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Big Data Courses

206 Courses

California Institute of Technology Coursera

Detect and Mitigate Ethical Risks

Explore the pivotal course, "Detect and Mitigate Ethical Risks," offered on Coursera as part of the Certified Ethical Emerging Technologist (CEET) professional certificate. This essential training is tailored for individuals keen to navigate and address ethical risks in the realm of AI and other data-driven technologies. Understanding that declarin.
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provider Coursera
pricing Free Online Course (Audit)
duration 19 hours
sessions On-Demand
California Institute of Technology Coursera

Promote the Ethical Use of Data-Driven Technologies

Title: Promote the Ethical Use of Data-Driven Technologies Description: As technology advances, the risk of perpetuating biases in automated systems using flawed data sets increases. The Certified Ethical Emerging Technologist (CEET) professional certificate's inaugural course addresses these critical issues. Designed for those intent on advocating.
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provider Coursera
pricing Free Online Course (Audit)
duration 21 hours
sessions On-Demand
California Institute of Technology Coursera

Big Data Analytical Platform on Alibaba Cloud

Title: Big Data Analytical Platform on Alibaba Cloud Description: Embrace the power of Big Data with our course on Building an Analytical Platform on Alibaba Cloud. This curriculum is meticulously designed for engineers seeking to understand and utilize Alibaba Cloud's extensive Big Data products. Gain insights on basic distributed system theories,.
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provider Coursera
pricing Free Online Course (Audit)
duration 12 hours
sessions On-Demand
California Institute of Technology FutureLearn  Program

Data Science on Microsoft Azure: Big Data, Python and R Programming

Data science serves as a pivotal tool for deriving valuable knowledge and insights to address significant business challenges. This extensive professional certificate program, offered by CloudSwyft—one of Asia's rapidly evolving technology education and labs platforms—equips you with vital data science competencies, highly sought after in today’s p.
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provider FutureLearn  Program
pricing Paid Course
duration 22 weeks, 5 hours a week
California Institute of Technology Udemy

Python For Beginners

Join our "Python for Beginners" course, tailor-made for enthusiasts diving into the realms of Data Science, AI, ML, DL, and more. This introductory program, available on Udemy, focuses exclusively on the fundamentals of Python, setting a strong foundation for future exploration in various tech fields. Ideal for beginners, this course serves as a st.
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provider Udemy
pricing Free Online Course
duration 3 hours 55 minutes
sessions On-Demand
California Institute of Technology openSAP

SAP Leonardo - Enabling the Intelligent Enterprise

Explore the forefront of enterprise computing with openSAP's enlightening course, "SAP Leonardo - Enabling the Intelligent Enterprise." This course delves into the evolution driving us towards an era of heightened enterprise intelligence, spotlighting the advanced capabilities and outcomes facilitated by next-gen technologies central to SAP Leonard.
provider openSAP
pricing Free Online Course
duration 4 weeks, 2-3 hours a week
sessions On-Demand
California Institute of Technology Udemy

IT Systems Business Analysis and ICT Industry Innovations

Explore the cutting-edge of IT systems and ICT industry innovations with our comprehensive course on Udemy. Dive into crucial topics such as Blockchain, Big Data, the Digital Economy, Business Intelligence, Cloud Computing, AI, Robotic Process Automation (RPA), and Information Security (Info Sec). This course is tailored for anyone aiming to sharpe.
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provider Udemy
pricing Paid Course
duration 11 hours
sessions On-Demand
California Institute of Technology A Cloud Guru

Google Certified Professional Data Engineer

Welcome to the Google Certified Professional Data Engineer course, brought to you by A Cloud Guru! This comprehensive training is tailored to those aspiring to specialize in the fields of data management, analytics, machine learning, and artificial intelligence, particularly within the Google ecosystem. Our course is designed to not only prepare yo.
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provider A Cloud Guru
pricing Free Trial Available
duration 13 hours
sessions On-Demand
California Institute of Technology Udemy

Big Data on Amazon web services (AWS)

Title: Big Data on Amazon Web Services (AWS) Description: Dive into this comprehensive course on Udemy to discover how to construct scalable and resilient big data solutions using the diverse range of services offered by AWS Cloud Platform. Perfect for those looking to expand their expertise in Big Data, Data Warehousing, Databases, and Elasticsear.
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provider Udemy
pricing Paid Course
duration 7 hours 8 minutes
sessions On-Demand
California Institute of Technology FutureLearn

Microsoft Future Ready: Ethics and Laws in Data and Analytics

Join the "Microsoft Future Ready: Ethics and Laws in Data and Analytics" course, offered by FutureLearn, which forms a crucial part of both the Microsoft ExpertTrack Certificate in Data Science and the Microsoft Professional Program in Artificial AI. Dive into the compelling world where Analytics and AI meet governance and ethics. This course is de.
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provider FutureLearn
pricing Paid Course
duration 3 weeks, 5 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!