Business Analytics using Microsoft Excel and Power BI
Boost your Business analytics career using Microsoft® Excel and Power BI skills by taking this Business Analytics course. These two commonly used tools, combined with official business analytics certification, will put you on the path of a successful career.
About This Course
This training is going to focus on making you highly proficient in the use of Excel and Power BI for business data analysis, dashboard creation and reporting the professional way.
Prerequisites
Role of Business Analyst
A Business Analyst bridges the gap between business and IT by driving the organization toward efficiency and profitability. They are mainly responsible for planning and monitoring, eliciting requirements, analyzing functional and technical requirements, and communicating with various stakeholders to fulfill business needs. They play a crucial role in fixing outdated processes, driving new technology adoption, and innovation, making this an in-demand role in every area of business, from consulting to product management.
Salary Trend
For instance, the average annual Business Analyst salary at the entry-level in IT with less than 1-year experience is around Rs 3,59,807. However, the Business Analyst salary for those having 1-4 years of experience can earn an annual compensation of Rs 5,27,712.
Business analysts can earn $78 500 per year globally.
Learning Objectives
Target Audience
- IT developers
- IT Testers
- Data analysts
- Junior data scientists
- Analytics professionals
- BI and reporting professionals
- Project managers
- Students and professionals working with data in any industry
Curriculum
Introduction to Business Analytics
Introduction
Areas of Analytics
Business Analysis Analytical Techniques
Business Analysis Supporting Models
Decision-making Analyses
Business Analysis Activities
Business Analysis Tools
Business Analysis Documentation and Criteria
Analytical Thinking
Agile Business Analysis
Business Process Management
Introduction to Business Intelligence
Microsoft Power BI
Getting Data Into Power BI
Data Preparation
Data Modeling and Visualization
Formatting Conditional Formatting and Important Fuctions
