Statistics for real-world decision-making: Learn to calculate and interpret descriptive and inferential statistics to solve business problems.

Data Analytics
Instructor: Sean Barnes
DeepLearning.AI
Earn a certificate with PRO
Also available on Coursera
- Beginner
- 146 hours 59 mins
- 367 Video Lessons
- 59 Code Examples
- 46 Graded Assignments PRO
- Earn a certificate with PRO
- Instructor: Sean Barnes
DeepLearning.AI- Learn more aboutMembership PRO Plan
Also available on Coursera
What you'll learn
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
Course Outline
Data Analytics Foundations
Applied Statistics for Data Analytics
Python for Data Analytics
Data I/O and Preprocessing with Python and SQL
Data Storytelling

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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 from other DeepLearning.AI courses
Selami A.
What I loved about the “AI for Everyone” course was the comprehensive coverage of essential AI topics, guided by the expertise of Andrew Ng. The course provided a clear roadmap for initiating and managing AI projects, from project selection to implementation. It also offered insights into building AI teams and introduced the technical tools necessary for AI success
Chris C.
Simple enough to make it easy to understand in spite of being a complex topic, inspiring speaker. Time well spent, and a good fit with “lifelong learning” approach.
Adeel B.
What stood out to me about this course was the clarity and simplicity with which complex AI concepts were explained. The real-life examples and case studies helped me grasp the practical implications of AI in different sectors. The interactive nature of the course made learning engaging and enjoyable.
Krystal L.
I am an educator and looking to incorporate AI into my career and help my colleagues to do the same. The course did a great job explaining AI concepts to people like myself who are just learning about any of this for the first time.
John S.
I took this course purely out of curiosity. After becoming aware of ChatGPT and Midjourney and then taking a short course on engineering the prompts to get the desired result, I became more intrigued with the topic of AI. I found this most helpful with regards to getting an idea about what AI actually is as opposed to what Hollywood conditioned me to believe it might be.
Muhammad S.
Loved the content. It brought simplicity to the complex topic of AI, separated signal from noise, presented a great flow and covered the most relevant topics.
Andrew’s knowledge and passion about the subject of AI was amazing. It was inspiring to listen to him, even via recorded videos. Its really great to be in this era of technology, as it makes it possible to get access to the wealth of knowledge so easily.
Frequently Asked Questions
The course is designed to be completed in about a month, with an estimated commitment of 5 hours per week.
Yes, the course is designed to be self-paced.
Access to discussion forums, detailed documentation, and resources to support your learning.
You will receive a certificate at the end of each course if you pay or receive financial aid for the courses and complete the assessments. There is a limit of 180 days of certificate eligibility, after which you must re-purchase the course to obtain a certificate. If you audit the course for free, you will not receive a certificate.
If you complete all 3 courses in the Professional Certificate, you will also receive an additional certificate showing that you completed the entire Professional Certificate.
Please use the Coursera Learner Help Center for questions about your subscription.
A Coursera subscription costs $49 / month.
Yes, Coursera provides financial aid to learners who cannot afford the cost of a subscription.
> Yes! You can preview the course for free by accessing the entire first module at no cost. This allows you to explore the learning experience before deciding if you’d like to continue. If you want full access to all modules, assessments, and the certificate of completion, you’ll need to upgrade to the paid version.
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