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Advanced Certification in Data Science

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Eligibility

Any of the following:
  • Any Bachelor’s Degree: No minimum work-ex required
  • In Final year of any Btech, BCA, 4 year BS program
  • Qualify in our aptitude entrance test
Get Started

Fee

Rs 62,000
Gaurantee : 3 Job* Interviews
  • 4 Industry ready Certifications
  • 5+ Industry Projects
  • Showcase your talent with a Patent
  • Mentorship from ML Experts
  • Job Ready Certification
  • 240+ hours of Learning
Get Started
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What Makes This Certification Just The Right One For Your Career ?

4 Industry Recognised Certifications 

Get 8 individual certificated on AI & ML , Python for ML , Data Science, AI for image processing , AI for speech , Advanced ML techniques. All this culminated in Specialization in AI Certification from Shoolini University and IBM

Comprehensive Curriculum

This program is designed to ensure you will surely have a strong grasp of AI & ML . You work on 8 + projects on AI & ML ,Computer vision, emotional analytics, speech recognition, AI for special industries such as banking , insurance , manufacturing and pharma/medicine.

Industry Mentorship For Job Readiness

The program includes mentorship from leading industry professionals, Internship in a cutting-edge AI company and assistance in job preparation as well as interviews through our placement cell 

Enabling You To Showcase Your Skills With a Patent

Build a strong portfolio of AI projects and get your own AI based app patent
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 Future Ready Program by Shoolini University in collaboration with IBM

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Program Overview

4 Industry ready course Certifications from Shoolini University and IBM

Culminating in AI specialist Certification from Shoolini University and IBM

Job Readiness Module & IELTS coaching for international placements

5+ Data Science projects, case studies and a real industry Internship

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Apply Now
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Why be a Data Scientist

Data Science is amongst the most in demand and well paying professions.  IBM predicts requirement for Data Scientists will rise by 28% annually. Glassdoor  ranks Data Scientists 2nd in the 50  Best Jobs for 2021!  In terms of the current market scenario, the supply of Data Scientists is low and there is significant and growing demand for specialists in this field.
As a Data Scientist, you need to grasp the business issue, design a data analysis strategy, collect and format the required data, apply relevant algorithms using the relevant tools, and make recommendations backed by data.

 

 

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Why Choose Us

Industry Recognized Certification

Specialist In AI Certification from Shoolini University and IBM; as well as 4 individual certificates

1:1 Career Coaching

Mentorship from professionals, Internship in a cutting-edge AI company, job & interview prep through prep our placement cell

Showcase your Mastery

Build a strong Github portfolio of 5+ Data Science projects and your internship /capstone project

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A unique approach to Data Science

We want to make sure you really grasp the concepts of Data Science and AI. According to hiring managers, most job seekers have a student/academic orientation and lack  job-ready skills to perform the job.
We teach what hiring managers look for:  With 4 individual certifications from Shoolini and IBM , a Specialist in Data Science certification– you not only get to work on projects, you actually design a working Data Science project – which is unique and clearly showcases your competence.

 

No other Data Science Course or program does this!
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Certification

 

Advanced Certificate Programme from Shoolini University in Partnership with IBM

Complete all the courses successfully to obtain this cutting-edge industry recognized certification from Shoolini University in association with IBM. Shoolini University is the # 2 University in India for Research as per QS Asia 2021 rankings.
  • Build a strong network for life with opportunities to connect to Data Science Industry experts & your experienced fellow learners
  • Gain theoretical knowledge & practical understanding with this cutting-edge curriculum 
  • Learn multiple tools & languages to stand apart to gain a foothold in the Data Science industry
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Curriculum

 

  • Module 1: Introduction to Python
    • Introduction
    • Installation
    • Variables, Operators and Strings
  • Module 2: Deep Dive into Python
    • Input Output functions
    • Loops, List, dictionaries, tuples
    • File Handler
  • Module 3: Python Libraries
    • Pandas
    • Series and Data Frames
    • Grouping, aggregating, and applying
  • Module 4: Error Handling
    • Dealing with syntax errors
    • Exceptions
    • Handling exceptions with try/except
  • Module 5: Advance
    • Regression
    • Correlation Matrix
    • Linear Regression
    • Machine Learning Algorithms

  • Module 1: Supervised vs Unsupervised Learning
    • Machine Learning vs Statistical Modelling
    • Supervised vs Unsupervised Learning
    • Supervised Learning Classification
    • Unsupervised Learning
  • Module 2: Supervised I
    • K-Nearest Neighbors
    • Decision Trees
    • Random Forests
    • Reliability of Random Forests
    • Advantages & Disadvantages of Decision Trees
  • Module 3: Supervised II
    • Regression Algorithms
    • Model Evaluation
    • Model Evaluation: Overfitting & Underfitting
    • Understanding Different Evaluation Models
  • Module 4: Unsupervised
    • K-Means Clustering plus Advantages & Disadvantages
    • Hierarchical Clustering plus Advantages & Disadvantages
    • Measuring the Distances Between Clusters - Single Linkage Clustering
    • Measuring the Distances Between Clusters - Algorithms for Hierarchy Clustering
    • Density-Based Clustering
  • Module 5: Dimensionality Reduction & Collaborative Filtering
    • Dimensionality Reduction: Feature Extraction & Selection
    • Collaborative Filtering & Its Challenges

