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Name: Predictive Analytics
Rating: 4.44 (355 reviews)

Predictive Analytics

4.44 Beginner level 2.25 learning hrs 3.9K+ Learners

Instructor:

Mr. Bharani Akella

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Skills you will gain

Basics of Predictive Analytics

Industry Application

Linear Regression

Hands-on

Key Highlights

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Master in-demand skills & tools

Test your skills with quizzes

About this course

This "Predictive Analytics Tutorial" will help you to master the predictive algorithms in machine learning. Predictive analytics are used to determine customer responses or purchases, as well as promote cross-sell opportunities. Predictive models also help businesses attract, retain, and grow their most profitable customers. Data is everywhere. We generate data when using an ATM, browsing the Internet, or posting on Social Media platforms. And for that Predictive Analytics came into the picture and helps in providing valuable information that can help any business to make the right decisions. In simple terms, predictive analytics lets us predict the future on the basis of historical data. This course will let you understand each and every concept of "Predictive Analytics" that you can apply in real-life instances. In this course, we will also be covering different topics such as Linear Regression, Linear Regression in Python, Logistic Regression, and much more along with examples for better understanding.

Stand out with an industry-recognized certificate

Start learning

10,000+ certificates claimed, get yours today!

Get noticed by top recruiters

Share on professional channels

Globally recognised

Land your dream job

Course outline

Linear Regression

Introduction to Predictive Analysis

Agenda of Predictive Analysis Tutorial

Case Study Part 1

Industry Application

Predictive Analytics

Case Study Part 2

Get access to the complete curriculum once you enroll in the course

View Full Course

Predictive Analytics

4.44

2.25 Hours

Beginner

3.9K+ learners enrolled so far

Get free course content

Master in-demand skills & tools

Test your skills with quizzes

Trusted by 10 Million+ Learners globally

4.6

4.89

4.94

4.7

Learner reviews of the Free Courses

4.44

★★★★

★ ☆

★

69%

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☆

18%

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Lorenzo Hardeman

5.0

★★★★ ★

United States

“Learning the Different Regression Models”

Linear and logistic are different regression models, but both are used as industry applications for business decisions.

Laura Arnuz

5.0

★★★★ ★

“It's a Highly Valuable Course for Anyone Interested in the Topic - Highly Recommended!”

The well-structured material makes it accessible and useful for those looking to deepen their understanding. The instructor’s explanations are clear and supported with practical examples. Overall, it's a highly valuable course for anyone interested in the topic - highly recommended!

Guillermo Arnuz

5.0

★★★★ ★

“I Really Enjoyed Watching This Course”

The course explains many interesting topics in detail, and it is easy to follow along with the presentations.

Gabriela Arnuz

5.0

★★★★ ★

“The Course Was Really Interesting and Focused on Many Topics”

The instructor applied all the concepts to practical applications (Excel sheets), making it very informational.

srisai sai

5.0

★★★★ ★

India

“Mastered Predictive Analysis Techniques for Data Insights”

Learned advanced predictive analysis techniques, enabling the ability to forecast future trends and make data-driven decisions. The course provided practical knowledge and valuable skills for real-world applications.

maharsh shah

4.0

★★★ ★ ☆

India

“Great Experience Learning Different Excel Tools and Data Handling”

Great experience learning different Excel tools and knowing how to deal with data and the perfect use of Excel to build up charts. The explanation of linear and logistic regression was deepened through the use of case studies.

Sandeep Pratap Singh [PG25]

5.0

★★★★ ★

India

“I Learned New Things in Descriptive and Prescriptive Analytics”

Descriptive Analytics tells you what happened in the past. Diagnostic Analytics helps you understand why something happened in the past. Predictive Analytics predicts what is most likely to happen in the future. Prescriptive Analytics recommends actions you can take to affect those outcomes.

Lester Fajardo

5.0

★★★★ ★

United Arab Emirates

“Good Experience to Learn on This Module”

Easy to follow with clarity and ease of understanding the course materials.

Jayashree M

4.0

★★★ ★ ☆

India

“I Learned a Lot About Predictive Analytics and Models”

I liked how well the videos provided information about predictive analysis and how easily they explained it so that we can understand.

PRATIBHA TIWARI

5.0

★★★★ ★

India

“Structured Approach and Practical Exposure Made the Journey Insightful”

Appreciated the blend of theoretical knowledge and hands-on practice, which deepened my understanding.

Our course instructor

Mr. Bharani Akella

Data Scientist

Machine Learning Expert

5M+ Learners

125 Courses

Bharani has been working in the field of data science for the last 2 years. He has expertise in languages such as Python, R and Java. He also has expertise in the field of deep learning and has worked with deep learning frameworks such as Keras and TensorFlow. He has been in the technical content side from last 2 years and has taught numerous classes with respect to data science.

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 enroll 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 Predictive Analytics free course?

Yes, you will get a certificate of completion for Predictive Analytics 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 Predictive Analytics course cost?

It is an entirely free course from Great Learning Academy. Anyone interested in learning the basics of Predictive Analytics 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 Predictive Analytics 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 Predictive Analytics course?

Great Learning Academy provides this Predictive Analytics 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 Predictive Analytics 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 Predictive Analytics 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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