Data Science Masters Program with Deep Learning

First Steps into ML

Master the art of collecting, extracting, querying, cleaning, and aggregating data for analysis

• Descriptive Stats
• Inferential Statistics & Probability
• Linear Regression
• Regularisation
• Exploratory Data Analysis
• Data Pre-processing & Feature Engineering
• Feature Selection
• Logistic Regression

Problem Solving with ML

Solve real world data science problems on industry data sets using appropriate Supervised ML models and algorithms.

• Decision Tree
• Random Forest / Ensembling
• Gradient Boosting Machines
• Challenges in Machine Learning
• Clustering / K-means

Advanced Machine Learning

Develop a deep understanding on real world applications of Unsupervised ML algorithms.

• Time Series Modelling
• Natural Language Processing
• Recommender Systems

Big Data

Understand how distributed systems and parallel computing technologies are solving these challenges.

• Introduction to Big Data
• Apache Flume
• HDFS
• Apache Sqoop
• Apache Spark Architect
• Spark Dataframes
• Apache Hive
• Amazon Web Services

Deploying ML @ scale

Productize your data science models. Build a fluid understanding on how to deploy data science products.

• Pillars of Machine learning deployment
• Ways to deploy Machine learning Modules.
• Deploy a docker API in cloud

Deep Learning

This module will equip you with the foundations and enable you to construct a neural network with popular Python packages like Keras and Tensorflow. Along with it, you will also learn more about Convolution Neural Network, Recurrent Neural Networks, optimisation techniques like RMSprop, Adam, initialization techniques like Xavier, Dropout etc.

• ML vs DL
• Feed-forward, Backpropagation and optimisation
• Loss functions, regularisation and evaluation metrics
• Image processing with CNN
• Text processing with RNN

Road to Career & Projects

“Experiential” projects are opportunities where students take what they’ve learned throughout the course and apply it to a specific idea. Our career services work closely with you throughout the program. We help you identify your strengths and weaknesses, determine career interests, and spot employment opportunities. We empower our students to become self-sufficient in navigating the ever-changing employment landscape.

Profile Tuning: till you get the Job. Allow our placement team to work its magic. Experienced placement folks can ensure your profile reaches out to people who matter the most.

Digital Profile Building: At graduation, you will have an extensive and rich GitHub portfolio, several storytelling blogs on Medium, and a résumé that does most of the speaking.

Interview Prep: We help our students gear up for job interviews with a rich resource repository of frequently asked interview questions to our past learners, industry talks where leaders share their insights on what they are looking out for in people when they hire.

Understanding Job Market: Our career coaches help you understand the hiring landscape and navigate its challenging terrain.

GreyAtom's Hiring Network is now looking to absorb the talent that is ready to enter the industry.