Data Science Certification Program

  16 Weeks Classroom Lectures with Mini Projects
  8 Weeks E2E Industry Projects & Case Studies


  Batch Start Date Timings
  Mar'20 21-Mar-20 10:30 AM - 12:30 PM

Download program brochure

"AI will add 2.3 million jobs by 2020" ~ Gartner
Program Features

    "Artificial Intelligence is the New Electricity" ~ Andrew Ng

    Technology giants are rapidly migrating to an AI-ML world. The industry is getting disrupted. It is very obvious where tomorrow’s jobs are going to be. Upgrading your expertise in AI/ML is the best way to sustain your career growth and professional stability.
  • Program is specifically designed for Working Professionals who are looking for a lucrative career in premier domain of machine learning and data sciences.
  • Rich and Applied Course Curriculum ,Industry Projects with daily hands-on, End-to-end projects using Python starting from : Understanding of the problem - Understand the data - Data Pre-processing - Feature Engineering- Algorithm Design and Optimization - Cross Validation - Tuning of the ML model - Production Deployment..
  • Advanced machine learning and artificial intelligence concepts such as Neural Networks, Natural Language Processing, Computer Vision.
  • Learn cutting-edge applications through projects created with the industry experts: Sentiment Analysis,Movies Ranking, Chat Bots, Image Classifiers and much more.
  • Apply for suitable Data Science, Machine Learning and AI profiles and you will get expert mentorship which will help you prepare for best of the industry jobs.
  • This course covers every bit of Mathematics, Statistics & Computer Science working behind complex algorithms and its applications.
Why this Program ?
  • Your work sucks !!
  • Your current organization does not justify your potential !!
  • Concerned about job security & looking for long term stablity ?
  • Are you looking for a switch in a top IT company ?
  • BUT your current skills are obsolete and not taking you anywhere ?
  • This program is the ANSWER!!

