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Big Data Courses

189 Courses

California Institute of Technology Udemy

Data Analytics & Data Science for Executives

Enroll now in Data Analytics for Executives to unlock the transformative power of data. Elevate your leadership skills by understanding how to leverage data science, machine learning, and big data technologies for strategic business outcomes. Suitable for executives and business leaders, this comprehensive course provides in-depth knowledge in d.
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California Institute of Technology Udemy

Master Course : Big Data for HR, Marketing and Finance 2.0

Unlock the power of Big Data with our comprehensive Master Course, specifically designed for professionals in HR, Marketing, and Finance. Enhance your proficiency in utilizing Big Data applications to drive growth and improve strategic planning across various sectors. Led by industry experts, this course is hosted on Udemy and provides invalua.
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California Institute of Technology Udemy

Data Analytics and Artificial Intelligence for Beginners

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California Institute of Technology Udemy

Master Course in Sustainable Technologies & Datafication 2.0

Join the Master Course in Sustainable Technologies & Datafication 2.0 and dive deep into the realms of innovation, sustainability, and entrepreneurship. Offered by Udemy, this course is designed to provide you with advanced knowledge and skills in the areas of datafication and the circular economy. Our comprehensive curriculum covers a wide ra.
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California Institute of Technology Udemy

Data Lake Fundamentals

Discover the world of data lakes and learn how to leverage them for cutting-edge data analytics, artificial intelligence, and machine learning. Join Udemy's Data Lake Fundamentals course to explore the critical elements of big data management, data governance, and security. This course is tailored for those looking to enhance their knowledge.
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California Institute of Technology Udemy

Data Analytics for Project Management

Discover how to seamlessly integrate traditional project management methods with cutting-edge data analytics to boost project success. This comprehensive Udemy course is designed for individuals keen on enhancing their project management skills through advanced analytics techniques. Provider: Udemy Categories: Artificial Inte.
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California Institute of Technology Udemy

Data Lake Fundamentals - A Comprehensive Data Lakes Guide

Unlock the potential of data storage with our comprehensive course on Data Lake Fundamentals. Dive into the essentials of data lakes, exploring key concepts like Data Architecture, the numerous Benefits of data lakes, Implementation strategies, essential Tools, and Best Practices for managing a modern data lake. Offered by Udemy, this course i.
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California Institute of Technology Udemy

Data Lake Fundamentals: A Quick Intro Guide

Discover how to harness the power of data lakes in this beginner-friendly course on Udemy. Dive into the essentials of data management, storage, and analytics, and unlock the potent potential of big data. Enhance your data engineering skills with our targeted learning modules designed to provide you with foundational knowledge in data lakes..
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California Institute of Technology New York University (NYU)

Digital Marketing Analytics

In today's digital age, businesses have unprecedented access to detailed customer data, with the trend of big data only set to increase. Combining marketing history with this vast data pool opens up new opportunities for actionable insights, but requires the right tools and skills. This course leverages real-world applications from various in.
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California Institute of Technology New York University (NYU)

Digital Marketing Tools: Machine Learning and AI

Join the NYU course on Coursera and discover the impact of machine learning and AI on digital marketing. This dynamic course offers businesses the skills to automate decision-making and predict customer behavior using advanced tools. Explore powerful techniques to optimize marketing efforts in real-time and gain insights into machine lear.
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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!