How will I use AI in this Specialization?

You’ll explore how AI can support development and data analytics workflows, including problem-solving, working with data, identifying insights, and improving efficiency.

Is this course really 100% online? Do I need to attend any classes in person?

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.

Can I just enroll in a single course?

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.

Is financial aid available?

Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.

Can I take the course for free?

No, you cannot take this course for free. 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. If you cannot afford the fee, you can apply for financial aid.

Will I earn university credit for completing the Specialization?

This Specialization doesn't carry university credit, but some universities may choose to accept Specialization Certificates for credit. Check with your institution to learn more.

Python Programming for Data Analytics Specialization

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Python Programming for Data Analytics Specialization

Build Data Analytics Skills with Python.

Use Python and AI-powered tools to analyze data, solve problems, and uncover actionable insights.

Instructor: Barry Finder

Included with Learn more

3 course series

Get in-depth knowledge of a subject

Beginner level

Recommended experience

12 weeks to complete

at 5 hours a week

Flexible schedule

Learn at your own pace

3 course series

Get in-depth knowledge of a subject

Beginner level

Recommended experience

12 weeks to complete

at 5 hours a week

Flexible schedule

Learn at your own pace

What you'll learn

Use Python programming to solve practical problems and support data analytics workflows.
Apply AI-enabled tools and techniques to support programming, data analysis, and problem-solving.
Analyze data, identify meaningful insights, and use findings to support data-informed decisions.

Skills you'll gain

Tools you'll learn

Details to know

Shareable certificate

Add to your LinkedIn profile

Taught in English

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Learn more about Coursera for Business

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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 Chegg Skills

Specialization - 3 course series

This Specialization is designed for learners who want to build practical programming and data analytics skills using Python and AI-enabled tools. Through three courses, you’ll develop Python programming skills, build a foundation in AI-enabled development, and apply AI to data analytics tasks and workflows. By the end of the Specialization, you’ll be prepared to use programming and AI to work with data, solve analytical problems, identify meaningful insights, and support data-informed decision-making.

Applied Learning Project

Learners will complete hands-on activities and projects that reflect practical programming and data analytics workflows. They’ll apply Python programming skills, use AI to support development and analytical tasks, and work through realistic problems involving data and insights. Projects emphasize practical application, problem-solving, evaluating outputs, and using programming and AI-enabled tools to support data-driven decisions.

Practical Python Programming

Course 1, 11 hours

What you'll learn

Write Python programs using foundational programming concepts and best practices.
Build reusable code with variables, functions, conditional logic, and loops.
Organize and manipulate data using Python collections, including lists, tuples, and dictionaries.
Develop the programming skills needed to pursue software development, data, AI, and automation pathways.

AI-Enabled Web Development Foundations

Course 2, 13 hours

What you'll learn

Build a strong foundation in Python programming using variables, data types, functions, collections, loops, and conditional logic.
Configure a professional development environment using Visual Studio Code, the terminal, and Google Colab.
Explain how Python supports modern web development through server-side programming, web frameworks, and AI-enabled applications.
Apply foundational programming concepts to develop simple Python programs for web development scenarios.

Skills you'll gain

Category: Web Development

Category: Python Programming

Category: Development Environment

Category: Server Side

Category: Web Applications

Category: AI Enablement

Category: AI Integrations

Category: Application Frameworks

Category: Integrated Development Environments

Category: Back-End Web Development

Category: Scripting

Category: Software Development Tools

Category: Hypertext Markup Language (HTML)

Category: Javascript

Category: Front-End Web Development

Category: Software Development

Category: Web Development Tools

Category: Cascading Style Sheets (CSS)

Category: Program Development

Category: Web Frameworks

AI-Enabled Data Analytics

Course 3, 19 hours

What you'll learn

Apply AI tools to support data analysis and business decision-making.
Organize, clean, and prepare data for analysis.
Use AI to identify trends and generate meaningful insights. Create visualizations to communicate findings effectively.
Evaluate the strengths and limitations of AI-assisted analytics. Apply responsible AI practices when working with business data.

Skills you'll gain

Category: Prompt Engineering

Category: Microsoft Excel

Category: Responsible AI

Category: Business Analytics

Category: Business Intelligence

Category: Predictive Analytics

Category: Trend Analysis

Category: Data Visualization

Category: Statistical Analysis

Category: Data Storytelling

Category: Decision Making

Category: Business Reporting

Category: Problem Solving

Category: Decision Support Systems

Category: Data Analysis

Category: Data Literacy

Category: Analytics

Category: Data Ethics

Category: Artificial Intelligence

Category: Generative AI

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

Barry Finder

Chegg Skills

33 Courses430 learners

Offered by

Chegg Skills

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Frequently asked questions

Yes. We recommend completing the courses in the order presented, as each course builds on skills introduced in the previous one. You’ll begin with practical Python programming, progress to AI-enabled development, and then apply those skills to data analytics tasks and workflows.

Course progression: Practical Python Programming → AI-Enabled Web Development Foundations → AI-Enabled Data Analytics

You’ll be prepared to use Python and AI-enabled tools to solve practical problems, support data analytics workflows, analyze data, and identify insights that can inform decisions.

No. The Specialization begins by building practical Python programming skills before progressing into AI-enabled development and data analytics applications.