30+ experts have compiled this list of Best Big Data Course, Tutorial, Training, Class, and Certification available online for 2020. It includes both paid and free resources to help you learn Big Data and these courses are suitable for beginners, intermediate learners as well as experts.

10 Best Big Data Certification, Course, Training, Tutorial & Classes Online [2020] [UPDATED]

No prior experience is required to take up this specialization. Basics of all the required concepts are thoroughly explained. Experience how to perform predictive modeling and leverage graph analytics to model problems. Work on real-life scenario projects to understand how things are done in the real world.

Key USPs-

– The course guides you through the nuts and bolts of all the essential concepts to ace this program.

– Drive better business decisions by understanding how big data is analyzed and interpreted.

– Cover different intriguing topics such as machine learning with big data and much more.

– End the course with a final project that will give you an opportunity to implement the knowledge gained throughout the lectures.

Duration: 20 to 25 weeks

Rating: 4.5 out of 5

You can Sign up Here

This Harvard Certification program will teach you key data science essentials, including R and machine learning using real-world case studies to kick start your data science career. Spread across 9 courses, this immersive program is among the best rated online masters programs available on leading e-learning platform edX. The courses that make up this program include R Basics, Visualization, Probability, Inference and Modeling, Productivity Tools, Wrangling, Linear Regression, Machine Learning followed up with a Capstone project to test and try all that you learn in the course. To learn more about data science, do check out the compilation of best Data Science Courses.

Duration: 9 courses, 4 weeks per course, 2-4 hours per week

Rating: 4.6 out of 5

You can Sign up Here

If you have decided to pursue a career in Data Science or machine learning then this is a fairly good place to begin. This certification consists of a series of 9 courses that help you to acquire skills that are required to work on the projects available in the industry. The lectures cover a wide range of topics including data visualization, analysis, libraries, and open-source tools. By the end of the program, you will have multiple assignments and projects to showcase your skills and enhance your resume. You may also want to have a look at our compilation of top ML programs.

Key USPs-

– Well designed content and all the topics are covered elaborately.

– The instructor helps you to work on the fundamental techniques with the help of examples.

– Plenty of opportunities to implement the skills covered in the lessons and using real-world tools and real-world datasets.

– No prior programming or computer science knowledge is required as all the topics are covered from scratch.

– The classes contain tips and techniques along with assessments and projects.

Duration: 3 to 5 weeks per course, 2 to 7 hours per week

Rating: 4.6 out of 5

You can Sign up Here

This tutorial will help you to master the most popular big data technologies. There will be an opportunity to design distributed systems that manage big data using Hadoop and related technologies. Learn to analyze non-relational data using HBase, Cassandra, and MongoDB as well as understand how clusters are managed using different technologies and much more. To learn more, check out the best Hadoop Courses.

Key USPs-

– Work with Hadoop installation on your desktop.

– Write programs to analyze data with Pig and Spark.

– Learn how to handle streaming data in real time using Flume, Spark etc.

– Tons of exercises to solidify knowledge and clarify doubts.

– Each topic is covered in an elaborate manner with proper examples.

– 95 Lectures + 1 Supplemental resource + Full lifetime access

– Available at affordable pricing on e-learning platform Udemy.

Duration: 14.5 hours

Rating: 4.5 out of 5

You can Sign up Here

Excellent way of teaching, I already enrolled in the hadoop course with some other provider but started taking interest in your The Ultimate Hands-On Hadoop – Tame your Big Data! course. Thumps up for you Frank! One last thing if you can share your lecture materials that would be highly appreciated. Niaz Hussain

This is a one week accelerated on-demand course that aims to introduce the participants to the Big Data and Machine Learning capabilities of Google Cloud Platform. It provides a quick overview of the Google Cloud Platform and a deeper dive of the data processing capabilities. Prior experience in the query language, python and machine learning will be beneficial.

Key USPs-

– Learn to identify the purpose and value of the key Big Data and Machine Learning products in the Google Cloud Platform.

– Employ BigQuery and Cloud Datalab to carry out interactive data analysis.

– Train and use a neural network using TensorFlow.

Duration: 1 week, 6 to 10 hours per week

Rating: 4.6 out of 5

You can Sign up Here

This course will help you to come up with big data solutions. Commence with the fundamentals, master the most frequently used tools and end with a final project to show off the skills earned throughout the journey. Learn the necessary skills using Azure managed services and open-source systems like Hadoop and Spark.

