R Programming

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En el habitual mensaje sabatino, publicado en Twitter, Trump aseguró que el proyecto sanitario que “se abre paso en el Congreso” reducirá el déficit f

En el habitual mensaje sabatino, publicado en Twitter, Trump aseguró que el proyecto sanitario que “se abre paso en el Congreso” reducirá el déficit f

  • En el habitual mensaje sabatino, publicado en Twitter, Trump aseguró que el proyecto sanitario que “se abre paso en el Congreso” reducirá el déficit f
  • En el habitual mensaje sabatino, publicado en Twitter, Trump aseguró que el proyecto sanitario que “se abre paso en el Congreso” reducirá el déficit f
  • En el habitual mensaje sabatino, publicado en Twitter, Trump aseguró que el proyecto sanitario que “se abre paso en el Congreso” reducirá el déficit f
  • En el habitual mensaje sabatino, publicado en Twitter, Trump aseguró que el proyecto sanitario que “se abre paso en el Congreso” reducirá el déficit f
  • En el habitual mensaje sabatino, publicado en Twitter, Trump aseguró que el proyecto sanitario que “se abre paso en el Congreso” reducirá el déficit f
  • En el habitual mensaje sabatino, publicado en Twitter, Trump aseguró que el proyecto sanitario que “se abre paso en el Congreso” reducirá el déficit f
  • En el habitual mensaje sabatino, publicado en Twitter, Trump aseguró que el proyecto sanitario que “se abre paso en el Congreso” reducirá el déficit f

Course Indication

Highlight

En el habitual mensaje sabatino, publicado en Twitter, Trump aseguró que el proyecto sanitario que “se abre paso en el Congreso” reducirá el déficit federal y será asequible y de calidad, “lo contrario de la gran mentira que era Obamacare”, la reforma sanitaria del expresidente Barack Obama. Si no lo sustituimos (Obamacare), la calamidad solo empeorará y quiero decir que empeorará mucho”, subrayó Trump.

Highlight2

En el habitual mensaje sabatino, publicado en Twitter, Trump aseguró que el proyecto sanitario que “se abre paso en el Congreso” reducirá el déficit federal y será asequible y de calidad, “lo contrario de la gran mentira que era Obamacare”, la reforma sanitaria del expresidente Barack Obama. Si no lo sustituimos (Obamacare), la calamidad solo empeorará y quiero decir que empeorará mucho”, subrayó Trump.

Course Stats

En el habitual mensaje sabatino, publicado en Twitter, Trump aseguró que el proyecto sanitario que “se abre paso en el Congreso” reducirá el déficit federal y será asequible y de calidad, “lo contrario de la gran mentira que era Obamacare”, la reforma sanitaria del expresidente Barack Obama. Si no lo sustituimos (Obamacare), la calamidad solo empeorará y quiero decir que empeorará mucho”, subrayó Trump.

Course Outcome

En el habitual mensaje sabatino, publicado en Twitter, Trump aseguró que el proyecto sanitario que “se abre paso en el Congreso” reducirá el déficit federal y será asequible y de calidad, “lo contrario de la gran mentira que era Obamacare”, la reforma sanitaria del expresidente Barack Obama. Si no lo sustituimos (Obamacare), la calamidad solo empeorará y quiero decir que empeorará mucho”, subrayó Trump.

Project Workout

A given set of data will be given to you the end of the course and you have to create a predictive model for the data using the concepts that you will learn in this course. This applies all the modules and will be a quick revision of everything. It is for the better of the student to complete this project and that too within the stipulated time.

Course Objectives

Basics of R programming language 
Creating predictive models using a given pool of data using the power of R
Integration of R language and Hadoop for data analytics.

Learn Why

Data Mining techniques are continually being improved through research. Data Mining is the method to grab data through various platforms, and techniques like distributed crawling techniques and algorithms, when improved can scrape data through multiple platforms efficiently. When a pool of random data is available to us, it is necessary to visualise the required data from it. This requires research to devise powerful algorithms which can achieve the result in the minimum time.
 

Pre-Requisites

Starting right from the basics of Data Science, the student requires no prior training in data science in order to pursue this course.

check schedule

  • 04 Sep-21 Sep
  • 08AM - 11AM EST
  • MonTueWedThuFri
  • 14 Session (3 Hours Each)
  • USD 499
    USD 599
  • 08 Jul-22 Jul
  • 09AM - 05PM EST
  • SatSun
  • 5 Session (8 Hours Each)
  • USD 499
    USD 599

En el habitual mensaje sabatino, publicado en Twitter, Trump aseguró que el Download Schedule

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Course Curriculum

Basics of Big Data

Data Science - A Brief Introduction
The various facets of a Data Scientist 
Analysis of Big Data using R and Hadoop
Various methods and tricks used or Data Analysis
The detailed architecture and numerous methodologies to solve problems in Big Data
Data Acquisition from relevant sources 
Data transformation employing the technique of Map Reduce (RMR)
Machine Leaning techniques and Data Visualisation- The applications in industry.
Data Science problems’ list that are to be solved during the course of the training program.

Introductory Data Manipulation using R language in Data Science.

This module helps us to learn how to make changes in data using R, and the various kinds of data conversion and methods of restructuring that the students will face during the initial stages of Data Analysis, while pursuing this course.
Critical Analysis of vectors in R
Data Reading
Concatenation of Data
Sub-setting data
How to sort the data and basic of data generating functions

Techniques in Machine Learning using the power of R- Part 1

The ultimate goal that we expect to achieve using Machine learning is a predictive system that is as much accurate as the correct model. Therefore, in this module we provide a concise overview of the importance of Machine Learning in Data Science training.
Synopsis of Machine Learning
Cases and Techniques commonly employed in Machine Learning
Clustering and Similarity Metrics
Methods of measuring distance: Euclidean and Cosine Measures, and construction of predictive models for the same

Techniques in Machine Learning using the power of R- Part 2

‘K’ means clustering, association rule mining and a lot of other advanced stuff in Machine Learning: this module covers it all!
Analysis of ‘K’ means clustering in Data Analytics
Analysis of TF-IDF and Cosine Similarity and Vector Space applications of the concepts 
Practical project to implement association rule using R and concepts of rule mining.

