Data Science Scholars Program

The Data Science Scholar program (DSSP) is a scholarship program offered under the Geoffrey Hinton Fellowship. It’s a 3-course program that takes you from Beginner to a Data Scientist.

The DSSP fellowship is an invitation-only program open to top students and alumni of the country's best-known institutions for a 18 week part-time immersion program in Data Science developed by Dr. Pavlos Protopapas, of Harvard University.

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Program image

Starts

December 31, 2022

Duration

18 Week

Time Investment

20 Hrs/Week

Format

Live, Online

Fee

$0 (*small processing fee upon selection)
₹0 (*small processing fee upon selection)

Registration closes

December 15, 2022

What do you get being a part of the Fellowship?

Mentored preparation for top global careers
Image of a handshake
5 times every week for 6 weeks of fun & high engagement with peers from reputed institutions & organizations
Participation in Univ.AI's global placement system for employment opportunities worldwide
Interactions with top faculty and professionals during guest sessions

Meet the teaching team

Course Outcome

Who should apply

This program is ideal for students interested in the fields of AI and Ds and want to go from an absolute beginner to a proficient entry level data scientist.

Upon completion, you will have made significant progress along your way to become an expert in Data Science and AI. You will be able to apply for and secure entry level Data Science opportunities.

Prerequisites

Your are expected to have a working knowledge of python, along with these three libraries:

  • NumPy
  • Pandas
  • Matplotlib

And a zeal to learn.

Class Timings

We will update it soon.

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Fellowship Structure

Live online classes
1. Live Online Classes

Bi-weekly live, cohort-based lessons with labs and quizzes

Mentorship
2. Mentor-Supported

Ten or more hours/week to interact with an experienced & accomplished mentor

Module end Project
3. End-of-Module Project

Complex problems that challenge you to apply what you learn

Topics Covered

AI-1

KNN Regression and Linear Regression

Multi Regression and Poly Regression

Model Selection using Train/Validation and Cross-Validation

Regularization: Ridge and Lasso Regressions

Inference in Linear Regression

Logistic Regression, Loss Function for Logistic, Multi+Poly Logistic Regression and Decision Boundaries

Regularization of Logistic Regression, Multi-class Logistic Regression, Metrics and Data Imbalance, ROC Curves, Precision and Recall

Decision Trees

Bagging

Random Forest

Boosting

AI-2

Neural Networks: Perceptron and MLP

Neural Networks: Anatomy of Neural Networks and Design Choices

Neural Networks: Backpropagation and Optimizers

Neural Networks: Regularization for Neural Networks: Dropout, and Batch-Normalization

Convolutional Neural Networks: Basic Concepts, Kernels, Strides, and Padding

Convolutional Neural Networks: Pooling and CNN Architecture

Convolutional Neural Networks: Backpropagation in Max Pooling, Receptive Fields

Visualization: Feature Map and Saliency Maps

Autoencoders

Transfer Learning + State-of-the-Art Networks

DS-1

Introduction to Data, Pandas & SQL

HTML, Scraping & APIs

Getting Data Ready

Exploratory Data Analysis

Data Visualisation: Principles & Communication

Recommendation Systems

Clustering

Dimensionality Reduction Techniques

Interpretation & Model Evaluation

Data Science Process

Policy

Cost of attending the fellowship

You will need to pay two small amounts:

  1. A fully refundable skin-in-the-game deposit of ₹10,500
  2.  A non refundable, pass-through Edtsem (platform) fee of ₹4500.

Total initial amount: ₹15000 

of which ₹10,500 is fully refundable

The charge is for the cost of the platform, EdStem, for which we pay on a per-seat basis. Compute, also a significant per-person cost is currently provided free.

POLICY for the Certificate & refund

- 75% attendance 

- All submissions (Homework + Projects)

You will need to pay two small amounts:

  1. A fully refundable skin-in-the-game deposit of $130
  2.  A non refundable, pass-through Edtsem (platform) fee of $60.

Total initial amount: $190 

of which $130 is fully refundable

The charge is for the cost of the platform, EdStem, for which we pay on a per-seat basis. Compute, also a significant per-person cost is currently provided free.

POLICY for the Certificate & refund

- 75% attendance 

- All submissions (Homework + Projects)

Why is there a fee for attending the fellowship

We charge a token fee merely to have your skin in the game. We’d like for you to attend once accepted. If you do not attend, someone else will be denied the opportunity.

Just so you know, the nominal value of the fellowship is around ₹1,50,000 per person for a 18 week program. This cost comes from the enormous amount of resources and costs, that go into making this opportunity available to a select few - namely

  • Professors & TAs
  • LMS platform
  • (EdStem)Curriculum development
  • Cloud compute & other cloud resources
  • A team of 40 people that supports various aspects of your experience

We charge a token fee merely to have your skin in the game. We’d like for you to attend once accepted. If you do not attend, someone else will be denied the opportunity.

Just so you know, the nominal value of the fellowship is around $1885 per person for a 18 week program. This cost comes from the enormous amount of resources and costs, that go into making this opportunity available to a select few - namely

  • Professors & TAs
  • LMS platform
  • (EdStem)Curriculum development
  • Cloud compute & other cloud resources
  • A team of 40 people that supports various aspects of your experience

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Join an info session
Thank you for your interest. You can now sign-up for counselling sessions to discuss courses, tuition options, career prospects and more. We will be happy to guide you through your Data Science journey.
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