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? ... [-]
A perfect blend of Technology, Data Science and business cases and insights, this program stands out as among the best in the world. [+]
An internship allows you to apply classroom knowledge in real life situations. We help you find relevant work experience opportunities in organizations involved in Big Data Analytics.
Our Placement Division helps our students meet companies that practice Big Data Analytics. Our Placement Division has positioned students in some of the top companies like Siemens, American Megatrends, Dell, and HCL.
This course involves several hours of Live Faculty session and recorded live session. It also has multiple guest lectures every month. Along with live classes, the course has industry catalyzers, opinion polls, observers, and self-assessments.... [-]
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.... [-]
Big Data Hadoop training course lets you master the concepts of the Hadoop framework and prepares you for Cloudera’s CCA175 Big data certification. With our online Hadoop training, you’ll learn how the components of the Hadoop ecosystem, such as Hadoop 2.7, Yarn, MapReduce, HDFS, Pig, Impala, HBase, Flume, Apache Spark, etc. fit in with the Big Data processing lifecycle. Implement real life projects in banking, telecommunication, social media, insurance, and e-commerce on CloudLab. [+]
Big Data Hadoop training course lets you master the concepts of the Hadoop framework and prepares you for Cloudera’s CCA175 Big data certification. With our online Hadoop training, you’ll learn how the components of the Hadoop ecosystem, such as Hadoop 2.7, Yarn, MapReduce, HDFS, Pig, Impala, HBase, Flume, Apache Spark, etc. fit in with the Big Data processing lifecycle. Implement real life projects in banking, telecommunication, social media, insurance, and e-commerce on CloudLab.... [-]
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:... [-]
This free online course equips you for working with these solutions by introducing you to selected statistical and machine learning techniques used for analysing large datasets and extracting information. [+]
Many people have big data but only some people know what to do with it. Why? Well, the big problem is that the data is big—the size, complexity and diversity of datasets increase every day. This means we need new solutions for analysing data.
This course equips you for working with these solutions by introducing you to selected statistical and machine learning techniques used for analysing large datasets and extracting information. We also expose you to three software packages so you can develop your coding skills by completing practical exercises.What will you achieve? Identify big data application areas Explore big data frameworks Model and analyse data by applying selected techniques Demonstrate an integrated approach to big data Develop an awareness of how to participate effectively in a team working with big data experts Who is the course for? ... [-]
In the world, organizations generate, collect, store, process and analyze more and more data. We are facing an "explosion of the quantity available", since the growth of these is at least exponential. [+]
In the world, organizations generate, collect, store, process and analyze more and more data. We are facing an "explosion of the quantity available", since the growth of these is at least exponential. According to a study by Gartner, cited by Jaspersoft, the volume generated in 2009 alone was greater than that created in the previous 5,000 years (Jaspersoft, nd). Also in 2009, Computerworld, in its publication of the 10 most important trends in ICT management, stressed that "in the next five years, company data will grow an additional 650%."Profiles
Training objective: The graduate of the Specialization in Big Data and Business Intelligence is competent to:... [-]