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Data – What It Is, What We Can Do With It
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Data – What It Is, What We Can Do With It

This course is part of Data Literacy Specialization.

Course Cost

Free course

Beginner

Skill Level

9 Hours

Self-paced lessons

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 Data Literacy Specialization 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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4.6

8,679 Enrolled

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English

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olive-leaves-logo

4.6

8,679 Enrolled

olive-leaves-logo

English

What you'll learn

  • Interpret descriptive statistics and data visualizations

  • Develop research studies for causal analysis

  • Compute and analyze descriptive statistics

  • Design effective data visualizations

  • Apply theoretical frameworks to data analysis

Skills you'll gain

Basic Descriptive Statistics
Causal Inference
Data Visualization
Empirical Evidence
Cross-Sectional Analysis
Statistical Analysis
Data Interpretation
Research Methods
Data Literacy
Statistical Theory

This course includes:

1.5 Hours PreRecorded video

13 assignments

Access on Mobile, Tablet, Desktop

FullTime access

Shareable certificate

Get a Completion Certificate

Share your certificate with prospective employers and your professional network on LinkedIn.

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Certificate
Certificate

Get a Completion Certificate

Share your certificate with prospective employers and your professional network on LinkedIn.

CREATED BY

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PROVIDED BY

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Top companies offer this course to their employees

Top companies provide this course to enhance their employees' skills, ensuring they excel in handling complex projects and drive organizational success.

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There are 4 modules in this course

This comprehensive course introduces students to data and statistics, focusing on interpreting descriptive statistics, causal analyses, and visualizations to draw meaningful insights. Students learn a framework for statistical analysis, covering descriptive, causal, and predictive inference. The curriculum includes developing research studies for causal analysis, computing descriptive statistics, and designing effective visualizations, preparing learners to become thoughtful consumers of analytics.

Data and Theories

Module 1 · 2 Hours to complete

The Causality Framework

Module 2 · 3 Hours to complete

Descriptive Statistics

Module 3 · 2 Hours to complete

Visualizations

Module 4 · 2 Hours to complete

Fee Structure

Individual course purchase is not available - to enroll in this course with a certificate, you need to purchase the complete Professional Certificate Course. For enrollment and detailed fee structure, visit the following: Data Literacy Specialization

Reviews

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Faculties

These are the expert instructors who will be teaching you throughout the course. With a wealth of knowledge and real-world experience, they're here to guide, inspire, and support you every step of the way. Get to know the people who will help you reach your learning goals and make the most of your journey.

Data – What It Is, What We Can Do With It

Beginner

Skill Level

9 Hours

Self-paced lessons

Course Cost

Free course

Completion

CERTIFICATE

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.