Business Analytics for Data-Driven Decision Making – Internship Program 2025

About Course

The Business Analytics Internship Program at SimpleSphere Technologies is designed to provide MBA students with comprehensive, hands-on experience in the rapidly evolving field of business analytics, with a specific focus on SaaS applications, web and app development, and digital marketing. Over the span of 60 days, interns will engage with real-world data, apply analytics techniques, and contribute to business decision-making processes that drive the company’s operations. This course will help students bridge the gap between academic learning and practical application in the tech industry.

How to analyze data to improve SaaS applications, web, and mobile app performance.
Learn the importance of data cleaning, preprocessing, and visualizing business metrics.
Gain hands-on experience with tools like Python, Excel, Google Analytics, Tableau, and Power BI.
Master predictive analytics and forecasting techniques to predict user behavior and product performance.
Understand the role of machine learning and AI in customer segmentation, retention, and sentiment analysis.
Develop data-driven decision-making skills that will optimize digital marketing strategies.

Course Content

Module 1: Introduction to Business Analytics and SimpleSphere Technologies

Lesson 1: Introduction to SimpleSphere Technologies

01:11:22
Lesson 2: Introduction to Business Analytics

18:12
Lesson 3: Understanding Data Management and Data Sources

02:06:00

Module 2: Data Analysis for SaaS, Web, and App Development

Module 3: Data Visualization and Dashboard Creation

Module 4: Advanced Analytics and Machine Learning for Business Insights

Module 5: Real-World Application and Project Implementation

Projects

Paresh Patil – Sales Forecasting for SaaS Products
Harshal Kulkarni – Website Traffic Analysis and Optimization
Ketan Borse – Product Usage Analysis and Feature Prioritization
Rahul More – Sentiment Analysis of Customer Feedback
Tejashri Baviskar – Optimizing Marketing Campaigns with A/B Testing Turn
Neha Shimpi – Predictive Analytics for SaaS Churn Rate
Taskeen Fatema Quadri – Customer Lifetime Value (CLV) Prediction
Aishwary Koli – Customer Segmentation for a SaaS Application
Jayesh Pawar – Purchase Order Optimization for Cost Efficiency

Business Analytics for Data-Driven Decision Making – Internship Program 2025

About Course

What Will You Learn?

Course Content

Module 1: Introduction to Business Analytics and SimpleSphere Technologies

Lesson 1: Introduction to SimpleSphere Technologies

Lesson 2: Introduction to Business Analytics

Lesson 3: Understanding Data Management and Data Sources

Module 2: Data Analysis for SaaS, Web, and App Development

Lesson 1: Data Preprocessing and Data Cleaning

Lesson 2: Exploratory Data Analysis (EDA) for SaaS Applications

Lesson 3: Predictive Analytics and Forecasting for Web/App Development

Module 3: Data Visualization and Dashboard Creation

Lesson 1: Creating Dashboards for Business Analytics

Lesson 2: Google Analytics for Digital Marketing Insights

Lesson 3: A/B Testing and Experimentation in Digital Marketing

Module 4: Advanced Analytics and Machine Learning for Business Insights

Lesson 1: Introduction to Machine Learning for Business Analytics

Lesson 2: Customer Segmentation and Retention

Lesson 3: Sentiment Analysis for Digital Marketing Campaigns

Lesson 4: Predicting Sales and Revenue Using Data

Module 5: Real-World Application and Project Implementation

Lesson 1: Capstone Project

Lesson 2: Internship Review and Feedback

Lesson 3: Future Trends in Business Analytics

Projects

Paresh Patil – Sales Forecasting for SaaS Products

Harshal Kulkarni – Website Traffic Analysis and Optimization

Ketan Borse – Product Usage Analysis and Feature Prioritization

Rahul More – Sentiment Analysis of Customer Feedback

Tejashri Baviskar – Optimizing Marketing Campaigns with A/B Testing Turn

Neha Shimpi – Predictive Analytics for SaaS Churn Rate

Taskeen Fatema Quadri – Customer Lifetime Value (CLV) Prediction

Aishwary Koli – Customer Segmentation for a SaaS Application

Jayesh Pawar – Purchase Order Optimization for Cost Efficiency

About Course

What Will You Learn?

Course Content

Module 1: Introduction to Business Analytics and SimpleSphere Technologies

Lesson 1: Introduction to SimpleSphere Technologies

Lesson 2: Introduction to Business Analytics

Lesson 3: Understanding Data Management and Data Sources

Module 2: Data Analysis for SaaS, Web, and App Development

Lesson 1: Data Preprocessing and Data Cleaning

Lesson 2: Exploratory Data Analysis (EDA) for SaaS Applications

Lesson 3: Predictive Analytics and Forecasting for Web/App Development

Module 3: Data Visualization and Dashboard Creation

Lesson 1: Creating Dashboards for Business Analytics

Lesson 2: Google Analytics for Digital Marketing Insights

Lesson 3: A/B Testing and Experimentation in Digital Marketing

Module 4: Advanced Analytics and Machine Learning for Business Insights

Lesson 1: Introduction to Machine Learning for Business Analytics

Lesson 2: Customer Segmentation and Retention

Lesson 3: Sentiment Analysis for Digital Marketing Campaigns

Lesson 4: Predicting Sales and Revenue Using Data

Module 5: Real-World Application and Project Implementation

Lesson 1: Capstone Project

Lesson 2: Internship Review and Feedback

Lesson 3: Future Trends in Business Analytics

Projects

Paresh Patil – Sales Forecasting for SaaS Products

Harshal Kulkarni – Website Traffic Analysis and Optimization

Ketan Borse – Product Usage Analysis and Feature Prioritization

Rahul More – Sentiment Analysis of Customer Feedback

Tejashri Baviskar – Optimizing Marketing Campaigns with A/B Testing Turn

Neha Shimpi – Predictive Analytics for SaaS Churn Rate

Taskeen Fatema Quadri – Customer Lifetime Value (CLV) Prediction

Aishwary Koli – Customer Segmentation for a SaaS Application

Jayesh Pawar – Purchase Order Optimization for Cost Efficiency

Student Ratings & Reviews