WHY CERTIFIED PROFESSIONAL DATA SCIENCE & Al ?
MASTER
➤ Data Science, Machine Learning & Al
RECOMMENDED
➤ For aspiring Data Scientists & Al Leaders
➤ 4000+ Alumni Network
➤ 70 % Scholarship
PROGRAM HIGHLIGHTS
➤ LIVE Instructor-led Training
➤ 10 MONTHS Weekend Classes
➤ 100+ Projects & Guides
➤ PLACEMETS 100% career assistance
PROGRAM SYLLABUS
TERM 1 : DATA ANALYSIS WITH PYTHON
➤ Data Science Fundamentals
➤ Data Operations with Numpy
➤ Data Manipulation with Pandas
TERM 2: DATA VISUALIZATION TECHNIQUES
➤ Introduction to Data Visualization
➤ Data Visualization using Matplotlib
➤ Hands-on Pandas for Rapid Visualization
➤ Seaborn for Data Visualization
TERM 3: EDA & DATA STORYTELLING
➤ Introduction to Exploratory Data Analysis
➤ EDA Framework Deep Dive
➤ Scientific Exploration of Industry Data (Case Study)
➤ Student Presentations & Insight Delivery
TERM 4: MACHINE LEARNING FOUNDATION
➤ Introduction to Machine Learning
➤ Linear Regression
➤ Logistic Regression
➤ Model Evaluation Techniques
PROGRAM SYLLABUS CONTENT
TERM 5: MACHINE LEARNING INTERMEDIATE
➤ Decision Trees
➤ Random Forests
➤ Dimensionality Reduction using PCA
➤ Naive Bayes Classifier
TERM 6: MACHINE LEARNING ADVANCED
(Mandatory)
➤ KNN (K-Nearest neighbors)
➤ K-means Clustering
➤ Ensemble Learning
➤ Optimization
TERM 6: DATA VISUALIZATION WITH TABLEAU
(Elective – 1)
➤ Introduction to Data Visualization with Tableau
➤ Exploring Tableau Interface
➤ Tableau Calculations & Dashboard
➤ Mapping using Tableau & Tableau Analytics
TERM 6: DATA ANALYTICS WITH R (Elective – 1)
➤ Introduction to Programming in R
➤ Data Manipulation with dplyr
➤ Data Visualization using ggplot & esquisse
➤ Exploratory Data Analytics I & II
CAPSTONE PROJECT
Experience a real-world simulation of a company problem that needs to be solved using Data Science and Machine Learning. Work with a team of Data Scientists who are working towards solving issues for a company in trouble.
TERM 7: BASICS OF AI, TENSORFLOW & KERAS
➤ Introduction to Artificial Intelligence
➤ Applications of Artificial Intelligence
➤ Introduction to TensorFlow and Keras
➤ Math behind Al: Simplified
TERM 9: COMPUTER VISION – | (Opt either CV-l or NLP-1)
➤ Introduction to Convolution Neural Networks
➤ Decoding Image Components
➤ Identifying MNIST using CNN
➤ Preprocessing Image Data to apply CNN
TERM 8: DEEP LEARNING FOUNDATION
➤ Introduction to Deep Learning
➤ Activation Function and Learning Rate
➤ Role of Optimizers in Deep Learning Models
➤ Deep Learning Model Practicals
TERM 9: NATURAL LANGUAGE PROCESSING – |
(Elective – 1)
➤ Introduction to NLP & Word Vectors
➤ Decoding a Textual Data
➤ NLP using Recurrent Neutral Networks (RNN)
➤ NLP using Memory Alterations
AI CAPSTONE PROJECT
In this ever-evolving world, solving complex problems get easier using Al. In this capstone project, you will be an Al expert who is helping a hypothetical company resolve some major challenges it faces by using Al. Get a chance to work with a
team of Al specialists and a simulated environment to help you relate to real world challenges companies face regularly
TERM 10: COMPUTER VISION – ||
(Opt either CV-II or NLP-II)
➤ Transfer Learning
➤ Object Detection using CNN based Algorithms – |
➤ Object Detection using CNN based Algorithms – ||
➤ Teaching Machines to Mimic Real-World
TERM 10: NATURAL LANGUAGE PROCESSING – ||
(Opt either CV-II or NLP-II)
➤ Teach Machines to Generate New Textual Data (Language Modeling)
➤ Keras Functional API and Intro to Sequence to Sequence Model
➤ Language Translation – English to Spanish using Seq2Seq Models
➤ Building a Chatbot
CAREER SUPPORT
DATA SCIENCE CAREER LAUNCHPAD
➤ 1-month exclusive program for working professionals.
RESUME WORKSHOP
➤ We’ll help you build a sharp Data Science Resume.
INDUSTRY EXPERT SESSIONS
➤ Get access to monthly industry expert sessions.
LIVE JOB ANALYSIS
➤Apply to the right companies based on your profile.
INTERVIEW GUIDES
➤ Download Data Science, ML & Al interview question bank.
MOCK INTERVIEWS
➤ Participate in 1-on-1 mock interviews and be more prepared.
HIRING PARTNERS
➤ Get better opportunities by applying to the right companies.
DURATION : 10 Months
PROGRAM TERMS : 10
WEEKLY SCHEDULE : Online classes on weekends Self-practice/assignments on weekdays
SCHOLARSHIPS : Upto 70% scholarships available
EMI : EMIs starting INR 8,752 / month