Business and Data Analytics

In partnership with edX and Harvard University Aligned to NASSCOM & FutureSkills Prime
In collaboration with
  • Eligibility: Undergraduate
  • Duration: 8 Months
Application Deadline: September 18, 2025
See what you’ll learn
  • 180+ hrs live sessions with industry leaders
  • Master tools like Python, SQL, Power BI, and Gen AI
  • Capstone project in collaboration with experts

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Build the skills that power tomorrow
Use the power of AI to accelerate your career in Data
Your learning roadmap
Job-ready Curriculum
Module Overview: Data Science & Analytics Program

  • Understand the data science lifecycle

  • Analyze key methodologies

  • Apply concepts to real-world scenarios

  • Identify types of analytics (descriptive, predictive, prescriptive)

  • Evaluate business applications

  • Solve problems using analytical techniques

  • Recall core mathematical principles

  • Apply probability and statistics

  • Evaluate models for decision-making

MS Excel Basics

Use formulas for data manipulation

Analyze datasets

Create basic visualizations

MS Excel Advanced

Use pivot tables and lookup functions

Perform complex analysis

Optimize workflows

Macros & VBA

Automate tasks with VBA

Apply logic for productivity

Evaluate automation techniques

SQL Basics

  • Write queries for data retrieval

  • Use filters and sorting

  • Create structured databases

SQL Advanced

  • Use joins, aggregations, nested queries

  • Optimize query performance

  • Analyze relational datasets

SQL Analytics

  • Apply analytical functions

  • Use partitioning and window functions

  • Enhance performance

Power BI Essentials

  • Transform data

  • Build interactive dashboards

DAX & Data Slicing

  • Use DAX queries

  • Apply advanced filtering

  • Optimize models

Dashboarding & Storytelling

  • Design impactful dashboards

  • Present insights effectively

Comprehensive Analytics

  • Analyze trends

  • Create business reports

  • Learn Python syntax

  • Work with data structures

  • Build efficient algorithms

  • Use Pandas and NumPy

  • Apply statistical functions

  • Create visual insights

  • Understand probability distributions

  • Apply hypothesis testing and ANOVA

  • Analyze relationships and significance

  • Use frequency distributions for predictions

  • Differentiate cloud service models

  • Evaluate cloud-based analytics solutions

  • Apply scalable data processing

  • Apply GenAI techniques

  • Automate analytics workflows

  • Evaluate AI-driven insights

  • Understand Agile methodologies

  • Apply Agile principles to analytics

  • Improve collaboration and efficiency

ML Fundamentals

  • Understand ML concepts

  • Apply techniques to structured data

  • Use predictive modeling

Regression & Classification

  • Apply linear and polynomial regression

  • Use binary classification models

  • Evaluate precision, recall, and accuracy

Model Evaluation

  • Use cross-validation

  • Optimize hyperparameters

Unsupervised Learning

  • Apply clustering (K-means, hierarchical)

  • Evaluate business insights

  • Integrate knowledge across modules

  • Apply analytics and ML techniques

  • Present findings and insights

Applied learning in action
Solve problems from Top Global Companies
Foundation of Data Science

  • Leverages data-driven insights using Excel.

  • Enhances customer personalization and recommendation algorithms.

  • Boosts sales through targeted marketing and operational improvements.

  • Involves segmenting customers, analyzing purchase behavior, and applying advanced analytics.

  • Uses SQL to analyze supply chain operations and delivery inefficiencies.

  • Optimizes inventory management and reduces logistics costs.

  • Improves last-mile delivery performance and customer satisfaction.

  • Applies SQL-based forecasting and performance tracking to cut operational costs.

  • Uses Power BI to analyze inventory performance and warehouse operations.

  • Tracks stock levels, identifies overstock/stockout patterns, and monitors demand fluctuations.

  • Improves inventory turnover and reduces storage costs.

  • Enhances supply chain efficiency with real-time visual insights.

  • Tools: SQL, Power BI, Excel.

  • Analyzes customer reviews, delivery performance, and service metrics.

  • Identifies drivers of satisfaction and areas for improvement.

  • Optimizes route efficiency, delivery delays, and personnel utilization.

  • Enhances restaurant ratings, engagement, and operational efficiency.

  • Tools: Python, SQL.

