Business Analytics
Business Analytics lies at the intersection of business and data science. It takes business data (such as sales figures or customer relations metrics) through statistical and operations analysis and comes out with insights into various business functions. Business Analytics offers descriptive, predictive, diagnostic and prescriptive action items that make organizations better informed and take better decisions.

In addition, Business Analytics results in cost efficiency. It helps organizations quickly respond to user needs for availability of data, improves competitiveness and produces a single, unified view of organizational or business information.


  • Data Analytics & its Methodology

  • Fundamental of statistics

  • Data Visualization

  • Data Distribution & Correlation

  • Test of significance – Hypothesis testing, t-Test, ANOVA

  • Data Mining – Unsupervised & Supervised

  • Regression Analysis - Linear & Logistic

  • Cluster Analysis – Hierarchical & k-Means

  • Time series Analysis

  • Text Mining



    • Get trained through an ISO certified institute. Our course completion certificate and material are globally recognized. Skill based certification provided which will add value in resume



    • All our trainer are Certified in their Products. B2E certified Industry experienced faculty. They ensure students are benefited with in depth practical training.



      LIVEWIRE is in association with 250+ corporates, who grab candidates from our centres when they match their job requirement. We offer all these opening to the students. They will be able to directly apply for the openings through our Student Portal.


  • We will guide you on one-mini project

  • Real time application training

  • Individual focus

  • Learn the required skill



  • Material for future reference

  • Internationally recognized Course Completion certificate

  • Skill based Certificate


  • Once can aim at becoming a Business Intelligence Analyst

  • SAS Data Analyst

  • IBM Data Analyst

  • Data Scientist

  • Data Mining Engineer

  • Machine Learning Engineer

  • Big Data Scientist

  • Data Architect

  • Business Intelligence Architect

  • Enterprise Data Architect

  • Big Data Architect

  • Hadoop Engineer

  • Data Warehouse Architect

  • Senior Data Scientist

  • Senior Big Data Analyst

Business Alanytics Salary Scale Exponiq
Highly talented, educated and experienced big data scientists can earn well over $250,000 per annum with salary plus incentives - Source : Indeed

McKinsey predicts that by 2018, there will be a 50% gap in the supply of data scientists versus demand, which clearly means that the demand for data scientists and Business Analysts is increasing.
A wide range of industries including marketing, finance, health care, logistics, insurance, e-commerce, manufacturing, and governments employ business analysts.


  • A person with diplomas in an analytical concentration, such as Computer Science, Math & Statistics, Management Information Systems, Economics, Engineering and Hard Sciences.
  • IT professionals and graduates who are looking for the career in data science and analytics.
  • Information Architects who want to gain expertise in Predictive Analytics Anyone who is familiar with the basic math and statistic concepts
  • A person who is curious about playing with data and Have passion for developing business acumen
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