Data Science Training

1
Advanced Certificate Course in Practical Data
Science
Powered by
Inc. USA
100 days fast track training program to
accelerate your career in Data Science World.
Learn PRACTICAL DATA SCIENCE Become Employable
100 Days Class Room l Online l Instructor
-Led Intensive Coaching Batches Weekdays 10am
- 6pm Weekends 10am - 4pm
Colaberry is a proven leader in data science
training and consulting world in the USA.
Colaberry has transformed the lives of 4000
professionals in the USA to achieve their career
goals in data analytics. For the first time
Colaberry is coming to India with a Practical
approach to data science training. Colaberry has
created a unique model which is a combination of
Harvard Case" method with "Learn by doing"
approach that transforms the way students learn
Data Science.
Collaboration with
The program starts with a problem statement where
students will be taught how to address the
problem and find a right solution for it. In the
process students are encouraged to learn the
concepts as well as apply them to the real-world
problems.
2
About the Program and the Approach
In todays world. Data has become the most
valuable commodity and there is ever increasing
demand for Data Practitioners across all
Industries to be equipped with tools and skills
set to mine, refine and take actionable insights.
This data Science program has been designed by a
group of industry leaders and experts to help
both businesses and individuals put Data Science
into practice. Lets take a deep dive into the
world of Data Science and transform from learner
to doer. Ram Mohan Serial Entrepreneur,
Infogrex-Colaberry India Initiative. As we enter
the 4th industrial revolution, our Learn by
Doing programs and "AI driven" platforms will
empower millions of youth to pursue highly
lucrative careers in the areas of data science,
machine learning, deep learning, computer vision
and artificial intelligence.
Standard Approach High-touch instructor driven
learning process which involves lectures,
readings, tests etc.
Our approach Hands on coding with
experimentation.
Ram Dhan Yadav CEO - Colaberry, USA.
National Training Laboratories, Bethel, Maine.
As a Co-founder of Colaberry and Initiator of
Data Analytics training programs in USA, We were
very successful in creating unique pedagogical
Teaching methods that transformed 4000
professional lives in USA. My dream is to bring
similar teaching experience and success to the
Indian students and IT professional
fraternity. Anand Dasari Co-founder, Colaberry,
USA.
Colaberry Team
Paul Bilodeau Founder CEO at Filtered,
Colaberry School of Data Analytics, North-Eastern
University, Boston,
Tommy Haugh Delivery Manager _at_ Colaberry
Colaberry School of Data Analytics, Bentley
University, Boston,
John McBride Vice-President of Sales Colaberry
Inc., Boston University, Boston, Massachusetts,
USA.
Abigail Jones Business Development Manager
Colaberry Inc., Boston, Massachusetts, USA.
3
Regression models in Machine Learning Supervised
Models Cross Validation and K-fold CV Linear
Regression I - II Bias variance trade off More on
Gradient Descent - Learning rate Polynomial
Regression Generalized regression models
Regularization Logistic regression
The Process of Data Science
What is Data Science ? How to do Data Science ?
Python for Data Scientists Introduction to
Python. Introduction to Jupyter Notebooks. Data
Structures in python. Dealing with strings and
dates. Decision statements and loops. Libraries
and functions. Creating re-usable programs.
Support Vector Machines - SVR
Kernel tricks in SVMs and regularization
General Discussion about kernels - unsupervised
Gaussian kernel Decision trees for Regression
Bagging Random forests.
Computations with Numpy. Data Analysis with
Pandas. Data Visualization with Matplotlib.
Introduction to Stats Models (Pyth and Sklearn.
Classification models in Machine
Learning Classification - Logistic Regression
Multivariate Logistic Regression Naives Bayes
Classifier
on)
Decision trees and Random forests for
Segmentation and Sensitivity Ana Stochastic
Gradient Descent. Support Vector Machines - SVC.
Gradient Boosting and Xgboost.
Classification. lysis.
Data Handling 101 for Data Scientists What is
Data and Data formats. Relational Data. SQL in
Python.
Dealing with CSVs, TIFFs other file formats in
Python.
File i/o using Python. Data imports using
APIs. Web Scraping using Python.
Unsupervised models
Merging data from various sources.
Unsupervised Models Dimensionality Reduction -
PCA Single value decomposition K-means
Clustering DBScan Heirarchical Clustering
Data Cleaning.
Math Stats for Data Science Introduction to
set theory Introduction to linear algebra
Probability I Probability II
Introduction to Statistics Measures of central
tendency Outlier Analysis Distributions and
associated statistics Statistics
revisited Introduction to prediction models.
Hackathon Hackathon !!!
4
o

• Learn from Industry Experts and Renowned Faculty
• Advance Machine Learning Platform
  www.refactored.ai
• Collaborative Learning Environment -
  International and Global faculty.
• Real-time Case Studies and Internships.

Venkatraman Swaminathan, B.E., MS (USA), MBA
(Australia) ICT Professional and Faculty.
Dr. Vanga Srinivas Sr. Data Scientist.
Manikandan Sr.Data Scientist, Colaberry.
Open and Interactive Sessions by Guest Faculty
Anurag Garg Verisk Analytics / IIIT Seed Fund
Neil Gogte IT Guru / KMIT NGIT
Surya Puchala CEO, Zettamine
Anand. S Gramener
Prof. Hargopal Rao Visiting Professor, BITS,
Hyderabad.
Bhat Dittakavi Founder and CEO Variance.AI
Dr. Sanjeeva Rao, Ph.D., International
University of Contemporary Studies, USA.
Abhinandan Prateek Technocrat, IIT, Mumbai
Contact us 91 93474 12456 040- 6771
4400/4444 info_at_infogrex.com
Infogrex Technologies Private Ltd. Plot No. 12,
Second Floor, Silicon Valley, Image Gardens
Road, Hitech City, Madhapur, Hyderabad - 500 081
www.infogrex.com