Professional CertificateBeginner5 Course Modules

Data Analytics

Instructors: Sean Barnes

DeepLearning.AI logo

Data Analytics

Beginner

5 Courses

367 Video Lessons

141 Reading Lessons

59 Practices

11 Graded Assignments

Instructor: Sean Barnes

DeepLearning.AI

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

Sean Barnes

Sean Barnes

Manager, Title & Launch Management Data Science and Engineering Manager at Netflix

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

Time Series Analysis
LLMs (Large Language Models)
Data Visualization
Data Analytics Fundamentals
Spreadsheets (Google Sheets)
Descriptive Statistics
AI for Analytics
Applied Statistics and Probability
Inferential Statistics
Python Programming for Data Analysis
SQL for Data Manipulation
Data Cleaning and Preprocessing
Correlation Analysis
Tableau Dashboard Creation
Data Segmentation
Data Storytelling

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

DeepLearning.AI

Want to learn more about Generative AI?

Keep learning with updates on curated AI news, courses, and events, as well as Andrew's thoughts from DeepLearning.AI!

Enroll for Free

Also available on Coursera