EdX

Introductory Statistics : Analyzing Data Using Graphs and Statistics (edX)

Offered by Seoul National University, SNUx,
Introductory Statistics : Analyzing Data Using Graphs and Statistics (edX)

This course teaches basic statistical concepts and explores many compelling applications of statistical methods using real-life applications of Statistics. Why do we study statistics? The field of statistics provides professionals and scientists withconceptual foundations and useful techniques for evaluating ideas, testing theories, and - ultimately -uncovering the truth in any situation.

Class Deals by MOOC List - Click here and see EdX's Active Discounts, Deals, and Promo Codes.

This course will familiarize you with data and basic statistical concepts, enabling you to analyze data using graphs and statistics. We'll start with types of data, controlled experiments,and observational study. You'll learn to use a histogram, a representation of the distribution of numerical data, to easily arrange data.
You will learn about basic concepts of statistics, such as average and standard deviation. Methods of using the normal approximation to solve a problem will be covered in this course. In addition, we'll discuss the correlation coefficient and the regression method in order to represent the relationship between two variables.

What you'll learn

  • Statistics and Data
  • The Histogram
  • The Average and the Standard Deviation
  • The Normal Approximation
  • Correlation
  • Regression
  • The Error for Regression
  • Regression Line

Syllabus

[Week 1]
Statistics and Data
The Histogram
[Week 2]
The Average and the Standard Deviation
The Normal Approximation
[Week 3]
Correlation
Regression
[Week 4]
The Error for Regression
Regression Line

Go to Class
MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Related Courses

Predictive Analytics (edX) EdX
Indian Institute of Management, Bangalore,IIMBx

Predictive Analytics (edX)

Management & Leadership Statistics & Data Analysis

Master the tools of predictive analytics in this statistics based analytics course. Decision makers often struggle with questions such as: What should be the right price for a product? Which customer is likely to default in his/her loan repayment? Which products should be recommended to an existing customer? Finding right answers to these questions can be challenging yet rewarding.

This course is archived
5-12 Weeks
Statistics Analysis Regression
Details
Analyzing and Visualizing Data with Power BI (edX) EdX
Davidson College,DavidsonX

Analyzing and Visualizing Data with Power BI (edX)

Statistics & Data Analysis Computer Science

Step up your analytics game and learn one of the most in-demand job skills in the United States. Power BI is a robust business analytics and visualization tool from Microsoft that helps data professionals bring their data to life and tell more meaningful stores. This four-week course is a beginner's guide to working with data in Power BI and is perfect for professionals. You'll become confident in working with data, creating data visualizations, and preparing reports and dashboards.

Self Paced
Self-Paced
Data Analysis Data Visualization Power BI
Details
Introduction to Statistics: Descriptive Statistics (edX) EdX
University of California, Berkeley,BerkeleyX

Introduction to Statistics: Descriptive Statistics (edX)

Statistics & Data Analysis

An introduction to descriptive statistics, emphasizing critical thinking and clear communication. We are surrounded by information, much of it numerical, and it is important to know how to make sense of it. Stat2x is an introduction to the fundamental concepts and methods of statistics, the science of drawing conclusions from data.

No sessions available
4 Weeks
Math Statistics Critical Thinking
Details
Understanding the World Through Data (edX) EdX
MIT,MITx

Understanding the World Through Data (edX)

Computer Science

Become a data explorer – learn how to leverage data and basic machine learning algorithms to understand the world. Speech recognition, drones, and self-driving cars – things that once seemed like pure science fiction – are now widely available technologies, and just a few examples of how humans have taught machines to analyze data and make decisions. In this hands-on, introductory course, you will examine all the forms in which data exists, learn tools that uncover relationships between data, and leverage basic algorithms to understand the world from a new perspective.

