Best Big Data Courses Online & Certification (March 2023)

  • Post last modified:13 March 2023
  • Reading time:39 mins read
  • Post category:Best Online Course
Best Big Data Course
Best Big Data Course

Have you heard the popular Buzzword- Big Data? Experts are crazily talking about it. Today, I will share the reviews on the Best Big Data Courses to explore. As there’s a growing demand for real-time data analytics, the value of Big Data as a service market will reach $61.42 billion by 2026. It has increased by 36.9% from 2019 to 2026.

Nowadays, it’s not difficult to master Big Data and launch yourself as an expert. I will discuss the Top 8 Big Data Programs and Specialization for all types of Learners. Whether a beginner or professional, this compiled list has courses for everyone. Take a look and find your suitable one.

Our product recommendations are unbiased and based on an independent review process. We may receive a commission for links to recommended partners. See our advertiser disclosure for more information.

8 Best Big Data Courses, Certification, Tutorials, Training, Classes Online

Big Data Certification Course by UC San Diego [Coursera]

Are you curious about how Big Data impacts today’s business? This Big Data Certification is for you. Coursera brings you an opportunity to study big data at your home now. You will understand how big data is used to get better insights and present them to data scientists. It will introduce you to big data tools like Hadoop, Mapreduce, Spark, and Hive. This Big Data Coursera Course explains how to ask the right questions about data and explore large complex datasets.

Data Science Instructors from San Diego University have prepared this Big Data Course for students to unlock value in massive datasets. Learners get to learn the fundamentals of big data in six different courses. By the end, you become capable of applying the skills for the data analysis process.

Key Highlights & USPs

  • Introduction of Big data and complete knowledge of the core concepts.

  • Understand how to use big data for collecting, storing, and organizing data.

  • Learn to execute data integration and data processing on Hadoop and spark platforms.

  • Understand how machine learning techniques are used to create models and drive data insights for solving problems.

  • Get an overview of graph analytics to model, store, retrieve, and analyze graph-structured data.

  • Build a big data ecosystem using tools and methods under the capstone project.

Who is it for?

You can also become part of the Best Big Data courses for beginners. There are no particular prerequisites for learning big data with the help of mentors from top institutions. In the end, you will earn a certificate after completing all six courses and one capstone project. So don’t miss a try and Enroll now with no charge.

Rating: 4.5/5
Students Enrolled: 108, 697
Duration: 8 months, 3 hours/week

Coursera Free Trail

Ultimate Hands-On Hadoop – Big Data Training Course [Udemy]

This Big Data Training Course provides a platform to understand the most popular framework Hadoop for Big Data. You will learn the key aspects of Big Data for managing massive datasets across a cluster using Hadoop Distributed File System and MapReduce.

With this Hadoop tutorial, you will be trained enough to write programs to analyze data on Hadoop with Pig and Spark. It is a highly recommended and valuable field to pursue, where you can solve real-world problems using the Hadoop ecosystem.

Frank Kane, Founder of Sundog Education, has created this Hadoop Certification Program from Udemy to deliver comprehensive hands-on experience using Hadoop. Students become professional data engineers by providing over 25 different technologies in over hours of video lectures.

Key Highlights & USPs

  • Learn to design distributed systems that manage “ big data” using Hadoop and related technologies.

  • How to use Pig and Spark to create scripts for data processing on a Hadoop cluster in a scalable manner.

  • Understand how to analyze non-relational data using HBase, Cassandra, and MongoDB and relational data using Hive and MySQL.

  • Develop knowledge of how clusters are managed by YARN, Tez, Mesos, Zookeeper, Zeppelin, Hue, and Oozie.

  • Able to Publish data on a Hadoop cluster using Kafka, Sqoop, and Flume.

  • How to consume streaming data using Spark Streaming, Flink, and storm.

  • Get access to 14 hours of on-demand video sessions, 7 articles, and 2 downloadable resources.

Who is it for?

Data Engineers, Programmers, Data Analysts, and other professionals are eligible for this Big Data Hadoop Course. You should have basic programming experience and familiarity with the Linux command line. Upon this course completion, you will receive a certificate to showcase your build capabilities and land a job.

