Programming

11 Best Big Data Courses & Certifications - Learn Bigdata Online

Today, we presented the Big data Trainings to learn Big data online. Big Data is also data but with a huge size. Big Data is a term used to describe a collection of data that is huge in size and yet growing exponentially with time.

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Jul 8, 2023 • 14 min read

In the ever-evolving digital landscape, harnessing the immense potential of Big Data has become a game-changer for businesses worldwide. With the exponential growth of data volume and complexity, organizations are actively seeking professionals skilled in Big Data analytics to extract valuable insights and drive data-informed decision-making. Whether you're a beginner looking to explore the realm of Big Data or a seasoned professional aiming to enhance your expertise, selecting the right courses is paramount to success.

Welcome to our comprehensive guide, where we reveal the top Big Data courses available today. This meticulously curated resource is designed to navigate the vast landscape of Big Data education and help you choose from the most reputable and impactful courses that align with your learning objectives.

Big Data encompasses the collection, storage, processing, and analysis of vast and diverse datasets, requiring specialized skills and tools to derive meaningful insights. The best Big Data courses offer comprehensive training, equipping you with hands-on experience, practical projects, and a deep understanding of the core concepts and cutting-edge technologies driving the field.

Within our guide, you'll discover a diverse selection of the finest Big Data courses available. These courses cover an extensive range of topics, including data analytics, data mining, machine learning, cloud-based Big Data platforms, visualization techniques, and more. Tailored to cater to various proficiency levels, from beginners to advanced professionals, these courses provide a progressive learning journey for individuals seeking to expand their Big Data prowess.

So, are you ready to embark on an exciting journey into the realm of Big Data? Explore our guide to uncover the top Big Data courses available today. Let's harness the power of data and embark on a transformative learning experience.

Top Big Data Certification Courses List

The Ultimate Hands-On Hadoop: Tame your Big Data
Big Data
Google Cloud Platform Big Data and Machine Learning Fundamentals
Introduction to Big Data
Taming Big Data with MapReduce and Hadoop - Hands On!
Creating Your First Big Data Hadoop Cluster Using Cloudera CDH
Managing Big Data with MySQL
Learn Big Data: The Hadoop Ecosystem Masterclass
Big Data on Amazon Web Services
Real World Big Data in Azure
Big Data Analysis with Scala and Spark

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1. The Ultimate Hands-On Hadoop: Tame your Big Data

In this comprehensive course, you will dive into the world of Hadoop and "Big Data" and learn how to leverage its ecosystem to solve real business problems. Taught by a former engineer and senior manager from Amazon and IMDb, this course goes beyond Hadoop itself and explores various distributed systems that integrate with it.

Course rating: 4.5 out of 5.0 (29,025 Rating total)
Duration: 14.5 Hours
Certificate: Certificate of completion

With this Big Data tutorial for beginners, you will:

Design distributed systems that manage "big data" using Hadoop and related technologies.
Use HDFS and MapReduce for storing and analyzing data at scale.
Use Pig and Spark to create scripts to process data on a Hadoop cluster in more complex ways.
Analyze relational data using Hive and MySQL.
Analyze non-relational data using HBase, Cassandra, and MongoDB.
Query data interactively with Drill, Phoenix, and Presto.
Choose an appropriate data storage technology for your application.
Understand how Hadoop clusters are managed by YARN, Tez, Mesos, Zookeeper, Zeppelin, Hue, and Oozie.
Publish data to your Hadoop cluster using Kafka, Sqoop, and Flume.
Consume streaming data using Spark Streaming, Flink, and Storm.

The course emphasizes data analysis, where you will learn how to write programs using Pig and Spark, two popular data processing frameworks. These skills will enable you to effectively analyze and derive insights from vast amounts of data. Additionally, you will explore various data storage and querying techniques using technologies such as Sqoop, Hive, MySQL, HBase, Cassandra, MongoDB, Drill, Phoenix, and Presto. Understanding the capabilities and use cases of these tools empowers you to efficiently store, retrieve, and manipulate data within the Hadoop ecosystem.