Key USPs –

– No prior experience required to enrol in the program.

– Learn to analyze and visualize data and implement a data warehouse.

– Work with NoSQL and query relational data.

– Process big data at rest, motion, orchestrate workflow and build solutions.

– The program has three units and a final project.

Duration: 12 to 13 hours per course

You can Sign up Here

Gain an opportunity to frame big data analysis problems as Apache Spark scripts and develop distributed code using Scala programming language. Analyze graph structures and transform structured data with an array of tools and software and apply them to the available exercises. Some prior programming or scripting experience is required to get started with this certification.

Key USPs-

– A crash course on Scala is included in the program.

– Over 20 hands-on examples to implement the knowledge gained through the lectures.

– Detailed and well-paced content.

– Examples and assignments based on real-life scenarios help the student to go the extra mile.

– 53 Lectures + 1 Article + Full lifetime access

– Available at an affordable cost on Udemy.

Duration: 7.5 hours

Rating: 4.5 out of 5

You can Sign up Here

Great course. Frank has a really good teaching style. I learned a lot about how big data works and really what “big data” is. This course is very informative and makes me want to pursue more training and experience and even consider changing my focus in software after 20 years. I highly recommend this. Spark is covered very well. I would not call this a Scala course but he gives you what you need. If you are already a JVM type, you can easily follow only. Great stuff! – Joel Palmer

Frame big data analysis problems as Spark problems and understand how Spark Streaming lets you process data in real time. Work with various machine learning libraries and deal with some of the most commonly asked data mining questions with the help of various technologies. Learn Apache Spark in-depth? Check out best Apache Spark Courses.

Key USPs-

– The tutorial is very well designed with relevant scenarios.

– The concepts are followed by examples which make them easier to understand.

– The friendly tone of the study materials creates a great learning experience.

– 45 Lectures + 1 Article + 1 Downloadable Resource + Full lifetime access

– Available at a nominal rate on Udemy.

Duration: 5 hours

Rating: 4.4 out of 5

You can Sign up Here

Very nice Introduction to Apache Spark . Instructor Kane is very clear and confident.He put all hid experience in making this course. I hope he will upgrade the course with some more example use-cases and Spark Streaming along with GraphX api in Python in future. -Hemanta Baruah

This program uses both Python and Spark to analyze big data. There are a lot of opportunities to work on projects that mimic real-life scenarios as well as to create a powerful machine learning model with the help of different libraries. Enriched with projects and examples this tutorial is a crowd favorite.

Key USPs-

– Use Spark Streaming to analyze tweets in real-time.

– The curriculum is well designed and appropriately divided.

– Create a spam filter using Spark and Natural Language Processing.

– 66 Lectures + 3 Articles + 3 Downloadable Resources + Full lifetime access

– Available at an affordable rate on Udemy.

Duration: 10.5 hours

Rating: 4.4 out of 5

You can Sign up Here

I feel capable of tackling big data projects after completing this course! The projects are very practical and there is a good amount of experience with various real world data sets. Also, Jose is very response to the Q&A forums! I highly suggest this course for anyone seeking to become a data scientist or data engineer! -Mariah Akinbi

With the technological advancement that is taking place every day, big data is becoming a bigger part of our work and life gradually. This MicroMasters program teaches you to work with the tools and analytical methods to use data for decision making, collecting and organizing data at scale and understanding how data analysis can impact and bring changes in organizations. The lectures are designed in a way that will help you to develop both technical and computational skills that are the most popular requirements across a range of industries. Along with this, you can also enhance your critical skills in programming by working on a number of case studies.

Key USPs-

– Implement the concepts covered in the lessons by focusing on the theoretical as well as practical aspects of the concepts.

– Explore the fundamental programming concepts, computational thinking and come up with the data-driven problem and algorithmic design for big data.

– The course has complete explanations about how to install the necessary software and tools( R and Java) and work with them.

– The certification is divided into five courses going from fundamental which makes it easier to follow.

Duration: 6 to 10 weeks per course, 8 to 10 hours per week, per course

Rating : 4.7 out of 5

You can Sign up Here

So these were the 10 Best Big Data Tutorial, Class, Course, Training & Certification available online for 2020. Hope you found what you were looking for. Wish you a Happy Learning!