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With so many Big Data courses, students find it extremely difficult to meet their needs. Learners often ask if there is a Big Data course for each case. The response is YES. Below are popular courses available. Registering for the right course is an important factor in your career progression. In this article, the best Big Data courses were selected by experts in 2023.
The main aim is to illustrate the best known courses in every category.
Select one that best suits your needs, based on your preference.
However, let’s look at the best Big Data courses on the market.
Table of Contents
Duration: 9 courses, 4 weeks per course, 2-4 hours per week
Rating: 4.6 out of 5
This Harvard Certification tutorial will equip you key information science important to begin your data science career, including R and Machine Learning with real-life case studies. This interactive curriculum is one of the best rated online Master programs on the leading e-learning platform edX and is spread over 9 courses. Courses includes basic Rs, Visualization, Probability, Deference and Modeling, Productivity Tools, Wrangling, Linear Regression, Machine Learning. All you learn in the course are tested and tested by the Capstone project.
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Duration: 20 to 25 weeks
Rating: 4.5 out of 5
This specialization requires no previous experience. The fundamentals of all the necessary concepts are explained in detail. Understand how predictive modelling and graph analysis can be used to model problems. Take on projects with actual life situations to learn how things in the real world are done.
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Duration: 14.5 hours
Rating: 4.5 out of 5
This tutorial helps you grasp the most popular large data technology. There is a chance to build distributed systems which manage big data using Hadoop and related technologies. Learn how to analyze non-relation data using HBase, Cassandra and MongoDB and how clusters use different technologies and so much more.
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Duration: 3 to 5 weeks per course, 2 to 7 hours per week
Rating: 4.6 out of 5
If you have wanted to pursue a career in data science or machine learning, this is a nice spot to continue. This qualification includes a number of 9 classes that help you develop the skills required to pursue projects in the industry. The lectures include data visualisation, analysis, libraries and open-source tools. At the end of the program, you will have several activities and assignments to demonstrate your talents and develop your cv. You may want to test our top ML system compilation.
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Duration: Self Paced
This course will help you to find solutions for big data. Start with the basics, learn the most commonly used methods and finish with a final assignment to illustrate the skills learned during the journey. Learn the requisite skills using open source platforms such as Hadoop and Spark and managed Azure services.
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Duration: 1 week, 6 to 10 hours per week
Rating: 4.6 out of 5
The goal of this one-week on-demand course is to introduce participants to Google Cloud ‘s big data and machine learning capabilities. It offers a quick overview of the Google Cloud Platform and an insight into the capacities of data processing. Past query language experience, python and machine learning would be helpful.
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Duration: 5 hours
Rating: 4.4 out of 5
Frame big data processing issues like Spark problems and consider how Spark Streaming allows you to process data in real-time. Perform with several machine learning libraries and interact with some of the most frequently asked questions on data mining using different technologies.
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Duration: 7.5 hours
Rating: 4.5 out of 5
Gain the chance to frame big data analysis problem as Apache Spark scripts and use the programming language Scala to develop distributed code. Analyze graph structures and transform organized data with a range of tools and software and use them for the exercises available. To begin this certification, some previous programming or scripting experience is required.
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Duration: 6 to 10 weeks per course, 8 to 10 hours per week, per course
Rating : 4.7 out of 5
Despite all the technological progress that occurs daily, big data slowly becomes a larger part of our work and life. This MicroMaster program teaches you to use the tools and analytical methods for decision-making, data collection and organization, and how data analysis can impact and bring about organizational changes. The lectures are designed to encourage you to learn the most common technical and computer skills in a wide range of industries. In addition, you can also develop your essential programming skills by working on a variety of case studies.
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Duration: 10.5 hours
Rating: 4.4 out of 5
Both Python and Spark are used to analyze large data. There are a number of ways to work on projects that simulate real-life situations and to use various libraries to create a strong machine-learning model. This tutorial is filled with projects and examples.
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This is the list of the 10 Best Online Big Data Courses and Certification of 2023. They are popular and loved by many experienced Big Data Courses learners. You will find between these courses what you need to learn in order to continue your Big Data journey.
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