22,000+ Trained | 1,570+ Reviews | Every Month New Batches
100+ Corporate Partners | 70+ College Partners | 87% Reported Career Benefits

Standout features of this program

Leading Educators

Learn from S Anand (India's leading data scientist) and industry leaders from Apple, Amazon, and VISA

74+ Real-world Projects

Apply your knowledge through 60+ case studies and 14+ hands-on projects, simulating industry scenarios

Alumini Status of E&ICT academy of IIT Guwahati

Leverage the credibility of one of India's top institutes alongside 20k+ graduates

Career Support

Receive personalised career mentorship and placement assistance with 300+ hiring partners

Daily Doubt Resolution

Get daily support to resolve doubts and deepen your understanding

Prestigious award

Get prestigious certificate from E&ICT academy of IIT Guwahati

Master 14+ essential industry tools

Python
Python
Docker
Pandas
AWS
AWS
TensorFlow
TensorFlow
Keras
Keras
NumPy
NumPy
NumPy
Mysql
NumPy
Chat Gpt
NumPy
Seaborn
NumPy
Deepseek
Scikit-learn
Scikit learn
SciPy
SciPy
SciPy
Azure
SciPy
Open Cv

15+

Specialisations

20+

Hands-on Projects

20+

Tools

2 Months Complimentary Programming Bootcamp For Beginners

Solve 60+ Real-World Case Studies

6 Practical Hands-on Capstone Projects

Leverage the hottest advanced certification in data science & machine learning (e&ict academy iit guwahati)

Create and deploy advanced certification in data science & machine learning (e&ict academy iit guwahati)

Dedicated Career Assistance

Highly Recommended for Beginners and Advanced Learners!
I joined Unncap Edusence's French language course as a beginner, and it has been an incredible experience. The course structure is well-organized, and the trainers are very patient and knowledgeable
Riya Sharma
The Perfect Blend of Theory and Practice!
I opted for the advanced level course, and I must say the curriculum is excellent. The course not only focuses on grammar and vocabulary but also emphasizes cultural aspects of French, which is a bonus. The mock interviews and real-life conversational scenarios have improved my fluency immensely.
Arjun Kapoor
Excellent Faculty and Learning Environment!
Unncap Edusence has created a fantastic platform to learn French. The faculty members are native speakers or highly proficient in the language, ensuring accurate learning. The flexible schedule and availability of online classes made it easier for me to balance my studies with my job.
Priya Sen
Best Place to Learn French from Scratch!
I started as a complete beginner with zero knowledge of French, and now I can comfortably form sentences and engage in basic conversations. The trainers made everything easy to understand and provided ample practice exercises. The small batch size ensured personalized attention.
Manish Gupta
A Transformative Learning Journey!
The French language course at Unncap Edusence was a transformative experience. The trainers use innovative teaching techniques like flashcards, videos, and interactive sessions to make learning engaging. The supportive learning environment and regular feedback helped me progress steadily.
Sneha Patel
Enhanced My Career Opportunities!
I enrolled in the advanced French language course to enhance my career prospects, and it has been a game-changer. The trainers guided me through business communication in French, which has helped me land a job with a multinational company. The practical approach and emphasis on professional use of the language set this course apart.
Rajat Singh

Experience a top-tier curriculum

Module 1: Python Programming

3 Weeks ★ 4.5 (757 ratings)
A comprehensive introduction to Python programming fundamentals and key libraries for data science.
  • Intro to programming & python
  • Datatypes & Operators
  • Expressions & Conditionals
  • Loops & Functions
  • OOPS Concepts
  • Data Structures
  • Numpy & Pandas
  • Error Handling
  • Scikit-learn library

Module 2: Mathematics for Data Science

7 Weeks ★ 4.51 (672 ratings)
Essential mathematical concepts and techniques for data science and machine learning.
  • Linear Algebra
  • Calculus
  • Statistics & Probability
  • Linear Regression & Outlier Rejection
  • Optimization and its techniques/types
  • Constrained and Unconstrained Optimization
  • Mathematical Preliminaries
  • Stochastic Search
  • PSO and Genetic Algorithm

Module 3: Introduction to ML & Dimensionality Reduction

4 Weeks ★ 4.6 (589 ratings)
Introduction to machine learning concepts and techniques for reducing data dimensionality.
  • Introduction to Machine Learning
  • Feature Selection
  • Hashing
  • Principal Component Analysis (PCA)
  • Discriminant Functions
  • Linear Discriminant Analysis (LDA)
  • Exploratory Factor Analysis (EFA)

Module 4: Unsupervised Learning, Generative Models, and Pattern Discovery

5 Weeks ★ 4.55 (621 ratings)
Techniques for unsupervised learning, clustering, and pattern discovery in data.
  • Introduction to Unsupervised Learning
  • Spherical K-Means and Incremental Clustering
  • K-Means Clustering
  • Hierarchical Agglomerative Clustering and DBSCAN
  • Mean-shift Clustering
  • Estimation Theory
  • PLSA & Sequence Mining
  • Association Mining Rule
  • Hidden Markov Model (HMM)

Module 5: Supervised Learning and Discriminative Models

6 Weeks ★ 4.62 (703 ratings)
Introduction to supervised learning techniques and discriminative models for classification and regression.
  • Introduction to Supervised Learning
  • Bayesian Classification and Performance Analysis
  • Logistics Regression
  • Perceptron
  • Multilayer Perceptron
  • MLP: Backpropagation and Applications
  • K-NN and RBF, ANN
  • Data Balancing Techniques and Applications
  • Classification and Regression Trees
  • Decision Trees and Random Forest
  • Support Vector Machines (SVM)
  • Bootstraping and Boosting

Module 6: Machine Learning & Cloud

3 Weeks ★ 4.48 (512 ratings)
Fundamentals of cloud computing and deploying machine learning projects on cloud platforms.
  • Cloud Fundamentals
  • ML Tools on Cloud (AWS, Azure, GCP)
  • Deploying ML Projects on Cloud

Module 7: Deep Learning

5 Weeks ★ 4.7 (689 ratings)
Introduction to deep learning, convolutional neural networks, and their applications.
  • Introduction to Deep Neural Networks
  • Convolutional Neural Networks (CNN)
  • Implementation of ConvNet/CNN from Scratch
  • CNN Architectures
  • ConvNet/CNN Demonstration

Module 8: Speech, Vision, NLP

6 Weeks ★ 4.65 (731 ratings)
Techniques for image processing, signal processing, and natural language processing (NLP).
  • Image Processing using OpenCV
  • Signal Processing
  • SciPy
  • Introduction to Natural Language Processing (NLP)
  • Language Models
  • Vector Semantics
  • Neural Models for NLP
  • NLP Libraries

Module 9: Career Services & Capstone Presentation

2 Weeks ★ 4.8 (801 ratings)
Career-focused services and final capstone project presentation.
  • Resume Building
  • Interview Preparation Workshop
  • Capstone Project

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