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Big Data Courses

170 Courses

California Institute of Technology Udemy

Modeling Data Warehouse with Data Vault 2.0

Modeling Data Warehouse with Data Vault 2.0 Course - Udemy Join our comprehensive course on "Modeling Data Warehouse with Data Vault 2.0" offered by Udemy. This course dives into the essentials and fundamentals of Data Vault 2.0, integrated with Agile Methodology and Big Data principles. Perfect for anyone looking to enhance their skil.
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provider Udemy
pricing Paid Course
duration 5 hours 55 minutes
sessions On-Demand
California Institute of Technology University of Naples Federico II

Applied Python Data Engineering

Applied Python Data Engineering Learn how to use data engineering to leverage big data for business strategy, data analysis, or machine learning and AI. By completing this course series, you'll empower yourself with the knowledge and proficiency required to build efficient data pipelines, manage cutting-edge platforms like Hadoop, Spar.
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provider Coursera  Specialization
pricing Paid Course
California Institute of Technology edX

Revolución 4.0: implicaciones éticas, laborales y educativas

Revolución 4.0: implicaciones éticas, laborales y educativas Esta acción formativa es un espacio dirigido a todo tipo de profesionales que deseen aprender o reforzar sus conocimientos sobre la Revolución 4.0, reconociendo su dinámica en la vida diaria y global de los sujetos, con el fin de comprender las nuevas habilidades que se requieren de los.
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provider edX
pricing Free Online Course (Audit)
duration 4 weeks, 4-6 hours a week
sessions On-Demand
California Institute of Technology Tecnológico de Monterrey

Minería de datos aplicada al marketing

Minería de datos aplicada al marketing ¿Conoces realmente a tus clientes? ¿Sabes qué productos compran o te basas en suposiciones? En este curso, aprenderás a construir modelos basados en técnicas de minería de datos para obtener información relevante de tus clientes y descubrir patrones de comportamiento, permitiéndote definir estrategias de mar.
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provider edX  Professional Certificate
pricing $78.00
duration 10 weeks, 4-5 hours a week
California Institute of Technology Udemy

Pentaho, infinitas possibilidades

Pentaho, infinitas possibilidades Apresentado por Ricardo Gouvêa, CEO da Openin Big Data, conheça as infinitas possibilidades usando Pentaho. University: Provider: Udemy Categories: Machine Learning Courses, Big Data Courses, Business Intelligence Courses
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provider Udemy
pricing Free Online Course
duration 1 hour
sessions On-Demand
California Institute of Technology Tecnológico de Monterrey

Minería de Datos: Análisis de la Canasta de Compra

Para el proceso de minería de datos es fundamental conocer a priori qué productos compran nuestros clientes y hacer un análisis de la cesta de la compra con los datos de entrada disponibles. Este conocimiento debe ser profundo, no solo es necesario conocer los productos que compran, sino también los patrones de comportamiento, es decir, las re.
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provider edX
pricing Free Online Course (Audit)
duration 5 weeks, 4-5 hours a week
sessions On-Demand
California Institute of Technology Universidad de los Andes

Ciencia de Datos

Ciencia de Datos - Universidad de los Andes | edX Cada vez es más común escuchar sobre el big data y el Data Science o ciencia de datos y cómo estos son necesarios para llevar al éxito a las organizaciones. El análisis de datos y el big data están tomando cada vez más relevancia en las organizaciones hoy en día. De acuerdo al reporte de IBM: THE Q.
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provider edX  Professional Certificate
pricing $177.00
duration 12 weeks, 3-5 hours a week
California Institute of Technology edX

Fundamentos de la Tecnología Blockchain

Fundamentos de la Tecnología Blockchain Blockchain technology is revolutionizing information systems and the way we transfer value over the Internet, opening a new range of opportunities to improve organizations, eliminate intermediaries and design more efficient business models. With the arrival of Bitcoin and cryptoassets, there also came the op.
provider edX
pricing Free Online Course (Audit)
duration 5 weeks, 7-10 hours a week
sessions On-Demand
California Institute of Technology Google Cloud Skills Boost

