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We Trust In Your Ability

  • No upfront fees, Pay only when you get your dream job.
  • Get coached by experts from McKinsey, BlackRock, IIT, IIM, US Universities.
  • Get Minimum Guaranteed CTC Range of 5.5 - 15 Lakhs*
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Are You Ready To Transform Your Career?

Register Now to take the First Step To Your Dream Job. Next Batch Starting from 16th April.

Benefits For You

1. No Upfront Fee, Get Hired Then Pay: To take up the course, you don't have to pay any upfront fee. You are only eligible to pay us, when you get a job with a minimum CTC of 5 Lakhs.

2. Get Industry Endorsed Certificate : Join the industry endorsed program by Ivy Pro School co-created with SkillEnable. A Unique Collaboration between academia and industry specifically focused on maximizing employability.

3. Join the Data Science Industry : Opportunity to work in one of the fastest growing and rewarding industries in the world.

4. Flexibility of learning from anywhere : Specialized learning program developed to be delivered live online. Give yourself freedom to attend from anywhere. All you need is a laptop and a good internet connection.

5. Work on Real-life Cases / Projects : Hands-on learning on real-life projects/case studies using advanced statistical tools (R, Python, Tableau) and latest models used in Machine Learning and Data Visualization.

6. Focus on Holistic development : We have an all round development approach where we equip you with skills such as CV building, networking skills, Interview skills and other crucial job oriented skills.

Tailor Made Curriculum

Industry focused technical curriculum augmented with candidate focused soft skills enhancement programme.

1:1 Mentorship

Get taught and mentored by Ivy Pros.

Become a Target Hire!

SkillEnable focuses on your complete and holistic development so that you can become the "Target Hired"! Check all the recuriter's boxes with SkillEnable's Deep Dive In Programme.

How Ivy Pro School & SkillEnable Prepare You For Data Science Career

Build Job Ready Skills

Master essential skills of data science, artificial intelligence and machine learning. With these Skills you can bag a job with top MNC's

Complete 30 real-life projects, including six industry-worthy capstone projects to showcase your skills to employers.

Develop a professional portfolio

Make yourself hireable with personalized career coaching and 1:1 mentorship from industry experts

Launch your dream career

Become a Pro in Industry Relevant Tools


Deep Dive In Data Science- AI and ML

Unit 1 | Week (1 - 4)

Planning and Thinking Skills for Architecting Data Science Solutions

  • 10V's of data, Understanding Classification, Segmentation, Regression and Optimization (The general tasks of a Data Scientist)
  • Understanding Statistical (Discriminative and Generative), Non-Parametric (Instance Based and Iterative) Models Graphically
  • The Latest Trends: Sub-Space, Spectral, Kernel and Neural Networks

Unit 2 | Week (5 - 8)

Foundation Courses

  • Data Analytics in Excel - foundation to dashboarding
  • Visualization using Tableau
  • Python / R Programming - coding structures, data handling, control structures, etc.
  • Analytics Problem Solving - CRISP-DM Framework for business problem solving
  • Probabilities, joint and conditional probabilities, simulations and estimations. Introduction to gaussian mixtures and anomaly detection
  • Data types, basic probabilities, Probability distributions (Discrete and Continuous) -Bernoulli, Binomial, Multinomial and Poisson distribution
  • Describing the relationship between attributes: Covariance; Correlation; ChiSquare
  • Special emphasis on Normal distribution; Central Limit Theorem
  • Inferential stats: t, f chi-square testing
  • Inferential statistics: How to learn about the population from a sample and vice versa; Sampling distributions; Confidence Intervals, Hypothesis Testing.
  • Case Study - Uber Supply Gap - summarize and visualize your solutions using Uber supplydata.

Statistical modeling & EDA for Predictive Analytics

Unit 3 | Week (9 - 12)

  • Introduction to R/Python, Binning, Standardization, Normalization
  • Type Conversion, Merging
  • Normal Curves, Central Tendency and Outlier Detection
  • Dimensionality Reduction: PCA, SVD approaches
  • Handling Missing Values (K-NN, MI, Clustering etc.)

Data Pre-Processing

Unit 4 | Week (13 - 16)

  • Data Exploration - Histograms, Bar Chart, Box Plot, Line Graph, Scatter Plot
  • Data Storytelling - The Science, ggplot, Bubble Charts with Multiple Dimensions, Gauge Charts, Treemap, Heat Map and Motion Charts

Data Visualization in R / Python

Unit 5 | Week (17 - 20)

  • Why Linear Regression Fails and Logit Function
  • Approach: Model Estimation, MLE & Error Function, Optimization through Gradient Descent for finding parameters
  • Constructing Logistic Regression, Diagnostics
  • Interpretation and Applications
  • Case Study 1 - Predict employee attrition in a large organization.
  • Case Study 2 - Predict whether the customers will buy a life insurance policy using a large insurer's past customer data.

Discriminative Statistical Models: Logistic Regression

Unit 6 | Week (21 - 24)

  • Approach: Model Estimation, MLE & Error Function, Optimization through Gradient Descent for finding parameters
  • Constructing a Linear Regression, Diagnostics
  • Interpretation and Applications
  • Case Study 1 - Help a digital media company understand why their viewership is falling and propose recommendations to increase viewership
  • Case Study 2 - Create a model to understand the factors that influence car prices in the US.

