Business Data Analytics

This course is designed for both beginners and experienced professionals who are inexperienced or have recently stepped into the field of analytics. This course is beneficial for: IT developers and testers, Data analysts, Junior data scientists, Analytics professionals, BI and reporting professionals, Project managers, Students and Professionals working with data in any industry.

• You will learn the concepts and best practices for Business Analytics.
• You will do hands-on, in-class exercises and homework assignments.
• The tool of choice for class will be Tableau.
• You will do a minimum of 1 presentation on your Business Analytics research work.
• Students will be graded on their attendance, assignments, and participation.
• The class will draw from the IIBA standards for Business Analysis and Business Data Analytics
• Students will be prepared to successfully take the certification exam for CBDA through IIBA, and have the skills to work as Business Data Analytics professionals.

• Introduction to Data Analytics for Business and Strategy development
• Process Framework:
  1. Gather requirements and understand the target; define the objective
  2. Identify and know the data
  3. Pull the data and perform analysis, discovery and insights; tying your results to strategy and the objective
  4. Build your dashboard
  5. Present and communicate your findings
• HOMEWORK: Begin your project, create 2 subjects with description and rationale to be approved
• Gathering the requirements to understand and define the objective
  1. Strategy, mission, objectives
  2. Lifecycles and current state
  3. Understanding the stakeholders
  4. Benchmarking and the competition
  5. Overview of data and data architecture
  6. Approach Plan
  7. HOMEWORK: find the data for your dashboard assignment.
• Identifying and knowing the data
  1. Identifying and sourcing the data
  2. Identifying and sourcing the data
  3. Internal company data and external sources
  4. Parsing the data for the analysis
  5. Data quality, vernacular, and availability; data dictionaries
  6. Types of Analysis: predictive, diagnostic, prescriptive, descriptive
  7. Pulling it all together
  8. In-Class introduction to Microsoft Power BI and exercise
  9. HOMEWORK: Analytics assignment unique for each student to build their dashboard
• In-depth exploration of Microsoft Power BI as a tool
• Building great dashboards
  1. Elements of dashboards
  2. Reporting and dashboards
  3. Customer requirements and dashboards; building data visualizations
  4. Interpreting your results
  5. Skills
  6. Presenting and communicating
     • Best practices
     • Using the url
     • Facilitating decision-making
     • Dashboards for ongoing use
     • Tell the Story technique
• IN-CLASS: student presentations

A Business Data Analytics certified professional will be able to:

• Initiate and execute technical/pricing negotiations with data providers
• Look at data sources and search for big data predictors
• Carry out big data processes (for e.g. Text connotation and filtering)
• Identify data trends from sets
• Business goals and best work practices
• Supply accurate data models, code and produce data rules from the analysis
• Produce solutions for real-time distributed data processing

Job Prospects for Business Data Analytics Certified professional.

An early career Business Intelligence Manager with 1-4 years of experience earns an average total compensation (includes tips, bonus, and overtime pay) of $87,466 based on 293 salaries. A mid-career Business Intelligence Manager with 5-9 years of experience earns an average total compensation of $103,178 based on 407 salaries. An experienced Business Intelligence Manager with 10-19 years of experience earns an average total compensation of $111,713 based on 426 salaries. In their late career (20 years and higher), employees earn an average total compensation of $122,204. www.payscale.com

This course prepares you for Certification in Business Data Analytics (IIBA®- CBDA) 

Duration: 48 hours

Regular fees:

Special fees:

What is data analytics?

Data Analytics is about understanding your data and using that knowledge to drive actions. It reveals the trends and outliers within the data which might be otherwise difficult to note. It is a scientific way to convert raw data into information that helps guide difficult decisions.

Who will benefit from this course?

This course is designed for both beginners and experienced professionals who are inexperienced or have recently stepped into the field of analytics. This course is beneficial for: IT developers and testers, Data analysts, Junior data scientists, Analytics professionals, BI and reporting professionals, Project managers, Students and Professionals working with data in any industry.

What are the prerequisites for being a Business Data Analytics?
There are no prerequisites for this business data analytics course other than an analytical mindset. However, we do expect the participants to have a basic knowledge of working with Microsoft Office, Internet and Business Analysis Acumen.

Why should I become a Business Data Analytics certified Professional?

•   You will learn the concepts and best practices for Business Analytics
•  You will do hands-on, in-class exercises and 3 homework assignments.
• You will do a minimum of 1 presentation on your Business Analytics research work.
• Reading materials will be based on the Essential Readings recommended by the IIBA (https://www.iiba.org/certification/specialized-business-analysis-certifications/business-data-analytics-certification/essential-reading-resources/)
•  Class will be an interactive, engaging experience.
•  Students will be graded on their attendance, assignments,   and participation.
• The class will draw from the IIBA standards for Business Analysis and Business Data Analytics
• Students will be prepared to successfully take the certification exam for CBDA through IIBA, and have the skills to work as Business Data Analytics professionals.

What will I be able to do after successfully finishing the program?

•  Initiate and execute technical/pricing negotiations with data providers
•  Look at data sources and search for big data predictors
• Carry out big data processes (for e.g. Text connotation and filtering)
•  Identify data trends from sets
• Business goals and best work practices
• Supply accurate data models, code and produce data rules from the analysis
• Produce solutions for real-time distributed data processing

How are the jobs for Business Data Analytics in general?

An early career Business Intelligence Manager with 1-4 years of experience earns an average total compensation (includes tips, bonus, and overtime pay) of $87,466 based on 293 salaries. A mid-career Business Intelligence Manager with 5-9 years of experience earns an average total compensation of $103,178 based on 407 salaries. An experienced Business Intelligence Manager with 10-19 years of experience earns an average total compensation of $111,713 based on 426 salaries. In their late career (20 years and higher), employees earn an average total compensation of $122,204. www.payscale.com

How many weeks is this course?
The course typically lasts 5 weeks; it’s very comprehensive and very hands-on. Also, the gap during the week allows the students to fully study and gain a strong understanding and practice what is being taught in the class.

Do I need programming background or knowledge?

Programming knowledge is not a requirement at all. All you need is an analytical mindset, basic Knowledge of Microsoft Office, Internet and Business Analysis Acumen.

Is this Program only for Data Scientists?
No this program is not only for Data Scientists, but for IT developers and testers, Data analysts, Junior data scientists, Analytics professionals, BI and reporting professionals, Project managers, Students and Professionals working with data in any industry wishing to work on analytics projects, hence you must not expect to be too technical in terms of algorithms.

The IIBA®- CBDA exam includes questions pertaining to the six Blueprint Domains, five practitioner-based domains discussed in IIBA’s Introduction to Business Data Analytics: A Practitioners View, and one organizational-based domain from IIBA’s Introduction to Business Data Analytics: An Organizational View:

• Identify Research Questions – 20% (Domain 1)
• Source Data – 15% (Domain 2)
• Analyze Data – 16% (Domain 3)
• Interpret and Report Results – 20% (Domain 4)
• Use Results to Influence Business Decision Making – 20% (Domain 5)
• Guide Company-level Strategy for Business Analytics – 9% (Domain 6)