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Business Data Analytics

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Business Data Analytics

After completion of this course, participant will be capable of Using R for analysing time series data, prepare various graphics and descriptive statistical tables, Build a statistical model for trading and research purpose, use them for further use using web based deployment and Increase the chance of getting a suitable job.

Target Audience

  • Data Scientists
  • Analytics professionals
  • Accounting professionals
  • Marketing Managers
  • Operations Managers
  • Participants from statistics background
  • Participants from mathematical background

Part - I Introduction to Data Science 

  • What is Data Science?
  • Evolution of Data Science
  • Various Data Science related profiles and applications
  • Machine Learning and AI in HFT

Part –II Machine Learning using R 

Section -A

      R - Programming Basics

  • Data Manipulation and Wrangling
  • Writing Functions
  • Graphics

      Statistics using R

  • Descriptive Statistics
  • Inferential Statistics
  • Linear Regression
  • Statistical Plots

Section – B

Machine Learning 

1. Supervised Learning - Key Methods and Techniques

  • Multiple Linear Regression & Polynomial Regression
  • Shrinkage Method for model improvements
  • Variable Reduction Techniques - PCA / PCR
  • R-Squared
  • Case Study - Using R
  • Logistics Regression
  • Shrinkage Method for model improvements
  • Variable Reduction Techniques - PCA / PCR
  • Model Accuracy - Precession vs Recall and Confusion Matrix
  • Case Study - Using R
  • Tree Based Methods
  • Pruning of Tree
  • Measuring r^2 in tree based methods
  • Gradient Boosting, Bagging and Ensemble Methods
  • Model Accuracy - Precession vs Recall and Confusion Matrix
  • Case Study - Classification - Using R
  • Case Study - Regression - Using R
  • Naïve Bias Algorithm
  • Case Study - Using R

Section – C

Time Series Modelling

  • Time Series Decomposition
  • Holt Winters smoothing
  • ARIMA Models
  • Case Study - using R

Part III Data Visualization

Data Visualization Using Tableau

  • Importing Data into Tableau
  • Creating Graphs
  • Creating Sets and Performing Custom Calculations in Tableau
  • Using R in Tableau
  • Creating Dashboard
  • Publish a Tableau Dashboard on web
  • Case Studies - 1
  • Case Studies – 2

 

Duration & Timing         : 8 Full days (4 Saturdays and Sundays: 10.00 am to 6.00 pm) 

Date                                : October 28 , 2017 onwards

                                          December 9 , 2017 onwards

Fees                                : 31,860/-(Inclusive of GST)

Location                         : 19th Floor, BSE Institute Ltd.  BSE Limited, P J Towers, Dalal Street, Mumbai - 400001, India

Participants attending the entire course shall be eligible to receive Participation Certificate 

For any queries call: 1800 22 9030

Monday to Friday: 10 AM to 6 PM

Saturday: 10 AM to 4 PM

Email at: training@bseindia.com

 

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