Certified Business Analytics Specialist (CBAS) Training
Objective of the Business Analytics Training
Business Analytics is one of the fastest growing technologies which organizations are embracing globally. There has been growing adoption of business analytics software solutions across various industries for analyzing trends, modelling and forecasting, thus enabling businesses to formulate strategies based on new insights. According to a global market research report, the Business Analytics Market is estimated to reach $71.1 billion by 2022 growing at a CAGR of 6.9% from 2015 to 2022.
The primary objective of a Business Analyst is to help the businesses implement technology solutions in a cost-effective way by settling on the requirements of a project or program, and communicating them clearly to stakeholders, facilitators and partners. In addition, a BA specialist may also be responsible for participating in design review, providing analytical support and recommendations, developing technical specifications against business requirements, executing system testing for program changes and enhancements, and preparing various comparative analyses for projects.
Through Certified Business Analytics Specialist (CBAS) course, participants will acquire knowledge on how to use business analytics strategically in organization and to get the most benefit out of it. Also, they will learn to select appropriate type of business analytics based on organizational needs. Participants will actively step through the industry standard process for data mining and realize why an advanced degree in statistics, mathematics or computer science is no longer needed to implement predictive analytics. Live working sessions reveal real-world obstacles and breakthroughs from which to interpret, learn and apply.
As part of the business analytics specialist training , participant will be given a case study and it would cover all the aspects of the Business Analytics, right from making a Data/Information Architecture for the case study to the cycle of CRISP-DM and finally converting all the requirements into predictive models using Rapid Miner tool.
Tools/Software used: RapidMiner, Power BI, Tableau
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