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Business Analytics

Quick Stats

CIOs rank analytics as the #1 factor contributing to an organization's competitiveness.
Top performing enterprises use business analytics 5x more than lower performers.
Professionals with a certification in analytics earn anywhere between 5 - 12lac INR per annum.

Benefits

Business Analytics
Knowledge of Statistical Techniques of Business Analytics
Real-life case studies
Development of analytical and decision-making abilities by examining real-life case studies
Promising career
Great value-add for the student’s resume, which can help him/her pursue a promising career
Business Analytics
Industry recognized certificate in Business Analytics from Manipal ProLearn after completion of the program.
Certification
Find opportunities as Business Analyst, Project Manager, etc. Professionals with a certification in analytics earn anywhere between 5 - 12lac INR per annum.

Who Should Attend

  • Engineering and IT Students – BTech / BE, BCA, MCA, BSc-IT, MSc-IT
  • Commerce & Finance Students - BCom / MCom, Economics Graduates, MBA or BBA
  • Highly recommended for people aspiring for jobs that required data handling – Research, Marketing, IT Services, Big Data & more
  • People who are already employed, but want to upskill themselves in the domain of Business Analytics
  • As a prerequisite, participants should already have attended the Introduction to Business Analytics course or have knowledge of the basics of Business Analytics.

Course Outcome

After completing this course, the learners will be able to:

  • Understanding of basic statistical concepts and types of data
  • Understanding of sampling techniques
  • Understanding of frequency distributions and measures of central tendency, dispersion and shape
  • Knowledge of the one-way analysis of variance and correlation
  • Knowledge of linear regression and linear programming

Curriculum

  • What is Business Analytics?
    • Describe business analytics
    • Describe the evolution of analytics beginning with “scientific management” to its present form
    • Describe the differences between analytics and analysis and explain the concept of insights
    • Describe the broad types of business analytics
  • Case for Business Analytics
    • Describe how organizations benefit from using analytics
  • Understanding Data
    • Describe the importance of data in business analytics
    • Describe the differences between data, information and knowledge
    • Describe the various stages that an organization goes through in terms of data maturity
    • Explain what an organization can do in the absence of good quality data
  • Business Analytics, Business Intelligence and Data Mining
    • Explain the differences between Business Analytics and Business Intelligence
    • Describe the two major components within Business Analytics and Business Intelligence
    • Understand how Data Mining as a technique helps both Business Intelligence and Business Analytics
  • Analytical Decision-Making
    • Describe the analytical decision-making process
    • Describe the characteristics of the analytical decision-making process
  • Analysing Business Problems Using Key Questions
    • Describe how a business problem can be broken down repeatedly into key questions and then answered through analytics
    • Describe the characteristics of a good key question
  • Skills of a Good Business Analyst
    • Identify the skills of a good business analyst
  • Future of Business Analytics
    • Describe the current trends that are likely to shape the future of business analytics
  • Big Data Analytics in the Enterprise
    • Describe the characteristics of big data
    • Describe how hardware and software technologies are helping analytics handle extremely large volumes of data
  • Social Media Analytics
    • Define social media analytics
    • Describe the capabilities and common goals of social media analytics
  • Basic Statistical Concepts and Types of Data
    • Define statistics and its use in business
    • Describe the types of data
    • Describe the basic statistical concepts
  • Sampling Techniques
    • Explain the concept of sampling and why it is necessary
    • Describe the various techniques for sampling
    • Describe a good sample
  • Frequency Distributions and Measures Of Central Tendency
    • Describe frequency distributions
    • Explain the various measures of central tendency
  • Variability and Shape
    • Explain the different measures of dispersion
    • Explain the different measures of shape
  • One-way Analysis of Variance
    • Explain the concept of ANOVA
    • Calculate ANOVA using MS Excel
    • Test a hypothesis using ANOVA
  • Correlation
    • Evaluate the statistical relationships between two random variables and understand the measure of correlation
    • Identify and quantify correlation between two datasets using MS Excel
    • Explain the concepts of correlation versus causation
  • Linear Regression
    • Explain how to model statistical relationships between two data series using linear regression
    • Create a linear regression model to forecast values using linear regression in MS Excel
  • Linear Programming
    • Explain the concept of linearity
    • Describe linear programming
    • Formulate a linear programming problem
  • Linear Programming – Allocation Models
    • Describe allocation models in linear programming
    • Solve allocation model problems in linear programming using MS Excel
  • Linear Programming – Covering Models
    • Describe covering models in linear programming
    • Solve covering model problems in linear programming using MS Excel

Quick Stats

CIOs rank analytics as the #1 factor contributing to an organization's competitiveness.
Top performing enterprises use business analytics 5x more than lower performers.
Professionals with a certification in analytics earn anywhere between 5 - 12lac INR per annum.

Benefits

Learn to derive business
Learn to derive business insights from large and complex data.
Gain in depth knowledge
Gain in depth knowledge of Business Analytics concepts and tools.
Develop analytical skills
Develop analytical and decision making skills by examining real life case studies.
Certificate in Business Analytics
Industry recognized certificate in Business Analytics from Manipal ProLearn after completion of the program
Opportunities as Business Analyst
Find opportunities as Business Analyst, Project Manager, etc. Professionals with a certification in analytics earn anywhere between 5 - 12lac INR per annum

Who Should Attend

  • Engineering and IT Students – BTech / BE, BCA, MCA, BSc-IT, MSc-IT
  • Commerce & Finance Students - BCom / MCom, Economics Graduates, MBA or BBA
  • Highly recommended for people aspiring for jobs that require data handling – Research, Marketing, IT Services, Big Data & more
  • People who are already employed, but want to upskill themselves in the domain of Business Analytics  

Course Outcome

Upon completion of this program students will be able to:

  • Explain the concept of Business Analytics and the differences between analysis and analytics
  • Describe the importance of data, the various stages of data maturity, and big data
  • Explain Business Analytics, Business Intelligence and Data Mining
  • Describe the analytical decision-making process and how key questions are used to break down a business problem
  • Identify the skills of a good business analyst
  • Describe current trends that will impact the future of Business Analytics
  • Describe the capabilities and goals of social media analytics
  • Define statistics and its use in business
  • Explain the techniques of sampling
  • Explain frequency distributions and the various measures of central tendency, dispersion and shape
  • Calculate one-way Analysis of Variance
  • Identify and quantify correlation between datasets
  • Create linear regression models
  • Solve allocation and covering model problems in linear programming  

Curriculum

  • What is Business Analytics?
  • Case for Business Analytics
  • Understanding Data
  • Business Analytics, Business Intelligence and Data Mining
  • Analytical Decision-Making
  • Analysing Business Problems Using Key Questions
  • Skills of a Good Business Analyst
  • Future of Business Analytics
  • Big Data Analytics in the Enterprise
  • Social Media Analytics
  • Basic Statistical Concepts and Types of Data
  • Sampling Techniques
  • Frequency Distributions and Measures of Central Tendency
  • Variability and Shape
  • One-way Analysis of Variance
  • Correlation
  • Linear Regression
  • Linear Programming
  • Linear Programming – Allocation Models
  • Linear Programming – Covering Models

 

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