Google Cloud Computing Foundations: Data, ML, and AI in Google Cloud - Locales

This course, Google Cloud Computing Foundations: Data, ML, and AI in Google Cloud - Locales, is intended for non-English learners. If you want to take this course in English, please enroll in Google Cloud Computing Foundations: Data, ML, and AI in Google Cloud. The Google Cloud Computing Foundations courses are designed for individuals with lit.
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provider Google Cloud Skills Boost
pricing Paid Course
duration 16 hours
sessions On-Demand
California Institute of Technology Udemy

The Data Strategy Course: Building a Data-driven Business

The Data Strategy Course: Building a Data-driven Business | Udemy The Data Strategy Course: Building a Data-driven Business Master the art of leveraging data to enhance your business performance with our practical guide. Enroll in Udemy's comprehensive course and learn how to position your business for success through intelligent dat.
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provider Udemy
pricing Paid Course
duration 4 hours 40 minutes
sessions On-Demand

Becoming a Big Data Analyst: A Step-by-Step

Big data analysis is a relatively new, but quite in-demand area of the labour market. The demand for data scientists is constantly growing. Big Data are data sets of very large size, which are also characterised by diversity and high update rate. A big data analyst is a specialist who identifies and investigates patterns in data using special software tools.

Overview of Big Data and AI

The generation and sharing of big data across devices is happening in almost every social sphere. Big Data is used by giants such as Google, Uber, IBM, Amazon to optimise customer experience, reduce the risk of fraud and data security threats. Big Data specialists after big data and ai courses are needed in: marketing, search technology, retail, social media, gaming, personalisation, speech technology, financial institutions and recommendation systems.

Skills You Will Gain

It is not necessary for an analyst to have a university degree in information technology. However, a Data Analyst must understand business processes, understand statistics, perform machine learning, and be able to work with tools.

Types of data analysis:

The duties of the analyst also include tasks on Business Inteligence (BI) and optimisation of processes in production. A specialist should know the methods of analysing business processes: SWOT, ABC, IDEF, BPMN, MTP, PDCA, EPC and others.

Basic Data Analyst skills:

Additionally, the analyst may use Apache Storm, Apache Kinesis, Apache Spark Streaming.

Big Data specialists need to be able to build graphical models using Bayesian and neural networks, clustering and types of analysis. A Data Scientist, Data Analyst or Data Engineer should be skilled in working with Data Lakes, as well as security and Data Governance. Becoming an expert will help you develop each of these skills in depth.

Why Learn Big Data and AI?

In the era of digital transformation, when the amount of data doubles every two years, the art of analysing and using it has become not just an important skill but also a key competitive advantage. In the different fields, traditionally based on knowledge and experience, big data and machine learning course opens new horizons. With the ability to analyse data in depth, we have a tool that allows us to not only respond to current educational needs, but also to predict them, adapting to changing realities faster than ever before.

Career Opportunities and Job Roles

Let's take a look at the main roles and vacancies in Big Data and Data Science.

Data Scientist

A Data Scientist is a specialist who analyses data and develops machine learning with big data to solve business problems. Key responsibilities include:

The Data Scientist should have a strong knowledge of statistics, programming and machine learning.

Data Engineer

The Data Engineer is responsible for building and maintaining the infrastructure for data processing. Key responsibilities include:

The Data Engineer plays a key role in ensuring that data is available and ready for analysis.

Big Data Engineer

The Big Data Engineer develops and maintains systems to process large amounts of data. Key responsibilities include:

The Big Data Engineer should have in-depth knowledge of distributed computing and big data.

Machine Learning Engineer

Machine Learning Engineer specialises in the design and implementation of machine learning models. Key responsibilities include:

The Machine Learning Engineer must have a strong knowledge of machine learning and programming.

Industry Demand

Big Data and AI are two rapidly developing fields that play a key role in today's world. Big Data refers to processing and analysing huge amounts of data that cannot be processed using traditional methods. Data Science, on the other hand, involves the use of statistical methods, machine learning and other technologies to extract knowledge and insights from data. These fields are of great importance to business, science and technology as they enable better informed decision-making and the development of innovative products and services!