  • Module 1: Introduction to Deep Learning
    • Why Deep Learning?
    • What is a neural network?
    • Three reasons to go Deep
    • Your choice of Deep Net
    • An old problem: The Vanishing Gradient
  • Module 2: Deep Learning Models
    • Restricted Boltzmann Machines
    • Deep Belief Nets
    • Convolutional Networks
    • Recurrent Nets
  • Module 3: Additional Deep Learning Models
    • Autoencoders
    • Recursive Neural Tensor Nets
    • Deep Learning Use Cases
  • Module 4: Deep Learning Platforms and Software Libraries
    • What is a Deep Learning Platform?
    • H2O.ai
    • Dato GraphLab
    • What is a Deep Learning Library?
    • Theano
    • Caffe
    • TensorFlow

  • Module 1: Introduction to TensorFlow
    • HelloWorld with TensorFlow
    • Linear Regression
    • Nonlinear Regression
    • Logistic Regression
    • Activation Functions
  • Module 2: Convolutional Neural Networks(CNN)
    • CNN History
    • Understanding CNNs
    • CNN Application
  • Module 3: Recurrent Neural Networks(RNN)
    • Intro to RNN Model
    • Long Short-Term memory (LSTM)
    • Recursive Neural Tensor Network Theory
    • Recurrent Neural Network Model
  • Module 4: Unsupervised Learning
    • Applications of Unsupervised Learning
    • Restricted Boltzmann Machine
    • Collaborative Filtering with RBM
  • Module 5: Autoencoders
    • Introduction to Autoencoders and Applications
    • Autoencoders
    • Deep Belief Network

  • Module 1: Introduction to Visualization Tools
    • Introduction to Data Visualization
    • Introduction to Matplotlib
    • Basic Plotting with Matplotlib
    • Dataset on Immigration to Canada
    • Line Plots
  • Module 2: Basic Visualization Tools
    • Area Plots
    • Histograms
    • Bar Charts
  • Module 3: Specialized Visualization Tools
    • Pie Charts
    • Box Plots
    • Scatter Plots
    • Bubble Plots
  • Module 4: Advanced Visualization Tools
    • Waffle Charts
    • Word Clouds
    • Seaborn and Regression Plots
  • Module 5: Creating Maps and Visualizing Geospatial Data
    • Introduction to Folium
    • Maps with Markers
    • Choropleth Maps

    • Delve into the real world of Data Science with real projects. Get inputs from industry experts’ on Data Science, using Python to Machine Learning, SQL and Tableau.

  • Interview Skills preparation
    • Introduction to AI based coaching for interview skills
    • Key techniques for essential interview questions
    • Preparation based on “3 V “ techniques for effective communication
    • 100+ typical technical interview questions for different modules
  • Resume and Profile Building
    • Resume Review Sessions with Industry Experts & Mentors
    • Profile Building Workshops
    • Review of  Linkedin and GitHub profiles
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Industrial Projects & Internships

 
Data Science in e-commerce

Recommendation engine using rating prediction for Amazon.

 
Data Science in Workforce Analytics

Employee Attrition Analysis for IBM.

 
Data Science in Retail

Predict accurate sales for retail stores of Walmart.

 
Data Science in Healthcare

Predictive model for disease treatment.

 
Data Science in BFSI

Predictive modelling in BFSI.

 
Data Science in Banking

Predicting interest rates for loans.

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Graduate with an AI app patent

 

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The only course that enables you to develop and file your own patent for an AI based application
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Work with a small team of peers and your assigned mentors to conceptualize a breakthrough app
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Academic and Industry mentors to assist you on the project
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Course fees includes filing of patent by team
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Career Support

FirstU Career Support enables you with all that you need to succeed in your career. This is a program to help you prepare and success in your interviews.

  • Career Sessions
    • Interact with industry professional, get invaluable insights on how to succeed in AI Resume and Profile Building
  • Resume and Profile Building
    • Put your best foot forward when your application is screened by your prospective employer
  • AI Interview Coaching prep
    • Access to Siqandar-the world's best interview prep coach - to make sure you come out confident  for your job interview
  • Showcase: e-portfolio & patent
    • Build an industry ready portfolio to showcase your mastery of skills. Work in small teams  to develop your own patent application
 

Career Sessions

 

Resume and Profile Building

 

AI Interview Coaching prep

   

Showcase: e-portfolio & patent

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