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Learn MoreBusiness Analytics
Rating: 4.0 out of 54.0(198 ratings)
963 students
Business Analytics
An introductory course in understanding the definition, application and techniques involved in Business Analytics.
Created byThe Art Of Service
Last updated 3/2023
English
What you'll learn
- Be introduced to analytics in general, its different types and benefits.
- Be aware of the levels and challenges of analytics.
- Be introduced to the business analyst.
- Be introduced to the definition, history and benefits of business analytics.
- Know the techniques, software applications, challenges and future of BA.
Course content
9 sections • 59 lectures • 2h 37m total length
- Introduction and Objectives0:25
In this lecture, we'll discuss some objectives aimed at showing what you can expect to learn from this course.
.
Section Outline
Lecture 2: Analytics vs Analysis
Lecture 3: Types of Analytics
Lecture 4: Descriptive Analytics
Lecture 5: Predictive Analytics
Lecture 6: Prescriptive Analytics
Lecture 7: Differences of Analytics
Lecture 8: Benefits of Analytics - Definition of Analytics2:06
This lecture will identify the differences between analytics and analysis.
.
Lecture outline:
0:00 Analytics Defined
1:23 Analytics and Analysis
- Types of Analytics0:28
This lecture will talk about the different types of analytics.
- Descriptive Analytics1:36
This discussion will focus on one of the types of analytics, namely descriptive analytics.
- Predictive Analytics1:32
This discussion will focus on one of the types of analytics, namely predictive analytics.
- Prescriptive Analytics1:59
This discussion will focus on one of the types of analytics, namely prescriptive analytics.
- Differences of Analytics2:49
This discussion will identify the differences between the three types of analytics.
- Benefits of Analytics4:30
This lecture will identify the different benefits of analytics.
- Introduction and Objectives0:29
In this lecture, we'll discuss some objectives aimed at showing what you can expect to learn from this course.
.
Section Outline
Lecture 11: Levels of Analytics
Lecture 12: Introduction to the Business Analyst
Lecture 13: Business Analyst
Lecture 14: Business Process Analyst
Lecture 15: IT Business Analyst
Lecture 16: Systems Analyst
Lecture 17: Data AnalystLecture 18: Usability Analyst
Lecture 19: Business Systems Analyst
Lecture 20: Requirements Analyst
Lecture 21: Roles of the Different Analysts
Lecture 22: What Does a Business Analyst Do?
Lecture 23: Challenges - Levels of Analytics6:58
This lecture will identify the different levels of analytics.
.
Lecture outline:
0:00 Introduction to the Levels of Analytics
0:18 Level 1: Standard Reports
0:57 Level 2: Ad hoc Reports
1:48 Level 3: Query Drilldown
2:31 Level 4: Alerts
3:23 Level 5: Statistical Analysis
4:11 Level 6: Forecasting
4:51 Level 7: Predictive Modeling
5:38 Level 8: Optimization
6:14 Best Analytics for your Business Problem
- Introduction to the Business Analyst3:53
This lecture will provide an overview of the business analyst.
.
Lecture outline:
0:00 Introduction to Business Analyst
0:54 What is a Business Analyst?
- Business Analyst2:13
This discussion will focus on the business analyst.
.
Lecture outline:
0:00 The Business Analyst
1:55 Function of the Business Analyst
- Business Process Analyst1:26
This discussion will focus on one of the types of business analysts, namely the business process analyst.
.
Lecture outline:
0:00 The Business Process Analyst
1:08 Function of the Business Process Analyst
- IT Business Analyst1:30
This discussion will focus on one of the types of business analysts, namely the IT business analyst.
.
Lecture outline:
0:00 The IT Business Analyst
1:14 Function of the IT Business Analyst
- Systems Analyst1:10
This discussion will focus on one of the types of business analysts, namely the systems analyst.
.
Lecture outline:
0:00 The Systems Analyst
0:11 Function of the Systems Analyst
- Data Analyst1:23
This discussion will focus on one of the types of business analysts, namely the data analyst.
.
Lecture outline:
0:00 The Data Analyst
0:15 Role of the Data Analyst
1:09 Function of the Data Analyst
- Usability/UX Analyst1:21
This discussion will focus on one of the types of business analysts, namely the usability analyst.
.
Lecture outline:
0:00 The Usability Analyst
1:05 Function of the Usability Analyst
- Business Systems Analyst0:47
This discussion will focus on one of the types of business analysts, namely the business systems analyst.
