VISUALZATION WITH R SHINY CERTIFICATION AUTHORITIES

VISUALZATION WITH R SHINY COURSE FEATURES

R PROGRAMMING LEAD MENTORS

VISUALZATION WITH R SHINY COURSE FEE

Live Virtual

Instructor Led Live Online

590
492

  • IABAC®  Global Certification
  • 3-Month
  • 5 Capstone & 1 Client Project
  • 365 Days Flexi Pass + Cloud Lab
  • Internship + Job Assistance

Blended Learning

Self Learning + Live Mentoring

360
219

  • Self Learning + Live Mentoring
  • IABAC®  Global Certification
  • 1 Year Access To Elearning
  • 5 Capstone & 1 Client Project
  • Job Assistance
  • 24*7 Learner assistance and support

Corporate Training

Customize Your Training


  • Instructor-Led & Self-Paced training
  • Customized Learning Options
  • Industry Expert Trainers
  • Case Study Approach
  • Enterprise Grade Learning
  • 24*7 Cloud Lab

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BEST VISUALZATION WITH R SHINY CERTIFICATIONS

The entire training includes real-world projects and highly valuable case studies.

IABAC® certification provides global recognition of the relevant skills, thereby opening opportunities across the world.

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WHY DATAMITES INSTITUTE FOR VISUAL ANALYTICS COURSE

Why DataMites Infographic

SYLLABUS OF VISUALZATION WITH R SHINY COURSE

  • 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
  • Data Manipulation with R
  • Sorting Data
  • Swapping Data
  • Cleaning Data with R
  • Combining to vectors in R
  • Loading vectors in R
  • Converting unstructured to structured data
  • usage of :
    • sub
    • Gsub
    • Regexpr
    • Gregexpr
    • Apply
    • lapply
  • Usage of
    • Plot, lines, boxplot, stars,
    • barplot, pie, hist, rug, sunflowerplot,
  • Various parameters of histograms
  • tabplot, ggplot2, maptools
  • extracting data from URLs

OFFERED VISUALZATION WITH R SHINY TRAINING COURSES

VISUALZATION WITH R SHINY CAREER SUCCESS STORIES

VISUALZATION WITH R SHINY COURSE REVIEWS

ABOUT VISUALZATION WITH R SHINY TRAINING COURSE

R shiny is data visualization software that creates interactive visualization; where users can set filters, focus on specific areas, sort data and many more. R-Shiny has become a popular tool for interactive data visualization. This course is designed assuming no prior R-shiny knowledge, with an emphasis on hands-on learning to master R-Shiny. It covers key features of R-shiny in creating interactive visualizations, along with data visualization basics so that you can generate impressively visualizations.

ABOUT DATAMITES VISUALZATION WITH R SHINY COURSE

R shiny is a data visualization software that create interactive visualization, where users can set filters, focus on specific areas , sort data and many more. R-Shiny has become a popular tools for interactive data visualization. This course is designed assuming no prior R-shiny knowlege, with an emphasis on hands on learning to master R-Shiny.

This course covers key features of R-shiny in creating interactive visualizations, along with data visualization basics so that you can generate a impressively visualizations.

  • Introduce Visualization basics
  • Learning key features of R-Shiny
  • Basic R language programming skills are required.
  • General Data visualization skills are recommended

Data Visualization is very crucial in data science as the insights are derived from it. R-shiny shines in this space as it is a full feature data visualization tool, which is open-source. Many organizations are adapting R-Shiny and there is a high demand for R-shiny specialists in the market.

Everybody interested in visualization and data science can opt for this course..

 

  • Business Analysts
  • Data Scientists

This course covers most of the popular deep learning algorithms along with the application on a case study. This course will help you build an AI career in an effective manner.

At DataMites™, we truly believe and very excited about this big wave of Data Science. DataMites™ work with globally renowned Machine Learning experts in designing as well delivering training course.We also deliver Articifial Intelligence consulting project to our European clients.

