Udacity

Data Analysis and Visualization (Udacity)

Offered by Georgia Institute of Technology, Udacity,
Data Analysis and Visualization (Udacity)

Data and visual analytics is an emerging field concerned with analyzing, modeling, and visualizing complex high dimensional data. This course will introduce students to the field by covering state­-of-­the-art modeling, analysis and visualization techniques. It will emphasize practical challenges involving complex real world data and include several case studies and hands-on work with the R programming language.

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

Why Take This Course
You should take this course if you want to cover the state of the art in data modeling and visualization techniques using the R programming language.

What You Will Learn

Lesson 1
Programming in R

  • The R Programming Language
  • R Programming Syntax
  • R Programming and Data Structures

Lesson 2
Data Analysis

  • Data Preprocessing
  • Data Processing
  • Data Visualization

Lesson 3
Regression

  • Logistic Regression
  • Linear Regression
  • Regularization

Prerequisites and Requirements

  • Programming experience
  • Mathematics: basic linear algebra, calculus, introductory probability
  • No background in machine learning is required
Go to Class
MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Related Courses

Statistical Inference (Coursera) Coursera
Johns Hopkins University

Statistical Inference (Coursera)

Statistics & Data Analysis Data Science

Statistical inference is the process of drawing conclusions about populations or scientific truths from data. There are many modes of performing inference including statistical modeling, data oriented strategies and explicit use of designs and randomization in analyses. Furthermore, there are broad theories (frequentists, Bayesian, likelihood, design based, …) and numerous complexities (missing data, observed and unobserved confounding, biases) for performing inference.

Jun 22nd 2026
4 Weeks
Statistics Probability Data Analysis
Details
Data Structures & Algorithms in Swift (Udacity) Udacity
Udacity

Data Structures & Algorithms in Swift (Udacity)

Computer Science

Confidently take on the tech interview. Technical interviews follow a pattern. If you know the pattern, you’ll be a step ahead of the competition. This course will introduce you to common data structures and algorithms in Swift. You'll review frequently-asked technical interview questions and learn how to structure your responses. You will answer practice problems and quizzes to test your abilities. Then you'll practice mock interviews to get specific recommendations for improvement. Be ready for anything the technical interviewer throws at you.

Self Paced
Self-Paced
Algorithms Data Structures Interview
Details
Data Wrangling with MongoDB (Udacity) Udacity
Udacity,MongoDB University

Data Wrangling with MongoDB (Udacity)

CS: Software Engineering

In this course, we will explore how to wrangle data from diverse sources and shape it to enable data-driven applications. Some data scientists spend the bulk of their time doing this! Students will learn how to gather and extract data from widely used data formats. They will learn how to assess the quality of data and explore best practices for data cleaning. We will also introduce students to MongoDB, covering the essentials of storing data and the MongoDB query language together with exploratory analysis using the MongoDB aggregation framework.

Self Paced
Self-Paced
Programming MongoDB Databases
Details
Introduction to Machine Learning (Coursera) Coursera
Duke University

Introduction to Machine Learning (Coursera)

Data Science

This course will provide you a foundational understanding of machine learning models (logistic regression, multilayer perceptrons, convolutional neural networks, natural language processing, etc.) as well as demonstrate how these models can solve complex problems in a variety of industries, from medical diagnostics to image recognition to text prediction.

Jun 26th 2026
5-12 Weeks
ML NLP Machine Learning
Details
Regression Models (Coursera) Coursera
Johns Hopkins University

Regression Models (Coursera)

Statistics & Data Analysis Data Science

Linear models, as their name implies, relates an outcome to a set of predictors of interest using linear assumptions. Regression models, a subset of linear models, are the most important statistical analysis tool in a data scientist’s toolkit. This course covers regression analysis, least squares and inference using regression models.

Jun 22nd 2026
4 Weeks
Statistics Regression Linear Regression
Details
Ordered Data Structures (Coursera) Coursera
University of Illinois at Urbana-Champaign

Ordered Data Structures (Coursera)

CS: Software Engineering Computer Science

In this course, you will learn new data structures for efficiently storing and retrieving data that is structured in an ordered sequence. Such data includes an alphabetical list of names, a family tree, a calendar of events or an inventory organized by part numbers. The specific data structures covered by this course include arrays, linked lists, queues, stacks, trees, binary trees, AVL trees, B-trees and heaps. This course also shows, through algorithm complexity analysis, how these structures enable the fastest algorithms to search and sort data.

Jun 24th 2026
4 Weeks
Data Structures Tree Structures Accelerated Computer Science Fundamentals Specialization
Details
Full-Stack Interview Prep (Udacity) Udacity
Udacity

Full-Stack Interview Prep (Udacity)

Personal and Professional Development Computer Science

Confidently take on the tech interview. This course is an excellent way to prepare for technical interviews. You’ll experience a mock interview, and review detailed analysis on how to field key industry questions. You’ll review common Full Stack Web Developer interview topics like palindrome functions and data structures. You’ll also learn best practices for behavioral questions and whiteboard problems. Upon completing this course, you’ll be ready to showcase your skills during your Full Stack Web Developer interview!

Self Paced
Self-Paced
Data Structures Career Interview
Details
Data Engineering with Rust (Coursera) Coursera
Duke University

Data Engineering with Rust (Coursera)

Data Science

Are you a data engineer, software developer, or a tech enthusiast with a basic understanding of Rust, seeking to enhance your skills and dive deep into the realm of data engineering with Rust? Or are you a professional from another programming language background, aiming to explore the efficiency, safety, and concurrency features of Rust for data engineering tasks? If so, this course is designed for you.

Jun 25th 2026
4 Weeks
Data Structures Software Testing Data Processing
Details
Statistics (Udacity) Udacity
Udacity,San Jose State University

Statistics (Udacity)

Sci: Mathematics Statistics & Data Analysis

The Science of Decisions. We live in a time of unprecedented access to information...data. Whether researching the best school, job, or relationship, the Internet has thrown open the doors to vast pools of data. Statistics are simply objective and systematic methods for describing and interpreting information so that you may make the most informed decisions about life.

Self Paced
Self-Paced
Math Statistics Probability
Details