Data Science Training

Before Starting Data Science Training we need to know the roles and responsibilities of Data scientists. Data scientists are often working for generate a questions. This bring out turning a unknown business or product problem into a data question, or get to know what questions one can ask about a solid dataset. A Data Scientist's pursuit is similar to that of a Data Analyst's to find actionable insights that are key growth to company and decision-making. However, a Data Scientist action part is needed when a company's data exceeds a certain level that requires advanced skills to work in such an unstructured data to identify queries and point out necessary information. One of the top notch skills, a Data Scientist also needs strong storytelling and visualization skills to share insights with peers across the company. Data Scientist responsibility are machine reaching, more advanced statistics, data cleaning and processing, data mining, predictive, running queries and find out questions, flourish prototypes, proof of concepts, algorithms, and custom analysis. Invent and build new data set processes for modeling, data mining, and production purposes. Determine new ways to improve data and search quality. For data analysis, R is a clear winner. Not only because of R is pointedly for statistical computing, but also because there are number of packages have been creating for each domain by statistician and publish in CRAN and GitHub. In addition, data scientists are expected to build tools like dashboard to automate their work to improve their efficiency time.
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154 Ratings
174 Learners
35 Hours
15 Hours
Big Data
365 Days
24 / 7 Support
Intermediate
Online Classroom
Attend our Instructor Led Online Virtual Classroom
USD 549 USD 349Enroll now
One to One Training
Get 1-to-1 Live Instructor Led Online Training in flexible timings
USD 749 USD 549Enroll now

About Course

This course gives you a clear understanding about work in big data analytical tool R and how to analyse big data. We are covering basics of Data mining, Machine learning, Hadoop in R, Statistics, Twitter API in R. In advanced we are helping to deep understanding of R Shiny (Web Application Framework). Gives perceive knowledge of clinical research in R

This course is taught hands-on, you learn by doing.

At end of this training, you will be able to,

  • Creating user defined package in R
  • Automation of any data and publish in R itself
  • Able to analyse big data
  • Competent to work in data mining, Machine learning and statistics

Data science Training will be suitable for,

  • Data Scientist
  • Data/Web analyst
  • Statisticians
  • Hadoop Professionals who want to learn R and ML techniques

This training will be happen for 20 hours. If you opt for weekend classes both Saturday and Sunday you will be having approximately 2 hours 30 mins in scheduled time of the batch you chose. If you opt of weekdays classes all Monday to Friday, you need to spend at-least 90mins.

Other Related Courses Are

Data Science Syllabus

Introduction to R

  • What is R?
  • Why R?
  • Installing R
  • R environment
  • How to get help in R
  • R Studio Overview

Understanding R data structure

  • Variables in R
  • Scalars
  • Vectors
  • Matrices
  • List
  • Data frames
  • Cbind,Rbind, attach and detach functions in R
  • Factors
  • Getting a subset of Data
  • Missing values
  • Converting between vector types

Importing data

  • Reading Tabular Data files
  • Reading CSV files
  • Importing data from excel
  • Loading and storing data with clipboard
  • Accessing database
  • Saving in R data
  • Loading R data objects
  • Writing data to file
  • Writing text and output from analyses to file

Manipulating Data

  • Selecting rows/observations
  • Rounding Number
  • Creating string from variable
  • Search and Replace a string or Number
  • Selecting columns/fields
  • Merging data
  • Relabeling the column names
  • Data sorting
  • Data aggregation
  • Finding and removing duplicate records

Using functions in R

  • Apply Function Family
  • Commonly used Mathematical Functions
  • Commonly used Summary Functions
  • Commonly used String Functions
  • User defined functions
  • local and global variable
  • Working with dates

R Programming

  • While loop
  • If loop
  • For loop
  • Arithmetic operations

Charts and Plots

  • Box plot
  • Histogram
  • Pie graph
  • Line chart
  • Scatterplot
  • Developing graphs
  • Cover all the current trending packages for Graphs

