Great Learning
Free Courses
Machine Learning

Inferential Statistics

Name: Inferential Statistics
Rating: 4.54 (226 reviews)

4.54

Ratings

Beginner

Level

1.5 Hrs

Learning hours

4.1K+

Learners

Enrol free with email

Certificate of completion

Presented to

Your Name

For successfully completing a free online course

Inferential Statistics

Provided by

Great Learning Academy

Skills you’ll Learn

Data Collection

Statistical Analysis

Probability

Central Limit Theorem

Hypothesis Testing

Chi-Square Test

About this Free Certificate Course

Statistics is one of the most important fundamental components that sees its usage in almost all of the domains that use metrics of sorts. Inferential statistics is a popular division in the world of statistics that deals with making inferences about experiments at hand and/or with trackable metrics. The advantage is this, inferential statistics can process numerical data and categorical data with ease. This makes its usage seep into domains and whip up applications that we never thought of before. Since it is a key component of many other domains and a vital part of statistics itself, we here at Great Learning have come up with this course to help you get started with all the fundamentals and to help you build your skillsets in statistics.

Why upskill with us?

1000+ free courses

In-demand skills & tools

Free life time Access

Course Outline

Introduction to Statistics

Statistics is the discipline of science that deals with studying the collection of data, analyzing, interpreting, and presenting empirical data. It explores the variation in the set of data.

Data Collection for Statistics

Statistics uses many approaches to collect the data for statistical analysis. Direct observation, Experiments, and surveys are the most popular methods to obtain data for statistical analysis. The survey collects data from people through Gallup polls, pre-election polls, marketing surveys, and other forms.

Types of Statistical Analysis

Descriptive Statistical analysis deals with organizing and interpreting data using graphical and numerical methods, such as Inferential Statistical Analysis, Predictive Analysis, Prescriptive Analysis, Casual Analysis, Mechanistic Analysis are the standard statistical analysis techniques used in Descriptive Statistics.

Deep Dive into Inferential Statistics

Probability and Central Limit Theorem

Trusted by 10 Million+ Learners globally

4.8

4.81

4.97

4.7

What our learners say about the course

Find out how our platform helped our learners to upskill in their career.

4.54

★★★★

★ ☆

Course Rating

★

74%

★

☆

16%

★

☆

★

☆

★

☆

Ratings & Reviews of this Course

Vishal Randhawa

5.0

★★★★ ★

Engaging and Well-Structured Course

I really enjoyed how the curriculum was well-organized and easy to follow. The quizzes and assignments provided a great way to test my understanding. The practical tools and skills covered were highly relevant, and the depth of the topics was just right. Overall, it was a rewarding learning experience that kept me engaged throughout.

Certificate of completion

Presented to

Your Name

For successfully completing a free online course

Inferential Statistics

Provided by

Great Learning Academy

Inferential Statistics

1.5 Learning Hours . Beginner

Why upskill with us?

1000+ free courses

In-demand skills & tools

Free life time Access

10 Million+ learners

Success stories

Can Great Learning Academy courses help your career? Our learners tell us how.

The AI for Leaders program was thoughtfully designed to include a high level of exposure to experts practicing in the field. Each topic was covered in enough detail to build a solid knowledge base.

Chris Hegeman

Director of Marketing Analytics & Business Intelligence- Embedded Technology/ IoT

Dell, Inc, US

The learning experience was very enriching and the mentors and advisors were very supportive all along. I'm extremely glad I signed up for the program. I definitely got what I wanted from the program and strongly recommend it.

Javier R. Olaechea

Data Solution Integration Advisor

ExxonMobil, US

I found the Data science program to have the perfect combination of relevant content, flexibility, academic rigor, and practical content that allowed me to immediately put all into practice at work.

Gabriel Arbe

Director of Operations, Latin America

VMWARE, US

The AI for Leaders program has been a great learning experience with right levels of depth and breadth across the subject. It is a well administered program which enhanced my learning experience.

Raghavendra P Setty

Vice President

Charles Schwab & Co. In, US

I believe the AIML course is of high-quality, and all the instructors are highly prepared in every topic. I also believe our Mentor is doing a fantastic job every week, and his personal insights and additions to the materials are very valuable.

Gaston Alvarado Maza

Global Category Manager

Materion Corporation,US

The data science journey was full of intense learning, but the best experience I have had. I would be willing to do it over and over again. I will highly recommend it. Thank you The University of Texas and Great Learning!

Kati Laev

Customer Service Administrator

CMT Limited UK

The program was flexible and increased my understanding of AI and the processes for integrating it into business. I would highly recommend this program to business professionals who want to understand AI and its applicability in projects better.

Hugh Hanlon

Defense Research Analyst-Associate, Booz Allen Hamilton (United States)

Booz Allen, US

The AIML program has given me solid foundational knowledge around Python, AI, and ML. The program content was very well-curated, and it covered the right things in the right depth for a program like this.

Pertuso Dryonis

Sr. Advisor Applied Data Analytics, Hess Corporation (United States))

Hess, US

And thousands more such success stories..

Recommended Free Machine Learning courses

Free

Beginner

Free

Beginner

Free

Beginner

Similar courses you might like

Free

Beginner

Free

INTERMEDIATE

Free

Beginner

Free

Beginner

Related Machine Learning Courses

50% Average salary hike

Explore degree and certificate programs from world-class universities that take your career forward.

Personalized Recommendations

Placement assistance

Personalized mentorship

Detailed curriculum

Learn from world-class faculties

Personalized Recommendations

Placement assistance

Personalized mentorship

Detailed curriculum

Learn from world-class faculties

50% Average salary hike
MIT IDSS
Data Science and Machine Learning: Making Data-Driven Decisions

12 weeks · Online

Know More
MIT Professional Education
Applied Data Science Program

12 Weeks · Live Virtual · Weekdays & Weekend

Know More
University of Texas - McCombs
PG Program in Data Science and Business Analytics

7 Months · Online · Weekend

Know More