Life Sciences: Statistics and R online from Harvard

Add your review
Product is rated as #9 in category Data Analytics
Learning Experience8

Statistics and R online from Harvard: Introduction to basic statistical concepts and R programming skills necessary for analyzing data in the life sciences.

Last updated on July 29, 2021 2:17 pm

Introduction

In this course on Statistics and R online from Harvard, you’ll get an introduction to basic statistical concepts and R programming skills necessary for analyzing data in the life sciences.

About this course

This course teaches the R programming language in the context of statistical data and statistical analysis in the life sciences.

You will learn the basics of statistical inference in order to understand and compute p-values and confidence intervals, all while analyzing data with R code. Course provides R programming examples in a way that will help make the connection between concepts and implementation.

Problem sets requiring R programming will be used to test understanding and ability to implement basic data analyses. You will ne able to use visualization techniques to explore new data sets and determine the most appropriate approach, also they will describe robust statistical techniques as alternatives when data do not fit assumptions required by the standard approaches. By using R scripts to analyze data, you will learn the basics of conducting reproducible research.

Given the diversity in educational background of our students we have divided the course materials into seven parts. You can take the entire series or individual courses that interest you. If you are a statistician you should consider skipping the first two or three courses, similarly, if you are biologists you should consider skipping some of the introductory biology lectures.

Note that the statistics and programming aspects of the class ramp up in difficulty relatively quickly across the first three courses. Course commence with the simple calculations and descriptive statistics. By the third course will be teaching advanced statistical concepts such as hierarchical models and by the fourth advanced software engineering skills, such as parallel computing and reproducible research concepts.

These courses makeup two Professional Certificates and are self-paced:

Data Analysis for Life Sciences:

  • PH525.1x: Statistics and R for the Life Sciences
  • PH525.2x: Introduction to Linear Models and Matrix Algebra
  • PH525.3x: Statistical Inference and Modeling for High-throughput Experiments
  • PH525.4x: High-Dimensional Data Analysis

Genomics Data Analysis:

  • PH525.5x: Introduction to Bioconductor
  • PH525.6x: Case Studies in Functional Genomics
  • PH525.7x: Advanced Bioconductor
  • This class was supported in part by NIH grant R25GM114818.

What you will learn from Statistics and R online from Harvard?

  • Random variables
  • Distributions
  • Inference: p-values and confidence intervals
  • Exploratory Data Analysis
  • Non-parametric statistics

Prerequisites

  • Basic programming
  • Basic math

Syllabus for Statistics and R online from Harvard

Introduction and Resources

  • Welcome and Frequently Asked Questions
  • Course Materials and R Resources
  • Pre-Course Survey

Week 1

  • Getting Started
  • Introduction to Exploratory Data Analysis

Week 2

  • Random Variables and Probability Distributions
  • Central Limit Theorem

Week 3

  • The inference I: P-values, Confidence Intervals and Power Calculations
  • Inference II: Monte Carlo Simulation, Permutation Tests and Association tests

Week 4

  • Exploratory Data Analysis
  • Robust Summaries
  • Data Analysis for Life Sciences Series

Note: Your review matters 

If you have already done this course, kindly drop your review in our reviews section. It would help others to get useful information and better insight into the course offered.

FAQ

Free Course
Verified Certificate at

$149.00

Add to wishlistAdded to wishlistRemoved from wishlist 0
Add to compare
  • EDX
  • Harvard University
  • Online Course
  • Self-paced
  • Intermediate
  • 1-4 Weeks
  • Free Course (Affordable Certificate)
  • English
  • Bioinformatics Data Analysis Statistics
Learning Experience
8
PROS: Covered the basics of using R and a general overview of statistics. Course material is released every week which allows flexibility for students. Additional follow-up courses are available for matrix operations and advanced statistics. Very good approach with several perspectives and concepts  Watching videos, reading the material & doing exercises, you will emerge with a working understanding of statistics foundations.
CONS: Prior knowledge of basic programming and basic math. Homework and assignments might be challenging for those unfamiliar with the languages. Actual instruction in programming in R is a bit slim here. The instructors should maintain transparency in their explanations. Forums and the exercise explanations are challenging.

