Business Data Analytics (IIBA®-CBDA Exam preparation)
Business Data Analytics (IIBA®-CBDA Exam preparation), available at $84.99, has an average rating of 4.57, with 78 lectures, 8 quizzes, based on 483 reviews, and has 3271 subscribers.
You will learn about What is business data analytics Defining research questions Collecting data Performing analysis Interpreting the results of analysis Influencing decision making Scaling analytics capability This course is ideal for individuals who are Business analysts working on data analytics initiatives or Project managers managing data projects or Line managers managing data teams or Anyone preparing for IIBA®-CBDA exam It is particularly useful for Business analysts working on data analytics initiatives or Project managers managing data projects or Line managers managing data teams or Anyone preparing for IIBA®-CBDA exam.
Enroll now: Business Data Analytics (IIBA®-CBDA Exam preparation)
Summary
Title: Business Data Analytics (IIBA®-CBDA Exam preparation)
Price: $84.99
Average Rating: 4.57
Number of Lectures: 78
Number of Quizzes: 8
Number of Published Lectures: 78
Number of Published Quizzes: 8
Number of Curriculum Items: 86
Number of Published Curriculum Objects: 86
Number of Practice Tests: 1
Number of Published Practice Tests: 1
Original Price: $199.99
Quality Status: approved
Status: Live
What You Will Learn
- What is business data analytics
- Defining research questions
- Collecting data
- Performing analysis
- Interpreting the results of analysis
- Influencing decision making
- Scaling analytics capability
Who Should Attend
- Business analysts working on data analytics initiatives
- Project managers managing data projects
- Line managers managing data teams
- Anyone preparing for IIBA®-CBDA exam
Target Audiences
- Business analysts working on data analytics initiatives
- Project managers managing data projects
- Line managers managing data teams
- Anyone preparing for IIBA®-CBDA exam
We live in an amazing world of data!
Organisations that know how to use it dramatically outperform the competition. But it’s not easy to make use of your data. You need to have the technical skills to collect it and analyse it, but you also need to have the organisational skills to know when to do it and how to interpret the results to drive better decisions. This is exactly what business data analytics is about and it is what we are going to study.
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This course is officially endorsed by the International Institute of Business Analysis™ (IIBA®) and qualifies for 14 professional development units for the purposes of certification.
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This course will explain how to prepare for a data analytics project, how to organise the analytics process, and what to consider to make sure the results of your analysis will drive noticeable business change.
We will cover the following topics:
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What is business data analytics and how it differs from other data related disciplines, like data science or business analysis
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How to define research questions for your analytics initiative
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How to organise data collection process
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What to take into account when performing analysis
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How to interpret the results of analysis and communicate them to decision makers
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How to ensure real actions happen as the result of your analysis
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What to consider when scaling analytics capability
We will also review a set of selected methods and techniques that are usually applicable to the tasks above.
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Business data analytics is mostly a management discipline and it discusses how to organise the analytics capability within the business to get valuable results.
It will be extremely valuable for line managersof analytics teams, project managers who happen to have analytics components to the projects they manage, and business analystswho happen to get involved into analytics initiatives.
You will also get an official IIBA Endorsed Education Provider certificate of completion in addition to the standard Udemy certificate.
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A certification in business data analytics (IIBA®-CBDA) is a unique certificate offered by the International Institute of Business Analysis for business data analytics professionals. It tests your knowledge of the Guide to Business Data Analytics published by IIBA and recognises your ability to effectively execute analysis related work in support of business analytics initiatives.
The exam consists of 75 multiple-choice, scenario-based questions to be completed within 2 hours. It is a challenging and rewarding exam.
This course is 100% aligned with the Guide to Business Data Analyticsand is your chance to get prepared for the exam.
At the end of the course, you will get a sample exam to test your knowledge and get better prepared.
Good luck!
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Note: I am an Endorsed Education Provider™ by IIBA®, which means the materials and references to IIBA® and its publications used in this course are licensed for me to do so. By enrolling in this course you support legal use of intellectual property and contribute to the development of business analysis profession.
All the trademarks belong to their rightful owners.
