Search result for Introduction to Big Data Online Courses & Certifications
FollowFilter ![]()
Filter ![]()
Showing 3,489 courses
By Category ![]()
By Subject![]()
By Language![]()
By Duration![]()
By Price![]()
Get Course Alerts by Email
Business Transformation with Google Cloud
by Google Cloud Training- 4.7
-
![]()
![]()
![]()
![]()
![]()
Approx. 11 hours to complete
What is cloud technology or data science and what’s all the hype about? Introduction and innovations throughout history Data as currency Introduction and mindset shift: The garage of innovation Introduction and transformation versus scaled improvement project Map your data ecosystem to create insights from your data Introduction and fundamental terms: privacy, security, compliance, and availability...
Business intelligence and data analytics: Generate insights
by David Pitt , Smit Rathore- 4.6
-
![]()
![]()
![]()
![]()
![]()
Approx. 29 hours to complete
‘Megatrends’ heavily influence today’s organisations, industries and societies, and your ability to generate insights in this area is crucial to your organisation’s success into the future. You will be introduced to key data analytics concepts such as systems thinking, multi-level perspectives and multidisciplinary methods for envisioning futures, and apply them to specific real-world challenges you and your organisation may face....
Contact Center AI: Building a Dynamic Virtual Agent
by Google Cloud Training- 4.6
-
![]()
![]()
![]()
![]()
![]()
Approx. 9 hours to complete
Welcome to "Contact Center AI Virtual Agent Customization w/Dialogflow", the second course in the "Customer Experiences with Contact Center AI" specialization. In this course, learn how to develop more customized customer conversational solutions using Contact Center Artificial Intelligence (CCAI). Course Introduction Course Introduction How to Send Feedback Moving From Chat to Voice Virtual Agent...
The Construction Industry: The Way Forward
by Ibrahim Odeh, Ph.D., MBA- 4.7
-
![]()
![]()
![]()
![]()
![]()
Approx. 6 hours to complete
This course provides an introduction on types of the construction projects as well as the main concern of the productivity challenge in the construction industry. Introduction Transformations Needed to Move Forward Big Data, AI&ML, and 3D printing...
Regression Models
by Brian Caffo, PhD , Roger D. Peng, PhD , Jeff Leek, PhD- 4.4
-
![]()
![]()
![]()
![]()
![]()
Approx. 54 hours to complete
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. Introduction to Regression Introductory Data Example Regression to the Mean Welcome to Regression Models...
Introduction to Apache Spark for Developers and Engineers
by Adastra Academy- 3.9
-
![]()
![]()
![]()
![]()
![]()
2 hours on-demand video
Basic to intermediate level introduction to Apache Spark that provides the main skills required to use the technology Data scientists and engineers Developers Individuals with a basic understanding of: Apache Hadoop, Big Data, programming languages (Scala, Java, or Python)For students unfamiliar with Big Data and Hadoop, the course will provide a brief overview of each topic....
$12.99
Interventions and Calibration
by Nimalan Arinaminpathy- 4.6
-
![]()
![]()
![]()
![]()
![]()
Approx. 24 hours to complete
Building on the SIR model, you will learn how to incorporate additional compartments to represent the effects of interventions, such the effect of vaccination in reducing susceptibility. Introduction to Least-Squares Calibration Perform simple calibrations of an SIR model against time-series data, selecting parameters to maximise the fit of the model to the data...
Related searches
Bayesian Statistics: Techniques and Models
by Matthew HeinerTop Instructor- 4.8
-
![]()
![]()
![]()
![]()
![]()
Approx. 30 hours to complete
It builds on the course Bayesian Statistics: From Concept to Data Analysis, which introduces Bayesian methods through use of simple conjugate models. Real-world data often require more sophisticated models to reach realistic conclusions. Course introduction Introduction to linear regression Introduction to ANOVA Introduction to logistic regression Count data and hierarchical modeling Introduction to Poisson regression...
Toxicology 21: Scientific Applications
by Lena Smirnova , Thomas Hartung- 4.7
-
![]()
![]()
![]()
![]()
![]()
Approx. 96 hours to complete
This course familiarizes students with the novel concepts being used to revamp regulatory toxicology in response to a breakthrough National Research Council Report “Toxicity Testing in the 21st Century: A Vision and a Strategy. Welcome to Module 2 Welcome to Module 3 Introduction to the OECD AOP Framework Introduction to Read-Across...
Image Understanding with TensorFlow on GCP
by Google Cloud Training- 4.6
-
![]()
![]()
![]()
![]()
![]()
Approx. 12 hours to complete
We will also look at practical issues that arise, for example, when you don’t have enough data and how to incorporate the latest research findings into our models. Images as Visual Data Structured vs Unstructured Data How to Send Feedback Introduction Introduction Dealing with Data Scarcity The Data Scarcity Problem Data Augmentation...
Previous