The course also covers system design, teaching you how to architect real-world systems using the Hadoop ecosystem. You will learn about scalability, fault tolerance, and performance considerations while designing systems that can handle massive amounts of data effectively.

Additionally, you will gain insights into cluster management using YARN, Mesos, Zookeeper, Oozie, Zeppelin, and Hue. Understanding how these tools work together to manage and monitor Hadoop clusters will provide you with the necessary skills to deploy and maintain large-scale data processing infrastructures.

Real-time data processing is another critical aspect of the course. You will explore technologies such as Kafka, Flume, Spark Streaming, Flink, and Storm, which enable handling streaming data in real-time. This knowledge will equip you with the ability to process and analyze data as it arrives, allowing you to make informed decisions based on up-to-date information.

Upon completing the course, you'll not only possess a genuine and in-depth understanding of Hadoop and its associated distributed systems but also have the ability to apply Hadoop to real-world problems. Additionally, you'll receive a valuable completion certificate as recognition of your achievement.

You can take Hadoop Framework Certification Course (MapReduce, HDFS, Pig) Certificate Course on Udemy.

2. Big Data Training for Professionals

Big data training for professionals is a great way to Learn Big Data from the University of California San Diego. Drive better business decisions with an overview of how big data is organized, analyzed, and interpreted.

Course rating: 4.5 out of 5.0 (124,576 total enrollments)
Duration: 96 Hours
Certificate: Certificate of completion

Drive better business decisions with an overview of how big data is organized, analyzed, and interpreted. Apply your insights to real-world problems and questions. Do you need to understand big data and how it will impact your business? This Specialization is for you. You will gain an understanding of what insights big data can provide through hands-on experience with the tools and systems used by big data scientists and engineers.

Previous programming experience is not required! You will be guided through the basics of using Hadoop with MapReduce, Spark, Pig, and Hive. By following along with provided code, you will experience how one can perform predictive modeling and leverage graph analytics to model problems.

This specialization will prepare you to ask the right questions about data, communicate effectively with data scientists, and do basic exploration of large, complex datasets. In the final Capstone Project, developed in partnership with data software company Splunk, you’ll apply the skills you learned to do basic analyses of big data.

This Big data training course is for those new to data science and interested in understanding why the Big Data Era has come to be. It is for those who want to become conversant with the terminology and the core concepts behind big data problems, applications, and systems. It is for those who want to start thinking about how Big Data might be useful in their business or career.

The course provides an introduction to one of the most common frameworks, Hadoop, that has made big data analysis easier and more accessible -- increasing the potential for data to transform our world.

You can take Big Data Certificate Course on Coursera.

3. Google Cloud Big Data and Machine Learning Fundamentals

Learn Google Cloud Platform Big Data Programming and Machine Learning Fundamentals from Google Cloud. This 1-week accelerated on-demand course introduces participants to the Big Data and Machine Learning capabilities of Google Cloud Platform (GCP).

Course rating: 4.7 out of 5.0 (15,611 Rating total)
Duration: 10 Hours
Certificate: Certificate of completion

With this Google Cloud Platform Big Data Programming and Machine Learning Fundamentals course, you will:

Process big data at scale for analytics and machine learning
Create streaming data pipelines and dashboards
Learn fundamentals of building new machine learning models

This is an on-demand Google Cloud Platform Big Data Programming and Machine Learning Fundamentals course introduces participants to the Big Data and Machine Learning capabilities of Google Cloud Platform (GCP). It provides a quick overview of the Google Cloud Platform and a deeper dive of the data processing capabilities.

At the end of this Google Cloud Platform Big Data Programming and Machine Learning Fundamentals training , participants will be able to: Identify the purpose and value of the key Big Data and Machine Learning products in the Google Cloud Platform Use CloudSQL and Cloud Dataproc to migrate existing MySQL and Hadoop/Pig/Spark/Hive workloads to Google Cloud Platform, employ BigQuery and Cloud Datalab to carry out interactive data analysis, choose between Cloud SQL, BigTable and Datastore, train and use a neural network using TensorFlow, choose between different data processing products on the Google Cloud Platform.

