Search result for Data programming Online Courses & Certifications
FollowFilter ![]()
Filter ![]()
Showing 2,393 courses
By Category ![]()
By Subject![]()
By Language![]()
By Duration![]()
By Price![]()
Get Course Alerts by Email
R Programming
by Roger D. Peng, PhD , Jeff Leek, PhD , Brian Caffo, PhD- 4.5
-
![]()
![]()
![]()
![]()
![]()
Approx. 57 hours to complete
In this course you will learn how to program in R and how to use R for effective data analysis. The course covers practical issues in statistical computing which includes programming in R, reading data into R, accessing R packages, writing R functions, debugging, profiling R code, and organizing and commenting R code....
Data Science for Business Innovation
by Marco Brambilla , Emanuele Della Valle- 4.2
-
![]()
![]()
![]()
![]()
![]()
Approx. 7 hours to complete
The course is a compendium of the must-have expertise in data science for executive and middle-management to foster data-driven innovation. It consists of introductory lectures spanning big data, machine learning, data valorization and communication. How Does It Relate to Data Science? How Does It Relate to Data Science? Big Data and Data Science...
Introduction to Python Programming
by Juno Lee- 0.0
-
![]()
![]()
![]()
![]()
![]()
Timeline Approx. 5 Weeks
In this course, you'll learn the fundamentals of the Python programming language, along with programming best practices. You’ll learn to represent and store data using Python data types and variables, and use conditionals and loops to control the flow of your programs....
Free
Programming for Data Science with Python
by Josh Bernhard , Derek Steer , Juno Lee , Richard Kalehoff , Karl Krueger- 0.0
-
![]()
![]()
![]()
![]()
![]()
3 Months
The Programming for Data Science with Python Nanodegree program offers you the opportunity to learn the most important programming languages used by data scientists today. Learn the fundamental programming tools for data professionals: Python, SQL, the Terminal and Git. Learn the programming fundamentals required for a career in data science....
Programming for Data Science with R
by Josh Bernhard , Derek Steer , Juno Lee , Richard Kalehoff , Karl Krueger- 0.0
-
![]()
![]()
![]()
![]()
![]()
3 Months
The Programming for Data Science Nanodegree program offers you the opportunity to learn the most important programming languages used by data scientists today. Prepare for a data science career by learning the fundamental data programming tools: R, SQL, command line, and git. Learn the programming fundamentals required for a career in data science....
Computer Science: Programming with a Purpose
by Robert Sedgewick , Kevin Wayne- 4.7
-
![]()
![]()
![]()
![]()
![]()
Approx. 88 hours to complete
Our intent is to teach programming to those who need or want to learn it, in a scientific context. We begin by introducing basic programming elements such as variables, conditionals, loops, arrays, and I/O. BASIC PROGRAMMING CONCEPTS Built-in data types Optional Enrichment on Basic Programming Concepts Modular programming and libraries Dynamic programming...
Java Programming: Principles of Software Design
by Robert Duvall , Owen Astrachan , Andrew D. Hilton , Susan H. Rodger- 4.6
-
![]()
![]()
![]()
![]()
![]()
Approx. 13 hours to complete
Learn how to create programming solutions that scale using Java interfaces. Use timing data to analyze empirical performance; Implement programming solutions using multiple approaches and recognize tradeoffs; Programming Resources Earthquakes: Programming and Interfaces Programming Exercise: Searching Earthquake Data Programming Exercise: Filtering Data Searching Earthquake Data Filtering Data Earthquakes: Programming and Interfaces...
Related searches
Introduction to Big Data
by Ilkay Altintas , Amarnath Gupta- 4.6
-
![]()
![]()
![]()
![]()
![]()
Approx. 17 hours to complete
Interested in increasing your knowledge of the Big Data landscape? * Provide an explanation of the architectural components and programming models used for scalable big data analysis. Slides: Step 2A-Exploring Data Slides: Step 2B-Preprocessing Data Foundations for Big Data Systems and Programming Programming Models for Big Data Slides: Programming Models for Big Data...
Data Visualization
by John C. Hart- 4.5
-
![]()
![]()
![]()
![]()
![]()
Approx. 15 hours to complete
Learn the general concepts of data mining along with basic methodologies and applications. Then dive into one subfield in data mining: pattern discovery. Programming Assignment 1: Visualize Data Using a Chart Programming Assignment 1 Rubric Week 3: Visualization of Non-Numerical Data Programming Assignment 2: Visualize Network Data Programming Assignment 2 Rubric...
Data Processing Using Python
by ZHANG Li- 4.2
-
![]()
![]()
![]()
![]()
![]()
Approx. 29 hours to complete
1 Internet Data Retrival Programming exercise(Not Graded, update on Oct 17, 2020)) 3 Data Clean of Data Exploration and Preprocessing 4 Data Transformation of Data Precessing 5 Data Reduction of Data Preproccessing Copy of 1 Convenient and Fast Data Acquisition 1 Basic Data Characteristics Analysis of Data Exploration 2 Data Statistics and Analysis Based on pandas...
Previous
