A course is a unit of education. Typically, students take several courses while pursuing a degree. However, some courses can be taken by themselves to give certification or bridge the gap between degrees. This learning unit usually lasts a few weeks to a year.
What are courses in big data? They are courses designed to teach students how to analyze and understand large data sets. Participants may learn how to reveal trends, patterns and associations after analyzing big data. Introductory courses may take a more basic look at this subject, while advanced courses can delve into specifics of big data. Scholars studying computer science, engineering, artificial intelligence or management information systems may have to take some courses in this subject. The layout of a course can vary from school to school, but could include lectures, discussions and exams.
Studying big data gives participants a great foundation for critical-thinking, analyzation and organization skills. These sought-after abilities may make graduates more competitive applicants. In some cases, these well-honed abilities may lead to higher starting salaries.
The cost of a course can be different at each university. Sometimes the cost even depends on the course itself, its duration and the subject matter. Applicants who want to know the tuition may need to contact the school they are hoping to attend.
Graduates who spent a lot of time studying big data may have a variety of career opportunities, including information systems engineer, data scientist, network system architect, big data developer, software engineer, technology researcher and data analyst. Some students may have a completely different career outlook based on their degree and previous work history.
No matter where you live, you may be able to enroll in these types of courses. Many universities have online and on-campus programs. To learn more, search for your program below and contact directly the admission office of the school of your choice by filling in the lead form.
We are in the era of Big Data, unfold all your potential. [+]
Use the data as a strategic asset. Dispose of relevant information at decision times, eradicate inefficient operating processes and improve the experience of your customers. Feel the digital transformation and discover all your opportunities.
Professionals specialized in Big Data have experienced a strong labor demand, becoming one of the most demanded professions at present.Start: March 12, 2018 Duration: 60 h Modality: Online Degree: Big Data Executive Program and Visual Analytics advantage Gain agility in decision making Detect new business opportunities Exploit analytics for the development of your business Convert large volumes of data into valid and relevant information Improve your customer's knowledge Learn to implement data-based strategies To whom it May concern? ... [-]
In today's world data continuously, internet browsing, moving around the city, making card purchases using public services are generated, [+]
In today's world data continuously generated, surfing the internet, moving around the city, making card purchases using public services ... The amount of data continues to grow, and only those organizations able to convert these data into knowledge and value are going to be able to survive and grow in an increasingly competitive environment.
In this postgraduate course in 'Big Data' they will be studied and applied to real cases of Telefónica R & D tools and more important for 'Big Data' technologies.GOALS Meet new methodologies for analyzing massive amounts of data generated by applications like twitter, social networking, biomedical technologies etc. Knowing the most widely used programming tools to develop applications within the field of 'Big Data' and to analyze complex data. Knowing the characteristics and working with real applications that generate massive amounts of data and require the development of advanced tools 'data mining'. priority to applications that work the center of Telefónica I + D will. Implemented using the prototypes studied languages and tools that provide solutions to open problems in applications of 'big data'. priority to those issues forward for Telefónica I + D will. Professional profiles Data Analyst Data scientist Information Systems Engineer Curricula ... [-]
Hive is like a new friend with an old face (SQL). This course is an end-to-end, practical guide to using Hive for Big Data processing. [+]
Prerequisites: Hive requires knowledge of SQL. The course includes an SQL primer at the end. Please do that first if you don't know SQL. You'll need to know Java if you want to follow the sections on custom functions.
Taught by a 4 person team including 2 Stanford-educated, ex-Googlers and 2 ex-Flipkart Lead Analysts. This team has decades of practical experience in working with large-scale data.
Hive is like a new friend with an old face (SQL). This course is an end-to-end, practical guide to using Hive for Big Data processing.
Let's parse that
A new friend with an old face: Hive helps you leverage the power of Distributed computing and Hadoop for Analytical processing. Its interface is like an old friend: the very SQL like HiveQL. This course will fill in all the gaps between SQL and what you need to use Hive.... [-]
his course is a really comprehensive guide to the Google Cloud Platform - it has ~25 hours of content and ~60 demos. The Google Cloud Platform is not currently the most popular cloud offering out there - that's AWS of course - but it is possibly the best cloud offering for high-end machine learning applications. That's because TensorFlow, the super-popular deep learning technology is also from Google. [+]
This course is a really comprehensive guide to the Google Cloud Platform - it has ~25 hours of content and ~60 demos.
