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DATA SCIENCE FUNDAMENTALS BOOT-CAMP (2 DAYS)

Samrat Kulkarni & Pradeep Menon

Tuesday, December 20, 2016 at 8:30 AM - Wednesday, December 21, 2016 at 5:30 PM (SGT)

DATA SCIENCE FUNDAMENTALS BOOT-CAMP (2 DAYS)

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Ticket Type Sales End Price Fee Quantity
Regular Dec 18, 2016 $399.00 $0.00
Student   more info Dec 18, 2016 $199.00 $0.00

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Event Details

DATA SCIENCE FUNDAMENTALS BOOT-CAMP (2 DAYS)

Audience:

Business executives, professionals and new students who want a good understanding of the key basic principles of Data Science. The emphasis will be on the foundations and the concepts that underly data science techniques; so business executives can communicate with hard-core data scientists, and make effective business decisions. Students with degrees in a scientific discipline will also benefit from the boot-camp format to use as a refresher, before entering the marketplace. Many MOOCs on data science exist, but they focus primarily on tools/languages/libraries; and lack the personalized instructor-led learning experience.

At the end of two days, attendees will have a solid foundation & grounding in Data Science & Analytics.

 

Pre-requistes:

The bootcamp is structured such that it is generic and applicable to many verticals (finance, tech, insurance, healthcare etc.). It will be the most helpful to audience that have some programming & math experience. A PC/Laptop is required in class, and instructions will be sent in advance to install certain software packages such as R, RStudio & Azure ML accounts.

 

Content:

Fundamental concepts of different machine learning techniques will be presented in lecture format with hands-on work; use of real-world examples and case-studies. Students will be exposed to both R, and Azure ML (self-service predictive analytics tool) which, simplifies data analysis without requiring extensive coding.


Day - 1: Intro to Data Science - Foundations of Machine Learning

Key Topics :

  • Machine Learning basics -- Supervised & Unsupervised techniques, Model training/testing process & computation of key metrics (namely, AUC/ROC/Confusion Matrix, Bias & Variance)
  • Regression (Gradient descent, Linear Regression & Logistic Regression)
  • Classification (Entropy, Tree based methods, Decision Trees, Random Forest, SVMs, Naive Bayes and Neural Networks)
  • Clustering (K-means, Hierarchical)

Day - 2: Hands-on exercises/ deep dive using R & Azure ML studio

Key Topics :

  • Data cleanup & Web scraping
  • Feature engineering techniques
  • Time-series analysis
  • Real-world use cases


Have questions about DATA SCIENCE FUNDAMENTALS BOOT-CAMP (2 DAYS)? Contact Samrat Kulkarni & Pradeep Menon

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When & Where


Enriche Learning
#17-03, International Plaza, 10 Anson Road
Singapore, 079903
Singapore

Tuesday, December 20, 2016 at 8:30 AM - Wednesday, December 21, 2016 at 5:30 PM (SGT)


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Organizer

Samrat Kulkarni & Pradeep Menon

Samrat Kulkarni

https://d9atvktwfns9m.cloudfront.net/public/U/56479/profile/user/d6aa586fbe922f052a48c3f3a6066cf59753e205/220x220.jpg

  • 15+ years analytics experience
  • Data Science Lead @Bell Labs, USA
  • MSEE@Purdue University, USA
  • Global Executive MS in Analytics @NYU Stern Business School, USA

 Pradeep Menon

  • 14+ years analytics experience 
  • Data Solutions Architect@Microsoft, Singapore
  • MBA@Strathclyde Business School, UK
  • Global Executive MS in Analytics @NYU Stern Business School, USA

 

 

 

 

 

 

 

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DATA SCIENCE FUNDAMENTALS BOOT-CAMP (2 DAYS)
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