  • This is an Advance Certification Program to grab niche Data Science opportunities with product companies/service companies and high paying start-ups.
  • Specialzed Module Added :Advance Coding Classes to Crack Data Science Interviews of Google, Microsoft and other premier companies
  • Program designed by industry experts who have helped industry for decades to get finest brains on board.
  • After the program you will an expert in Machine Learning ,Deep Learning, NLP and Computer Vision.
  • Learn how to Align current experience with new DS learning and cracking DS job interviews.
  • Learn how to get domain experience and data science knowledge work for you, your client and company for implementing new ideas and projects.
  • Learn how to Manage E2E projects in Data Science.
  • Learn how not to be considered as a Fresher in Data Science and Get all your experience counted?
  • Get crystal clear Career Path after course completion?
  • Learn how to become a Expert Data Scientist and Crack Job Interviews ?
  • What will be the Learning Path if coming from non IT Background ?
  • What will be the Learning Path if no prior exreience in Coding/Programming ?
Program Mentors
Ajay Sir from Oracle with 14+ years of industry experience
Rajnish Sir from ST Microelectronics with 15+ years of industry experience
Amar Sir from Google with 10+ years of industry experience
Program Skills:
    Machine Learning | Deep Learning | Neural Networks | Computer Vision | Natural Language Processing (NLP)
Who should take this course?
  • Analytics professionals who want to work in machine learning or artificial intelligence domain.
  • Professionals working in eCommerce and other online consumer based organization and want to enhance skills in AI and Data science.
  • Industry professionals looking for big leap in career and want to switch into the field of analytics.
  • Entry level engineers looking to build a career in Data Science and Machine Learning.
  • Experienced professionals, Project managers who want to harness machine learning skills in their fields to effectively manage new projects coming in to data sciences & ML and giving technical insight to project team to deliver best solutions to the customer.
Program Details:
  • Take first weekend FREE DEMO Class as and experience the wonderful journey in to the world of Machine Learning.
  • Program Duration : 16 Weeks : Classroom Lectures with Mini Projects
    8 Weeks : E2E Industry Project | Case Studies | Hackathon
  • Class Schedule : Classes would be conducted on Weekends (Sat & Sun)
Explore Program
Data Science Foundation
  • Python for Data Analysis: Get acquainted with Data structures, Object Oriented Programming, Data Manipulation and Data Visualization in Python.
  • Mathematics for Machine learning:
  • -Linear Algebra
  • -Multivariate calculus
  • -Probability theory and Probability Distributions
  • -Matrices, Eigen Vectors and their application for Data Analysis.
  • Computer Science & Algorithms: Matrix implementation/ Data Structures & Algorithms
  • Introduction to Cloud Computing and AWS
  • Functions and Graphs
  • Statistics and it's applications
  • Hypothesis Testing
  • What is Data Science – Examples and Applications
  • Numpy and Pandas Tutorial
  • Scikit Learn Tutorial
  • Machine Learning Algorithms
  • Cost Function
  • Metrics for Model Evaluation and Validation
  • Training and Testing
  • Model Overfitting-Underfitting
  • Bias & Variance
  • Gradient Descent Optimization & Learning Rate
  • Bias & Variance
  • Hyperparameters Tuning & Model Optimization
  • S2 Mini-Projects to understand and implement Machine Learning Basics
  • Data Wrangling
  • Data Pre-processing
  • Feature Selection
  • Feature Transformations
  • Outlier Detection and Handling
  • Handling Missing Values
  • Introduction to Supervised Learning
  • Linear Regression
  • Logistic Regression
  • Decision Trees
  • Random Forests
  • Naïve Bayes Classifier
  • Bayesian Statistics and Inference
  • K-Nearest Neighbor
  • Support Vector Machine - SVM
  • One mini project hands-on for each algorithm
  • Introduction to Unsupervised Learning
  • K-Means Clustering
  • Agglomerative Hierarchal Clustering
  • Clustering using DBSCAN
  • Expectation–Maximization (EM) Clustering using Gaussian Mixture Models (GMM)
  • Clustering Mini-Project
  • IAM/S3/EC2
  • Machine Learning on AWS Machines
  • Introduction to Deep Learning
  • Machine Learning VS Deep Learning
  • Introduction to Neural Networks
  • TensorFlow/Theano/Keras
  • Deep Neural networks
  • Forward propagation
  • Back Propagation Learning
  • Activation Functions
  • Loss Functions
  • Hyperparameter Tuning
  • DropOut Regularization
  • Batch Normalization
  • Early Stopping
  • Vanishing & Exploding Gradient Descent
  • Optimization Algorithms
  • - Gradient descent with momentum
  • - RMS Prop
  • - Adam
  • Introduction to Computer Vision
  • Convolutional Neural Networks CNN
  • Residual Netoworks- ResNets
  • Long Short Term Memory LSTM
  • Image identification
  • Object detection and Localization
  • YOLO Algorithm
  • Introduction to DarkNet Project
  • Case Studies
  • - Le-Net5
  • - AlexNet
  • - VGG16
  • - Google Net( Inception Networks)
  • Transfer learning
  • Data Augmentation - Keras Generators
  • Face Recognition
  • Siamese Networks
  • Kaggle Project on Computer Vision
  • Introduction to Natural language Processing
  • Application of NLP
  • NLTK
  • Tokenization
  • Stemming
  • Lemmatization
  • Stop Words
  • Similarity Functions - TFIDF
  • Word Representations
  • One Hot Encoding
  • Word Embedding
  • Learning word Embedding
  • - Word2Vec
  • - SkipGram , N-Gram
  • - Negtaive Sampling
  • - GloVe
  • Beam Search
  • Recurrent Neural Netoworks- RNN
  • BiDirectional RNN
  • Gated Recurrent Unit GRU
  • Long Short Term Memory LSTM
  • Deep RNNs
  • Kaggle Project on NLP
  • PCA
  • LDA
  • Kernel PCA
  • k-fold Cross Validation
  • Grid Search
  • Bagging
  • ADA boost
  • XGBoost
  • Light GBM
  • Ensembling Techniques
  • Stacking
  • All ML/DL algorithms will be covered with hands-on mini projects
  • 15-20 mini projects
  • Deep Learning Projects:-
  • -Sentiment Analysis
  • -Handwritten Digits recognition
  • -Chatbot from Scratch
  • -Recommender System
  • -Named Entity Recognition using Deep Learning Algorithms
  • Hackathons & Competitions
  • Introduction to Kaggle Platform and other Data Science Competitions
  • Challenge for Industry professionals:
    How to align current experience with Data Science?
    How to crack Data Science job interviews?
    What is the surety that after Data Science training I would be able to get a better job offer in ML?
  • Answer: You have to complete a domain-specific project to solve a real-world problem using different Machine Learning/Deep Learning.
  • After Data Science course completion, student need to identify and business problem with help of Mentors at IT Bodhi and implement solution end to end using ML.
  • You need to present this project in Data Science interview as white paper to showcase your in depth knowledge of giving ML/DS solutions to customer problems.
  • This project will help in aligning current domain experience to machine learning knowledge and would pave the way to crack ML job interviews.
  • Time duration to complete the project: Depends on the complexity of the problem but generally it takes 2-3 month approx.
  • Acing Data Science interviews
  • -Booklet of all ML interview questions
  • -Showcasing and presenting ML projects in interviews?
  • -Presenting E2E Industry project in interviews?
  • -How to align current industrty experience with Data Science learning?
  • -How to make a big Impact with Domain knowledge + Data Science learning?
  • -Handling E2E business problem solving questions
  • -Handling Project management questions data sciences
  • -Do's-Dont's in interviews
  • -Interviews preparation
  • Resume Preparation
  • -How to make a impressive resume?
  • -Mention right ML Projects in the resume
  • -A good & a Bad resume
  • **Extra Added module and will be charged separately**
  • Advance Coding Skills
  • Data Strcutures & Algorithm Design
  • Problem Solving Skills