You can take Google Cloud Platform Big Data and Machine Learning Fundamentals Certificate Course on Coursera.

4. Introduction to Big Data

Increasing your knowledge of the Big Data landscape.

Course rating: 4.6 out of 5.0 (9,284 Ratings total)
Duration: 17 Hours
Certificate: Certificate of completion

In this course, you will learn:

the Big Data landscape including examples of real world big data problems including the three key sources of Big Data: people, organizations, and sensors.
the V’s of Big Data (volume, velocity, variety, veracity, valence, and value)
why each impacts data collection, monitoring, storage, analysis and reporting.
how to get value out of Big Data by using a 5-step process to structure your analysis.
what are and what are not big data problems and be able to recast big data problems as data science questions.
an explanation of the architectural components and programming models used for scalable big data analysis.
how to summarize the features and value of core Hadoop stack components including the YARN resource and job management system, the HDFS file system and the MapReduce programming model.
installing and running a program using Hadoop.

Initially, you will learn of the "Big Vs". The course will give examples and descriptions of the commonly discussed 5. But, the course proposes a 6th V and it will ask you to practice writing Big Data questions targeting this V -- value.

Next, it introduces a 5 step process for approaching data science problems. After that, you will learn the foundations for Big Data systems and programming as Big Data requires new programming frameworks and systems.

Finally, you will go "hands on" and actually perform a simple MapReduce task in the Cloudera VM. Pay attention - as the course will guide you in "learning by doing" in diagramming a MapReduce task as a Peer Review.

You can take Introduction to Big Data Certificate Course on Coursera.

5. Taming Big Data with MapReduce and Hadoop - Hands On!

Learn Big Data with Learn MapReduce and Hadoop fast by building over 10 real examples, using Python, MRJob, and Amazon's Elastic MapReduce Service.

Course rating: 4.5 out of 5.0 (2,489 Ratings total)
Duration: 5 Hours
Certificate: Certificate of completion

With this Learn Big Data withLearn MapReduce and Hadoop course, you will:

Understand how MapReduce can be used to analyze big data sets
Write your own MapReduce jobs using Python and MRJob
Run MapReduce jobs on Hadoop clusters using Amazon Elastic MapReduce
Chain MapReduce jobs together to analyze more complex problems
Analyze social network data using MapReduce
Analyze movie ratings data using MapReduce and produce movie recommendations with it.
Understand other Hadoop-based technologies, including Hive, Pig, and Spark
Understand what Hadoop is for, and how it works

“Big data" analysis is a hot and highly valuable skill – and this Learn Big Data with Learn MapReduce and Hadoop course will teach you two technologies fundamental to big data quickly: MapReduce and Hadoop. Ever wonder how Google manages to analyze the entire Internet on a continual basis?

You'll learn those same techniques, using your own Windows system right at home. Learn and master the art of framing data analysis problems as MapReduce problems through over 10 hands-on examples, and then scale them up to run on cloud computing services in this Learn Big Data with Learn MapReduce and Hadoop course. You'll be learning from an ex-engineer and senior manager from Amazon and IMDb.

You can learn the concepts of MapReduce Run MapReduce jobs quickly using Python and MRJob Translate complex analysis problems into multi-stage MapReduce jobs Scale up to larger data sets using Amazon's Elastic MapReduce service Understand how Hadoop distributes MapReduce across computing clusters Learn about other Hadoop technologies, like Hive, Pig, and Spark By the end of this course, you'll be running code that analyzes gigabytes worth of information – in the cloud – in a matter of minutes.

Once you've got the basics under your belt, we'll move to some more complex and interesting tasks. We'll use a million movie ratings to find movies that are similar to each other, and you might even discover some new movies you might like in the process! We'll analyze a social graph of superheroes, and learn who the most “popular" superhero is – and develop a system to find “degrees of separation" between superheroes. Are all Marvel superheroes within a few degrees of being connected to The Incredible Hulk? You'll find the answer.

This Learn Big Data withLearn MapReduce and Hadoop course is very hands-on; you'll spend most of your time following along with the instructor as we write, analyze, and run real code together – both on your own system, and in the cloud using Amazon's Elastic MapReduce service.

