R for Data Science Solutions Practice Exam

R for Data Science Solutions

R in data science is used to deal with, store and break down data. It can be used for data analysis and statistical demonstrating. R is an environment for statistical analysis. R has various statistical and graphical capabilities.

Skills Required

• Creativity and critical reasoning.

• Math and stats.

• Programming.

• Data analysis and visualization.

• AI and profound learning.

• Databases.

• Instruction.

Career Opportunity

• Data Science Engineer

• Data Science Analyst 

• Data Scientist

• Data Science Architect

• Analytics Manager

Table of Content

• Functions in R
• Data Extracting, Transforming, and Loading
• Data Pre-Processing and Preparation
• Data Manipulation
• Visualizing Data with ggplot2
• Making Interactive Reports
• Simulation from Probability Distributions
• Statistical Inference in R
• Rule and Pattern Mining with R
• Time Series Mining with R
• Supervised Machine Learning
• Unsupervised Machine Learning

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• 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 to evaluate 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.
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