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Data Science and Big Data Analytics Training in Singapore and India

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Original price Rs. 290,000.00
Original price Rs. 290,000.00 - Original price Rs. 290,000.00
Original price Rs. 290,000.00
Current price Rs. 225,000.00
Rs. 225,000.00 - Rs. 225,000.00
Current price Rs. 225,000.00
Data Science and Big Data Analytics Training by Cloud Enabled Pte Ltd in Singapore and India
Course Summary

In this course, you will gain practical foundation level training that enables immediate and effective participation in big data and other analytics projects. Learn ways of storing data that allow for efficient processing and analysis, and gain the skills you need to store, manage, process, and analyze massive amounts of unstructured data to create an appropriate data lake. Data science can be defined as a blend of mathematics, business acumen, tools, algorithms, and machine learning techniques, all of which help us in finding out the hidden insights or patterns from raw data which can be of major use in the formation of big business decisions

Course Objectives
  • Immediately participate as a data science team member
  • Work with large data sets and generate insights
  • Build predictive and classification models
  • Manage a data analytics project through the entire lifecycle
Course Pre- requisites
  • Strong quantitative background with a solid understanding of basic statistics, as would be found in a statistics 101 level course
  • Experience with a scripting language such as Java, Perl, or Python (or R). Many of the lab examples taught in the course use R (with an RStudio GUI), which is an open-source statistical tool and programming
  • Experience with SQL
Course Duration
  • 35 hours - 5 days
Course Outline

Introduction to Big Data analytics

  • Big Data and its characteristics Lesson
  • Business value from Big Data
  • Data scientist

Data Analytics Lifecycle

  • Data analytics lifecycle overview
  • Discovery phase
  • Data preparation phase
  • Model planning phase
  • Model building phase
  • Communicate results phase
  • Operationalize phase

Basic data analytics methods using R

  • Introduction to the R programming language
  • Analyzing and exploring data
  • Statistics for model building and evaluation

Advanced analytics theory and methods

  • Introduction to advanced analytics—theory, and methods
  • K-means clustering
  • Association rules
  • Linear regression
  • Logistic regression
  • Text analysis
  • Naïve Bayes
  • Decision trees
  • Time series analysis

Advanced analytics—technology and tools

  • Introduction to advanced analytics—technology and tools
  • Hadoop ecosystem
  • In-database analytics SQL essentials
  • Advanced SQL and MADlib

Putting it all together

  • Preparing to operationalize
  • Preparing project presentations
  • Data visualization techniques
  • Lab exercise on Data Big Analytics
  • Q & A
  • Closing Remarks
Training Delivery Mode

Online - Live Instructor Led training 

Due to Covid - we dont engage classroom training till situations are ok

Got Questions

Please email to and we will be happy to help

This course is designed , developed and delivered by Cloud Enabled Pte Ltd