Applications of Data Science & Machine Learning

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Intermediate

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1.5 Hrs

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1.1K+

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Applications of Data Science & Machine Learning

1.5 Learning Hours . Intermediate

Skills you’ll Learn

About this course

 

Data Science deals with data gathering, analysis, decision-making, etc. Finding patterns in data through analysis and forecasting the future are key components of data science. The scientific discipline of machine learning enables computers to learn without explicit programming. The ability of machines to learn gives the computer a more human-like quality. In this course, we can learn concepts like PCA, Clustering, Predictions, and how to make data-driven decisions, with relevant tools and approaches. 

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Course Outline

Introduction to Data Science and Machine Learning
Predictions
From Data to Decisions

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4.65
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Earn a certificate of completion

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Get free course content

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Learn at your own pace

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Master in-demand skills & tools

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Test your skills with quizzes

Applications of Data Science & Machine Learning

1.5 Learning Hours . Intermediate

Frequently Asked Questions

Will I receive a certificate upon completing this free course?

Yes, upon successful completion of the course and payment of the certificate fee, you will receive a completion certificate that you can add to your resume.

Is this course free?

Yes, you may enrol in the course and access the course content for free. However, if you wish to obtain a certificate upon completion, a non-refundable fee is applicable.

Will I get a certificate after completing this Applications of Data Science Machine Learning free course?

Yes, you will get a certificate of completion for Applications of Data Science Machine Learning after completing all the modules and cracking the assessment. The assessment tests your knowledge of the subject and badges your skills.

How much does this Applications of Data Science Machine Learning course cost?

It is an entirely free course from Great Learning Academy. Anyone interested in learning the basics of Applications of Data Science Machine Learning can get started with this course.

Is there any limit on how many times I can take this free course?

Once you enroll in the Applications of Data Science Machine Learning course, you have lifetime access to it. So, you can log in anytime and learn it for free online.

Can I sign up for multiple courses from Great Learning Academy at the same time?

Yes, you can enroll in as many courses as you want from Great Learning Academy. There is no limit to the number of courses you can enroll in at once, but since the courses offered by Great Learning Academy are free, we suggest you learn one by one to get the best out of the subject.

Why choose Great Learning Academy for this free Applications of Data Science Machine Learning course?

Great Learning Academy provides this application of Data Science Machine Learning course for free online. The course is self-paced and helps you understand various topics that fall under the subject with solved problems and demonstrated examples. The course is carefully designed, keeping in mind to cater to both beginners and professionals, and is delivered by subject experts. Great Learning is a global ed-tech platform dedicated to developing competent professionals. Great Learning Academy is an initiative by Great Learning that offers in-demand free online courses to help people advance in their jobs. More than 5 million learners from 140 countries have benefited from Great Learning Academy's free online courses with certificates. It is a one-stop place for all of a learner's goals.

What are the steps to enroll in this Applications of Data Science Machine Learning course?

Enrolling in any of the Great Learning Academy’s courses is just one step process. Sign-up for the course, you are interested in learning through your E-mail ID and start learning them for free online.

Will I have lifetime access to this free Applications of Data Science Machine Learning course?

Yes, once you enroll in the course, you will have lifetime access, where you can log in and learn whenever you want to. 

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