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.
Data-focused organizations perform better and making the most of the data is key in making sound business decisions. Your strong business analysis skills coupled with the knowledge, competencies and experience performing business data analytics activities are in high demand. A recent article* ranked business analysis amongst the most in-demand hard skills of 2019, along with analytical reasoning. Certification in Business Data Analytics is the key to help you prepare for these in-demand skills and to remain on top of industry trends. *LinkedIn Talent Blog “The Most In-demand Hard and Soft Skills of 2019” In the data-driven economy, providing value means being able to translate data rapidly into value-add information.
Business data analytics is a practice by which a specific set of techniques, competencies and procedures are applied to perform the continuous exploration, iteration, and investigation of past and current business data, for the purposes of obtaining insights about a business that can lead to improved decision-making. What you learn in this course will give you a strong foundation in all the areas that support analytics and will help you to better position yourself for success within your organization. You’ll develop skills and a perspective that will make you more productive faster and allow you to become a valuable asset to your organization.
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.
A Business Data Analytics certified professional will be able to:
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?
What will I be able to do after successfully finishing the program?
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:
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