DataMites is founded by a group of passionate Data Science evangelists with decades of experience in Analytics, big data and Data Science working with fortune 100 companies, across the globe. The mission of DataMites™ is enable data science professionals with strong data science skills aligned market requirements and be a part of this phenominal Data Science era.

 

  • PASSIONATE: We are passionate in enabling professionals with best practice Data Science skills
  • ACCREDITED: DataMites™ is accredited with "International Association of Bussiness Analytics Certifications (IABAC™)", aligning the syllabus with global market requirements
  • HANDS ON PROJECTS : On course completion, worthy candidates are involved in consulting assignments at building block levels to provide real-time exposure, thus supporting them to gain confidence to work in real world Data Science projects
  • JOB ASSISTANCE: A dedicated team , Placement Assistance Team (PAT), is tasked to assist candidates in preparing for the first Data Science job and mapping the job requirements to individual candidate profile.
  • FLEXIBLE LEARNING: DataMites™ provides flexible learning options from traditional classroom to Virtual classroom, Instructor led online and self learning.
  • LIBRARY: A Data Science library with collection of valuable Data Science books and publications, assisted check-in/check-out options.
  • DATA SCIENCE LAB: Access to Cloud Data Science lab with popular platforms, R, Python, Tensorflow etc.,
  • FRIENDLY STAFF: A friendly staff and dedicated counsellor, who are trained

R programming is a language and environment for statistical computing and graphics, widely used for data analysis and statistical modeling. It provides a wide range of statistical and graphical techniques and is highly extensible through packages.

Skills in R programming include data manipulation, statistical analysis, data visualization, machine learning, and programming techniques.

Common tools used in R programming include RStudio (an integrated development environment), Shiny (for creating interactive web applications), and various packages for specific tasks like ggplot2 for data visualization and dplyr for data manipulation.

The ease of learning R programming depends on an individual's background and prior programming experience. While it has a steep learning curve for beginners, its syntax and extensive community support make it accessible and powerful for data analysis and statistical tasks.

The purpose of learning R programming is to enable professionals to effectively analyze and interpret data, perform statistical modeling, create data visualizations, and build machine learning models, making it a valuable skill for data scientists, statisticians, and researchers.

R programming functions provide a wide range of capabilities, including data manipulation, statistical analysis, data visualization, machine learning algorithms, and integration with other programming languages.

he future of R programming looks promising as it continues to evolve with new packages and advancements in data science. Its extensive community support, growing ecosystem, and integration with other languages like Python contribute to its longevity and relevance in the data science field.

R programming offers numerous career opportunities in data science, statistical analysis, research, and academia. With the increasing demand for professionals skilled in data analysis and statistical modeling, a career in R programming can be rewarding for those interested in the field.

There are several resources available for learning R programming, including online tutorials, books, and interactive courses. Some popular options include RStudio's online learning resources, "R for Data Science" by Hadley Wickham and Garrett Grolemund, and the "Coursera: R Programming" course.

The salary of a R programmer in India ranges from INR 14,350 month according to a Glassdoor report.

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FAQ’S OF VISUALZATION WITH R SHINY TRAINING COURSE

DataMites™ provide flexible learning options from traditional classroom training, lastest virtual live classroom to distance course. Based on your location preference, you may have one or more learning options

This course is perfectly aligned to the current industry requirements and gives exposure to all latest techniques and tools. The course curriculum is designed by specialists in this field and monitored improved by industry practitioners on continual basis.

All certificates can be validated with your unique certification number at IABAC.org portal. You also get candidate login at exam.iabac.org , where can find your test results and other relevant validation details.

The results of the Exam are immediate, if you take online test at exam.iabac.org portal. The certificate issuance, as per IABAC™ terms, takes about 7-10 bussiness days for e-certificate.

No, the exam fees are already included in the course fee and you will not be charged extra.