- Requirements Analyst1:01
This discussion will focus on one of the types of business analysts, namely the requirements analyst.
.
Lecture outline:
0:00 ISO/IEC
0:21 NIST
1:14 FAIR
1:25 The Committee
- Roles of the Different Analysts0:54
This lecture will talk about the roles of the different analysts.
- What Does a Business Analyst Do?3:53
This discussion will focus on what a business analyst does.
.
Lecture outline:
0:00 What Does a Business Analyst Do?
0:45 Main tasks of the Business Analyst
- Challenges3:45
This lecture will identify the different challenges of a business analyst.
- Introduction and Objectives0:29
In this lecture, we'll discuss some objectives aimed at showing what you can expect to learn from this course.
.
Section Outline
Lecture 26: Definition of Business Analytics
Lecture 27: History of Business Analytics
Lecture 28: Business Analytics vs Business Intelligence
Lecture 29: Benefits of Business Analytics
Lecture 30: Essential Actions - Definition of Business Analytics7:13
This lecture will explain the definition of business analytics.
- History of Business Analytics1:12
This lecture will talk about the history of business analytics.
- Business Analytics vs Business Inteligence1:47
This lecture will identify the differences between business analytics and business intelligence.
- Benefits of Business Analytics0:40
This discussion will focus on the different benefits of business analytics.
- Essential Actions5:52
This lecture will discuss some essential actions in business analytics.
.
Lecture outline:
0:00 Introduction
1:10 Essential Actions to Prepare for Business Analytics
1:19 Improving the Flow An Flexibility of Data
1:52 Getting the Right Technology in Place
2:50 Developing the Talent you Need
3:11 Developing Fact-Based Decisions
3:59 Keeping the Process Transparent
4:28 Developing a Center of Excellence
5:06 Transforming the Culture
5:27 Revising Strategies
- Introduction and Objectives0:23
In this lecture, we'll discuss some objectives aimed at showing what you can expect to learn from this course.
.
Section Outline
Lecture 33: Introduction to Analytics Applications
Lecture 34: Strategic Analytics
Lecture 35: Managerial Analytics
Lecture 36: Operational Analytics
Lecture 37: Customer-Enabling Analytics - Introduction to Analytics Applications0:59
This lecture will explain the different types of applications used in analytics.
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Lecture outline:
0:00 Introduction to the Analytics Application
0:39 The Four Generic Analytic Applications
- Strategic Analytics4:29
This discussion will focus on one of the different types of analytics applications, namely strategic analytics.
- Managerial Analytics4:42
This discussion will focus on one of the different types of analytics applications, namely managerial analytics.
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Lecture outline:
0:00 Introduction to Managerial Analytics
0:42 Categories of Managerial Questions and Issues
1:03 Measuring Results
2:57 Optimizing Performance
4:04 Plan and Develop New Entities
- Operational Analytics6:28
This discussion will focus on one of the different types of analytics applications, namely operational analytics.
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Lecture outline:
0:00 Definition of Operational Analytics
3:35 Categories to Improve Business Process
- Customer-Enabling Analytics4:49
This discussion will focus on one of the different types of analytics applications, namely customer-enabled analytics.
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Lecture outline:
0:00 Definition of Customer-Enabled Analytics
0:38 Categories of Customer-Enabled Analytics
0:59 Analytic Services
1:53 Prediction Services
3:03 Analytic Applications
4:09 Product-Enbedded Analytics
- Introduction and Objectives0:24
In this lecture, we'll discuss some objectives aimed at showing what you can expect to learn from this course.
.
Section Outline
Lecture 40: Introduction to Analytic Techniques
Lecture 41: PESTLE
Lecture 42: CATWOE
Lecture 43: SWOT
Lecture 44: Five WHYs
Lecture 45: Selecting the Right Analytics - Introduction to Analytic Techniques1:11
This lecture will talk about the different analytic techniques.
- PESTLE7:53
This discussion will focus on one of the analytic techniques, namely PESTLE.
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Lecture outline:
0:00 Introduction to PESTLE
1:12 Political
2:32 Economic
3:30 Sociological
4:26 Technological
5:41 Legal
7:16 Environmental
- CATWOE4:48
This discussion will focus on one of the analytic techniques, namely CATWOE.
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Lecture outline:
0:00 Introduction to CATWOE
1:02 Customers
1:39 Actors
1:57 Transformation
2:28 World View
3:34 Owner
4:02 Environmental Constraints
- SWOT2:09
This discussion will focus on one of the analytic techniques, namely SWOT.
