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Statistics Foundations

Master essential statistical concepts and tools for data analysis, from descriptive statistics to hypothesis testing and modeling.

Master essential statistical concepts and tools for data analysis, from descriptive statistics to hypothesis testing and modeling.

This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full Meta Data Analyst Professional Certificate or Meta Marketing Analytics Professional Certificate program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.

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(224 ratings)

24,673 already enrolled

Instructors:

English

پښتو, বাংলা, Tiếng Việt, 3 more

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Statistics Foundations

This course includes

19 Hours

Of Self-paced video lessons

Beginner Level

Completion Certificate

awarded on course completion

Free course

What you'll learn

  • Master descriptive and inferential statistical concepts

  • Formulate and test hypotheses effectively

  • Apply statistical analyses to business decisions

  • Create and interpret data models

  • Understand experimental design principles

Skills you'll gain

Statistical Analysis
Data Analysis
Hypothesis Testing
Linear Regression
Descriptive Statistics
Inferential Statistics
Data Modeling
Experimental Design
Sampling Methods
Statistical Testing

This course includes:

4.3 Hours PreRecorded video

20 assignments

Access on Mobile, Desktop

FullTime access

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There are 5 modules in this course

This comprehensive course provides a strong foundation in statistical concepts essential for data analytics. Students learn both descriptive and inferential statistics, covering topics from basic measures to advanced modeling techniques. The curriculum includes practical applications using Tableau, experimental design, hypothesis testing, and various modeling approaches including linear regression and cluster analysis. Through hands-on assignments and a capstone project, learners develop the ability to make data-driven decisions using statistical methods.

Descriptive Statistics

Module 1 · 5 Hours to complete

Inferential Statistics

Module 2 · 4 Hours to complete

Designing Experiments and Testing Hypotheses

Module 3 · 4 Hours to complete

Data Modeling

Module 4 · 5 Hours to complete

Using Statistics in Real-World Settings

Module 5 · 56 Minutes to complete

Fee Structure

Instructor

Brandi Robinson
Brandi Robinson

24,068 Students

2 Courses

Quantitative Research Methodologist, Cybersecurity Curriculum Writer

Brandi Rachelle Robinson, a seasoned Learning and Development specialist boasting a 19-year track record in the field. Having partnered with distinguished international universities, groundbreaking online educational institutions, elite consulting firms, and Forbes 500 corporations

Statistics Foundations

This course includes

19 Hours

Of Self-paced video lessons

Beginner Level

Completion Certificate

awarded on course completion

Free course

Testimonials

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Frequently asked questions

Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.