Premium Tech Internship

Maths & Statistics
Internship

✓ Included
Real Projects
Industry-grade portfolio
✓ Included
Expert Mentors
Senior industry professionals
✓ Included
Placement Assistance
100% placement support
✓ Included
Certification
ISO verified certificate
✓ Included
Live Training
Interactive live sessions

Internship Curriculum Roadmap

Beginner Intermediate Advanced
1
Phase 1 — Mathematical Foundations Weeks 1-4 Beginner
  • Linear Algebra
  • Matrix Operations
  • Calculus Refresher
  • Probability Theory
  • Set Theory
2
Phase 2 — Statistics Core Weeks 5-8 Intermediate 🌟 Project: Statistical Analysis Report
  • Descriptive Statistics
  • Bayesian Statistics
  • Hypothesis Testing
  • Confidence Intervals
  • A/B Testing
3
Phase 3 — Applied Mathematics Weeks 9-12 Intermediate 🌟 Project: Forecasting Model
  • Multivariate Statistics
  • Regression Analysis
  • Time Series Analysis
  • Optimization Theory
  • Information Theory
4
Phase 4 — ML Math & Capstone Weeks 13-16 Advanced 🌟 Capstone: Math-Driven ML Project
  • Gradient Descent Deep Dive
  • SVD & PCA
  • Eigenvalues in ML
  • Stochastic Processes
  • Statistical Storytelling

Program Overview

Build a strong foundation in linear algebra, probability, and statistics. This course is essential for success in data science and machine learning internships.

Duration

3 - 6 Months

Certification

ISO Verified

Placement

100% Assistance

Industry Ready

Our internship programs are designed to bridge the gap between academic knowledge and industry expectations.

Real Projects

Work on live, industry-standard projects to build a robust portfolio.

Expert Mentorship

Get guided step-by-step by senior developers and tech leads.

Pre-Placement Offer

Top performers receive direct job offers or interviews with partner networks.

🚀 Apply Now — Limited Seats

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⭐ Student Reviews

Our Alumni Say It All

Real experiences from students who transformed their careers with Vidyexd internships

reviewer
Raman Gupta
Data Analyst @ PwC, Delhi
★★★★★

“Linear algebra and matrix operations finally clicked for me at Vidyexd. The geometric intuition behind SVD and PCA, explained visually and algebraically, became my superpower in data science. PwC Analytics team loved my depth.”

Maths and Statistics
reviewer
Sonal Jain
Statistician @ Deloitte, Mumbai
★★★★★

“Bayesian statistics and hypothesis testing were taught with rigorous mathematical foundations but clear practical applications. I can now design proper A/B tests and interpret p-values correctly, skills many data scientists lack.”

Maths and Statistics
reviewer
Nikhil Sharma
Quant Analyst @ Goldman Sachs, Bengaluru
★★★★★

“Probability theory, stochastic processes, and statistical inference were covered with the mathematical rigor finance careers demand. Goldman quantitative assessment was extremely statistics-heavy and Vidyexd prepared me perfectly.”

Maths and Statistics
reviewer
Aditi Verma
Research Analyst @ McKinsey, Delhi
★★★★★

“Regression analysis, multivariate statistics, and time series forecasting were taught with real business datasets. The statistical storytelling module translating mathematical findings into business insights is uniquely practical.”

Maths and Statistics
reviewer
Pranav Das
ML Engineer @ Microsoft, Hyderabad
★★★★★

“Calculus and optimization theory, gradient descent, Lagrange multipliers, convexity, were covered in the context of machine learning. Understanding math behind ML algorithms makes you so much better at model diagnostics.”

Maths and Statistics
reviewer
Kriti Rao
Data Scientist @ Flipkart, Bengaluru
★★★★★

“The information theory module (entropy, mutual information, KL-divergence) was unexpectedly profound. This content shows up everywhere in ML and Vidyexd is one of very few programs that covers it properly. Pure gold.”

Maths and Statistics