Business Analytics

Unleash the power of data and drive business success – Join us and turn numbers into insights!

About this Program

High demand in today’s data-driven environment. We will help you obtain insights into customer behavior, sales, and other parts of their business thanks to its assistance in making educated decisions, seeing trends and patterns, and doing so. Industrialists look for people with business analytics abilities across a range of industries, including finance, healthcare, retail, and more, as a result of the daily increase in data generation.

Modules of Curriculum

Session 1: Introduction to Business Analytics
  • Definition and importance of business analytics
  • Key concepts and terminology in business analytics
Session 2: Data Collection and Data Types
  • Overview of data collection methods and sources
  • Understanding different types of data (structured, unstructured, and semi-structured)
Session 3: Data Cleaning and Preparation
  • Techniques for cleaning and preprocessing data
  • Handling missing values, outliers, and data inconsistencies
Session 4: Exploratory Data Analysis (EDA)
  • Exploring and summarizing data using descriptive statistics
  • Visualizing data through charts, graphs, and plots
Session 5: Statistical Analysis for Business Analytics
  • Statistical techniques for analyzing business data
  • Hypothesis testing, correlation, and regression analysis
Session 6: Predictive Analytics and Regression Models
  • Introduction to predictive analytics and its applications in business
  • Building and interpreting regression models for predictive analysis
Session 7: Classification and Decision Trees
  • Overview of classification algorithms for categorical data analysis
  • Building decision tree models for classification tasks
Session 8: Cluster Analysis and Market Segmentation
  • Understanding clustering techniques for customer segmentation
  • Analyzing customer behavior and preferences through clustering
Session 9: Time Series Analysis and Forecasting
  • Basics of time series data analysis
  • Forecasting future trends and patterns using time series models
Session 10: Data Mining and Association Rules
  • Introduction to data mining concepts and techniques
  • Extracting actionable insights through association rule mining
Session 11: Text Mining and Sentiment Analysis
  • Analyzing textual data for sentiment analysis
  • Techniques for extracting meaning and sentiment from unstructured text
Session 12: Optimization and Linear Programming
  • Overview of optimization models and linear programming
  • Applying optimization techniques to business decision-making
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What you'll learn

Who Can Enroll

Frequently asked questions

Analyzing and interpreting data sets, creating visualizations, and using statistical models to make predictions or recommendations for business decisions.

A basic understanding of statistics and data analysis can be helpful, but no prior experience with Business Analytics is necessary.

Roles you can apply for: Business Analyst, Data Analyst, Systems Analyst, Process Analyst, Product Analyst, Financial Analyst, Market Research Analyst, Project Manager, IT Business Analyst, Business Intelligence Analyst, Risk Analyst, Quality Assurance Analyst, Operations Analyst, Business Systems Analyst.

Yes, We will offer you Certificate of Completion that would enhance your credentials in Business Analytics.

Get Certified

Once you successfully complete the entire course, you get a certificate of completion . This certificate will help you will build your credibility as a Business Analyst.

₹ 12000

Need Help? Contact Us

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