
Data Analytics
Instructors: Sean Barnes
Also available on Coursera
Data Analytics
Beginner
5 Courses
367 Video Lessons
141 Reading Lessons
59 Practices
11 Graded Assignments
Instructor: Sean Barnes
DeepLearning.AI
What you'll learn
Statistics for real-world decision-making: Learn to calculate and interpret descriptive and inferential statistics to solve business problems.
Data visualization and storytelling: Design clear, compelling visualizations that effectively communicate complex data stories to stakeholders.
Generative AI for analytics: Leverage generative AI in the data analytics lifecycle, with hands-on labs and guidance on when and how to use AI assistance.
Why Enroll?
Data-informed decision-making is now an essential skill for everyone, from everyday consumer choices to business decisions at all levels. As reliance on data grows, so does the need for professionals who can analyze and interpret it effectively.
The Data Analytics Professional Certificate, led by industry leader Sean Barnes, equips you with the skills to manage the entire data lifecycle, from defining problems to delivering insights. With this certificate, you’ll be prepared to pursue an entry-level role in data analytics or strengthen your current role with a solid foundation in data analysis.
The skills you’ll gain are in high demand, and with data science roles projected to grow 36% from 2023 to 2033 according to the U.S. Bureau of Labor Statistics, developing these skills puts you at the forefront of a data-centric world.

You’ll begin by learning the foundations of analysis and visualization, then move on to statistical techniques that support evidence-based decision-making. Next, you’ll develop Python skills to automate workflows and analyze data at scale (no prior coding experience required!). Then, you’ll work with real-world data to extract information from websites, APIs, and databases, and clean data with Python and SQL to prepare it for analysis.
Finally, you’ll learn to present your analysis in ways that support real decisions through clear writing, compelling visualizations, and interactive dashboards. You’ll also prepare for the job search with practical guidance on resumes, portfolios, and interviews.
Unique to this program is its integration of AI tools into the analytics workflow. You’ll learn to use large language models as a thought partner, accelerating tasks like simulation modeling, formula debugging, and data visualization. Each of the course examples comes from real-world use cases, building practical and immediately useful skills.
Whether you’re a software engineer working with data pipelines, a marketer or business analyst extracting insights, or building a career in data analysis, you’ll gain the foundation to excel in the data economy. Blending core statistical methods with AI-assisted workflows, this program is perfect for beginners entering the field as well as experienced practitioners looking to expand their analytical toolkit.
You’ll earn a certificate for individual courses, and certifying in all of them as they become available will grant you the Data Analytics Professional Certificate
Instructor
Build foundational knowledge in data analysis
Advanced statistical applications: Move beyond theory to practical implementation of correlation analysis, confidence intervals, and hypothesis testing to solve real business challenges.
Effective data-driven communication: Develop the crucial skill of translating complex analytical findings into clear, actionable insights for stakeholders at all levels, a must-have for thriving in cross-functional roles.
Future-ready analytics skills: Gain experience in AI-augmented workflows, preparing you for the cutting edge of data analytics, using AI to help speed up and improve analysis.
Skills you will gain
Who this course is for
- Aspiring Data Analysts: Build the essential skills needed to land roles like Data Analyst, Business Intelligence Analyst, Operations Analyst, or Data Specialist positions
- Software Engineers: Enhance your technical toolkit with data analysis capabilities to build more insightful applications or transition to data-focused engineering roles
- Marketing Professionals: Add data-driven decision making that transforms how you develop campaigns and measure performance
- Business Professionals: Develop quantitative expertise to leverage analytics in your current role, whether in product, operations, or management
- Career Changers: Create a portfolio of real-world data projects like forest fire prevention, customer retention, and product selection analyses
Everyone Curious About How to Make Use of Data: Learn to make sense of data and drive evidence-based decisions in both professional and personal contexts
Develop job-ready skills and prepare for a career in data analytics – no prior experience required.
Learner Reviews
Frequently Asked Questions
Course Outline
70 Video Lessons • 43 Reading Lessons
Welcome to data analytics!
Video • 6 mins
Generative AI in this course
Video • 2 mins
Welcome to the course
Reading • 5 mins
Module 1 introduction
Video • 1 min
Life as a data analyst
Video • 4 mins
Join the DeepLearning.AI Forum to ask questions, get support, or share amazing ideas!
Reading • 1 min
What is data analytics?
Video • 4 mins
Evidence-based decision-making
Video • 5 mins
A history of data analytics
Video • 4 mins
Modern industry use cases
Video • 5 mins
Data in ancient civilizations
Reading • 10 mins
Lesson 1 quiz
• 10 mins
Defining data
Video • 2 mins
Unstructured data
Video • 4 mins
Structured data
Video • 5 mins
Big data
Video • 5 mins
Lesson 2 quiz
• 10 mins
Practice Lab: E-commerce sales (Background)
Reading
Practice Lab: E-commerce sales
• 20 mins
Data ecosystems
Video • 3 mins
Collaborators outside your data team
Video • 3 mins
Collaborators on your data team
Video • 3 mins
Lesson 3 quiz
• 10 mins
Introduction to large language models
Video • 3 mins
Choosing an LLM
Video • 3 mins
Prompting LLMs
Video • 2 mins
LLM limitations
Video • 4 mins
Module 1 downloadable resources
Reading • 1 min
Demo: Interacting with LLMs
Video • 5 mins
Lesson 4 quiz
• 10 mins
About the LLM Labs in this course
Reading • 10 mins
Practice Lab: LLMs for data & decision-making
Reading with AI Assistant • 45 mins
Module 1 quiz
Graded・Quiz • 30 mins
Graded Lab: Pizza delivery
Reading • 1 hour 20 mins
Graded Lab: Pizza delivery insights quiz
Graded・Quiz • 30 mins
Module 1 resources
Reading • 10 mins
Module 1 lecture notes
Reading • 1 min
Data Analytics
Beginner
5 Courses
367 Video Lessons
141 Reading Lessons
59 Practices
11 Graded Assignments
Instructor: Sean Barnes
DeepLearning.AI
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