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Data Science at Kelly Technologies Institute





₹ 15,000   ( ₹ 18,000  | 15% Off)
# 164, 1st Floor, Marthahalli Main road, ,
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Kelly technologies is one among very few companies that offer Data Science training in Bangalore. Data administration and management being the biggest challenges of the information explosion happening these days, this data science course gets the deeper and yet knowledgeable course for the data analytics professionals. The course allows one to bring up their basic data base knowledge and make it apply to the more advanced level of data science which is a very much typically needed mindset for the current data analysis of IT field. Kelly Technologies is one of the leading companies that offers Data Science training in Bangalore.

Who should go for this course?

Kelly technologies is the one Data Science training Institute in Bangalore that offers good course support for the candidates throughout the course. With the increased demand for big data analytics with the future needs of the information technology, there is scope for every IT enthusiast to look into this newly growing field. More than programming, this field is all filled with the purpose of saving and troubleshooting the data. Kelly technologies is the one such a kind of Data Science training Institute in Bangalore offering online courses for following people:

  • Managers
  • Data analysts
  • Business analysts
  • Operators
  • Job Seekers
  • End users
  • Developers
  • Freshers/Graduates
  • IT professionals

Why learn Data Science?

Kelly technologies stands as best among the Data Science training Institutes in Bangalore. To manage whopping amount of the data, data scientists are needed who are the most enthusiastic people. These can handle large volumes of data and literally play with it, to give inferences and create spot trends upon the data. It is the undoubtedly emerging field in data analysis which has great link with the upcoming data software that are being prepared for the improvisation of data management.

What are the pre-requisites for this Course?

There are many Data Science training Institutes in Bangalore that offer courses in Data science, but this institute gives the best out of all existing institutes. To attend this highly evolved data science course, most of the Information technology professionals having analytical thinking are needed. Those who want to move from basic trending and analyzing till the typical analytical thinking about the data. People having the more quantitative skills, technical background complementarily can attend the course, as either of them have the need to fill their gaps of knowledge to move further.

How will I execute the Practicals?

To be able to execute one needs to get the latest server software installed in their systems which comes with most of the current using software to accommodate the software accordingly. Internet is needed for better support and help from the side of the software. Anyhow basic remote desktop support will be provided by our side to clear any doubts in the mind before going to actual real time execution of the Data science.

About The Course

Kelly technologies is one among very few companies that offer Data Science training in Bangalore. Data administration and management being the biggest challenges of the information explosion happening these days, this data science course gets the deeper and yet knowledgeable course for the data analytics professionals. The course allows one to bring up their basic data base knowledge and make it apply to the more advanced level of data science which is a very much typically needed mindset for the current data analysis of IT field. Kelly Technologies is one of the leading companies that offers Data Science training in Bangalore.

Course Objectives

The Course goes with the aim to understand key concepts about:

  • To know about the business intelligence and business analysis
  • To understand the descriptive statistics of Data analysis
  • To excel working with Tableau
  • To get introduced to R and data exploration to R
  • Understand to create Decision trees.
  • To understand Data collection and data mining
  • Know the importance of big data technologies
  • To get the prior idea about the Loop functions and debugging tools
  • To learn running non-parametric tests

Who should go for this course?

Kelly technologies is the one Data Science training Institute in Bangalore that offers good course support for the candidates throughout the course. With the increased demand for big data analytics with the future needs of the information technology, there is scope for every IT enthusiast to look into this newly growing field. More than programming, this field is all filled with the purpose of saving and troubleshooting the data. Kelly technologies is the one such a kind of Data Science training Institute in Bangalore offering online courses for following people:

  • Managers
  • Data analysts
  • Business analysts
  • Operators
  • Job Seekers
  • End users
  • Developers
  • Freshers/Graduates
  • IT professionals

Why learn Data Science?

Kelly technologies stands as best among the Data Science training Institutes in Bangalore. To manage whopping amount of the data, data scientists are needed who are the most enthusiastic people. These can handle large volumes of data and literally play with it, to give inferences and create spot trends upon the data. It is the undoubtedly emerging field in data analysis which has great link with the upcoming data software that are being prepared for the improvisation of data management.

What are the pre-requisites for this Course?

There are many Data Science training Institutes in Bangalore that offer courses in Data science, but this institute gives the best out of all existing institutes. To attend this highly evolved data science course, most of the Information technology professionals having analytical thinking are needed. Those who want to move from basic trending and analyzing till the typical analytical thinking about the data. People having the more quantitative skills, technical background complementarily can attend the course, as either of them have the need to fill their gaps of knowledge to move further.