Machine Learning Algorithm:

  • Sentiment analysis with Machine learning
  • C 5.0
  • Support vector Machines
  • K Means
  • Random Forest
  • Naïve Bayes algorithm

Statistics:

  • Correlation
  • Linear Regression
  • Non Linear Regression
  • Predictive time series forecasting
  • K means clustering
  • P value
  • Find outlier
  • Neural Network
  • Error Measure

Leading Topics:

  • Overture of R Shiny
  • What is Hadoop
  • Integration of Hadoop in R
  • Data Mining using R
  • Clinical research preface in R
  • API in R (Twitter and Facebook)
  • Word Cloud in R

Upcoming Batches

Start Date End Date Time (EST) ( UTC -5) Day
24 Nov 2017 22 Dec 2017 (08:30 PM - 10:30 PM) Fri,Sat
25 Nov 2017 23 Dec 2017 (08:30 AM - 10:30 AM) Sat,Sun
27 Nov 2017 25 Dec 2017 (08:30 PM - 10:00 PM) Mon-Fri
28 Nov 2017 26 Dec 2017 (08:30 AM - 10:00 AM) Tue-Sat
27 Nov 2017 25 Dec 2017 (10:00 PM - 11:30 PM) Mon-Fri
28 Nov 2017 26 Dec 2017 (10:00 AM - 11:30 AM) Tue-Sat
01 Dec 2017 29 Dec 2017 (08:30 PM - 10:30 PM) Fri,Sat
02 Dec 2017 30 Dec 2017 (08:30 AM - 10:30 AM) Sat,Sun

Data Science Certification

At end of our course, you will be assigned to work a real-time project. Once you completed assigned project with expected results we (Experts Team from GangBoard) will verify and issue Data Science Certificate. If you are not able to deliver expected results in project we will support you by clarifying doubts and help you to re-attempt the project.

Data Science Training Reviews

FAQ

Comprehensive of required software will be publish in your LMS for installation. Our support team will help you to setup software if you need assistance. Hardware requirements need to be fulfilled by participants.

Perhaps it may happen . We will assist you by providing recorded session of what you missed in your LMS. If you deficit you can appear in live batches for that topics those you missed

Stupendous expert in analytics field who understands the learner constraints and bring out in technical as well as subject matter experts.

We offer this course in “Live Instructor-Led Online Training” mode. Through this way you won’t mess anything in your real-life schedule. You will be shared with live meeting access while your session starts.

 Don’t need any predecessor knowledge to get into R but aware of basic statistics is an added advantage.

Basically >2GB RAM will be fine for installing either LAMP stack or WAMP stack. Even if you have MAC there is MAMP stack available for free.

You can get a sample class recording to ensure you are in right place. We ensure you will be getting complete worth of your money by assigning a best instructor in that technology.

We are absolutely loved to talk in-person about group training (or) corporate training. So, please get in touch with our team through “Quick Enquiry”, “Live Chat” or “Request Call-back” channels.

Payments can be made using any of the following options and a receipt of the same will be issued to you automatically via email.

  1. Visa Debit Card / Credit Card
  2. American Express
  3. Master Card, Or
  4. PayPal

We are providing Data Science online training, One-to-One training with the help of experts. Our learners and trainers are frequently coming from different countries like USA, India, UK, Australia, New Zealand, Canada and UAE. To specify in cities London, Bangalore, California, New York, Pune, Mumbai, Chennai, New Delhi, San Francisco, New Jersey, Texas, Florida, Kolkata, Gurgaon, Berlin and Hyderabad among many.

You can reach us through +91-9791273737 / +91-9791237373. Or you can share your quires through enq@gangboard.com. Estimated turnaround time will be 24 hours for emails.

+91 - 755 008 0081
+91 - 755 008 0082

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GangBoard 5 Star Rating: Recommended 5 out of 5 based on 154 ratings.