Over 5 hours of video content is included, with over 10 real examples of increasing complexity you can build, run and study yourself. Move through them at your own pace, on your own schedule. The Learn Big Data withLearn MapReduce and Hadoop course wraps up with an overview of other Hadoop-based technologies, including Hive, Pig, and the very hot Spark framework – complete with a working example in Spark.

You can take Taming Big Data with MapReduce and Hadoop - Hands On! Certificate Course on Udemy.

6. Creating Your First Big Data Programming Hadoop Cluster Using Cloudera CDH

Big Data programming Hadoop cluster is a training Data by itself has no meaning, it is what you do with it that counts. In big data programming, you'll fast track to Hadoop & Big Data with the Cloudera QuickStart VM and then you'll learn how to set up a Hadoop cluster with Cloudera CDH.

Course rating: 5.0 out of 5.0 (76 Ratings total)
Duration: 1.5 Hours
Certificate: Certificate of completion

To get knowledge you need to analyze and understand huge amounts of structured and unstructured data - Big Data. In this Big Data programming Hadoop cluster course, Creating Your First Big Data Hadoop Cluster Using Cloudera CDH, you'll get started on Big Data with Cloudera, taking your first steps with Hadoop using a pseudo cluster and then moving on to set up our own cluster using CDH, which stands for Cloudera's Distribution including Hadoop.

First, you'll explore the case for Hadoop, Big Data, and Cloudera. Next, you'll learn about the fast track to Big Data with Cloudera's QuickStart VM and you'll also learn how to create a visualization environment with VirtualBox. Then, you'll discover how to create a Linux clean cluster with CentOS. Finally, you'll follow the steps to install and configure a cluster with the help of Cloudera Manager. By the end of this course, you'll have a Hadoop cluster, and you'll be ready to start your journey to Big Data.

You can take Creating Your First Big Data Hadoop Cluster Using Cloudera CDH Certificate Course on Pluralsight.

7. Managing Big Data with MySQL- Best Big Data Online Course

Learn Managing Big Data online course with MySQL from Duke University. This cBig Data online course is an introduction to how to use relational databases in business analysis. You will learn how relational databases work, and how to use entity-relationship diagrams to display.

Course rating: 4.7 out of 5.0 (3,436 Ratings total)
Duration: 32 Hours
Certificate: Certificate of completion

This Big Data online course is an introduction to how to use relational databases in business analysis. You will learn how relational databases work, and how to use entity-relationship diagrams to display the structure of the data held within them. This knowledge will help you understand how data needs to be collected in business contexts, and help you identify features you want to consider if you are involved in implementing new data collection efforts.

You will also learn how to execute the most useful query and table aggregation statements for business analysts, and practice using them with real databases. No more waiting 48 hours for someone else in the company to provide data to you – you will be able to get the data by yourself!

By the end of this Big Data online course, you will have a clear understanding of how relational databases work, and have a portfolio of queries you can show potential employers. Businesses are collecting increasing amounts of information with the hope that data will yield novel insights into how to improve businesses.

You can take Managing Big Data with MySQL Certificate Course on Pluralsight.

8. Learn Big Data: The Hadoop Ecosystem Masterclass

Master the Hadoop ecosystem using HDFS, MapReduce, Yarn, Pig, Hive, Kafka, HBase, Spark, Knox, Ranger, Ambari, Zookeeper.

Course rating: 4.3 out of 5.0 (3,289 Ratings total)
Duration: 6 Hours
Certificate: Certificate of completion

With this Big data courses, you will:

Process Big Data using batch
Process Big Data using realtime data
Be familiar with the technologies in the Hadoop Stack
Be able to install and configure the Hortonworks Data Platform (HDP)

In this Big data courses you will learn Big Data using the Hadoop Ecosystem. Why Hadoop? It is one of the most sought after skills in the IT industry. The average salary in the US is $112,000 per year, up to an average of $160,000 in San Fransisco (source: Indeed). The course is aimed at Software Engineers, Database Administrators, and System Administrators that want to learn about Big Data.

