Hands On Training

Experimental Design in R

DataCamp

(3)

1 Coupon Available

Course Features

Duration

4 hours

Delivery Method

Online

Available on

Limited Access

Accessibility

Mobile, Desktop, Laptop

Language

English

Subtitles

English

Level

Intermediate

Teaching Type

Self Paced

Video Content

4 hours

Course Description

Only experimental design can make data analysis possible. This is true for any industry, regardless of whether it's tech, health, or business. If you want to collect data, you must design an experiment. This course will cover the fundamentals of experimental design. This course will teach you about factorial and block designs, as well as common statistical tests such as ANOVAs and T-tests. You will also use R data, real-world data such as the CDC NHANES survey or SAT Scores from NY Public Schools. After the course, you will be able to create and analyze your experiments.

Highlights

Pedagogy

Top 30 Percentile

Hands on training

Top 10 Percentile

Rating & Reviews

Top 30 Percentile

Parameters

Pedagogy

Acquire all major R Programming skills in this course for seamless integration into your daily life. Develop a versatile skill set, allowing you to confidently apply what you've learned in various practical scenarios, enhancing your daily experiences and overall proficiency. An exceptional course in R Programming, this stands out for its Self Paced learning approach. Learners have the flexibility to progress at their own speed, tailoring the experience to their individual needs.

Hands on training

This course stands out as one of the top 10 percentile options in R Programming, offering unparalleled hands-on training. Learners gain practical experience and skills through immersive learning, preparing them for real-world challenges. It ensures a well-rounded skill set, catering to a range of learning preferences. With a focus on Hands on training and Capstone Projects / Industry-Simulation as well as essential Virtual Labs, this course is tailored to meet diverse educational needs.

Rating & Reviews

This highly acclaimed course is among the top-rated in R Programming, boasting a rating greater than 4 and an overall rating of 5.0. Its exceptional quality sets it apart, making it an excellent choice for individuals seeking top-notch learning experience in R Programming.

Course Overview

Virtual Labs

International Faculty

Post Course Interactions

Hands-On Training,Instructor-Moderated Discussions

Case Studies, Captstone Projects

Skills You Will Gain

What You Will Learn

In this course you'll learn about basic experimental design, a crucial part of any data analysis

In this course you will learn about basic experimental design, including block and factorial designs, and commonly used statistical tests, such as the t-tests and ANOVAs

You will use built-in R data and real world datasets including the CDC NHANES survey, SAT Scores from NY Public Schools, and Lending Club Loan Data

Course Content

Expand all sections

Module 1: Introduction to Experimental Design

Module 2: Basic Experiments

Module 3: Randomized Complete ( Balanced Incomplete) Block Designs

Module 4: Latin Squares, Graeco-Latin Squares, Factorial experiments

Course Instructors

kaelen medeiros

Data Scientist

Kaelen is a data scientist and an admin for the R-Ladies Global community. Kaelen received a MS in Biostatistics from Louisiana State University Health Sciences Center, where they worked at the Louis...

Course Reviews

Average Rating Based on 3 reviews

5.0

100%

1 Coupon Available
Get upto 50% Discount