Below you can find the best big data courses that are currently available on the internet. They are updated regularly with the aim to keep all their characteristics like price, level of difficulty, and certificate quality up to date so you can make an informed decision about which is the best big data course for you. Feel free to use the filters below to sift through the entire database on Courseroot. In the list below you will find all Big Data courses that we have in our database from Coursera. Coursera is an incredble platform for online classes with a high standard in regards to quality. They work with top universities across the globe, like Standford, Hardvard, UC Berkley, and many more, to make education more accessible via the internet.
Interested in increasing your knowledge of the Big Data landscape? This course is for those new to data science and interested in understanding why the Big Data Era has come to be. It is for those who want to become conversant with the terminology and the core concepts behind big data problems, applications, and systems. It is for those who want to start thinking abou... More information
This 1-week accelerated on-demand course introduces participants to the Big Data and Machine Learning capabilities of Google Cloud Platform (GCP). It provides a quick overview of the Google Cloud Platform and a deeper dive of the data processing capabilities. At the end of this course, participants will be able to: ... More information
This course is an introduction to how to use relational databases in business analysis. You will learn how relational databases work, and how to use entity-relationship diagrams to display the structure of the data held within them. This knowledge will help you understand how data needs to be collected in business contexts, and help you identify features you want to c... More information
The use of Excel is widespread in the industry. It is a very powerful data analysis tool and almost all big and small businesses use Excel in their day to day functioning. This is an introductory course in the use of Excel and is designed to give you a working knowledge of Excel with the aim of getting to use it for more advance topics in Business Statistics later. Th... More information
In this second MOOC in the Social Marketing Specialization - "The Importance of Listening" - you will go deep into the Big Data of social and gain a more complete picture of what can be learned from interactions on social sites. You will be amazed at just how much information can be extracted from a single post, picture, or video. In this MOOC, guest speakers from Soc... More information
At the end of the course, you will be able to: *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 *Identify when a big data problem needs data integration *Execute simple big data integration ... More information
You have most likely heard about Clouds and Big Data before, and already know how significantly important they are and will be in the future. Cloud Computing enables us to easily use software as well as processing platforms and computing infrastructure (that are not equipped on our computers and smartphones) from any location through Internet services. Big Data provid... More information
Want to make sense of the volumes of data you have collected? Need to incorporate data-driven decisions into your process? This course provides an overview of machine learning techniques to explore, analyze, and leverage data. 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... More information
This 1-week, accelerated on-demand course builds upon Google Cloud Platform Big Data and Machine Learning Fundamentals. Through a combination of instructor-led presentations, demonstrations, and hands-on labs, students learn how to carry out no-ops data warehousing, analysis and pipeline processing. Prerequisites: ... More information
Want to understand your data network structure and how it changes under different conditions? Curious to know how to identify closely interacting clusters within a graph? Have you heard of the fast-growing area of graph analytics and want to learn more? This course gives you a broad overview of the field of graph analytics so you can learn new ways to model, store, re... More information
This 1-week, accelerated on-demand course builds upon Google Cloud Platform Big Data and Machine Learning Fundamentals. Through a combination of video lectures, demonstrations, and hands-on labs, you'll learn how to build streaming data pipelines using Google Cloud Pub/Sub and Dataflow to enable real-time decision making. You will also learn how to build dashboards to... More information
This class provides an introduction to the Python programming language and the iPython notebook. This is the third course in the Genomic Big Data Science Specialization from Johns Hopkins University.... More information
Statistical experiment design and analytics are at the heart of data science. In this course you will design statistical experiments and analyze the results using modern methods. You will also explore the common pitfalls in interpreting statistical arguments, especially those associated with big data. Collectively, this course will help you internalize a core set of p... More information
This is the second course in the Data to Insights specialization. Here we will cover how to ingest new external datasets into BigQuery and visualize them with Google Data Studio. We will also cover intermediate SQL concepts like multi-table JOINs and UNIONs which will allow you to analyze data across multiple data sources. Note: Even if you have a background in SQL th... More information
In this course, we will show you exciting examples of collaborative, interactive web applications that use various types of media including sound, images and big data. We will show you how to build sites that provide precisely this functionality, using Meteor. We will also provide fully working example application code that you can use for your own commercial web proj... More information
Introduces to the commands that you need to manage and analyze directories, files, and large sets of genomic data. This is the fourth course in the Genomic Big Data Science Specialization from Johns Hopkins University.... More information
Welcome to the Cloud Computing Applications course, the first part of a two-course series designed to give you a comprehensive view on the world of Cloud Computing and Big Data! In this first course we cover a multitude of technologies that comprise the modern concept of cloud computing. Cloud computing is an information technology revolution that has just started to ... More information
Welcome to the Capstone Project for Big Data! In this culminating project, you will build a big data ecosystem using tools and methods form the earlier courses in this specialization. You will analyze a data set simulating big data generated from a large number of users who are playing our imaginary game "Catch the Pink Flamingo". During the five week Capstone Project... More information
Este curso acelerado on demand de 1 semana de duracion presenta a los participantes las funciones de macrodatos y aprendizaje automatico de Google Cloud Platform (GCP). Ofrece una descripcion general breve de Google Cloud Platform y profundiza en las funciones de procesamiento de datos. Al final del curso, los participantes podran realizar lo siguiente: ...
Este curso e indicado para profissionais que desejam entender de forma facil o que e Big Data, conhecer algumas tecnologias de Big Data, ter acesso a algumas aplicacoes de Analytics, Internet das Coisas - IOT e de Big Data. Ao final do curso voce sera capaz de participar de um projeto de Big Data contribuindo com estrategias e direcionando o projeto para a escolha da ...
The Library of Integrative Network-based Cellular Signatures (LINCS) is an NIH Common Fund program. The idea is to perturb different types of human cells with many different types of perturbations such as: drugs and other small molecules; genetic manipulations such as knockdown or overexpression of single genes; manipulation of the extracellular microenvironment condi... More information