Mar 13th 2024
5-12 Weeks
Python Data Machine Learning
Details
Case Studies in Functional Genomics (edX) EdX
HarvardX,Harvard University

Case Studies in Functional Genomics (edX)

Sci: Biology & Life Sciences Statistics & Data Analysis

Perform RNA-Seq, ChIP-Seq, and DNA methylation data analyses, using open source software, including R and Bioconductor. We will explain how to perform the standard processing and normalization steps, starting with raw data, to get to the point where one can investigate relevant biological questions.

Self Paced
Self-Paced
Data Analysis Biological Data Genomics
Details
Statistics for Business - II (edX) EdX
Indian Institute of Management, Bangalore,IIMBx

Statistics for Business - II (edX)

Management & Leadership Statistics & Data Analysis

Examine data drawn from allied fields of business such as Finance and HR, and learn how to simulate data to follow a specified distribution. Statistics is a versatile discipline that has revolutionized the fields of business, engineering, medicine and pure sciences. This course is Part 2 of a 4-part series on Business Statistics, and is ideal for learners who wish to enroll in business programs. The first two parts cover topics in Descriptive Statistics, whereas the next two focus on Inferential Statistics.

No sessions available
5-12 Weeks
Business Statistics Descriptive Statistics
Details
Técnicas Cuantitativas y Cualitativas para la Investigación (edX) EdX
Universitat Politècnica de València,UPValenciaX

Técnicas Cuantitativas y Cualitativas para la Investigación (edX)

Statistics & Data Analysis

El curso pretende acercar al alumno al método científico y, en concreto, cómo éste se aplica al estudio y análisis de los métodos de casos. El curso que se propone es ideal para investigadores y alumnos que se encuentren cursando trabajos de fin de grado, trabajos de fin de máster o realizando tesis, así como todos aquellos del área de la administración que quieran realizar un análisis cuantitativo o cualitativo en sus estudios.

Self Paced
Self-Paced
Research Methods Data Analysis Scientific Methods
Details
Designing and Running Randomized Evaluations (edX) EdX
MIT,MITx

Designing and Running Randomized Evaluations (edX)

Economics & Finance Social Sciences

Learn how to both design randomized evaluations and implement them in the field to measure the impact of social programs. A randomized evaluation, also known as a randomized controlled trial (RCT), field experiment or field trial, is a type of impact evaluation that uses random assignment to allocate resources, run programs, or apply policies as part of the study design.

Sep 7th 2021
5-12 Weeks
Data Analysis Randomized Evaluations Randomized Controlled Trials
Details
Knowledge Management and Big Data in Business (edX) EdX
The Hong Kong Polytechnic University,HKPolyUx

Knowledge Management and Big Data in Business (edX)

Management & Leadership Social Sciences

Learn why and how knowledge management and Big Data are vital to the new business era. The business landscape is changing so rapidly that traditional management, business and computing courses do not meet the needs for the next generation of workers in the business world. Most traditional methods are of a repetitive, rule-based nature and will be gradually replaced by Artificial Intelligence.

Self Paced
Self-Paced
Business Management Big Data
Details
Computing for Data Analysis (edX) EdX
Georgia Institute of Technology,GTx

Computing for Data Analysis (edX)

CS: Software Engineering Statistics & Data Analysis

A hands-on introduction to basic programming principles and practice relevant to modern data analysis, data mining, and machine learning. The modern data analysis pipeline involves collection, preprocessing, storage, analysis, and interactive visualization of data. In the course, you’ll see how computing and mathematics come together.

Aug 19th 2024
13-24 Weeks
Programming Python Computing
Details
Data Analysis: Building Your Own Business Dashboard (edX) EdX
Delft University of Technology,DelftX

Data Analysis: Building Your Own Business Dashboard (edX)

CS: Software Engineering Statistics & Data Analysis

Dive in headfirst and carry out an independent data analysis. Build and design your own dashboard based on raw data to better inform business decisions. Are you ready to leave the sandbox and go for the real deal? Have you followed EX101x Data Analysis: Take It to the MAX() and EX102x Data Analysis: Visualization and Dashboard Design and are ready to carry out more robust data analysis?

No sessions available
5-12 Weeks
Data Analysis Visualization Data Wrangling
Details