Search result for Big data coursera Online Courses & Certifications
FollowFilter ![]()
Filter ![]()
Showing 18 courses
By Category ![]()
By Subject![]()
By Language![]()
By Duration![]()
By Price![]()
Get Course Alerts by Email
Addressing Large Hadron Collider Challenges by Machine Learning
by Andrei Ustyuzhanin , Mikhail Hushchyn- 4.5
-
![]()
![]()
![]()
![]()
![]()
Approx. 24 hours to complete
The Large Hadron Collider (LHC) is the largest data generation machine for the time being. It doesn’t produce the big data, the data is gigantic. The intensity of data flow is only going to be increased over the time. Introduction into particle physics for data scientists Data vs Simulation Agreement Getting Data Before Experiment is built...
Exploring and Preparing your Data with BigQuery
by Google Cloud Training- 4.7
-
![]()
![]()
![]()
![]()
![]()
Approx. 13 hours to complete
Welcome to the Coursera specialization, From Data to Insights with Google Cloud Platform brought to you by the Google Cloud team. Here we will see what the common challenges faced by data analysts are and how to solve them with the big data tools on Google Cloud Platform. Introduction: From Data to Insights with Google Cloud Platform specialization...
IBM AI Engineering Professional Certificate
- 0.0
-
![]()
![]()
![]()
![]()
![]()
Learn how to provide business insights from big data using machine learning and deep learning techniques. Artificial intelligence (AI) is revolutionizing entire industries, changing the way companies across sectors leverage data to make decisions. Through hands-on projects, you’ll gain essential data science skills scaling machine learning algorithms on big data using Apache Spark....
Introduction to High-Performance and Parallel Computing
by Shelley Knuth , Thomas Hauser- 3.4
-
![]()
![]()
![]()
![]()
![]()
Approx. 18 hours to complete
This course can be taken for academic credit as part of CU Boulder’s Master of Science in Data Science (MS-DS) degree offered on the Coursera platform. Data vs....
Population Health: Responsible Data Analysis
by Mar Rodriguez Girondo , Jelle Goeman , Saskia le Cessie- 4.6
-
![]()
![]()
![]()
![]()
![]()
Approx. 21 hours to complete
In most areas of health, data is being used to make important decisions. You do not need to install R on your computer to follow the course, you will be able to access R and all the example data sets within the Coursera environment. Welcome to Responsible Data Analysis Population health: Responsible Data Analysis...
Communicating Data Science Results
by Bill Howe- 3.6
-
![]()
![]()
![]()
![]()
![]()
Approx. 8 hours to complete
In this course you will explore the ethical considerations around big data and how these considerations are beginning to influence policy and practice. Explain the state-of-the-art in privacy, ethics, governance around big data and data science 03 Data Types: Definitions 04 Mapping Data Types to Visual Attributes Reproducibility for Big Data...
Fundamentals of Scalable Data Science
by Romeo Kienzler- 4.3
-
![]()
![]()
![]()
![]()
![]()
Approx. 20 hours to complete
Apache Spark is the de-facto standard for large scale data processing. This is the first course of a series of courses towards the IBM Advanced Data Science Specialization. • Identify useful techniques for working with big data such as dimension reduction and feature selection methods Data storage solutions Data Visualization of Big Data...
Business Metrics for Data-Driven Companies
by Daniel Egger , Jana Schaich Borg- 4.6
-
![]()
![]()
![]()
![]()
![]()
Approx. 8 hours to complete
Finally, you will be able to use a checklist provided in the course to score any company on how effectively it is embracing big data culture. Working in the Business Data Analytics Marketplace Roles and Companies as They Relate to Big Data Overview of 5 Types of Companies as They Relate to Big Data...
Abstraction, Problem Decomposition, and Functions
by Dr. Tim "Dr. T" Chamillard- 4.7
-
![]()
![]()
![]()
![]()
![]()
Approx. 17 hours to complete
Prerequisite computational thinking knowledge: Algorithms and procedures and data collection, analysis, and representation Prerequisite C knowledge: Data types, variables, constants; STEM computations; selection; and iteration (looping) Navigating a Coursera Course How Big Is an Array? Returning Data From a Function Passing Data Into a Function...
Google Cloud Professional Data Engineer Course [2019 Update]
by Samuel Lee- 4.2
-
![]()
![]()
![]()
![]()
![]()
4.5 hours on-demand video
Take this course to prepare for the GCP Data Engineers Exam. Hi I’m Sam, a big data engineer, full stack web developer and machine learning/AI Enthusiast teaching you GCP in the most efficient and down to earth approach. All the practicals in this course show you techniques used by big data engineers on the GCP....
$15.99