Download program brochure

"A breakthrough in machine learning will be worth ten microsoft's"~ Bill Gates
Mentor: Ajay Sir ( From Oracle with 14+ Industry Exp. )
Mentor: Rajnish Sir ( From ST Microclectronics with 15+ Industry Exp.)

Course summary

  Pre-Requisites Interest in Mathematics
  Start Date 21-Mar'20
  Timings 10:30 AM-12:30 PM
  Duration 6 Months
  Type Weekend Program
  Mentor Industry experts from Oracle, Google & ST
   Center Sec-62, Noida
Need More Information,Please Write to Us



Start Date

21-Mar-20 + 6 Months

End Date

10:30 AM-12:30 PM


6 Months




2 Hours

Each session





₹ 35,000 ₹ 31,500 inc. Taxes

*Offer valid till 15 Mar'20 11:59 PM

  • Payment Options


    A/C # 916020018356139 , IFSC Code : UTIB0001082
    Bank: Axis Bank | A/C Type: Current
    Send Transaction ID with Name & Phone at

  • Fee Refund Policy

    Course registration is FREE.
    Student need to deposit full fee within 3 days after taking the free demo classes to continue with the course.
    We ensure that you are satisfied with the demo class and want to continue with the program. When student deposit the full fee after the demo class, there will be no refund of any kind.
    Fee is neither refundable nor transferrable.

My Experience at IT Bodhi

Parul Pandey
Data Science Evangelist at
Contributor at IT Bodhi, Analytics Vidya, DataCamp

The ML class undoubtedly was a perfect combination of knowledge, creativity and engaging course work. The course was precisely curated to make the complex points appear simpler. Assignments were intriguing. I was particularly impressed with the practical use of the material presented. The fact that almost everyone has the same feedback as mine proves just how powerful and influencing the course was. Thanks for guiding 'Naive' people like me and clearing our 'Biases' and 'Variances' towards ML and starting my journey in to ML world.

Rama Shankar Shrivastava
Manager at Bennett, Coleman & Co. Ltd.

I selected IT Bodhi after detailed research online and it came out to be a great decision to join IT Bodhi. I had an exceptional experience with IT Bodhi Classes. Commendable faculty that motivated me every time to be a smart learner. Super eminent class & environment.

