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Big Data Courses

133 Courses

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
California Institute of Technology LinkedIn Learning

Data Infrastructure and AI/ML

Title: Data Infrastructure and AI/ML Description: Dive into the synergistic sphere where big data converges with artificial intelligence and machine learning. This audio-only course, originally part of the Free the Data Podcast, is now available through LinkedIn Learning. University: Provider: LinkedIn Learning Categories: Artificial Intelligence C.
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provider LinkedIn Learning
pricing Free Trial Available
duration 1-2 hours
sessions On-Demand
California Institute of Technology Udemy

Introduction to Machine Learning for Data Science

Event Title: Introduction to Machine Learning for Data Music Description: Dive into the basics of Machine Learning specifically tailored for Data Science in this comprehensive course. Expertly designed for the everyday individual, this course is proudly presented by the Backyard Data Scientist in partnership with Udemy. Provider: Udemy Categories:.
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provider Udemy
pricing Paid Course
duration 5 hours 33 minutes
sessions On-Demand
California Institute of Technology Udemy

AWS Data Architect Bootcamp - 43 Services 500 FAQs 20+ Tools

Event Title: AWS Data Architect Bootcamp - 43 Services 500 FAQs 20+ Tools Description: Dive deep into AWS technologies with our comprehensive AWS Data Architect Bootcamp. This course includes detailed modules on AWS Databases, EMR, SageMaker, IoT, Redshift, Glue, QuickSight, RDS, Aurora, DynamoDB, Kinesis, Rekognition, and many more essential servi.
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provider Udemy
pricing Paid Course
duration 30 hours
sessions On-Demand
California Institute of Technology Udemy

Cloud Computing Fundamentals

Cloud Computing Fundamentals Course Delve into the essential aspects of cloud computing with this detailed course offered by Udemy. Whatshis course is designed for beginners and covers all fundamental concepts and technologies related to cloud computing. Gain in-depth insights into how cloud technology powers major AI, machine learning, and big dat.
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provider Udemy
pricing Paid Course
duration 2 hours 56 minutes
sessions On-Demand
California Institute of Technology FutureLearn  Program

Disruptive Technologies

Explore the frontier of innovation with the ten-week microcredential program on Disruptive Technologies, offered by The Mind Lab and endorsed by the New Zealand Qualifications Authority (NZQA). This course dives into the transformative power of emerging technologies that are setting new precedents in various sectors. Gain deep insights into technol.
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provider FutureLearn  Program
pricing Paid Course
duration 10 weeks
California Institute of Technology A Cloud Guru

Data Science Basics

Data Science Basics: Unlocking the Power of AI, Machine Learning, & Big Data Curious about how artificial intelligence, machine learning, and big data are reshaping the world? Join us for an insightful beginner's course provided by A Cloud Guru, designed to demystify these powerful technologies. Discover the fundamentals of data science and explore.
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provider A Cloud Guru
pricing Free Trial Available
duration 1 hour
sessions On-Demand
California Institute of Technology Udemy

NEW AWS Certified Data Analytics Specialty DAS C01 Course

Title: NEW AWS Certified Data Analytics Specialty DAS C01 Course Description: Aspiring to ace the NEW AWS Certified Data Analytics Specialty DAS C01 exam with a focus on Machine Learning and AI? Enroll in our comprehensive course on Udowe now! Provider: Udemy Categories: Machine Learning Courses, Big Data Courses, Data Science Courses, Data Visuali.
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provider Udemy
pricing Paid Course
duration 9 hours
sessions On-Demand
California Institute of Technology Pluralsight

The IT Ops Sessions: The Role of AIOps in Building a Digital Immune System

Title: The IT Ops Sessions: The Role of AIOps in Building a Digital Immune System Description: Join us for an enlightenining IT Ops session on "The Role of AIOps in Building a Digital Immurse System," where you'll delve into the transformative impact of artificial intelligence in IT operations. Discover how AIOps employs AI to automate and enhance.
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provider Pluralsight
pricing Free Trial Available
duration 30 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!