Data Analysis with R Practice Exam Questions
Data Analysis with R Practice Exam Questions
Data analysis is the upcoming source of numerous opportunities. It is focused on analysing data sets and then applying statistical techniques for making decisions and predicting the success of businesses. R software is widely used for data analysis and graphical representation of data. Thus, getting certified in Data analysis and R will create huge opportunities for career progression for you.
Uses of R
• Linear and nonlinear modelling
• Statistical tests
• Classification
• Time-series analysis
• Clustering
Benefits
This exam has the several benefits such as-
1. Broadening your skill-set.
2. Enabling you to stand out in the competitive job environment.
3. Enhancing the value of your CV.
Target Groups
This exam is best-suited for-
• Working Professionals
• Programmers
• Software developers
• Graduates
• Executive managers
Course Outline
The topics covered in this exam are as follows-
Introduction
• Scope and Evolution
• Data for Business Analytics
• Understanding Decision Models
• Problem Solving
• Decision Making
Descriptive Statistical Measures
• Understanding Statistical Notation
• Measures of Location, Dispersion, Shape and Association
• Excel Descriptive Statistics Tool
Probability Distributions
• Basics of Probability
• Understanding Discrete Probability Distributions
• Knowledge of Continuous Probability Distributions
• Distribution Fitting
Sampling and Estimation
• About Sampling Methods
• Statistical Sampling and Sampling Distributions
• Estimation
• Knowledge of Interval Estimates
• Confidence and Prediction Intervals
Statistical Inference
• Hypothesis Testing
• One-Sample and Two-Sample Hypothesis Tests
• ANOVA
R Programming Language Introduction
• Introducing R
• Objects and Arithmetic
• Summaries
• Matrices
• Subscripting
• Attaching to objects
• Statistical Computation and Simulation
• Graphics
Reading Data from files
• Understanding theread.table() function
• Knowing the scan() function
• Accessing Builtin Datasets
• Editing data
Probability Distributions
• Understanding R as a set of statistical tables
• Examination of the distribution of a set of data
• One and two-sample tests
Statistical Models in R
• Introduction to statistical models and formulae
• Linear models
• Generic functions for the extraction of model information
• Analysing variance and model comparison
• Updating fitted models
• Generalized Linear Models
• Nonlinear least squares
• Understanding maximum likelihood models
• Some Non-Standard Models
R Graphics Facilities
• Understanding High-Level Plotting Commands
• Knowing Low-level plotting commands
• Interaction with graphics
• Use of graphics parameters
• Graphics parameters list
• Figure margins and Device drivers
R Data Import/Export
• Imports
• Spreadsheet-like data
• XML
• Importing from different statistical systems
• Understanding Relational databases
• Binary and Image files
• Connections
• Knowledge of Network interfaces
• Reading Excel spreadsheets
What do we offer?
- Full-Length Mock Test with unique questions in each test set
- Practice objective questions with section-wise scores
- In-depth and exhaustive explanation for every question
- Reliable exam reports evaluating strengths and weaknesses
- Latest Questions with an updated version
- Tips & Tricks to crack the test
- Unlimited access
What are our Practice Exams?
- Practice exams have been designed by professionals and domain experts that simulate real-time exam scenario.
- Practice exam questions have been created on the basis of content outlined in the official documentation.
- Each set in the practice exam contains unique questions built with the intent to provide real-time experience to the candidates as well as gain more confidence during exam preparation.
- Practice exams help to self-evaluate against the exam content and work towards building strength to clear the exam.
- You can also create your own practice exam based on your choice and preference