Rating: 4.6/5
Students Enrolled: 142,390
Duration: 15 hours

IBM Data Science Professional Certificate [Coursera]

IBM has launched a Professional Data Science Certificate for students. It will introduce you to the fundamentals of data science and machine learning. You will be able to build data science, Python, and SQL Skills.

Additionally, you get a chance to create machine learning models and use your knowledge for analyzing & visualizing data. You will learn about the most popular tools such as Jupyter Notebooks, Juyterlab, Rstudio IDE, Git, Github, and Watson Studio.

IBM instructors and experts from Coursera have prepared this IBM Data Science Course Coursera. Under the proper guidance, you can create a strong portfolio full of data science projects and boost your confidence to land a job. It will provide you with the latest jobs and skills.

Key Highlights & USPs

  • Get an overview of what data science is today?

  • Learn about the data science tools and programming skills for analyzing the data.

  • Build a solid understanding of data science methodology to tackle real-world problems.

  • Grasp all the Python basics for Data Science and Artificial Intelligence Development.

  • Understand how Databases and SQL are used for handling data and work along with Python programming.

  • Prepare you for data analysis using Python and explore types of data.

  • Develop hands-on skills using tools, languages, and Python libraries used by Professional data scientists.

Who is it for?

If you are passionate enough, this data science free online course with a certificate is the perfect choice for you. You don’t need to have prior knowledge of Computer Science or programming experience. It brings out your potential to have a competitive edge in the job market and get an entry-level position.

Rating: 4.6/5
Students Enrolled: 64,080
Duration: 11 months, 3 hours per week

Coursera Free Trail

Apache Spark 2.0 with Scala – Hands-on with Big Data [Udemy]

This Big Data Udemy Course offers a must-learn opportunity for learners to dive into the world of hottest technology in Big Data: Apache Spark 2.0. Big companies and organizations like eBay, Amazon, NASA, Yahoo, and JPL use Spark to extract information. You will learn how Spark works best when using the Scala Programming language. It is prepared to help you with mastering the art of transforming data analysis problems as Spark problems.

Apache Spark with Scala Course was designed with the guidance of Frank Kane, who has experience of 9 years working at Amazon and IMDb. He founded Sundog Education to help students establish a highly scalable career in data science, big data, and machine learning. You will also become knowledgeable of running code for analyzing gigabytes worth of information.

Key Highlights & USPs

  • Learn the art of framing big data analysis problems as Apache Spark scripts.

  • How to optimize Spark tasks through partitioning, caching, and other Hadoop techniques.

  • How to traverse and analyze graph structures using Graphx.

  • Develop distributed code using the Scala Programming language.

  • Gain knowledge of building, deploying, and running spark scripts on Hadoop clusters.

  • Determine how structured data can be transformed using SparkSQL, Datasets, and Dataframes.

  • Provide full lifetime access to 9 hours of on-demand video, 20 hands-on examples, and 3 articles to become a pro.

Who is it for?

This Udemy Big Data Hadoop and Spark is for software engineers interested in expanding their skills to participate in big data processing on Hadoop clusters. Having programming experience would be beneficial. If you are a beginner, I would suggest taking an introductory course. Learners get recognized by a certificate after successful completion.

Rating: 4.6/5
Students Enrolled: 76, 097
Duration: 9 hours

Udemy New Customer Deal
Offer Till: 31th March | $14.99 | AU$19.99 | ₹525 | Rp 129 | SGD 19.99

Google Cloud Platform Big Data Certification [Coursera]

This Google Cloud Big Data Course will introduce you to Big Data capabilities and features. You will get an overview of Google Cloud and a detailed view of machine learning and data processing. It will help you become more flexible in using big data solutions on Google Cloud. One of the best free Big Data courses for learning Google Cloud Big Data and Machine learning Fundamentals.

This Google Cloud Training has been helping millions of organizations to empower their employees to serve their customers and build innovative business solutions. It is also a part of multiple Professional Certificate Programs, and you can pursue other programs under the specialization after completing this course.