Rabindra Pal
B.Tech NIT Bhopal

I love learning new technologies and contributing my share to change the world in a better way. AI & Machine Learning always thrilled me and I decided to understand how Data Science/Machine Learning can help core industries in innovation. I started my journey with IT Bodhi with no prior knowledge. Starting was difficult but interesting. I am still learning and getting more and more excited with new things. Mentors Ajay and Rajnish together are excellent combination of specialists in delivering quality lectures under extremely friendly environment.

Kuldeep Arya
ML Engineer at Devnagri

I am a Mechanical engineer and wanted to change my domain to ML/Data Science. Initailly learning 'Machine learing' and getting a job in this domian was a distant dream for me. Faculty at IT Bodhi are great mentors and in just 6 months I was able to learn Machine Learning and crack ML job interviews. Great environmnent of learning and support at IT Bodhi. This course is great for anyone who wants to make a career in ML or data science. I highly recommend IT BODHI.

Frequently Asked Questions

  • How much time will it take to become a Data Scientist?

    Data Science is all about passion and patience and It normally takes 6-8 months (daily 1-2 hours efforts minimum ) to learn all the data science concepts, algorithms and their applications. But at the same time you need to put regular efforts and complete all the projects and assignments on time to expedite the learning process. After completing this course, it is advised to take 1-2 months for self-learning and interviews preparation. Afterwards you are ready to apply Data Science Profile jobs as per your expereince level.

  • I am an industry professional with 10+ years of experience. Would this program help me to change the domain?

    Yes definitely. This is the right program for you to switch to Data Science/ML domain. Data science projects and solutions are not specific to any domain but its' applications are getting implemented everywhere. Having 10+ experience in a domain is actually very preferable for any ML/DS position because you are the right person to engage with client, understand customer problem/business data and applying all your domain knowledge to execute and implement data collection, data preprocessing and end-end solution in a rapid manner.

  • How to align current experience with Data Science learning?

    This is the RIGHT questions to ask. Competing data science certification program at IT Bodhi is very much sufficient for entry level professionals 0-4 years to get very good job offer as machine learning engineer. But when you have experience 4+ then you have to put extra efforts to align your current experience with new data science learning and justifying your candidature in interview to grab position as ML Architect, Data Scientist, Data Science Project Manager etc. This is where end-to-end domain specific Industry project implementation comes in to the picture under guidance of IT Bodhi mentors. Successful implementation is guarantee of cracking job interviews. It requires dedicated and disciplined efforts to complete project in stipulated time duration.

  • How to crack Machine Learning job interviews?

    Strong data science fundamentals , Deep understanding of algorithms and applications. E2E Industry project completion is necessary to make sure you crack job interviews becuase this project will help you to show case your learning and its business application in real time. Also Resume Preparation, Interview Strategy and Interviews FAQs will be shared and discussed in the program.

  • I am from Non IT/CS background with NO or little knowledge of programming, Am I eligible for this program and will it help me to get job in Data Science?

    Yes, definitely. After doing our courses, you will have sufficient theoretical knowledge to take data science interviews with hands-on experience in E2E industry project. Python is part of the program and Mentor will help you in learning programming basics and gradually you will be proficient in python as course progress. Python is very user friendly language and can be easily learned.

  • Is any specific programming language experience required?

    The Program will use Python libraries. The necessary python skills can be easily picked up by anyone with programming experience in any language. Tutorial introduction to the Python language will be organized by Mentor and that is part of the program. Learning material on Python for self-study will also be made available.

  • What is the surety that after course training I would be able to get a better job offer in Data Science?

    Industry is aggressively looking for Data science resources in a big number.E2E Industry project and strong fundamentals with dedicated efforts are surety to get job offer in ML/DS.

  • Do I need to bring my own laptop?

    Yes, You have to bring your laptops. Exercises will be on a cloud based platform.

  • Would I be given certificate for the program?

    Yes, Certificate will be given at the end of the program.

  • What happens if I miss a class?

    It is recommended that you do not miss a class. In case it is unavoidable we will try to conduct special session or cover in other batch.