Description

Introduction

In this course on Statistics and R online from Harvard, you’ll get an introduction to basic statistical concepts and R programming skills necessary for analyzing data in the life sciences.

About this course

This course teaches the R programming language in the context of statistical data and statistical analysis in the life sciences.

You will learn the basics of statistical inference in order to understand and compute p-values and confidence intervals, all while analyzing data with R code. Course provides R programming examples in a way that will help make the connection between concepts and implementation.

Problem sets requiring R programming will be used to test understanding and ability to implement basic data analyses. You will ne able to use visualization techniques to explore new data sets and determine the most appropriate approach, also they will describe robust statistical techniques as alternatives when data do not fit assumptions required by the standard approaches. By using R scripts to analyze data, you will learn the basics of conducting reproducible research.

Given the diversity in educational background of our students we have divided the course materials into seven parts. You can take the entire series or individual courses that interest you. If you are a statistician you should consider skipping the first two or three courses, similarly, if you are biologists you should consider skipping some of the introductory biology lectures.

Note that the statistics and programming aspects of the class ramp up in difficulty relatively quickly across the first three courses. Course commence with the simple calculations and descriptive statistics. By the third course will be teaching advanced statistical concepts such as hierarchical models and by the fourth advanced software engineering skills, such as parallel computing and reproducible research concepts.

These courses makeup two Professional Certificates and are self-paced:

Data Analysis for Life Sciences:

  • PH525.1x: Statistics and R for the Life Sciences
  • PH525.2x: Introduction to Linear Models and Matrix Algebra
  • PH525.3x: Statistical Inference and Modeling for High-throughput Experiments
  • PH525.4x: High-Dimensional Data Analysis

Genomics Data Analysis:

  • PH525.5x: Introduction to Bioconductor
  • PH525.6x: Case Studies in Functional Genomics
  • PH525.7x: Advanced Bioconductor
  • This class was supported in part by NIH grant R25GM114818.

What you will learn from Statistics and R online from Harvard?

  • Random variables
  • Distributions
  • Inference: p-values and confidence intervals
  • Exploratory Data Analysis
  • Non-parametric statistics

Prerequisites

  • Basic programming
  • Basic math

Syllabus for Statistics and R online from Harvard

Introduction and Resources

  • Welcome and Frequently Asked Questions
  • Course Materials and R Resources
  • Pre-Course Survey

Week 1

  • Getting Started
  • Introduction to Exploratory Data Analysis

Week 2

  • Random Variables and Probability Distributions
  • Central Limit Theorem

Week 3

  • The inference I: P-values, Confidence Intervals and Power Calculations
  • Inference II: Monte Carlo Simulation, Permutation Tests and Association tests

Week 4

  • Exploratory Data Analysis
  • Robust Summaries
  • Data Analysis for Life Sciences Series

Note: Your review matters 

If you have already done this course, kindly drop your review in our reviews section. It would help others to get useful information and better insight into the course offered.

FAQ

Specification:

  • EDX
  • Harvard University
  • Online Course
  • Self-paced
  • Intermediate
  • 1-4 Weeks
  • Free Course (Affordable Certificate)
  • English
  • Bioinformatics Data Analysis Statistics

Videos: Life Sciences: Statistics and R online from Harvard

User Reviews

0.0 out of 5
0
0
0
0
0
Write a review

There are no reviews yet.

Be the first to review “Life Sciences: Statistics and R online from Harvard”

Your email address will not be published. Required fields are marked *

Life Sciences: Statistics and R online from Harvard
Life Sciences: Statistics and R online from Harvard

$149.00

courseonline.info
courseonline.info
Logo
Compare items
  • Total (0)
Compare
0