rating: 3.8 (6 reviews)

A Professional Development course. Also, CMA LO's deep dive- Part 1- Section F -Technology and Analytics (15% of exam)

Created byDr. John Daniel Mclellan

Last updated 1/2026

English

What you'll learn

You will gain a solid foundation in AI, data analysis, and BI, including key concepts, terminology, and methodologies
Learn how management analyze, and draw insights from large and complex data sets, understanding the challenges and opportunities they present.
Examine how top-tier companies utilize AI, data analysis, and BI to solve complex problems, improve decision-making, and enhance competitiveness.
Understand how Artificial Intelligence tools are applied by real-world businesses.

Course content

8 sections • 33 lectures • 2h 26m total length

Introduction to this course0:40
Creating Your Professional Development Portfolio2:19
Build a dynamic professional development portfolio that showcases your skills, learning journey, and growth, powered by online courses from Udemy; claim your certificate and syllabus to prove you’re always learning.
Overview of course contents1:22
Explore artificial intelligence, big data analytics, and business intelligence through a historical overview, data types, analytics tools, and data-driven decision making for marketing strategy.

What is AI? Definitions and Scope3:45
Define artificial intelligence, outline technical, functional, and evolutionary perspectives, and explore AI scope through machine learning, natural language processing, robotics, computer vision, expert systems, and neural networks.
Brief History Of AI6:03
The history of AI is a testament to human ingenuity and determination, characterized by cycles of rapid advancement and periods of stagnation. As AI continues to evolve, it promises to profoundly reshape the world in the coming decades.
The three levels of AI5:25
Narrow AI is a reality today and forms the backbone of many modern technologies, General AI and Superintelligent AI are largely theoretical and represent future possibilities in the field of AI. The progression from Narrow AI to Superintelligent AI represents an enormous leap in capability and complexity, posing both exciting opportunities and significant challenges.
Case Study on how Amazon uses Artificial Intelligence6:15
Introduction to Test Your Understanding0:17
Test your understanding of types of AI
Ai in a Retail Business

Introduction to Data Analytics3:40
Defining Big data and the four V's6:16
TYU0:17
Test your Understanding of Data Analysis
Importance in the modern business environment4:18
Key terms and concepts6:44
Understand core terms in data analytics and business intelligence, including big data, four V's, data mining, SQL, data governance, and the analytics spectrum from descriptive to prescriptive.
How Google uses Big data5:55
Google leverages AI, data analytics, and business intelligence to enhance products and empower other businesses. Tools like TensorFlow, BigQuery, Data Studio, and Looker drive predictive analytics and insights.
Matching Terms with Definitions and Examples

Definition and Components of BI5:12
BI tools and applications in business5:22
Learn how BI tools turn data into dashboards and actionable insights. Explore Tableau, Power BI, Qlik Sense, SAP Business Objects, Oracle BI, and IBM Cognos Analytics for data-driven decision making.
Hands-on BI tool demonstrations4:28
Explore a hands-on Tableau demonstration that analyzes retail sales data, builds bar and line charts, creates interactive dashboards with filters, and uncovers insights like top categories and regional trends.
Test Your Understanding
True or False question on BI Tools
Know how TicTok uses Business Intelligence5:37
Explore how TikTok combines ai, data analytics, and bi tools to personalize recommendations, moderate content, analyze engagement and trends, and drive strategic growth.
Matching Terms

Introduction to Big data Analytics7:00
Explore the four v's of big data—volume, velocity, variety, veracity—and how structured, semi-structured, and unstructured data drive opportunities and challenges for real-time analytics.
Know the Different Types of Data7:00
How Facebook uses AI and Data analysis and Business Intelligence tools5:32
Structured vs Unstructured5:08
Explore structured, semi-structured, and unstructured data in business enterprises and learn how each type enables financial analysis, customer relationship management, inventory optimization, and sentiment and market insights.
Opportunities and Challenges of Leveraging Big data5:09
Leverage big data to enable data-driven decisions, uncover customer behavior, market trends, and operational efficiency, while addressing data quality, privacy and security, scalability, and ethics.
Case study on Using Big data analytics4:33
Match These terms

