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Our classroom based Data Science Excellence Program develops thorough understanding of Data Analytics, Machine Learning, AI and Predictive Modeling right from scratch. During your classroom sessions you gain hands-on proficiency in using the most popular and powerful tools used by Data Analysts such as R, Python and Tableau, that too with no pre-requisite of coding background. At the end of this course a Capstone Project helps you put your learning together to solve a real world analytics problem, and prepares you to apply for exciting job opportunities.

“DemandFor Data Scientists

will increase by 28% in 2020”

IBM

The2020 global

estimates calls for2.7 million job postingsfor data analytics and

data scienceroles

“AI will create 2.3 million

jobs in 2020” Gartner

COURSE DURATION: 4 + 2 MONTHSTHIS COURSE IS IDEAL FOR:Participants with Science, Technology, Engineering and Management background *

*Coding background is not a pre-requisite

FINAL YEAR GRADUATES FRESHERS WORKING PROFESSIONALSFINAL YEAR GRADUATES FRESHERS WORKING PROFESSIONALS

DATA SCIENCEEXCELLENCEPROGRAM

Copyright © of Edazon Technologies

1. CLASSROOM TRAINING :Learning in a classroom set-up always has its own merits.

2. MOST ADVANCED COURSE STRUCTURE:Learn Data Science using R, Python and Tableau.

3. PEDAGOGY:Every topic is covered using case studies and industry examples

4. EXPERT FACULTY:Trainers with more than a decade of industry experience.

5. JOB ASSISTANCE:Resume building sessions, mock interviews, mentorships &interview preparation.

Data Cleaning - Outlier treatment, missing value treatment, multicollinearity treatment

Data Visualization - Univariate, Bivariate and Multivariate visualization using

R PYTHON TABLEAU

Supervised Machine Learning - Linear Regression, Logistic Regression, Linear Discriminant

Analysis, CART, Random Forest, CHAID, KNN, Naïve Bayes’, Artificial Neural Networks,

Recurrent Neural Networks, Convolutional Neural Networks, Support Vector Machines using

both R and Python

Unsupervised Machine Learning - K-means Clustering, Hierarchical Clustering, Principal

Component Analysis, Factor Analysis

Model Performance Measures - Confusion Matrix, ROC, AUC, KS, Gini and Concordance

DATA SCIENCE EXCELLENCE PROGRAM

SALIENT FEATURES

WHAT YOU WILL LEARN IN THIS COURSE

COURSE CONTENT1. STATISTICS FOR DATA ANALYTICS

2. INTRODUCTION TO ANALYTICS

3. INTRODUCTION TO R

4. INTRODUCTION TO PYTHON

5. EXPLORATORY DATA ANALYSIS

6. MACHINE LEARNING: SUPERVISED LEARNING TECHNIQUES

7. MACHINE LEARNING: UNSUPERVISED LEARNING TECHNIQUES

8. DEEP LEARNING

9. TIME SERIES ANALYSIS

10. OPTIMIZATION TECHNIQUES

11. DATA VISUALIZATION USING TABLEAU

12. CAPSTONE PROJECT

Copyright © of Edazon Technologies

Edazon is a premium capability building academy. Our core team comprises of professionals with decades of experience in delivering performance excellence for some of the most reputed global corporations. We have understood that knowledge and skill deliver the best returns only when these are applied at the right time. Therefore, we offer cutting-edge courses into emerging fields such as Data Analytics, Machine Learning and AI. All our courses are well-knitted with ample hands on exposure to transform you from a beginner to an industry ready professional.

DATA SCIENCE EXCELLENCE PROGRAM

ABOUT EDAZON:

REACH US AT:

India Address:Edazon Technologies,SPACES, Piccadily Square Mall, First Floor, Sector 34 A, Chandigarh, 160022, IndiaCall: +91 98765 53336

CHANDIGARH KOLKATA BENGALURUDELHI

US AddressEdazon Technologies,539 W. Commerce Suite # 1051, Dallas TX 75208,United States of AmericaCall: +1 (214) 556-3336

www.edazon.com info@edazon.com

Edazon trained participants work for some of the best organizations,below is a glimpse: