“How to Use Data” is designed to equip learners with the essential skills needed for a career in data analytics. This specialization emphasizes the ability to scope and answer critical business questions using data while providing a comprehensive foundation in key data analytics processes. In the first course, you’ll explore the fundamentals of data analysis, data science, and data analytics, learning about essential tools and programming languages through real-world case studies. You will master techniques like data wrangling with SQL, gaining hands-on experience with data storage, access, and manipulation using relational databases. Moving into exploratory data analysis (EDA) with Python, you’ll develop skills in data inspection, querying, summarization, and visualization. Additionally, you’ll learn how to apply predictive analytics techniques—such as regression, decision trees, random forests, and clustering—to solve complex business challenges and make data-driven predictions. Finally, you’ll gain expertise in creating impactful visualizations with Tableau and presenting data insights effectively to stakeholders, enabling you to drive informed decision-making in real-world scenarios.
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How to Use Data Specialization
Analyze Data, Build Models, and Present Insights. Transform data into actionable insights through data analysis, predictive modeling, data visualization, and communication of results.
Instructor: Brandon Krakowsky
Included with 
Recommended experience
Recommended experience
What you'll learn
Master the process of data wrangling, including data storage, access, and manipulation using SQL.
Perform exploratory data analysis (EDA) using Python, focusing on data inspection, cleaning, visualization, and summarization.
Apply predictive analytics techniques to make data-driven predictions using Python.
Create compelling data visualizations with Tableau for decision-making and storytelling.
Overview
Skills you'll gain
- Exploratory Data Analysis
- Tableau Software
- Verbal Communication Skills
- Interactive Data Visualization
- SQL
- Machine Learning
- Feature Engineering
- Analytics
- Predictive Modeling
- Unsupervised Learning
- Data Visualization
- Presentations
- Database Management
- Data Analysis
- Data Storytelling
- Predictive Analytics
- Data Visualization Software
- Data Science
- Data Presentation
Tools you'll learn
What’s included
Add to your LinkedIn profile
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 University of Pennsylvania
Specialization - 3 course series
What you'll learn
Classifying and analyzing data.
Executing SQL queries to work with data.
Using Python and pandas library to manipulate and explore data.
Skills you'll gain
What you'll learn
Implement data preprocessing and model training procedures for regression.
Interpret feature importance in decision trees and random forests.
Explain the difference between supervised and unsupervised learning.
Skills you'll gain
What you'll learn
Explore and interpret data through various visualization techniques, identifying trends, outliers, and patterns.
Create interactive and informative visualizations that enable data-driven decision-making and storytelling.
Analyze engaging and persuasive data presentations that captivate and inform stakeholders.
Skills you'll gain
Earn a career certificate
Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.
Instructor
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Frequently asked questions
This course is completely online, so there’s no need to show up to a classroom in person. You can access your lectures, readings and assignments anytime and anywhere via the web or your mobile device.
If you subscribed, you get a 7-day free trial during which you can cancel at no penalty. After that, we don’t give refunds, but you can cancel your subscription at any time. See our full refund policy.
Yes! To get started, click the course card that interests you and enroll. You can enroll and complete the course to earn a shareable certificate. When you subscribe to a course that is part of a Specialization, you’re automatically subscribed to the full Specialization. Visit your learner dashboard to track your progress.
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Financial aid available,