Key Highlights & USPs

  • Learn about the basics of how the course is structured.

  • How to solve the four main big data challenges.

  • Know how to run recommendation models on Google Cloud with Dataproc and Cloud SQL.

  • Build your own machine learning model to predict visitor purchases using SQL along with BigQuery ML.

  • Construct an auto-scaling data pipeline to ingest, process, and visualize the data using interactive dashboards.

  • Develop skills to drive insights from unstructured data using Machine learning.

  • Get free and unlimited access to 53 videos, 8 reading materials, and 10 quizzes for enhancing the acquired knowledge.

Who is it for?

To take this Big Data Course Syllabus should have fulfilled prerequisites. Likely, Learners should have a basic knowledge of SQL, Python, and Machine Learning. After this intermediate Big Data course, you will get a certificate to showcase the ability to use Google Cloud. If you are not aware of these technologies, don’t worry. Geektonight has listed the most popular courses with reviews that you can check anytime and enroll for free.

Rating: 4.7/5
Students Enrolled: 228,412
Duration: 12 hours

Coursera Free Trail

Taming Big Data with Apache Spark and Python [Udemy]

Are you interested in knowing how to tame Big Data using Apache Spark? This Big Data Tutorial Udemy will elaborate and teach how to apply the concepts of Spark and Python programming language. You will develop foundational knowledge on how to scale larger datasets using Amazon’s Elastic Mapreduce service. While taming big data, you get to spend most of your time with the instructor in analyzing and running codes. You can do this at your pace and on your schedule.

Frank Kane and his enterprise, Sundog Education, created this Big Data Online Course with Certification. His vision is to provide students access to pursuing valuable careers. This course aims to offer a platform for students to explore machine learning and data analysis concepts.

Key Highlights & USPs

  • How to use Spark Dataframes and structured streaming in Spark 3.

  • Learn to use Amazon’s Elastic Mapreduce service to run your code with Hadoop Yarn.

  • Able to install and run Apache Spark on a cluster.

  • Determine how Spark’s Resilient Distributed Datasets process and analyze large data sets across CPUs.

  • How to implement iterative algorithms such as breadth-first-search using Spark.

  • Understand how Spark streaming helps in data processing in real-time.

  • Get full lifetime access to 7 hours of on-demand video, 3 articles, and 23 downloadable resources.

Who is it for?

Taming Big Data with Apache Spark requires programming skills and experience in software development. If your job involves software development or data processing, this Udemy Big Data Free Course is the right choice for you. If you have never written a single program, I suggest you take the Beginner Python Course from Udemy to develop programming knowledge.

Rating: 4.6/5
Students Enrolled: 66,514
Duration: 7 hours

Big Data Certification Course from University of Adelaide [edX]

Want to learn Big data for making data-driven business decisions?

This edX Big Data Course is a perfect one for beginners. You will learn tools and analytical methods to drive data insights for decision making, gather and organize data at scale. It helps you to develop knowledge of analyzing a massive amount of data. It will teach both the computational and technical skills to upgrade your career. You will develop programming skills for data science, computational thinking, algorithm design, big data fundamentals, and data analysis.

This Adelaide’s Big Data MicroMasters Program was created by instructors from the University of Adelaide. Instructors have years of experience in computer science. This five-course specialization will expose you to more opportunities. Also, it will prepare you for landing an entry-level job.

Key Highlights & USPs

  • Learn to write and design algorithms for big data.

  • Introduce you to fundamental programming concepts including data abstraction, data storage, and data structures.

  • How to do computational thinking that includes decomposition, pattern, and recognition.

  • Know how to extract data-driven information for solving problems and designing algorithms for big data.

  • How to interpret data and analyze them for gaining data insights to make business decisions.

  • Understand the Key mathematical concepts which are dimension reduction and Bayesian models.

  • Develop a firm grasp of analytical tools such as R and Java.

Who is it for?

Unfortunately, this Big Data Course for Beginners Free is available to everyone from all the countries except Iran, Cube, and Ukraine. There are no prerequisites required to enroll in this course. With successful completion, learners will earn a program certificate to verify that they’ve excelled in big data and completed the capstone project.

