Business Analytics

Rapid Skillz

Course

Online

£ 101.52 VAT inc.

*Indicative price

Original amount in USD:

$ 127

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Description

  • Type

    Course

  • Level

    Intermediate

  • Methodology

    Online

  • Duration

    Flexible

  • Start date

    Different dates available

Business Analytics course helps in understanding the statistical tools & techniques used to examine and solve business problems within the data collected.

Facilities

Location

Start date

Online

Start date

Different dates availableEnrolment now open

About this course

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

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.

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Subjects

  • Media
  • Using excel
  • Social Media
  • Excel
  • Decision Making
  • Data Mining
  • Business Intelligence
  • Programming
  • MS Excel
  • Scientific Management
  • Sampling Techniques
  • Business Analytics
  • Media analytics
  • Statistical concepts

Teachers and trainers (1)

Name Name

Name Name

Teacher

Course programme

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

Additional information

BENEFITS

 Knowledge of Statistical Techniques of Business Analytics Development of analytical and decision-making abilities by examining real-life case studies Certification on Business Analytics is great value-add for the student’s resume, which can help him/her pursue a promising career Industry recognized Business Analytics certification from Manipal ProLearn after completion of the program. Find opportunities as Business Analyst, Project Manager, etc. Certified Business analysts earn anywhere between 5 - 12 lakhs INR pa.

See related categories

Business Analytics

£ 101.52 VAT inc.

*Indicative price

Original amount in USD:

$ 127

The best IT Systems courses

See all

See all