Course fee needs to be paid in one payment as it is required to block your seat for the entire course as well as book the certification exams with IABAC™. In case, if you have any specific constrains, your relation manager at DataMites™ shall assist you with part payment agreements

DataMites™ has a dedicated Placement Assistance Team(PAT), who work with candidates on individual basis in assisting for right Data Science job.

You get 100% refund training fee if you the training is not to your satisfaction but the exam fee will not be refunded as we pay to accreditation bodies. If the refund is due to your availability concerns, you may need to talk to the relationship manager and will be sorted out on case to case basis

DataMites™ provides loads of study materials, cheat sheets, data sets, videos so that you can learn and practice extensively. Along with study materials, you will get materials on job interviews, new letters with latest information on Data Science as well as job updates.

There are several reasons to choose DataMites for Visualization with R-Shiny course. Firstly, DataMites offers comprehensive training with a focus on practical implementation, ensuring that participants gain hands-on experience. Secondly, their trainers are experienced industry professionals who provide in-depth knowledge and real-world insights. Thirdly, DataMites provides extensive support, including access to learning resources and post-training assistance.

Yes, there are prerequisites for the Visualization with R-Shiny training from DataMites. Participants are expected to have a good understanding of R programming language and its syntax. Familiarity with data manipulation and visualization concepts is also recommended. Prior knowledge of Shiny, a web application framework in R, would be an added advantage.

The duration of the course spans over 3 month that provides 5 capstone and 1 client project along with 1 year access to Elearning.

Many training programs offer a certificate of completion upon finishing the course. This is a recognition that you have successfully completed the training and gained the necessary skills. However, it is best to check with DataMites directly to confirm if they provide certificates for the Visualization with R-Shiny training.

The specific projects and exercises included in the training program will vary depending on the curriculum designed by DataMites. In general, you can expect a combination of hands-on exercises, real-world projects, and assignments that will help you apply the concepts learned during the training. 

Some training providers offer post-training support or additional resources to help participants further enhance their skills. These may include access to discussion forums, online communities, recorded sessions, or additional learning materials. To determine if DataMites provides post-training support or resources, it would be best to check their website or contact their support team.

To enroll in the Visualization with R-Shiny training program offered by DataMites, you can follow these general steps:

  1. Visit the DataMites website or search for the specific training program.
  2. Look for the enrollment or registration section on their website.
  3. Fill out the necessary details, such as your personal information, contact details, and any prerequisites they may require.
  4. Review the course fee, payment options, and refund policy.
  5. If required, make the payment to secure your seat in the training program.
  6. Attend the training sessions as per the schedule provided by DataMites.

The mode of Payment are- 

  • Net Banking
  • Check
  • Cash
  • Debit Card
  • Credit Card
  • PayPal
  • Visa
  • Master card
  • American Express

The Flexi-Pass offered by DataMites for R programming Training grants you a three-month duration to attend sessions and avail assistance for any inquiries or revisions requiring clarification.

A complimentary demo class will be provided to give you a concise overview of the training methodology and what it entails. This will help you understand how the training will be conducted and what topics will be covered.

The DataMites Placement Assistance Team(PAT) facilitates the aspirants in taking all the necessary steps in starting their career in Data Science. Some of the services provided by PAT are: -

  • 1. Job connect
  • 2. Resume Building
  • 3. Mock interview with industry experts
  • 4. Interview questions

The DataMites Placement Assistance Team(PAT) conducts sessions on career mentoring for the aspirants with a view of helping them realize the purpose they have to serve when they step into the corporate world. The students are guided by industry experts about the various possibilities in the Data Science career, this will help the aspirants to draw a clear picture of the career options available. Also, they will be made knowledgeable about the various obstacles they are likely to face as a fresher in the field, and how they can tackle.

No, PAT does not promise a job, but it helps the aspirants to build the required potential needed in landing a career. The aspirants can capitalize on the acquired skills, in the long run, to a successful career in Data Science.

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