Rating: 4.5/5
Students Enrolled:
Duration: 1 year, 9 hours/week

Spark and Python for Big Data with PySpark [Udemy]

Learn how to use the latest Big Data Technology – Spark along with the object-oriented programming language. Spark increases the ability to process huge data sets and analyze them all together to solve problems for big companies like Google, Facebook, Netflix, Airbnb, NASA, etc. This Big Data with PySpark course will teach how Spark Dataframes are used with the Spark 2.0 syntax. You will also cover topics like Spark SQL, Spark Streaming, and gradient boosted trees

Jose Portilla, a professional instructor and trained in Data science, created this Spark for Big Data Course. He also added a crash course for learning basic Python. Having Python knowledge would help you in learning advanced concepts related to machine learning and Spark. You’ll get plenty of exercises and mock consulting projects to improve your skills.

Key Highlights & USPs

  • Learn to use Spark and Python together to analyze Big Data.

  • How to classify customer churn with logistic regression and use spark with random forests for classifications.

  • Create powerful machine learning models using Spark’s MLlib library.

  • Setup Amazon Web Services EC2 for Big Data Analysis.

  • Build a spam filter using Spark and Natural Language Processing.

  • Understand how to use Spark Streaming to analyze tweets in Real-Time.

  • Unlimited access to over 10 hours of video lectures, 4 articles to read, and 4 downloadable resources.

Who is it for?

If you know Python or any other programming language, this Spark Python Course is suitable for you. You will acquire foundational knowledge in Spark and PySpark. With completing this Spark in Big Data Analytics Program, you will be accredited with a Linkedin certificate to showcase your knowledge and reach your professional network.

Rating: 4.6/5
Students Enrolled: 86,867
Duration: 11 hours 35 minutes

Final Words

Become industry-ready with the Best Big Data Courses and Certifications that explain and develop the ability to answer big data questions. It is the best way to improve the performance of your business while making data-driven decisions.

All the courses are mentioned as per their reviews and popularity among students. I hope this article was insightful. You’ll get an idea of which course can help to dive into the world of Big Data. You can also write down in the comment section If I missed any course to mention in the list



Is Big Data easy to learn?

It is easy to learn and code for big data technologies. When you dive deep into Apache projects and other Big Data Software, your practical skill will also improve. However, it is difficult to master big data in a few weeks or months. If you are eager to learn the art of Big Data, it will be possible to achieve mastery of this hottest technology.

What should I study for Big Data?

You need to study programming languages including Java, Python, and C ++. To master Big Data, You should learn Apache Hadoop, Apache Spark, Hive, Machine Learning, Data Mining, Data Visualization, SQL, and Data Structures & Algorithms.

Is Big Data a good career?

Yes, Big Data is a good career with plenty of options in diverse industries like IT, finance, government, manufacturing, and more. This cutting-edge technology will explode even more in the next five years.

It is a rewarding career to pursue that can expose you to the multi-billion dollar industry. You can get lucrative jobs and high-paying positions as an engineer or analyst.

Does Big Data need programming?

Knowing how to code is an essential skill in Big Data. A Data scientist or analyst has to handle and manage hundreds of trillion amounts of data every day.

Without learning any programming knowledge, you will not be able to conduct numerical and statistical analysis on massive datasets. I suggest you pick a language and invest your time learning one of the popular languages like Python, Java, R, and C ++.

What jobs use Big Data?

If you train yourself in Big Data, You will be the most knowledgeable person in the job market. Big Data Jobs are wide open in diverse fields. The majority of these positions require professionals with the right expertise.

Here are 10 Big Data Careers: Big Data Engineer, Data Architect, Data Warehouse Manager, Database Manager, Business Intelligence Analyst, Data Scientist, Data Analyst, Database Administrator, Data Modeler, and Database Developer

Is Big Data the future?

Big Data is an exponentially growing field with tons of exciting opportunities for fresh minds. It has already become important for organizations to tackle continuously growing datasets and use that stored data for extracting valuable information.

Businesses are spending millions of dollars just on cloud clusters to collect, manage, and analyze their big data.

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