How will I execute the Practicals?

To be able to execute one needs to get the latest server software installed in their systems which comes with most of the current using software to accommodate the software accordingly. Internet is needed for better support and help from the side of the software. Anyhow basic remote desktop support will be provided by our side to clear any doubts in the mind before going to actual real time execution of the Data science.

The Course goes with the aim to understand key concepts about:

  • To know about the business intelligence and business analysis
  • To understand the descriptive statistics of Data analysis
  • To excel working with Tableau
  • To get introduced to R and data exploration to R
  • Understand to create Decision trees.
  • To understand Data collection and data mining
  • Know the importance of big data technologies
  • To get the prior idea about the Loop functions and debugging tools
  • To learn running non-parametric tests

Module 1: Introduction

Topics covered on Introduction
  • Examples,
  • Data science articulated
  • History and context
  • Technology landscape

Module 2: Basic & Advanced Data Manipulation, Basic Graphs and Statistic, using R

Topics covered on R Programming
  • Manipulating dates and missing values
  • Understanding data type conversions
  • Creating and recoding variables
  • Selecting and dropping variables.
  • Mathematical and statistical functions
  • Character functions
  • Looping and conditional execution
  • User-written functions
  • Ways to aggregate and reshape data
  • Bar, box, and dot plots
  • Pie and fan charts
  • Histograms and kernel density plots
  • Descriptive statistics
  • Frequency and contingency tables
  • Correlations and covariances
  • t-tests
  • Nonparametric statistics

Module 3: Machine learning algorithm

Topics covered on Machine Learning Algorithm
  • Machine Learning Overview
  • ML Common Use Cases
  • Understanding Supervised
  • Unsupervised Learning Techniques

 

Supervised Learning


  • Classifying with k-Nearest Neighbors
  • Splitting datasets one feature at a time: decision trees
  • Classifying with probability theory: naïve Bayes
  • Logistic regression
  • Support vector machines

 

Unsupervised Learning


  • Grouping unlabeled items using k-means clustering

Module 4: Clustering, Classification and Recommendation

Clustering
  • Intro to clustering
  • Common Clustering Algorithms
  • K-means
  • Fuzzy K-means, Mean Shift etc.
  • Representing data
  • Feature Selection
  • Vectorization
  • Representing Vectors
Classification
  • Intro to classification
  • Examples
  • Basics
  • Common Algorithms
  • Mahout on Hadoop
  • Apache Mahout
  • Intro to Classification
  • Common Classification Algorithms
Recommendation Systems
  • Intro to recommendation systems
  • Content Based
  • Collaborative filtering
  • User based
  • Nearest N Users
  • Threshold
  • Item based
  • Mahout Optimizations
  • An overview of a recommendation platform
  • Distance & Similarity measures
  • Evaluating Recommendation engines – Online/ Offline

Module 5: Integration of R & HADOOP

Topics covered on R and hadoop
  • Hadoop – Architecture, Hive, Pig, Data Analysis
  • Integrating R with Hadoop using RHadoop and RMR package, Exploring RHIPE (R Hadoop Integrated Programming Environment), Writing Map Reduce Jobs in R and executing them on Hadoop.

Module 6: Analytics

Topics covered on Analytics
  • Basic statistical modeling, experiment design, introduction to machine learning, over fitting
  • Supervised learning: overview, simple nearest neighbor, decision trees/forests, regression
  • Unsupervised learning: k-means, multi-dimensional scaling
  • Graph Analytics: PageRank, community detection, recursive queries, iterative processing
  • Text Analytics: latent semantic analysis
  • Collaborative Filtering: slope-one

Module 7: Communicating Results

Topics covered on Communicating Results
  • Visualization, data products, visual data analytics
  • Provenance, privacy, ethics, governance

Module 8: Case Studies and Projects – Financial, Retail, Social Media etc..,

Case Studies and Projects
  • Project Discussion, Problem Statement and Analysis, Various approaches to solve a Data Science Problem, Pros and Cons of different approaches and algorithms
Good Course
  • Content
  • Instructor
  • Institute

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Kelly technologies Data Science bangaloreKelly technologies Data Science bangalore
Price: ₹ 15,000
Start-End Dates: 22 Oct 16 - 21 Nov 16
Course Duration: 30 days
Discount: 25%
Instructional Level: Appropriate for All
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Reading Material
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+91 784 800 6789
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