Mô tả

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:

  1. What is business data analytics and how it differs from other data related disciplines, like data science or business analysis

  2. How to define research questions for your analytics initiative

  3. How to organise data collection process

  4. What to take into account when performing analysis

  5. How to interpret the results of analysis and communicate them to decision makers

  6. How to ensure real actions happen as the result of your analysis

  7. 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 managers of analytics teams, project managers who happen to have analytics components to the projects they manage, and business analysts who 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 Analytics and 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.

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Yêu cầu

Nội dung khoá học

9 sections

Introduction to business data analytics

11 lectures
Starting the course
04:08
Introduction to business data analytics
11:03
What is business data analytics
06:32
The business data analytics cycle
08:34
The business data analytics objectives
05:56
Business analysis vs business data analytics
04:28
Technique: Understanding probability
07:01
Technique: Probability tree
11:23
Case study: Context of analysis
08:09
Quiz: Introduction to business data analytics
10 questions
Course materials
00:01

Identify research questions

19 lectures
Scope of identifying research questions
01:26
Define business problem or opportunity
02:50
Technique: Business model canvas
24:37
Identify and understand the stakeholders
02:37
Technique: Stakeholder analysis
09:54
Current state analysis
01:59
Technique: Process modelling
08:34
Technique: Root cause analysis
01:50
Technique: Exploratory Data Analysis (EDA) - Part 1 - descriptive statistics
18:13
Technique: Exploratory Data Analysis (EDA) - Part 2 - correlation and regression
08:42
Technique: Exploratory Data Analysis (EDA) - Part 3 - business visualizations
28:14
Technique: Exploratory Data Analysis (EDA) - Part 4 - Case study
19:55
Case study: Anscombe's quartet
03:34
Define future state
02:55
Define research questions
01:12
Technique: Hypothesis testing
18:37
Plan business data analytics approach
01:39
Quiz: Identify research questions
10 questions
Course materials
00:01

Source data

14 lectures
Scope of sourcing data
02:41
Plan data collection
04:42
Case study: Plan data collection
03:47
Determine the data sets
01:43
Technique: Data modelling and normalisation
14:52
Technique: Data mapping
06:33
Technique: Data dictionary
04:36
Collect data
02:56
Technique: Extract - Transform - Load (ETL)
06:50
Article: Business analyst's role on data migration projects
04:06
Technique: Data flows
05:04
Validate data
05:16
Quiz: Source data
10 questions
Course materials
00:01

Analyze data

15 lectures
Scope of analyzing data
01:48
Develop data analysis plan
05:00
Technique: Regression analysis
03:31
Technique: Seasonality (time series) analysis
05:22
Technique: Classification algorithms
27:45
Prepare data
03:35
Explore data
02:55
Perform data analysis
08:29
Assess the approach taken
01:43
Technique: Business simulation
08:10
Technique: Optimisation
06:57
Case study: Simulation and optimisation
20:00
Article: Systems thinking and imitation modelling
09:58
Quiz: Analyze data
10 questions
Course materials
00:01

Interpret and report results

9 lectures
The scope of interpreting and reporting results
02:53
Validate understanding of stakeholders
02:18
Plan communications
03:34
Determine communication needs
02:07
Derive insights and communicate findings
09:27
Technique: Data storytelling
06:29
Case study: Data storytelling
07:10
Quiz: Interpret and report results
5 questions
Course materials
00:01

Influence business decision-making

7 lectures
The scope for influencing business decisions making
01:18
Recommend actions
05:35
Plan implementation
02:59
Manage change
05:51
Case study: Implementation and change management planning
13:36
Quiz: Influence business decision-making
5 questions
Course materials
00:01

Guide organizational-level strategy for business data analytics

6 lectures
Scope of guiding organizational strategy
01:38
Organizational strategy
05:40
Talent strategy
06:25
Data strategy
04:05
Quiz: Guide organizational-level strategy for business data analytics
5 questions
Course materials
00:01

Sample CBDA exam

1 lectures
CBDA sample test
50 questions

Final words

4 lectures
Wrap up
02:27
How to claim your development units with IIBA
01:42
Legal notes
01:17
bonus section
02:30

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