Search result for Big data analysis Online Courses & Certifications
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Advanced Manufacturing Process Analysis
by Rahul Rai- 4.6
Approx. 13 hours to complete
Through this course, students will learn why performing advanced analysis of manufacturing processes is integral for diagnosing and correcting operational flaws in order to improve yields and reduce costs. Introduction to Advanced Manufacturing Process Analysis The Data Analysis Process Data Collection in Different Manufacturing Settings Big Data Resources: Traditional Data Sets versus Big Data...
Foundations of mining non-structured medical data
by Alejandro Rodríguez González , Consuelo Gonzalo-Martín , Ernestina Menasalvas- 4
Approx. 7 hours to complete
Big Data (I) Big Data (II) Big Data in medical domain: opportunities and challenges Challenges in unstructured data in health domain Challenges in unstructured data in health: evaluation test Medical Image Analysis Data Analysis of structured information Data mining problems and techniques Data mining basics (I) Data mining basics (II) Data analysis: evaluation test...
Spatial Data Science and Applications
by Joon Heo- 4.4
Approx. 12 hours to complete
Additionally, this course could make learners realize the value of spatial big data and the power of open source software's to deal with spatial data science problems. Spatial Big Data Spatial Data Analysis Spatial DBMS and Big Data Systems Spatial Big Data Management and Analytics - Taxi Trajectory Analysis for Finding Pick-up Hotspots...
Big data and Language 2
by Seonmin Park- 0.0
Approx. 5 hours to complete
In this course, students will understand characteristics of language through big data. Students will learn how to collect and analyze big data, and find linguistic features from the data. Analysis Tools I – BNC Considerations of Big Data and Language Big Data for Different Languages Limitations of Big Data Future directions of Big Data...
Introduction to Big Data
by Ilkay Altintas , Amarnath Gupta- 4.6
Approx. 17 hours to complete
It provides an introduction to one of the most common frameworks, Hadoop, that has made big data analysis easier and more accessible -- increasing the potential for data to transform our world! * Explain the V’s of Big Data (volume, velocity, variety, veracity, valence, and value) and why each impacts data collection, monitoring, storage, analysis and reporting....
Foundations for Big Data Analysis with SQL
by Glynn Durham- 4.8
Approx. 12 hours to complete
Then you'll learn the characteristics of big data and SQL tools for working on big data platforms. Big Data Big Data SQL Tools for Big Data Analysis SQL Tools for Big Data Analysis Recognize the features and benefits of SQL dialects designed to work with big data systems for storage and analysis...
Big Data Emerging Technologies
by Jong-Moon Chung- 4.7
Approx. 30 hours to complete
Then the lectures focused on how big data analysis is possible based on the world’s most popular three big data technologies Hadoop, Spark, and Storm. The last part focuses on providing experience on one of the most famous and widely used big data statistical analysis systems in the world, the IBM SPSS Statistics. 1 Big Data Market Analysis...
Machine Learning With Big Data
by Mai Nguyen , Ilkay Altintas- 4.6
Approx. 22 hours to complete
You will be introduced to tools and algorithms you can use to create machine learning models that learn from data, and to scale those models up to big data problems. Welcome to Machine Learning With Big Data Summary of Big Data Integration and Processing Introduction to Machine Learning with Big Data Machine Learning With Big Data - Final Remarks...
Intro to Data Science
by Dave Holtz , Cheng-Han Lee- 0.0
Approx. 2 months
You will have an opportunity to work through a data science project end to end, from analyzing a dataset to visualizing and communicating your data analysis. lesson 3 Data Analysis Statistical rigor. An analysis of Napoleon's invasion of Russia! Don (Principal Data Scientist @ AT&T): Communicating Findings. lesson 5 MapReduce Introduction to Big Data and MapReduce....
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Business intelligence and data warehousing
by María del Pilar Ángeles- 3.9
Approx. 10 hours to complete
This course will be completed on six weeks, it will be supported with videos and various documents that will allow you to learn in a very simple way how to identify, design and develop analytical information systems, such as Business Intelligence with a descriptive analysis on data warehouses. The problem of integration and analysis of unstructured data...