Search result for Introduction to big data pdf Online Courses & Certifications
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Big Data Integration and Processing
by Ilkay Altintas , Amarnath Gupta- 4.4
Approx. 18 hours to complete
*Retrieve data from example database and big data management systems *Describe the connections between data management operations and the big data processing patterns needed to utilize them in large-scale analytical applications Completion of Intro to Big Data is recommended. Welcome to Big Data Integration and Processing Exporting Data from MongoDB to a CSV File...
Healthy Aging and the Future of Cannabis Research
by Kent Hutchison- 4.8
Approx. 8 hours to complete
This Healthy Aging and Future of Cannabis Research course is designed to have you think critically about the health effects of cannabis (i. Introduction to Module Lecture PDF Lecture PDF Lecture PDF Lecture PDF Introduction to Module Lecture PDF Lecture PDF Lecture PDF Lecture PDF Introduction to Module Introduction to Module...
Hadoop Platform and Application Framework
by Natasha Balac, Ph.D. , Paul Rodriguez , Andrea Zonca- 4
Approx. 26 hours to complete
In the assignments you will be guided in how data scientists apply the important concepts and techniques such as Map-Reduce that are used to solve fundamental problems in big data. You'll feel empowered to have conversations about big data and the data analysis process. Introduction to the Hadoop Stack Introduction to Apache Pig...
Advanced Manufacturing Process Analysis
by Rahul Rai- 4.6
Approx. 13 hours to complete
Gain insights into the best ways to collect, prepare and analyze data, as well as computational platforms that can be leveraged to collect and process data over sustained periods of time. Introduction to Advanced Manufacturing Process Analysis Introduction to Advanced Manufacturing Process Analysis Big Data Resources: Traditional Data Sets versus Big Data...
Spatial Data Science and Applications
by Joon Heo- 4.4
Approx. 12 hours to complete
Consequently, they are bound to hire more and more spatial data scientists. 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. 1 Introduction to Spatial Data Science Spatial Big Data Spatial DBMS and Big Data Systems...
Big Data Analytical Platform on Alibaba Cloud
by Derek Meng- 4.5
Approx. 8 hours to complete
This course is designed to teach engineers how to use Alibaba Cloud Big Data products. Alibaba Cloud Big Data - Data Integration: https://edu. Introduction to Hadoop in Big Data Ecosystem Take data in different formats to Put in Alibaba Cloud Big Data Products Draw Graphs and Tables to demonstrate the analysis of Big Data Results...
The Data Scientist’s Toolbox
by Jeff Leek, PhD , Roger D. Peng, PhD , Brian Caffo, PhD- 4.6
Approx. 18 hours to complete
In this course you will get an introduction to the main tools and ideas in the data scientist's toolbox. The first is a conceptual introduction to the ideas behind turning data into actionable knowledge. The second is a practical introduction to the tools that will be used in the program like version control, markdown, git, GitHub, R, and RStudio....
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Project Planning and Machine Learning
by David Sluiter- 4.7
Approx. 17 hours to complete
* How basic file systems operate, and types of file systems used to store big data * Why we want to study big data and how to prepare data for machine learning algorithms Segment 1 - Learning Outcomes, Introduction to a Design Process Segment 1 - Learning Outcomes, Introduction to Thermistors...
Cloud Computing Applications, Part 2: Big Data and Applications in the Cloud
by Reza Farivar , Roy H. Campbell- 4.3
Approx. 20 hours to complete
We finish up week two with a presentation on Distributed Publish/Subscribe systems using Kafka, a distributed log messaging system that is finding wide use in connecting Big Data and streaming applications together to form complex systems. 1 Introduction to Distros 1 Big Data Machine Learning Introduction 9 Introduction to Deep Learning...
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...