  • Builds ML models to forecast buying patterns and preferences.

  • Personalizes marketing campaigns and boosts conversion rates.

  • Uses AI-driven insights for targeted promotions and recommendations.

  • Tools: SQL, Power BI, Excel.

  • Analyzes loan portfolios to improve risk strategies.

  • Identifies high-risk loans and streamlines approval processes.

  • Enhances financial outcomes and underwriting decisions with data insights.

2 certifications . 2x THE advantage
Get certified by global leaders

On successful completion of the program, you will be eligible for the Hero Vired certificate that places you in an elite league of professionals.

Additional PL-300: Microsoft Power BI Data Analyst Certificate (Subject to the learner clearing the certification examination)

Frequently Asked Questions – Hero Vired Data Science Program

1. What is Collegefynder’s Placement Assurance Policy?
Collegefynder provides placement assurance to eligible learners, where it facilitates job opportunities through interviews with potential employers. The assurance applies to roles offering a CTC between 3 LPA and 5 LPA, with a maximum of 10 interviews arranged.

2. Who is eligible for Placement Assurance?
Learners who successfully complete the program, meet academic performance requirements, maintain consistent attendance, and actively participate in career readiness sessions are eligible for placement assurance.

3. How many job interviews will Collegefynder facilitate under Placement Assurance?
Eligible learners will receive up to 10 interview opportunities with potential employers offering roles within the assured CTC range of 3–5 LPA.

4. What happens if I don’t get placed after 10 interviews?
If a learner is not placed after 10 interviews, the placement assurance process is considered fulfilled. However, learners can continue to receive career guidance and support through placement assistance.

5. What is the difference between Placement Assurance and Placement Assistance?

  • Placement Assurance ensures up to 10 job interviews within a defined CTC range (3–5 LPA).

  • Placement Assistance provides ongoing career services such as resume building, interview preparation, job notifications, and guidance but does not guarantee a minimum number of interviews.

6. Does Collegefynder guarantee a job?
No, Collegefynder does not guarantee a job. Instead, it assures eligible learners of multiple interview opportunities and offers extensive support to improve their chances of securing employment.

7. Is there any stipend provided if I do not get placed?
No, there is no stipend or financial compensation if a learner does not secure a job offer.

8. What kind of support is offered under Placement Assistance?
Placement assistance includes resume building, LinkedIn profile optimization, mock interviews, career counseling sessions, job alerts, and continuous mentorship to help learners stay prepared for opportunities.

9. What happens if I reject a job offer?
If a learner rejects a job offer within the assured CTC range (3–5 LPA), it will be counted as a fulfilled placement assurance opportunity.

10. Can I apply for jobs outside the CTC range of 3–5 LPA?
Yes, learners are free to apply for jobs beyond the 3–5 LPA range. However, such opportunities will not be covered under the placement assurance guarantee.

11. How will I receive job interview notifications?
Learners will receive interview notifications via email and the placement portal. They must regularly check updates and confirm participation within the stipulated timelines.

12. What happens if I miss a scheduled interview?
Missing a scheduled interview without valid reasons will be considered as one of the assured interview opportunities. Repeated absenteeism may affect eligibility for further placements.

13. What is the eligibility criterion for job applications under Placement Assistance?
Learners must complete the program successfully, meet the required academic benchmarks, and actively participate in career readiness modules to be eligible for placement assistance.

14. What should I do if I get a Pre-Placement Offer (PPO) from my internship?
If a learner secures a PPO, they can choose to accept it and opt out of the placement process. If they wish to continue exploring other opportunities, the placement team must be informed in advance.

15. Can I withdraw from the placement process after registering?
Yes, learners can withdraw from the placement process by formally notifying the placement cell. However, once withdrawn, they cannot re-enter the placement assurance process.

16. What happens if I falsify my information to meet the eligibility criteria?
Any falsification of academic, professional, or personal information will lead to immediate disqualification from the placement process and may result in termination of placement services.

17. Is there any refund if I do not get placed?
No, the program fee is non-refundable. Placement assurance is about providing interview opportunities, not guaranteeing final job placement.

18. How do I report issues or concerns regarding the placement process?
Learners can raise concerns or issues by reaching out to the Collegefynder placement support team via email or the student portal. The team will address queries and provide timely resolutions.