Analytics

Business Analytics

Become a Business Analyst with AmbitionHub

Descriptions

Business Analytics (BA) is a set of disciplines and technologies for solving business problems using data analysis, statistical models and other quantitative methods. It involves an iterative, methodical exploration of an organization’s data, with an emphasis on statistical analysis, to drive decision-making. Data-driven companies treat their data as a business asset and actively look for ways to turn it into a competitive advantage. Success with business analytics depends on data quality, skilled analysts who understand the technologies and the business, and a commitment to using data to gain insights that inform business decisions.

Key Features

100% PLACEMENT ASSURANCE

Industry-aligned course and exhaustive curriculum and unlimited call supports till your placement for achieving your dream job

LIVE PROJECT BASED TRAINING

Industry-standard tools provide complete walk throughs for two live projects, offering hands-on experience to each candidate

IT PROFESSIONAL TRAINERS

Industry-aligned course and exhaustive curriculum and unlimited call supports till your placement for achieving your dream job

MOCK INTERVIEW PREPARATION

Continuous mock interviews enhance preparation, all owing unlimited practice to better understand and improve our performance.

Tools Covered

Advance Excel

MySQL

Power BI

Statistics

Python

Where Business Analytics is Used

  • Risk assessment and management
  • Fraud detection
  • Portfolio optimization
  • Credit scoring
  • Customer behavior analysis
  • Campaign performance measurement
  • Market basket analysis
  • A/B testing for ad campaigns
  • Customer segmentation and targeting
  • Inventory management
  • Demand forecasting
  • Price optimization
  • Production optimization
  • Quality control
  • Supply chain optimization
  • Predictive maintenance
  • Network performance analysis
  • Churn prediction and retention strategies
  • Customer service optimization
  • Budget allocation and financial analysis
  • Crime prediction and law enforcement
    optimization
  • Social program effectiveness assessment
  • Energy consumption analysis
  • Equipment maintenance and optimization
  • Renewable energy forecasting
  • Employee performance analysis
  • Workforce planning
  • Talent acquisition and retention
  • Diversity and inclusion analytics
  • Route optimization
  • Vehicle maintenance scheduling
  • Inventory management
  • Property valuation
  • Housing market analysis
  • Rental yield prediction
  • Player/team performance analysis
  • Fan engagement and ticket pricing
  • Broadcast viewership analysis
  • Student performance analysis
  • Enrolment forecasting
  • Education program evaluation
  • Carbon emissions tracking and reduction strategies
  • Energy efficiency optimization
  • Donor segmentation and fundraising optimization
  • Impact assessment and program evaluation
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Instructors
Joshua Hamilton

Web Developer

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