Sale!
Awaiting product image

Advanced Diploma in Business Analytics

Original price was: ₹8,000.0.Current price is: ₹4,000.0.

Category:

Description

Here’s a structured course detail for an Advanced Diploma in Business Analytics:

Advanced Diploma in Business Analytics

Duration: 12–18 months (Full-time/Part-time/Online)
Eligibility: Bachelor’s degree in any discipline (Preferably with basic knowledge of statistics/IT)

Course Overview

This program equips students with advanced skills in data analysis, predictive modeling, and business intelligence. It covers tools like Python, R, SQL, Tableau, and Power BI, along with machine learning applications in business decision-making.

Course Modules

1. Foundations of Business Analytics

  • Introduction to Business Analytics

  • Data Types and Data Sources

  • Descriptive, Predictive, and Prescriptive Analytics

  • Business Problem Framing

2. Data Management & SQL

  • Database Fundamentals

  • SQL for Data Extraction & Manipulation

  • Data Cleaning & Transformation

  • Big Data Basics (Hadoop, Spark)

3. Statistical Analysis for Decision Making

  • Probability & Inferential Statistics

  • Hypothesis Testing

  • Regression Analysis

  • Time Series Forecasting

4. Programming for Analytics (Python/R)

  • Python/R Basics for Analytics

  • Data Wrangling (Pandas, NumPy)

  • Data Visualization (Matplotlib, Seaborn, ggplot2)

  • APIs and Web Scraping

5. Data Visualization & Reporting

  • Tableau/Power BI for Dashboards

  • Storytelling with Data

  • Interactive Visualizations

  • Best Practices in Reporting

6. Machine Learning for Business

  • Supervised vs. Unsupervised Learning

  • Algorithms (Linear Regression, Decision Trees, Clustering)

  • Model Evaluation & Deployment

  • AI Ethics in Business

7. Business Applications

  • Marketing Analytics (Customer Segmentation, Churn Prediction)

  • Financial Analytics (Risk Modeling, Fraud Detection)

  • Supply Chain & Operations Analytics

  • HR Analytics (Employee Performance)

8. Capstone Project

  • Real-world Business Analytics Problem

  • End-to-End Project (Data Collection to Insights)

  • Presentation to Industry Panel

Tools & Technologies Covered

  • Programming: Python, R

  • Database: SQL, NoSQL

  • Visualization: Tableau, Power BI, Excel

  • Big Data: Hadoop, Spark (Basics)

  • Machine Learning: Scikit-learn, TensorFlow (Intro)

Learning Outcomes

  • Analyze large datasets to derive actionable insights.

  • Build predictive models for business optimization.

  • Create interactive dashboards for stakeholder reporting.

  • Apply machine learning to solve industry-specific problems.

Career Opportunities

  • Business Analyst

  • Data Analyst

  • Analytics Consultant

  • Marketing Analyst

  • Financial Analyst

Certification

Upon completion, students receive an Advanced Diploma in Business Analytics and may earn optional certifications (e.g., Tableau Desktop Specialist, Microsoft Power BI).

Delivery Mode

  • On-campus: Lectures, Labs, Workshops

  • Online: Live Sessions, Recorded Content, Cloud Labs

  • Hybrid: Blended Learning

Related Products