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Big Data Courses

170 Courses

California Institute of Technology Udemy

AWS Analytics - Athena Kinesis Redshift QuickSight Glue

Covering Data Science, Data Lake, Machine learning, Warehouse, Pipeline, Athena, AWS CLI, Big data, EMR and BI, AI tools
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provider Udemy
pricing Free Online Course
duration 2 hours 38 minutes
sessions On-Demand
California Institute of Technology Udemy

Módulo Data Analytics, Business Intelligence y Visualización

aprende a realizar un proyecto de datos desde la captura hasta la extracción de conocimiento y visualización en cloud
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provider Udemy
pricing Free Online Course
duration 2 hours 2 minutes
sessions On-Demand
California Institute of Technology LinkedIn Learning

Digital Transformation: A Toolkit for Non-Programmers

Build your awareness and confidence using smart digital tools and innovative techniques to scale your business for a smooth digital transformation.
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provider LinkedIn Learning
pricing Free Trial Available
duration 1-2 hours
sessions On-Demand
California Institute of Technology LinkedIn Learning

Financial Forecasting with Big Data

Financial Forecasting with Big Data Quickly create financial forecasts using big data, predictive analytics, and Microsoft Excel. This course is offered by LinkedIn Learning and is an excellent resource for mastering skills in various categories such as Big Data, Business Intelligence, Predictive Analytics, Microsoft Excel, and Data Cleaning.
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provider LinkedIn Learning
pricing Free Trial Available
duration 1-2 hours
sessions On-Demand
California Institute of Technology Pluralsight

Big Picture: Enterprise Data Management

Big Picture: Enterprise Data Management Data has become ‘the’ corporate asset of the twenty-first century. In this course, you will learn how organizations manage data through the many disciplines of enterprise data management, such as governance, modeling, engineering, and analytics. Over the last decade, technology has given us the ability to.
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provider Pluralsight
pricing Free Trial Available
duration 1-2 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
California Institute of Technology Udemy

Oracle Data Integrator (ODI) 12c Developer Course

Oracle Data Integrator (ODI) 12c Developer Course Provider: Udemy Categories: Big Data Courses Enhance your skills with the Oracle Data Integrator (ODI) 12c Developer Course. Delivered by Udemy, this comprehensive course is designed to immerse you in the world of big data and advanced data integration techniques. Whether you're a seasoned developer.
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provider Udemy
pricing Paid Course
duration 7 hours
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 edX

New Science of Cities | 新城市科学

With the advent of the fourth industrial revolution, a series of emerging technologies, such as big data, artificial intelligence, cloud computing, Internet of Things, augmented reality, etc., have provided new opportunities for studying cities and expanded the breadth and depth of their research. In addition, these disruptive technologies have.
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provider edX
pricing Free Online Course (Audit)
duration 11 weeks, 4-8 hours a week
sessions On-Demand
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

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!