AdelaideX: Big Data Analytics
|
Learn key technologies and techniques, including R and Apache Spark, to analyse large-scale data sets to uncover valuable business information.
About this course
Gain essential skills in today’s digital age to store, process and analyse data to inform business decisions.
In this course, part of the Big Data MicroMasters program, you will develop your knowledge of big data analytics and enhance your programming and mathematical skills. You will learn to use essential analytic tools such as Apache Spark and R.
Topics covered in this course include:
cloud-based big data analysis;
predictive analytics, including probabilistic and statistical models;
application of large-scale data analysis;
analysis of problem space and data needs.
By the end of this course, you will be able to approach large-scale data science problems with creativity and initiative.
At a Glance:
Institution: AdelaideX
Subject: Computer Science
Level: Intermediate
Prerequisites:
Candidates pursuing the MicroMasters program are advised to completeProgramming for Data Science,Computational Thinking and Big Data&Big Data Fundamentalsbefore undertaking this course.
Language: English
Video Transcript: English
Associated programs:
MicroMasters® Program in Big Data
Associated skills:Apache Spark, Analytic Applications, Big Data Analytics, Data Analysis, Data Science, Big Data, Creativity, Statistical Modeling
What You’ll Learn:
About this course
Gain essential skills in today’s digital age to store, process and analyse data to inform business decisions.
In this course, part of the Big Data MicroMasters program, you will develop your knowledge of big data analytics and enhance your programming and mathematical skills. You will learn to use essential analytic tools such as Apache Spark and R.
Topics covered in this course include:
cloud-based big data analysis;
predictive analytics, including probabilistic and statistical models;
application of large-scale data analysis;
analysis of problem space and data needs.
By the end of this course, you will be able to approach large-scale data science problems with creativity and initiative.
User Reviews
Be the first to review “AdelaideX: Big Data Analytics”
Related Products
IBM: The Data Science Method
Learn about the methodology, practices and requirements behind data science to better understand how to problem solve with data and ensure data is relevant and properly manipulated to address a variety of real-world projects and business scenarios.
Data Science in Production: Building Scalable Model Pipelines
Learn how to build scalable model pipelines for data science in production environments, focusing on best practices for deployment and management.
HKUSTx: Foundations of Data Analytics
Learn the fundamental techniques for data analytics and to be prepared for learning and applying more advanced big data technologies.
Spark
Gain expertise in using Apache Spark for large-scale data processing and analytics.
TokyoTechX: Introduction to Computer Science and Programming
The term “Computation” refers to the action performed by a computer. A computation can be a basic operation and it can also be a sophisticated computer simulation requiring a large amount of data and substantial resources. This course aims at introducing learners with no prior knowledge to the basic key concepts of computer science. By following the lectures and exercises of this course, you will gain an understanding of algorithms by programming using the language Ruby.
There are no reviews yet.