Linear Regression

Time Series

  • Regression on Time.
  • Modeling Seasonality as Deviation
  • Statistician's Approach: Components of a Time Series and Estimation Methods
  • Smoothing: Moving Average, Weighted and Exponential Moving
  • Holt Winters Method
  • Box-Jenkins and ARIMA
  • Case Study - Forecast gold prices using past 30 years data.

Unit 5 | Week (17 - 20)

Decision Trees

  • Rule Based Knowledge: Logic of Rules, Evaluating Rules, Rule Induction and Association Rules.
  • Construction of Decision Trees through Simplified Examples; Choosing the "Best" attribute at each Non-Leaf node; Entropy; Information Gain, Gini Index, Chi Square, Regression Trees.
  • Generalizing Decision Trees; Information Content and Gain Ratio; Dealing with Numerical Variables; other Measures of Randomness
  • Pruning a Decision Tree; Cost as a consideration; Unwrapping Trees as Rules Oblique Decision Trees
  • Oblique Decision Trees
  • Case Study - Predict whether a customer will default on loan or not

Instance based learning

  • K-NN method, wilson editing and triangulation
  • K-NN in collaborative filtering, digit recognition


  • Methods of Ensembling (Stacking, Mixture of Experts)K-NN in collaborative filtering, digit recognition
  • Bagging and Random forest (Logic, Practical Applications)
  • Ada Boost
  • Gradient Boosting Machines

Learn Now.
Get Your Dream Job.
Pay Fees Later.

Be Job Ready in 24 Weeks


How Would You Benefit From The Program?

  • Curriculum Designed & Delivered By Data Science & AI Experts from Oracle, Boston Consulting Group, Google, McKinsey and Company, Accenture, etc.
  • Career Transition with an Average of 50%+ Salary Hike.
  • Lifetime Placement Support & Class Recording Access.
  • Hiring Opportunities from 200+ Data Science, Analytics & AI Companies.
  • Learn from Anywhere - Live Online Based Training Program.

Register Now to Interact with Ivy's Analytics Director(MSQE, ISI, 14+ years of analytics industry experience),

Time Left To Make A Change

Our Mentors

Prateek Agrawal

Prakhar Gupta

Eeshani Agrawal

Raju Kumar Misra

The co-founder of Adorithm a state-of-the-art Artificial Intelligence and Machine Learning based startup, along with B.Tech from IIT Delhi.

He had donned various hats of a business advisor, Analyst, Consultant etc. utilizing his statistics and analytics knowledge and expertise for various global business clients.

The founder and Director of Ivy Professional School. He has got several years of exposure in global business practices related to Consulting, Analytics, & e-business domains.

He meritoriously earned his Masters’ in Management of Information Systems from the esteemed Texas A and M University in the US.

The Director of Ivy Knowledge Services, bringing over 7 seven years of Project Management expertise.

She had earlier directed the Client Relations for Ivy Professional School. Eeshani holds an MS in Civil Engineering from Texas A and M University in the US.

A consultant and corporate trainer for Data Analytics, Machine Learning and Deep Learning.

Authoring two books on Data Structures and on Big Data already, he was a proud achiever of the Motorola medal for being the best graduate student of IISc 2010.

Our Alumni Works At

Ivy Professional School in Action!

Be Certified By Ivy Professional School

Complete the Data Science with Machine Learning, Artificial Intelligence and Deep Learning course successfully to obtain this prestigious recognition from Ivy Professional School. Receive this accolade with the accomplishment of your course.

Share it with your friends, colleagues, seniors and potential employers. Open the gates of opportunities for that professional leap you have worked hard for.

Payment Plans

Prepaid Payment

Pay us full fees of 1,50,000+ GST upfront.

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Pay us 17.5% of your salary for 3 years if you get a job paying more than the minimum guaranteed CTC.

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Postpaid Payment

How To Get Started?


Fill in our simple application form. This is followed by a multistage assessment which is designed to assess your hunger, aptitude, learning ability and overall fit for our programme. Entry to this highly prestigious programme is highly competitive and is mainly based on your attitude towards learning and working rigorously.

If you progress past all the assessment rounds, you will get the opportunity to sign the ISA and join our ELITE programme. This 24 week programme aims to focus on your holistic development which includes providing you with the latest data analytics relevant skill sets ( SQL, PYTHON, etc.) as well as having your soft skills. ( Networking skills , interview skills , business communication skills)


About halfway into the learning programme , we start referring you to top companies. We provide complete guidance and assistance with regard to the job application process and strive to ensure that our candidates are "Job Ready" in every possible aspect.


Application and Assignment

Intense Learning Programme

Guaranteed Placement

What Our Students Say About Us

Eminent Teacher and lectures who have vivid industrial experience has guide us through rigorous modules of data analytics. Nice placement support and strong alumni of IVY will help to build a good career in data analytics. Best of luck to all of you.

Ramit Podder | Cognizant

Very professional and organised.The faculties are well versed in analytics and provide hands-on training.They provide a conceptual understanding of analytics with a lot of case studies and practical training.

Monica Nandagopal | Beroe Inc

Pay us full fees of 1,50,000 + GST upfront.

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Prepaid Payment

Pay us full fees of 1,50,000 + GST upfront.

Apply Now

Prepaid Payment

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