Visualisation with R-Shiny

BY
DataMites

Explore data visualisation while learning R shiny’s key features by enrolling in the Visualisation with R-Shiny online programme by Datamites.

Mode

Online

Duration

3 Months

Fees

₹ 30345 36000

Quick Facts

particular details
Medium of instructions English
Mode of learning Self study, Virtual Classroom +1 more
Mode of Delivery Video and Text Based

Course overview

R-shiny is an open-source, full-featured data visualisation tool for interactive visualisations. Datamites’ Visualisation with R-Shiny course is a 3-month programme designed to teach you data visualisation basics through the R Shiny package. You will explore the essential characteristics of R-shiny in creating impressive visualisations. 

During the Visualisation with R-Shiny online course by Datamites, you will learn how to create interactive visualisations, sort data, focus on specific areas, set filters, and more. The curriculum emphasises hands-on techniques to learn R-shiny.

Throughout the Visualisation with R-Shiny certification course, you will study through various materials, including cheat sheets, videos, data sets, project work, etc. You will also receive material regarding job interviews, job updates, and Data Science newsletters.

Visualisation with R-Shiny training can be pursued in three different modes – Blended, Classroom, and Live Virtual learning. You will also have the opportunity to receive the International Association of Business Analytics Certification (IABAC)’s e-certification.

The highlights

  • Specialised syllabus
  • An offering of Datamites
  • Career mentoring sessions
  • Placement assistance
  • E-certificate
  • Accredited by IABAC
  • Expert instructors
  • Placement assistance
  • 3-month curriculum
  • Flexible programme modes
  • Data Science cloud lab access
  • Case studies and capstones
  • Hands-on projects

Program offerings

  • Cloud lab access
  • Iabac global certification
  • 1 client project
  • 3-months training
  • Job assistance
  • 5 capstone projects
  • 24/7 support
  • Advanced curriculum
  • Case studies
  • Career guidance

Course and certificate fees

Fees information
₹ 30,345  ₹36,000
  • The classroom mode for the Visualisation with R-Shiny program will cost you Rs.29,623.
  • The live virtual learning mode has a course fee of Rs. 18,348.
  • If you opt for the blended learning format, then you must pay Rs. 10,148 as the course fee.

Visualisation with R-Shiny fee structure

Course option

Fee in INR

Visualisation with R-Shiny (Live virtual)

Rs. 36000

Visualisation with R-Shiny (Blended learning)

Rs. 22000

Visualisation with R-Shiny (Classroom)

Rs. 45000

certificate availability

Yes

certificate providing authority

IABAC

Who it is for

Any individual interested in Data Science can enroll in the Visualisation with R-Shiny programme. It will be most helpful for:

Eligibility criteria

You must possess basic R programming skills to join the Visualisation with R-Shiny training. Also, general data visualisation skills can help you in better understanding the concepts. 

You need to pass the IABAC examination to become eligible for the Visualisation with R-Shiny certification.

What you will learn

Visualisation skills

Near the end of the Visualisation with R-Shiny syllabus, you will be adept in:

  • The key features of R-shiny
  • The fundamental concepts of visualisation
  • Creating interactive visualisations using R-shiny

The syllabus

R language basics

  • Installing R and R Studio
  • Creating Objects in R
  • Creating Arrays
  • Creating Data frames
  • Use of Structure
  • Dimensions
  • Loading CSV files
  • Foreign packages into R
  • Objects in R
  • Creating Data frames
  • Dimensions

Data manipulation with R

  • Data Manipulation with R
  • Sorting Data
  • Swapping Data
  • Cleaning Data with R
  • Combining to vectors in R
  • Loading vectors in R

Handling unstructured data

  • Converting unstructured to structured data
  • Usage of :
    • sub
    • Gsub
    • Regexpr
    • Gregexpr
    • Apply
    • lapply

Visualisation with R

  • Usage of
    • Plot, lines, boxplot, stars,
    • barplot, pie, hist, rug, sunflowerplot,
  • Various parameters of histograms
  • tabplot, ggplot2, maptools
  • Extracting data from URLs

Admission details

Step 1 – Head over to the Visualisation with R-Shiny course webpage on the official site.

Step 2 – Click the ‘Enquire Now’ button. Enter all the required info in the pop-form and submit.

Step 3 – Now, a webpage with a ‘Thank You’ message will appear. Someone from the Datamites’ team will contact you on the further enrolment process of the Visualisation with the R-Shiny programme.


Filling the form

You only need to provide your email ID, name, contact number, and company name in the inquiry form on the Visualisation with R-Shiny course page.

Evaluation process

You can attempt the instantly-graded exam for the Visualisation with R-Shiny certification programme at the exam.iabac.org portal. The results shall be displayed immediately.

How it helps

The Visualisation with R-Shiny programme covers the most popular deep learning algorithms, where you’ll also learn about their applications through five case studies. The training also includes real-world projects that arm you with job-ready skills.

The IABAC duly accredits the Visualisation with the R-Shiny course by Datamites. So, you can receive a globally recognised e-certificate after completing the training. This credential will open a wide range of job opportunities in multiple sectors.

FAQs

Is the Visualisation with R-Shiny course recognised globally?

The course has an IABAC certification with global recognition. 

How do I validate my certificate?

You can validate your Visualisation with an R-Shiny certificate through a unique certification number by visiting the IABAC.org portal.

Do I have to pay the examination fee again?

No, the Visualisation with R-Shiny fee includes the exam fee as well.

Where to call if I have any further questions regarding the Visualisation with R-Shiny course?

You can place a call at +91 1800 313 3434 to contact Datamites.

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