IT Business Analyst Roles in The Age of Data Science, Machine Learning, and Artificial Intelligence

What you will learn

The Business Analyst Role in Implementing AI-based Business Solutions

Requirements Elicitation and Analysis for Conversational User Experiences

Comparing Natural Language Understanding (NLU) Bots and Rule-based Bots

Overview of Conversation Flow Analysis and Design for the Business Analyst

Description

As the group most responsible for defining future digital solutions, those who practice business analysis need to stay abreast of how their organization can leverage evolving technologies for competitive advantage.

Currently the world of information technology (IT) is increasingly discovering the potential that “Big Data” represents. This course is a brief synopsis of what the emerging disciplines like Data Science, Data Analytics,ย  Business Analytics, and Artificial Intelligence offer organizations and how the role commonly called Business Analyst has to morph to stay relevant.

Why Should You Buy This Course?

  • Contribute to the evolution of current terminology in these evolving technologies

  • “Intellimated” video lectures use visual representations to simplify complex concepts and associations.

  • Quizzes give you an opportunity to test your understanding of the presented material, reinforce learning, and increase retention.

  • Help from the authors to clarify open questions and provide additional information.

  • Lifetime access to the course including future updates.

  • 30-day Moneyback guarantee backed by Udemy if you are not completely satisfied with the learning experience.

  • You will gain confidence in your ability to discuss emerging concepts with managers and peers.

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About the Instructor

  • Teaches 12 Udemy courses for Agile Business Analysis with over 60,000 students enrolled.

  • Champions lean and agile methods to meet communication challenges between business and IT communities.

  • Maintains an extensive YouTube Channel with over 100 videos for 17K+ subscribers and 1.6M+ views.

  • Authored 12 Business Analysis books covering tools and techniques for Agile and traditional software requirements.

  • Consultant to a multitude of Fortune 500 companies and governmental agencies.

  • Facilitated 100โ€™s of User Story and Requirements Gathering Workshops for multi-million-dollar projects.

  • 25+ yearsโ€™ experience with instructor-led training for tens of thousands of students around the world.

  • Coach and mentor for aspiring business analysts.

Intrigued but not convinced? Take a look at our FREE previews to make sure my instructor style and delivery work for you.

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About the Course


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To deliver working software that the business community needs and wants, the business and IT communities have to learn to speak a common language. The over-hyped use of buzzwords to describe business needs often leads to expensive miscommunication and misunderstandings. To combat that problem both sides really must know:

ย  ย  ย a) What is Big Data?

ย  ย  ย b) How do data analytics and business analytics affect the definition of business needs?

ย  ย  ย c) What business value do these technologies offer?

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So, What Are You Waiting For?

Enroll now to learn how to prepare for the changes these revolutionary technologies represent.

English
language

Content

Data Science and Artificial Intelligence for Digital Solutions

Welcome to the Course
How Do Big Data and Data Analytics Change IT Analysis
Machine Learning, Weak AI (ANI), and Strong AI (AGI)
The Business Analyst Role in Implementing AI-Based Business Solutions
Categories of Artificial Intelligence

The Impact of Artificial Intelligence on Three Levels of Business Analysis

Targeted IT Business Analysis: Analyze Features and User Stories
Tactical Business Analysis: Elicit and Prioritize User Requirements
Strategic Business Analysis: Prepare for Future Changes
Technology and Levels of Business Analysis

Ai-Driven (NLP) and Rule-Based Conversational User Interfaces (CUI)

CUI for Natural Language Understanding (NLU/AI) Chatbots
Chatbot User Interfaces for Rule-based or Directed Bots
Defending the need for both rule-based and NLU Chatbots

UX Analysis Techniques for Designing and Structuring Chatbots

Requirements Elicitation and Analysis for Conversational User Experiences
Conversation Flow Analysis and Design for The IT Business Analyst
Business Analysis activities for Directed Chatbots
Bonus Lecture: Thank you for your time!