R Data Analysis professionals have knowledge of all basic Packages in R with ability to understand R Data elements. However, R Data Analysis professional is responsible for providing simulations, data analyses and data visualizations with the R package. They assist in designing and development of technical architecture as well as they provide coordination with end users for implementing analytics solutions as per project proposals. R Data Analysis professionals have skills and abilities to prepare scripts for ensuring proper data access and formulate procedures for integration of R programming plans.
Further, in their day to day task, they provide technical assistance for development of test plans and cases as per client requirements.
So, let’s get started with the in-depth details and resources to become a Certificate in Data Analysis with R
Vskills Certificate in Data Analysis with R
Data analysis is the process that focuses on analyzing data sets, applying statistical and analytical techniques for decision making for business success. And, on the other side, R is an open source programming language used for statistical computing and graphics. Candidates holding certification in Data analysis with R, will get massive opportunities of employment and career progression.
However, the Vskills Data Analysis with R certification is good for programmers, software developers, senior and executive management who want to excel in data analysis. And, it will provide benefits to job seekers who are looking for finding employment in IT or software development or analysis departments. Further, this will also help candidates to improve their CV and showcase their skills to stand in today’s competitive job market.
Vskills certification providers give candidates access to top exams as well as provides exam benefits. This includes:
- The certifications will have a Government verification tag.
- The Certification is valid for life.
- Candidates will get lifelong e-learning access.
- Access to free Practice Tests.
- Candidates will get tagged as ‘Vskills Certified’ On Monsterindia.com and ‘Vskills Certified’ On Shine Shine.com.
Course Outline
Certificate in Data Analysis with R covers the following topics –
Introduction
- Evolution and Scope
- Data for Business Analytics
- Decision Models
- Problem Solving and Decision Making
Descriptive Statistical Measures
- Statistical Notation
- Measures of Location
- Measures of Dispersion
- Measures of Shape
- Measures of Association
- Excel Descriptive Statistics Tool
Probability Distributions
- Probability Basics
- Discrete Probability Distributions
- Continuous Probability Distributions
- Distribution Fitting
Sampling and Estimation
- Sampling Methods
- Statistical Sampling
- Sampling Distributions
- Estimation
- Interval Estimates
- Confidence Intervals
- Prediction Intervals
Statistical Inference
- Hypothesis Testing
- One-Sample Hypothesis Tests
- Two-Sample Hypothesis Tests
- ANOVA
R Programming Language Introduction
- What is R?
- Objects and Arithmetic
- Summaries and Subscripting
- Matrices
- Attaching to objects
- Statistical Computation and Simulation
- Graphics
Reading Data from files
- The read.table() function
- The scan() function
- Accessing Builtin Datasets
- Editing data
Probability Distributions
- R as a set of statistical tables
- Examining the distribution of a set of data
- One- and two-sample tests
Statistical Models in R
- Defining statistical models; formulae
- Linear models
- Generic functions for extracting model information
- Analysis of variance and model comparison
- Updating fitted models
- Generalized Linear Models
- Nonlinear least squares and maximum likelihood models
- Some Non-Standard Models
R Graphics Facilities
- High-Level Plotting Commands
- Low-level plotting commands
- Interacting with graphics
- Using graphics parameters
- Graphics parameters list
- Figure margins
- Device drivers
R Data Import/Export
- Imports
- XML
- Spreadsheet-like data
- Importing from other statistical systems
- Relational databases
- Binary files
- Image files
- Connections
- Network interfaces
- Reading Excel spreadsheets
Preparation Guide for Vskills Certificate in Data Analysis with R
Now that we have an understanding of the basic pattern for the certification exam let’s move on to the preparation resources. Candidates at this point should start researching for the best available study resources to start the preparation in a mannered way. However, a preparation guide basically refers to the essential resources and study materials required for the exam. Further, this will also help them to understand and learn things easily. Talking about the Certificate in Data Analysis with R exam, below are the resources provided by Vskills that will help candidates to cover all the concepts and prepare well for the exam.
Get Familiar Exam Objectives
Getting understanding and familiarity with the Exam objectives will provide candidates a clear way to enhance their level of knowledge. As the Exam objectives provide a brief about the exam contents that includes various sections and subsections. So, Candidates should get all details about exam objectives to get a better understanding of the content and topics related to the exam. However, for Certificate in Data Analysis with R, the topics include –
- Descriptive Statistical Measures
- Probability Distributions
- Sampling and Estimation
- Statistical Inference
- R Programming Language Introduction
- Reading Data from files
- Probability Distributions
- Statistical Models in R
- R Graphics Facilities
- R Data Import/Export
Vskills E-Learning
E-learning has now become a modern way to prepare for the exam. However, Vskills E-learning study method for Certificate in Data Analysis with R helps candidates to get a better understanding of the content by providing them the online learning material for a lifetime. This learning material comes with hard copy material that will help them in improving skills and staying up to date with the learning curve for getting better opportunities.
Reference Books for better understanding
Those Candidates who want to get in-depth details for the topic or content can take references from the books related to the exam. That is to say, reference books can be helpful for understanding concepts and topics fastly. However, for the Certificate in Data Analysis with Rexam, there are various books available which you can find online or in libraries. Some of the books are as follows:
- R for Data Science Book by Garrett Grolemund and Hadley Wickham
- The Art of R Programming Book by Norman Matloff
Evaluate yourself with Practice Test
Practice tests can be considered as an essential part of the tutorial. That is to say, we all have heard there is success without practicing. Similarly to get certified it is important for candidates to start examining themselves using the Practice tests. This will help them to learn about their weak areas as well as they can work on their answering skills. Moreover, taking assessments after the completion of the topic will make their knowledge level more advance. So, get yourself prepared and become certified.
