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Overview
This Data Literacy Specialization is offered by Coursera in partnership with Johns Hopkins University. This specialization is intended for professionals seeking to develop a skill set for interpreting statistical results.
Through four courses and a capstone project, you will cover descriptive statistics, data visualization, measurement, regression modeling, probability and uncertainty which will prepare you to interpret and critically evaluate a quantitative analysis.
Skills you'll gain
- General Statistics
- Data Analysis
- Probability & Statistics
- Research and Design
- Regression
- Data Visualization
Advance your subject-matter expertise
- Learn in-demand skills from university and industry experts
- Master a subject or tool with hands-on projects
- Develop a deep understanding of key concepts
- Earn a career certificate from Johns Hopkins University
Programme Structure
Courses included:
- Data – What It Is, What We Can Do With It
- Measurement – Turning Concepts into Data
- Quantifying Relationships with Regression Models
- What are the Chances? Probability and Uncertainty in Statistics
- Data Literacy Capstone – Evaluating Research
Key information
Duration
- Part-time
- 1 months
- 10 hrs/week
Start dates & application deadlines
You can apply for and start this programme anytime.
Language
English
Delivered
Online
Campus Location
- Mountain View, United States
Disciplines
Data Science & Big Data Data Analytics View 176 other Short Courses in Data Analytics in United StatesWhat students do after studying
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Academic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
We are not aware of any English requirements for this programme.
Other requirements
General requirements
- Beginner level
- Recommended experience: An interest in learning how to interpret data in an applied manner
Tuition Fees
Tuition fees are shown in and the most likely applicable fee is shown based on your nationality.
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International Applies to you
Applies to youNon-residentsFree - Out-of-StateFree
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Domestic
Applies to youIn-StateFree
Additional Details
Course is free for the first 7 days. After 7 days, the course can be accessed with the Coursera Plus Subscription
Funding
Coursera provides financial aid to learners who cannot afford the fee. Apply for it by clicking on the Financial Aid link beneath the "Enroll" button on the left. You'll be prompted to complete an application and will be notified if you are approved. You'll need to complete this step for each course in the Specialization, including the Capstone Project.
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