The Google Cloud Platform is not currently the most popular cloud offering out there - that's AWS of course - but it is possibly the best cloud offering for high-end machine learning applications. That's because TensorFlow, the super-popular deep learning technology is also from Google.What's Included: Compute and Storage - AppEngine, Container Engineer (aka Kubernetes) and Compute Engine Big Data and Managed Hadoop - Dataproc, Dataflow, BigTable, BigQuery, Pub/Sub TensorFlow on the Cloud - what neural networks and deep learning really are, how neurons work and how neural networks are trained. DevOps stuff - StackDriver logging, monitoring, cloud deployment manager Security - Identity and Access Management, Identity-Aware proxying, OAuth, API Keys, service accounts Networking - Virtual Private Clouds, shared VPCs, Load balancing at the network, transport and HTTP layer; VPN, Cloud Interconnect and CDN Interconnect Hadoop Foundations: A quick look at the open-source cousins (Hadoop, Spark, Pig, Hive and HBase) Who is the target audience? Yep! Anyone looking to use the Google Cloud Platform in their organizations Yep! Anyone who is interesting in architecting computers, networking, loading balancing and other solutions using the GCP Yep!Anyone who wants to deploy serverless analytics and big data solutions on the Google Cloud Yep! Anyone looking to build TensorFlow models and deploy them in the cloud BASIC KNOWLEDGE Basic understanding of technology - superficial exposure to Hadoop is enough. WHAT YOU... [-]
This course is a zoom-in, zoom-out, hands-on workout involving Hadoop, MapReduce and the art of thinking parallel. [+]
Taught by a 4 person team including 2 Stanford-educated, ex-Googlers and 2 ex-Flipkart Lead Analysts. This team has decades of practical experience in working with Java and with billions of rows of data.
This course is a zoom-in, zoom-out, hands-on workout involving Hadoop, MapReduce and the art of thinking parallel.
Let’s parse that.
Zoom-in, Zoom-Out: This course is both broad and deep. It covers the individual components of Hadoop in great detail and also gives you a higher level picture of how they interact with each other.
Hands-on workout involving Hadoop, MapReduce: This course will get you hands-on with Hadoop very early on. You'll learn how to set up your own cluster using both VMs and the Cloud. All the major features of MapReduce are covered - including advanced topics like Total Sort and Secondary Sort.... [-]
Deal with large numbers and key information in this Big Data Course Are interested in understanding and protecting big data? Do you want to utilize any data that have been presented to you to its full extent? This Innovative Course will solve all of your problems! [+]
Understanding Big Data is CPD certified and CiQ Gold accredited. This makes it perfect for anyone trying to learn potential professional skills.
As there is no experience and qualification required for this course, it is available for all students from any academic backgrounds.... [-]
A self-paced course that helps you to understand the various Statistical Techniques from the very basics and how each technique is employed on a real-world data set to analyze and conclude insights. [+]
A self-paced course that helps you to understand the various Statistical Techniques from the very basics and how each technique is employed on a real-world data set to analyze and conclude insights.
The self-paced Statistics Essentials for Analytics Course is designed for the learners to understand and implement various statistical techniques. These techniques are explained using dedicated examples. The use case is taken up at the end of each module and insights are gathered, thus at the end of the course, we have a Project which is consistently worked upon throughout the course.Course Objectives
After the completion of this course at Edureka, you should be able to:
Learn various statistical techniques like Sampling Methods, Conditional Probability, Bayesian Theorem, etc.... [-]
Edureka's AWS Training will introduce the participants to explore and master AWS concepts and services offered by AWS. [+]
Edureka's AWS Training will introduce the participants to explore and master AWS concepts and services offered by AWS.
Participants will be offered guidance and will share a lot of demos on each topic with real-time examples of high availability, load balancing, data redundancy and day to day operations in managing cloud services.
Participants will also get to implement one project towards the end of the course.Course Highlights 12 Instructor-led Interactive online classes of 3 hours each. Assignments at end of each class to reinforce the concepts Project work at end of the course to give a complete hands-on experience to participants in the implementation of various AWS services. Lifetime access to Class recordings and presentations on edureka! Learning Management System (LMS). Lifetime access to installation guides, sample codes and project documents edureka! Learning Management System (LMS). 24x7 online support team available to help participants with any technical queries they may have during the course. A skill certificate in AWS Development Training from edureka! Course Objectives ... [-]
Edureka's Real-Time Analytics with Apache Kafka course is designed to provide knowledge and skills to become a successful Kafka Big Data Developer. It will encompass the fundamental concepts like Kafka cluster, Kafka API to advance topics such as Kafka integration with Hadoop, Storm, Spark, Maven etc. [+]
Edureka's Real-Time Analytics with Apache Kafka course is designed to provide knowledge and skills to become a successful Kafka Big Data Developer. It will encompass the fundamental concepts like Kafka cluster, Kafka API to advance topics such as Kafka integration with Hadoop, Storm, Spark, Maven etc. The course also covers installation & configuration of Kafka and other components like Hadoop, Spark, Storm, Maven etc.Course Objectives
After the completion of Real-Time Analytics with Apache Kafka course at Edureka, you should be able to:Understand Kafka and its components Set up an end to end Kafka cluster along with Hadoop and Yarn cluster Integrating Kafka with real-time streaming systems like Spark & Storm Describe the basic and advanced features involved in designing and developing a high throughput messaging system Use Kafka to produce and consume messages from various sources including real-time streaming sources like Twitter Understanding the insights of Kafka API Work on a real-life Project, implementing Twitter streaming with Kafka, Hadoop & Storm Who should go for this course? ... [-]
Edureka’s Big Data Hadoop online training is designed to help you become a top Hadoop developer. [+]
Edureka’s Big Data Hadoop online training is designed to help you become a top Hadoop developer.
