The ability to understand and work with data has become increasingly important in today's world, where data is ubiquitous and valuable. This course covers a range of topics, including what data is and
Intro to Data Analytics, SQL, and EDA Using Python
Intro to Data Analytics, SQL, and EDA Using Python
This course is part of How to Use Data Specialization
Instructor: Brandon Krakowsky
Included with 
Gain insight into a topic and learn the fundamentals.
Beginner level
Recommended experience
16 hours to complete
3 weeks at 5 hours a week
Flexible schedule
Learn at your own pace
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.
Details to know
Shareable certificate
Add to your LinkedIn profile
Recently updated!
February 2025
Assessments
8 assignments
Taught in English
See how employees at top companies are mastering in-demand skills
Build your subject-matter expertise
This course is part of the How to Use Data Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
- Learn new concepts from industry experts
- Gain a foundational understanding of a subject or tool
- Develop job-relevant skills with hands-on projects
- Earn a shareable career certificate
Earn a career certificate
Add this credential to your LinkedIn profile, resume, or CV
Share it on social media and in your performance review
There are 3 modules in this course
The ability to understand and work with data has become increasingly important in today's world, where data is ubiquitous and valuable. The first module in this course covers a range of topics, including what data is and its different types, what "big" data looks like, and how companies are using it. It also explores the fields of data analysis and data science, and how the two come together to help form the field of data analytics.
What's included
11 videos3 readings3 assignments
There are multiple ways of storing and accessing data, with a variety of deployment strategies and storage options, including databases, data warehouses, and data lakes. In week 2, we’ll look at accessing data in a database. We’ll provide some context around relational databases, and then do a deep dive into SQL, which is a query language used for accessing and updating databases.
What's included
22 videos8 readings2 assignments4 app items
Real-world problems are often hidden behind large amounts of data. Through exploratory data analysis (EDA), we can distill valuable information from data and make reliable predictions about it. In other words, Python and data analytics provide computer scientists with effective tools for understanding, processing, and utilizing real-world data. This module will take an in-depth look at how to use the powerful Python libraries pandas and NumPy to perform key tasks such as loading, querying, cleaning, summarizing, and visualizing data.
What's included
21 videos7 readings3 assignments4 app items
Instructor
Offered by
Recommended if you're interested in Data Analysis
University of Pennsylvania
University of Pennsylvania
Why people choose Coursera for their career
Felipe M.
Learner since 2018
"To be able to take courses at my own pace and rhythm has been an amazing experience. I can learn whenever it fits my schedule and mood."
Jennifer J.
Learner since 2020
"I directly applied the concepts and skills I learned from my courses to an exciting new project at work."
Larry W.
Learner since 2021
"When I need courses on topics that my university doesn't offer, Coursera is one of the best places to go."
Chaitanya A.
"Learning isn't just about being better at your job: it's so much more than that. Coursera allows me to learn without limits."
New to Data Analysis? Start here.
Open new doors with Coursera Plus
Unlimited access to 10,000+ world-class courses, hands-on projects, and job-ready certificate programs - all included in your subscription
Advance your career with an online degree
Earn a degree from world-class universities - 100% online
Join over 3,400 global companies that choose Coursera for Business
Upskill your employees to excel in the digital economy
Frequently asked questions
Access to lectures and assignments depends on your type of enrollment. If you take a course in audit mode, you will be able to see most course materials for free. To access graded assignments and to earn a Certificate, you will need to purchase the Certificate experience, during or after your audit. If you don't see the audit option:
The course may not offer an audit option. You can try a Free Trial instead, or apply for Financial Aid.
The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.
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.