- Five WHYs2:42
This discussion will focus on one of the analytic techniques, namely THE Five WHYs.
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Lecture outline:
0:00 The Five Whys
1:08 Study Problem for the Five Whys
- Selecting the Right Analytics1:52
This lecture will explain how to select the right analytic technique.
- Introduction and Objectives0:22
In this lecture, we'll discuss some objectives aimed at showing what you can expect to learn from this course.
.
Section Outline
Lecture 48: Introduction to Business Analytics Software
Lecture 49: Oracle
Lecture 50: SAP
Lecture 51: IBM
Lecture 52: Microsoft
Lecture 53: SAS
Lecture 54: Teradata - Introduction to Business Analytics Software4:35
This lecture will discuss the software applications included in business analytics.
- Oracle1:05
This discussion will center on one of the software applications used in business analytics, namely Oracle.
- SAP3:30
This discussion will center on one of the software applications used in business analytics, namely SAP.
- IBM10:56
This discussion will center on one of the software applications used in business analytics, namely IBM.
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Lecture outline:
0:00 Introduction to IBM's Business Analytics
1:15 Business Intelligence
3:18 Performance Management
6:34 Predictive Analytics
7:46 Analytical Decision Management
8:48 Risk Management
- Microsoft1:59
This discussion will center on one of the software applications used in business analytics, namely Microsoft.
- SAS2:09
This discussion will center on one of the software applications used in business analytics, namely SAS.
- Teradata1:12
This discussion will center on one of the software applications used in business analytics, namely Teradata.
- Introduction and Objectives0:26
In this lecture, we'll discuss some objectives aimed at showing what you can expect to learn from this course.
.
Section Outline
Lecture 57: Optimizing Business Analytics
Lecture 58: Challenges in Business Analytics
Lecture 59: Data Issues
Lecture 60: Expertise Issues
Lecture 61: Cultural Issues
Lecture 62: Future of Business Analytics - Optimizing Business Analytics7:06
This lecture will explain how to optimize business analytics.
.
Lecture outline:
0:00 Introduction on Optimizing Your Business Analytics
0:31 One: Collaborate to Identify
1:21 Two: Avoiding Temptation
2:08 Three: Plan for the Impact
3:01 Four: Having In-House Talent
3:55 Five: Revising Company Operations
4:43 Six: Take Advantage
5:08 Seven: Leverage Spreadsheets
5:30 Eight: Design Analytics
6:01 Nine: Eliminate Junk Data
6:33 Ten: Don't Let Analytics Do all the Thinking For You
- Challenges in Business Analytics1:03
This lecture will discuss some challenges in business analytics.
- Data Issues2:39
This discussion will focus on the challenges in business analytics, specifically data issues.
- Expertise Issues2:20
This discussion will focus on the challenges in business analytics, specifically expertise issues.
- Cultural Issues2:27
This discussion will focus on the challenges in business analytics, specifically cultural issues.
- Future of Business Analytics7:43
This lecture will discuss what the future holds for business analytics.
- Business Analytics Glossary of Terms4:00
This e book contains the entire Business Analytics course in a PDF format.
- Final Exam1:00
Now that you've finished your Udemy course, - you are eligible to sit your official Certification exam.
Certification is not mandatory.
Once you've completed the course, email our exam department at support@theartofservice.com to purchase your exam voucher and sit your final exam.Exam access includes more information to better prepare for the exam including a workbook, sample exam plus the final exam.
Please include the course name in your email for us to send the correct information.
Any questions please contact support@theartofservice.com
You will receive a PDF certificate through your email upon passing the examination. - Conclusion - Final Lecture1:27
A final message from our CEO.
Requirements
- Basic understanding of the IT industry
- Knowledge of the English language
Description
Business analytics (BA) refers to the skills, technologies, applications and practices for continuous iterative exploration and investigation of past business performance to gain insight and drive business planning. Business analytics focuses on developing new insights and understanding of business performance based on data and statistical methods. In contrast, business intelligence traditionally focuses on using a consistent set of metrics to both measure past performance and guide business planning, which is also based on data and statistical methods.
This course includes the different types of analytics, BA techniques, software and applications, differences between analytics and analysis and business analytics and business intelligence, challenges and the future of BA.
Who this course is for:
- Recent graduates looking to get a foothold in the IT Industry.
- Analysts looking to improve their understanding of the business analyst role.
- Organizations wanting to make better and more informed business decisions, as well as looking for ways to explore business data and implement statistical analysis.
- Managers looking to optimize business processes.