During this course, our expert instructors will help you:Master the concepts of HDFS and MapReduce framework Understand Hadoop 2.x Architecture Setup Hadoop Cluster and write Complex MapReduce programs Learn data loading techniques using Sqoop and Flume Perform data analytics using Pig, Hive, and YARN Implement HBase and MapReduce integration Implement Advanced Usage and Indexing Schedule jobs using Oozie Implement best practices for Hadoop development Work on a real-life Project on Big Data Analytics Understand Spark and its Ecosystem Learn how to work in RDD in Spark Who should go for this Hadoop Course? ... [-]
This Spark training will enable learners to understand how Spark executes in-memory data processing and runs much faster than Hadoop MapReduce. Learners will master Scala programming and will get trained on different APIs which Spark offers such as Spark Streaming, Spark SQL, Spark RDD, Spark MLlib and Spark GraphX. [+]
This Spark training will enable learners to understand how Spark executes in-memory data processing and runs much faster than Hadoop MapReduce. Learners will master Scala programming and will get trained on different APIs which Spark offers such as Spark Streaming, Spark SQL, Spark RDD, Spark MLlib and Spark GraphX. This Edureka course is an integral part of Big Data developer's learning path.Course Objectives
After completing the Apache Spark training, you will be able to:Understand Scala and its implementation Master the concepts of Traits and OOPS in Scala programming Install Spark and implement Spark operations on Spark Shell Understand the role of Spark RDD Implement Spark applications on YARN (Hadoop) Learn Spark Streaming API Implement machine learning algorithms in Spark MLlib API Analyze Hive and Spark SQL architecture Understand Spark GraphX API and implement graph algorithms Implement Broadcast variable and Accumulators for performance tuning Project Who should go for this Course? ... [-]
Understand how blockchain works, where the technology has come from and why it will empower energy customers like never before. [+]
This online course studies the incredibly disruptive potential of blockchain technology in the energy sector. You will look at how blockchain works and start to understand the background, value proposition and geopolitical context that brought it to the center of everyone’s attention.
The course will offer a clear overview of how and why blockchain will take over the energy sector, optimizing old processes and empowering the customers like never before. This will create a new paradigm, where users can buy and sell energy from and to each other.What topics will you cover? What is blockchain? Digital currencies The evolution and future of blockchain Smart contracts and decentralized applications Blockchain in the energy sector: the new paradigm P2P energy trading Blockchain applied to EV charging What will you achieve? ... [-]
From sources such as satellites, sensors, and social media, how can environmental data analytics benefit business and research?[+]
From weather fluctuations to the spread of an invasive species, what problems can scientists address by analyzing these vast data collections? What are the potential benefits of business, research, and our daily lives?
Find out about possible career paths and gain insights from industry experts and research scientists working on a range of current projects. From urban planning to monitoring wildlife, explore the complexities of managing and analyzing big data to seek innovative solutions.What topics will you cover?
Week 1: Introduction to big dataSources of big data, including satellites for looking at the surface of the Earth Environmental analytics and the link to big data Computing power, processing, and storage of environmental data ... [-]
Learn how predictive analytics tools can help you gain insights from big data. Collecting big data is just the first step; once you have it, how do you make sense of it? This free online course will show you how predictive analytics tools can help you gain information, knowledge and insights from big data. [+]
Learn how predictive analytics tools can help you gain insights from big data. Collecting big data is just the first step; once you have it, how do you make sense of it? This free online course will show you how predictive analytics tools can help you gain information, knowledge and insights from big data.
Over the next four weeks, experience the power of HPE’s Vertica Analytics platform as an applied tool. Using Vertica Analytics and a case study approach, apply built-in predictive analytics functions and algorithms – linear regression, logistics regression and k-means clustering – to derive insight from your data, helping to create opportunities for your organisation.What topics will you cover? Modelling, estimation and prediction Estimation and prediction using linear regression Estimation and prediction using logistic regression Estimation and prediction using k-means clustering What will you achieve? Describe big data analytics Identify solutions to big data problems Evaluate predictive data analysis models Assess the suitability of predictive models Model data using various predictive models Who is the course for? ... [-]
Learn how to apply selected mathematical modeling methods to analyze big data in this free online course.[+]
Have you ever wondered how mathematics can be used to solve big data problems? This course will show you how. Mathematics is everywhere, and with the rise of big data it becomes a useful tool when extracting information and analyzing large datasets.Learn how maths underpins big data analysis
We will begin by explaining how maths underpins many of the tools that are used to manage and analyze big data. We will show you how very different applied problems can have common mathematical aims, and therefore can be addressed using similar mathematical tools. We will then proceed to introduce three such tools, based on a linear algebra framework. These tools and the problems that they address are:... [-]