Other IT professionals can also take this Big data courses, but might have to do some extra research to understand some of the concepts. You will learn how to use the most popular software in the Big Data industry at moment, using batch processing as well as realtime processing. This Big data courses will give you enough background to be able to talk about real problems and solutions with experts in the industry. Updating your LinkedIn profile with these technologies will make recruiters want you to get interviews at the most prestigious companies in the world.

You can take Learn Big Data: The Hadoop Ecosystem Masterclass Certificate Course on Udemy.

9. Learning Big Data on Amazon Web Services

This Learning Big Data on Amazon Web services training contains an overview and demonstration of numerous components in the Amazon Web Services (AWS) Big Data Stack.

Course rating: 4.5 out of 5.0 (176 Ratings total)
Duration: 4 Hours
Certificate: Certificate of completion

This Learning Big Data on Amazon Web services course provides a tour through Amazon Web Services' (AWS) Big Data stack components, namely DynamoDB, Elastic MapReduce (EMR), Redshift, Data Pipeline, and Jaspersoft BI on AWS. AWS Kinesis is also discussed.

All steps for creating an AWS account, setting up a security key pair and working with AWS Simple Storage Service (S3) are covered as well. Numerous demos are provided, demonstrating interaction through AWS components via Web browser user interfaces, command line, and desktop tools.

You can take Learning Big Data on Amazon Web Services Certificate Course on Pluralsight.

10. Real World Big Data Programming in Azure

The Big Data programming components of Azure let you build solutions which can process billions of events, using technologies you already know. In this Big Data programming in Azure course, we build a real world Big Data solution in two phases, starting with just .NET technologies and then adding Hadoop tools.

Course rating: 4.5 out of 5.0 (191 Ratings total)
Duration: 5.4 Hours
Certificate: Certificate of completion

How do you make sense of Big Data? When you’re receiving 100 million events per hour and you need to save them all permanently, but also process key metrics to show real-time dashboards, what technologies and platforms can you use? This Big Data programming in Azure coursee answers those questions using Microsoft Azure, .NET, and Hadoop technologies: Event Hubs, Cloud Services, Web Apps, Blob Storage, SQL Azure, and HDInsight. We build a real solution that can process ten billion events every month, store them for permanent access, and distill key streams of data into powerful real-time visualizations.

You can take Real World Big Data in Azure Certificate Course on Pluralsight.

11. Big Data Programming Analysis with Scala and Spark

Learn Big Data Programming Analysis with Scala and Spark from École Polytechnique Fédérale de Lausanne. Manipulating big data distributed over a cluster using functional concepts is rampant in industry, and is arguably one of the first widespread industrial.

Course rating: 4.7 out of 5.0 (2,383 Ratings total)
Duration: 28 Hours
Certificate: Certificate of completion

With this Big Data Programming Analysis course, you will:

Read data from persistent storage and load it into Apache Spark
Manipulate data with Spark and Scala
Express algorithms for data analysis in a functional style
Recognize how to avoid shuffles and recomputation in Spark

Manipulating big data distributed over a cluster using functional concepts is rampant in industry, and is arguably one of the first widespread industrial uses of functional ideas. This is evidenced by the popularity of MapReduce and Hadoop, and most recently Apache Spark, a fast, in-memory distributed collections framework written in Scala.

In this Big Data Programming Analysis course, we'll see how the data parallel paradigm can be extended to the distributed case, using Spark throughout. We'll cover Spark's programming model in detail, being careful to understand how and when it differs from familiar programming models, like shared-memory parallel collections or sequential Scala collections. Through hands-on examples in Spark and Scala, we'll learn when important issues related to distribution like latency and network communication should be considered and how they can be addressed effectively for improved performance.

You can take Big Data Analysis with Scala and Spark Certificate Course on Coursera.

Thank you for reading this. We hope our course curation would help you to pick the right course to learn Big Data. In case you want to explore more, you can take the free Big Data courses.

Hello reader! Well if you have made it till the end, then it is certain that your quest for learning is not over yet. Look no further as Coursesity present to you a comprehensive collection of courses curated specially according to your needs.