Data Science Training

Advanced Certificate Course in Practical Data Science

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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.

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.

Collaboration with

About the Program and the Approach In today’s 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. Let’s 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 @ 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.

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.

Computations with Numpy.

Data Analysis with Pandas.

Data Visualization with Matplotlib.

Introduction to Stats Models (Python) and Sklearn.

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.

Merging data from various sources.

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.

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 Support Vector Machines - SVR Kernel tricks in SVMs and regularization General Discussion about kernels unsupervised Gaussian kernel Decision trees for Regression Bagging & Random forests.

Classification models in Machine Learning Classification - Logistic Regression Multivariate Logistic Regression Naives Bayes Classifier Decision trees and Random forests for Classification.

Segmentation and Sensitivity Analysis.

Stochastic Gradient Descent.

Support Vector Machines - SVC. Gradient Boosting and Xgboost.

Unsupervised models Unsupervised Models Dimensionality Reduction - PCA Single value decomposition K-means Clustering DBScan Heirarchical Clustering

Hackathon Hackathon !!!

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Learn from Industry Experts and Renowned Faculty l

Advance Machine Learning Platform www.refactored.ai

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Collaborative Learning Environment - International and Global faculty.

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Real-time Case Studies and Internships.

Venkatraman Swaminathan, B.E., MS (USA), MBA (Australia) ICT Professional and Faculty.

Dr. Vanga Srinivas

Manikandan

Sr. Data Scientist.

Sr.Data Scientist, Colaberry.

Open and Interactive Sessions by Guest Faculty

Anurag Garg

Verisk Analytics / IIIT Seed Fund

Prof. Hargopal Rao Visiting Professor, BITS, Hyderabad.

Neil Gogte

IT Guru / KMIT & NGIT

Abhinandan Prateek Technocrat, IIT, Mumbai

Infogrex Technologies Private Ltd. Plot No. 12, Second Floor, Silicon Valley, Image Gardens Road, Hitech City, Madhapur, Hyderabad - 500 081 www.infogrex.com

Anand. S Gramener

Bhat Dittakavi Founder and CEO Variance.AI

Surya Puchala CEO, Zettamine

Dr. Sanjeeva Rao, Ph.D., International University of Contemporary Studies, USA.

Contact us +91 93474 12456 040- 6771 4400/4444 info@infogrex.com