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Nilesh Devdas

CTO/CHIEF TECHNOLOGIST - Vinsys,
Sun Certified JAVA Programmer, IBM Certified System Administrator, TIBCO Certified Professional Telecom. Architecture/Infrastructure Design,Broad expertise in IT, Network & Full Project Life Cycle ManagementMore Details

Comprehensive guide to Data Science for beginners

Day 1 Session 1 10:00 AM – 11:30 AM
1. Introduction: What is Data Science?
  • Big Data and Data Science hype – and getting past the hype
  • Why now? – Datafication
  • Current landscape of perspectives
  • Skill sets needed
2. Statistical Inference
  • Populations and samples
  • Statistical modeling, probability distributions, fitting a model
  • Intro to R
3. Exploratory Data Analysis and the Data Science Process
  • Basic tools (plots, graphs and summary statistics) of EDA
  • Philosophy of EDA
  • The Data Science Process
  • Case Study: RealDirect (online real estate firm)
Day 1 Session 2 11:45 AM – 1:00 PM
4. Three Basic Machine Learning Algorithms
  • Linear Regression
  • k-Nearest Neighbors (k-NN)
  • k-means
5. One More Machine Learning Algorithm and Usage in Applications
  • Motivating application: Filtering Spam
  • Why Linear Regression and k-NN are poor choices for Filtering Spam
  • Naive Bayes and why it works for Filtering Spam
  • Data Wrangling: APIs and other tools for scrapping the Web
6. Feature Generation and Feature Selection (Extracting Meaning From Data)
  • Motivating application: user (customer) retention
  • Feature Generation (brainstorming, role of domain expertise, and place for imagination)
  • Feature Selection algorithms
  • Filters; Wrappers; Decision Trees; Random Forests
Day 1 Session 3 1:45 PM – 3:15 PM
7. Recommendation Systems: Building a User-Facing Data Product
  • Algorithmic ingredients of a Recommendation Engine
  • Dimensionality Reduction
  • Singular Value Decomposition
  • Principal Component Analysis
  • - Exercise: build your own recommendation system
8. Mining Social-Network Graphs
  • Social networks as graphs
  • Clustering of graphs
  • Direct discovery of communities in graphs
  • Partitioning of graphs
  • Neighborhood properties in graphs
Day 1 Session 4 3:30 PM – 5:00 PM
9. Data Visualization
  • Basic principles, ideas and tools for data visualization
  • Examples of inspiring (industry) projects
  • Exercise: create your own visualization of a complex dataset
10. Data Science and Ethical Issues
  • Discussions on privacy, security, ethics
  • A look back at Data Science
  • Next-generation data scientists
Program Information
  • Date :
    03 February 2018
  • Time :
    10 am - 5 pm
  • Duration :
    8 Hours (Daylong)
  • Registration last Date :
    30 January 2018

Registration Fees
  • For Professionals :
    BDT 2000
  • For Full Time Students :
    BDT 1500
Register before 25 Jan & Get 10% Early Bird discount

Venue

Bangladesh Computer Samity

House # 33/B
(Ground floor & 2nd floor)

Road # 04, Dhanmondi R/A
Dhaka-1205

Payment Method
01713493241

OR (CASH)
BSDI Office (H#2B, R#12, Mirpur Road, Dhanmondi, Dhaka or Cheque in name of Bangladesh Skill Development Institute

Resource Person

Nilesh Devdas,
Vinsys ,India


Sun Certified JAVA Programmer, IBM Certified System Administrator, TIBCO Certified Professional Telecom. Architecture/Infrastructure Design, Network & Full Project Life Cycle Management