Course Curriculum
Chapter 1: Introduction to business data analytics
Lecture 1: Starting the course
Lecture 2: Introduction to business data analytics
Lecture 3: What is business data analytics
Lecture 4: The business data analytics cycle
Lecture 5: The business data analytics objectives
Lecture 6: Business analysis vs business data analytics
Lecture 7: Technique: Understanding probability
Lecture 8: Technique: Probability tree
Lecture 9: Case study: Context of analysis
Lecture 10: Course materials
Chapter 2: Identify research questions
Lecture 1: Scope of identifying research questions
Lecture 2: Define business problem or opportunity
Lecture 3: Technique: Business model canvas
Lecture 4: Identify and understand the stakeholders
Lecture 5: Technique: Stakeholder analysis
Lecture 6: Current state analysis
Lecture 7: Technique: Process modelling
Lecture 8: Technique: Root cause analysis
Lecture 9: Technique: Exploratory Data Analysis (EDA) – Part 1 – descriptive statistics
Lecture 10: Technique: Exploratory Data Analysis (EDA) – Part 2 – correlation and regression
Lecture 11: Technique: Exploratory Data Analysis (EDA) – Part 3 – business visualizations
Lecture 12: Technique: Exploratory Data Analysis (EDA) – Part 4 – Case study
Lecture 13: Case study: Anscombe's quartet
Lecture 14: Define future state
Lecture 15: Define research questions
Lecture 16: Technique: Hypothesis testing
Lecture 17: Plan business data analytics approach
Lecture 18: Course materials
Chapter 3: Source data
Lecture 1: Scope of sourcing data
Lecture 2: Plan data collection
Lecture 3: Case study: Plan data collection
Lecture 4: Determine the data sets
Lecture 5: Technique: Data modelling and normalisation
Lecture 6: Technique: Data mapping
Lecture 7: Technique: Data dictionary
Lecture 8: Collect data
Lecture 9: Technique: Extract – Transform – Load (ETL)
Lecture 10: Article: Business analyst's role on data migration projects
Lecture 11: Technique: Data flows
Lecture 12: Validate data
Lecture 13: Course materials
Chapter 4: Analyze data
Lecture 1: Scope of analyzing data
Lecture 2: Develop data analysis plan
Lecture 3: Technique: Regression analysis
Lecture 4: Technique: Seasonality (time series) analysis
Lecture 5: Technique: Classification algorithms
Lecture 6: Prepare data
Lecture 7: Explore data
Lecture 8: Perform data analysis
Lecture 9: Assess the approach taken
Lecture 10: Technique: Business simulation
Lecture 11: Technique: Optimisation
Lecture 12: Case study: Simulation and optimisation
Lecture 13: Article: Systems thinking and imitation modelling
Lecture 14: Course materials
Chapter 5: Interpret and report results
Lecture 1: The scope of interpreting and reporting results
Lecture 2: Validate understanding of stakeholders
Lecture 3: Plan communications
Lecture 4: Determine communication needs
Lecture 5: Derive insights and communicate findings
Lecture 6: Technique: Data storytelling
Lecture 7: Case study: Data storytelling
Lecture 8: Course materials
Chapter 6: Influence business decision-making
Lecture 1: The scope for influencing business decisions making
Lecture 2: Recommend actions
Lecture 3: Plan implementation
Lecture 4: Manage change
Lecture 5: Case study: Implementation and change management planning
Lecture 6: Course materials
Chapter 7: Guide organizational-level strategy for business data analytics
Lecture 1: Scope of guiding organizational strategy
Lecture 2: Organizational strategy
Lecture 3: Talent strategy
Lecture 4: Data strategy
Lecture 5: Course materials
Chapter 8: Sample CBDA exam
Chapter 9: Final words
Lecture 1: Wrap up
Lecture 2: How to claim your development units with IIBA
Lecture 3: Legal notes
Lecture 4: bonus section
Instructors
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Igor Arkhipov | Analyst's corner
Certified Business Analysis Professional (CBAP)
Rating Distribution
- 1 stars: 7 votes
- 2 stars: 14 votes
- 3 stars: 35 votes
- 4 stars: 156 votes
- 5 stars: 271 votes
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