Introduction To Hadoop Architecture

This module covers advanced tools which include Hadoop architecture and also the various commands, SQOOP and various other data loading techniques associated with it.
Hadoop Architecture
Basic commands in Hadoop
MapReduce and Data loading techniques, using R language and also using Hadoop’s functionalities like SQOOP, FLUME and other handy techniques to load data.
Data anomaly removal tricks and techniques.

Hadoop and its integration with R

This module in the course gives us a deeper knowledge on how to integrate R with R and also that of R with Hadoop. We also explain how the integrated environment works and how to easily write MapReduce jobs.
Hadoop and R integration using concepts of R
Hadoop and RMR package
More about RHIPE (R Hadoop Integrated Programming Environment)
MapReduce jobs using R to write code and executed on the Hadoop platform.

Mahout in Data Science- A basic introduction and Algorithm Implementation

By the time you finish this module you will easily be able to write programs in Machine Learning using the Mahout platform, which is used on larger data sets.
Implementation of algorithms and building predictive models in Machine Learning on large data sets with the help of Apache Mahout
Parallel processing in the R language and complex algorithms in Mahout
Random Forest Classifier using the Parallel Processing Library in R is used in this module to build more efficient predictive models.
Application of parallel processing in R to built models based on Random Forest Classifier. 
 

R Programming Project

After the completion of the study course, this project aims at giving you a hands-on experience of how the algorithms work. You would be provided with what the project is, the various approaches to be used, the problem statement and the solving algorithms. 
Discussion of the project 
Analysis of the project using the problem statement 
Methods to approach while solving various Data Science problems
Approaches and algorithms- Pros and Cons

job role

En el habitual mensaje sabatino, publicado en Twitter

Data Scientist Data Analyst Data Architect Statistician Database Administrator Business Analyst Data and Analyst Manager

Salary report

En el habitual mensaje sabatino, publicado en Twitter

En el habitual mensaje sabatino, publicado en Twitter, Trump aseguró que el proyecto sanitario que “se abre paso en el Congreso” reducirá el déficit federal y será asequible y de calidad, “lo contrario de la gran mentira que era Obamacare”, la reforma sanitaria del expresidente Barack Obama. Si no lo sustituimos (Obamacare), la calamidad solo empeorará y quiero decir que empeorará mucho”, subrayó Trump.

Natural Language processing techniques (or NL techniques) are being used on Big Data

Big Data indispensable to population health management- A lot of factors like medical care, social and physical surroundings, genetics and behaviour have to be considered for population health management. Obtaining such a huge volume of data is difficult when done manually. Data analytics is being used to devise a population health program to bette the lives of more than 4 million individuals who have a Medigap plan.

job support

En el habitual mensaje sabatino, publicado en Twitter

More than ninety nine percent of the executives feel that big data is one of the most important strategies that will be followed in the future of data analysis. The enterprise data is expected to increase at a staggering rate of 240 exabytes per day by the end of just 2020! In such a case, the skills of a data scientist are more important than ever.

Certificates

Highlight

En el habitual mensaje sabatino, publicado en Twitter, Trump aseguró que el proyecto sanitario que “se abre paso en el Congreso” reducirá el déficit federal y será asequible y de calidad, “lo contrario de la gran mentira que era Obamacare”, la reforma sanitaria del expresidente Barack Obama. Si no lo sustituimos (Obamacare), la calamidad solo empeorará y quiero decir que empeorará mucho”, subrayó Trump.

faqs

How qualified are the trainers?

All our trainers have relevant experience, having provided real-time solutions on the queries based on their area of expertise for a considerable period of time. We follow a stringent screening policy of our teachers, with exhaustive interviews and thorough background checks. 

What can I do if I miss a class?

All the video lectures provided by us are recorded for further reference. You can simply login to your account and view them anytime you wish to.

How will the final project be executed?

Environment and Server access will be provided to you, and also a time limit as we expect a real time solution from you. This is done to improve your practical experience and also to think quickly. The project also provides an in-depth knowledge of the subject and is the best possible conclusion to the course.

How do I get a refund if I cancel my enrolment?

If you have already paid the fees or are enrolled in a class and want to cancel for the registration for any reason whatsoever, you should do it within 48 hours of the initial registration time. Any queries further that won't be acknowledged by us. The refunds will be processed within 30 days of your request, and will be transferred directly into your bank account.

Is there a project at the end?

The project is designed such that you have to finish a certain portion of the project based on what you learn. The integration of the project with the training makes learning easier.

Are the classes streamed online live?

Yes. The students can access the live streaming using our web portal after logging into their accounts. 

What approach do you follow for teaching data science? Are regular reviews taken?

We provide a comprehensive list of all the courses that are being offered by us, fulfilling the needs and demands of industry in an excellent manner. The tutors can connect with you online in real time, and are always eager to clear all your doubts and queries regarding the subject. The learning app offered to you is interactive, and will certainly evoke interest for the subject in you.

Are tests conducted regularly? Is it necessary to attend tests for the certification?

We provide you access to online study materials and ample tests, to revise and test your progress with us. The mock tests conducted by us are comparable in nature to the actual examinations and are definitely the stepping stones towards your goal. It is advisable to take all the tests, though it is not necessary. Only by looking at the tests we can measure your progress and suggest any improvements that you need to make on the areas where you are weak.

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