Basics of Machine Learning5:32
Explore the basics of machine learning, including supervised, unsupervised, and reinforcement learning, and see how data sets, models, and training enable search engines, email filters, product recommendations, and speech recognition.
Neural Networks and Deep Learning4:31
Explore neural networks, the building blocks of machine learning, with neurons and layers. Understand deep learning, its multi-layer architectures, backpropagation, and applications in image, speech, and language tasks.
Data, Information, Knowledge, Wisdom and analysis- D.I.K.w Pyramid4:27
Explore the data–information–knowledge–wisdom–action pyramid, showing how raw data becomes information, knowledge, and wisdom to guide decision making and strategic actions in business intelligence.
Matching Terms

Introduction to Business cases0:10
Paypal5:38
PayPal uses artificial intelligence, data analytics, and business intelligence to boost security, improve customer experience, and drive strategic decision making through real-time fraud detection, risk assessment, chatbots, and transaction analytics.
Ikea5:37
Ikea integrates artificial intelligence, AR visualization, chatbots, and robotics to enhance shopping, automate warehousing, and optimize supply chain, while leveraging data analytics and BI for market insights and sustainability.
General Electric6:16
General Electric leverages an industrial IoT AI platform, digital twins, computer vision, data analytics, and real-time BI to optimize operations, enhance product design, and guide strategic decisions.
Walmart5:26
Explain how Walmart integrates artificial intelligence, data analytics, and business intelligence to optimize supply chain management, forecast demand, manage inventory, and enhance customer experience across stores and online.

Requirements

None

Description

This online course offers an in-depth exploration of how leading global companies leverage Artificial Intelligence (AI), Data Analysis, and Business Intelligence (BI) to gain a competitive edge and drive growth. In today's data-driven world, organizations across various industries rely on these technologies to make informed decisions, optimize operations, and enhance customer experiences.

Throughout the course, you will delve into real-world case studies and examine the strategies adopted by industry giants such as Google, Amazon, Facebook, Apple, and Microsoft, among others. By analyzing their successful implementations of AI, data analysis, and BI, you will gain valuable insights into how these technologies can transform businesses.

Starting with the foundational concepts, we'll unravel AI's beginnings and the visions that propelled it. You'll learn about the pivotal figures and milestone achievements that have shaped AI. The course then delves into the mechanics of Machine Learning, providing insight into algorithms that power today's AI.

As we progress, you'll discover AI's multifaceted applications, from everyday conveniences to complex business solutions, and understand its profound impact on society. We tackle the pressing ethical considerations, discussing AI bias, privacy issues, and the moral responsibilities of AI development.

Looking ahead, the course will guide you through emerging trends and theoretical predictions about AI’s role in future technologies and societal structures. Optional hands-on projects offer practical experience, grounding theoretical knowledge in real-world AI applications.

This course is designed for anyone curious about AI, regardless of their academic or professional background. Whether you're a student, professional, or enthusiast, this course will enhance your understanding of AI and its implications. Thank You

Who this course is for:

This course is designed for professionals, students, and anyone interested in understanding how AI, data analysis, and BI are transforming the business landscape.

Know AI, Big Data Analysis &Business Intelligence -CMA align

What you'll learn

Explore related topics

Course content

Introduction3 lectures • 4min

Introduction to Artificial Intelligence5 lectures • 22min

Module 2 Introduction to Big Data Analysis and Business Intelligence6 lectures • 27min

Module 3 - Understanding Business Intelligence4 lectures • 21min

Module 4 Big data Analytics6 lectures • 34min

Module 4. Understanding Machine Learning3 lectures • 15min

How Big name Companies use AI in their Operations5 lectures • 23min

Conclusion, Completion Certificate and course syllabus1 lecture • 1min

Requirements

Description

Who this course is for: