Free Online Big Data Courses and
Certifications 2025
Big Data is a term used to describe large and complex datasets that require advanced analytics to uncover valuable insights. It is used in a variety of fields, such as finance, healthcare, and marketing. People with an interest in data science, analytics, and programming can benefit from taking courses related to Big Data.
Popular Courses
Barton Poulson explores the implications of data science on the sports industry, examining its effects on sports management, audiences, and related industries. Learn how data science is transforming the world of sports.
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Discover the fundamentals of Data Access in C# and .NET Core
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This online class, led by Barton Poulson, explores the data science behind economics, banking, and finance, and how it is revolutionizing the industry through algorithms, automation, big data applications, and machine learning.
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Learn the basics of Algorithms and Data Structures in C#
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This course will help professionals take their organization and career to the next level. Learn how to develop a big data strategy, transform your business model and organization, assess current situation, identify options for integrating big data, and strengthen your position in the digitalized knowledge economy. Get feedback from the lecturer and develop your own strategy and business model in the assignments. Take charge of big data and benefit from it.
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Learn how to use Excel to analyze data with Pivot tables and Pivot charts in this 2022 course. Understand the five steps for data analytics, create recommended pivot tables, work with the pivot table builder, create pivot charts, and analyze data with dynamic pivot tables and charts.
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This SAS Institute cert prep course provides the necessary skills to prepare for the SAS 9.4 certification exam. Learn how to use SAS to analyze and report on data, creating professional and engaging reports.
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Data science is a rapidly growing field, and R programming is an essential tool for data analysis. This course teaches you how to find and use high variety data sources for your data science projects. You'll learn how to access free, public data sources on a wide range of business, education, and health issues, and how to download the data for your own analysis. The course also introduces a number of US government resources, ranging from the US Census Bureau to the US Patent and Trademark Office, and surveys datasets from international organisations such as the World Bank and the United Nations. You'll also go over data search engines, web services, and even language resources like Google Books' Ngram Viewer. After completing this course, you will be better equipped to locate the information you require for your scholarship and data analysis efforts.
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Learn how to process massive streams of real-time data using Spark Streaming and Scala. Integrate Spark Streaming with data sources, including Kafka, Flume, and Kinesis. Use Spark 2's Structured Streaming API to create Spark applications. Output transformed real-time data to Cassandra or file systems. Query streaming data in real time with Spark SQL. Train machine learning models with streaming data and use them for real-time predictions. Ingest Apache access log data and transform streams of it. Receive real-time streams of Twitter feeds. Maintain stateful data across a continuous stream of input data.
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Get a comprehensive overview of Introduction to Big Data
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This course provides an introduction to the fundamentals of data analysis for big data. Learn how to run basic univariable analysis, simple regression analysis, instrumental variables analysis, probit/logit analysis, fixed effects regression, and difference-in-differences analysis on a dataset. Gain the skills to analyze and interpret data to make informed decisions.
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This online Nanodegree program provides students with the skills to design and build data infrastructure for an organization, including data management, systems, models, implementation and requirements. With the Data Architect Nanodegree, students can become experts in data engineering.
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This course is perfect for anyone looking to learn the fundamentals of Big Data and the Hadoop Ecosystem. Learn how to process Big Data using batch and realtime data, understand the technologies that comprise the Hadoop Stack, and possess the ability to install and configure the Hortonworks Data Platform (HDP). Get started today and become a Big Data expert!
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Enroll now to gain the skills to become a successful data scientist!
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This tutorial provides an overview of the different versions of R available and how to install them, as well as how to install useful R packages for data science. It is a great resource for those looking to get started with R programming in data science.
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Discover how to access and utilize public data sets to gain insights into a variety of topics, such as business, education, and health. Learn how to download the data for your own analysis and gain a better understanding of the issues.
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Big Data Courses
Career Trends
Career Prospects
| Average Salary | Position Overview
|
Software Engineer | $146,511 per year
| Software engineering is a field within computer science that focuses on creating, designing, testing, and maintaining software applications. Software engineers utilize engineering principles and their expertise in programming languages to develop software solutions that can be used by end users. |
Data Engineer | $160,359 per year | Data engineers work in diverse environments to construct systems that gather, organize, and transform raw data into meaningful insights for data scientists and business analysts to analyze. Their primary objective is to facilitate data accessibility, enabling organizations to evaluate and enhance their performance. |
Engineering Intern | $3,363 per month | Engineering interns acquire knowledge in planning and executing technical productions, communicating their ideas effectively, and working collaboratively towards a common objective with a team. As an intern, you may initially handle some fundamental responsibilities and then progress to more advanced ones after gaining proficiency. |
Principal Software Engineer | $207,842 per year | A principal software engineer is a professional with both management and technical expertise, responsible for designing, testing, and developing software to help companies achieve their objectives. They lead the development teams and oversee the technical aspects of computer software projects. |
Educational Paths
1. Bachelor's or Master's degree in Computer Science or a related field with a focus on data analysis and management.
2. Certification courses in Big Data technologies, such as Hadoop or Apache Spark.
3. Online courses and tutorials on data analysis and Big Data platforms, such as Coursera, Udemy, or edX.
4. Bootcamps or intensive training programs focused on data analysis and Big Data management.
5. Industry-specific training programs or apprenticeships with companies that specialize in Big Data technologies.
Frequently Asked Questions and Answers
Q1: What is big data in example?
Big data encompasses a wide variety of data types, including structured data like transactions and financial records, unstructured data like text, documents, and multimedia files, and semistructured data like web server logs and streaming data from sensors.
Q2: What are the 4 V's of big data?
There are generally four characteristics that must be part of a dataset to qualify it as big data—volume, velocity, variety, and veracity.
Q3: What are the 3 types of big data?
Structured data, Unstructured data, Semi-structured data
Q4: What are the five 5 of big data?
The 5 V's of big data (velocity, volume, value, variety, and veracity) represent the five fundamental and inherent characteristics of big data.
Q5: What Big Data courses can I find on OeClass?
On this page, we have collected free or certified 179 Big Data online courses from various platforms. The list currently only displays up to 50 items. If you have other needs, please contact us.
Q6: Can I learn Big Data for free?
Yes, If you don’t know Big Data, we recommend that you try free online courses, some of which offer certification (please refer to the latest list on the webpage as the standard). Wish you a good online learning experience!
