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Data Analytics and Artificial Intelligence for Beginners

Learn the basic concepts of data analytics, AI, business intelligence, big data, machine learning, and deep learning.

Data Analytics and Artificial Intelligence for Beginners is a beginner-level online course from Udemy in Artificial Intelligence. It is structured in 4 modules with 8 stated learning outcomes. It is free to enrol, and a certificate is available on completion. Learners rate it 4.1/5 from 299 ratings on Udemy, with 1.5K enrolled.

Part of our Artificial Intelligence courses collection, where we compare it against 32 other courses.

★★★★★4.1(299 reviews) 1.5K learners English

Course highlights

Provider Udemy
Level Beginner
Mode Self-paced
Language English
Certificate Yes — shareable certificate
Rating 4.1★ (299 reviews)
Learners 1.5K
Price Free

About this course

Data analytics involves examining raw data to find trends, patterns, and insights. Artificial intelligence (AI) focuses on creating systems that can perform tasks typically requiring human intelligence, such as learning, problem-solving, and decision-making. Both fields are crucial for businesses today, helping them make informed choices and automate complex processes.

This course, Data Analytics and Artificial Intelligence for Beginners, introduces fundamental concepts across these areas. It covers the history of data analysis, from early statistics to modern techniques used by major tech companies. Learners explore the challenges of managing large data stores, known as “big data,” and understand various approaches to data mining. The course also discusses business intelligence, including how to design effective dashboards and present data clearly.

You learn the key differences between diagnostic, descriptive, predictive, and prescriptive analytics. The curriculum provides an overview of specific analytics processes and models. For artificial intelligence, the course explores its evolution, functions, and current business applications. It also covers machine learning, explaining how systems learn from data, identify patterns, and make decisions with minimal human input.

Who is Data Analytics and Artificial Intelligence for Beginners For?

This course is designed for beginners. After completing it, you understand the foundational concepts of data analytics, AI, business intelligence, big data, machine learning, and deep learning. You can explain the history of data analysis and the challenges associated with big data. You also distinguish between different types of analytics and describe the basic functions of AI and machine learning in business contexts.

This course provides a broad introduction but does not delve into advanced technical implementation or programming. If you seek a deeper focus on specific AI topics, other options are available. For a general introduction to AI, consider Introduction To Artificial Intelligence by Udemy, which has a rating of 4.4 from 4065 reviews. Another choice is Coursera's Introduction to Artificial Intelligence (AI), rated 4.7 by 23278 reviewers. If you are interested in specific AI programming languages, Udemy also offers Artificial Intelligence Markup Language (AIML), rated 4.3 by 1675 reviews.

What you’ll learn

A brief overview of the history of analyzing data, from medieval statistics to the sophisticated techniques developed by the likes of Google and Microsoft.
A look at data stores, which are growing exponentially, and the challenges of wrangling “big data.”
Understanding of data mining—what it entails, different approaches, and who’s leading the way.
A two-part discussion of business intelligence, including the principles of sound dashboard design and data presentation.
The key differences between the four types of analytics—diagnostic, descriptive, predictive, and prescriptive
An overview of specific analytics processes and models.
A first look at AI, its evolution, its functions, and what it can do for businesses today.
An exploration of machine learning—how systems can learn from data, identify patterns, and make decisions with little human intervention.

Level and time commitment

Udemy lists this course at Beginner level.
No prior experience in the subject is assumed — this is where the provider expects a newcomer to start.

Skills you’ll gain

Thing

What this course covers

4 modules

The 4-part outline Udemy publishes for this course.

Module 1 · Analytics Beginnings
Module 2 · Artificial Intelligence
Module 3 · Exercise & Course Close
Module 4 · Additional Training

What learners rate it

4.1
★★★★★
299 ratings

Rated 4.1/5 by 299 learners on Udemy (checked 10 Aug 2026).

This rating is collected by Udemy from its own enrolled learners. We reproduce it as reported and do not accept paid or incentivised reviews. See it on Udemy →

How this page is put together

Compiled by the CoursesGlobal editorial desk. Fees, ratings, duration and certificate details for the 1 course shown are read directly from Udemy course pages — we never estimate a price or a rating. Last verified 10 August 2026.

How we compare and rank courses · Our review policy · Affiliate disclosure

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Artificial Intelligence (AI) Education for Teachers Coursera 4.7★ Check price 20h 1m Beginner-friendly · 20h 1m
Introduction to Artificial Intelligence (AI) Coursera 4.7★ Check price 13h 25m Beginner-friendly · 13h 25m
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Common questions

Is Data Analytics and Artificial Intelligence for Beginners free?

Yes. Udemy lists it as free to enrol. A certificate is available on completion — providers often charge separately for the certificate even when the course itself is free, so check the fee on the provider page before you count on it.

Does Data Analytics and Artificial Intelligence for Beginners come with a certificate?

Yes — Udemy lists a certificate on completion. It is a course certificate, not a formal qualification or university credit.

Is Data Analytics and Artificial Intelligence for Beginners suitable for beginners?

Yes. Udemy lists it at Beginner level, so no prior experience in the subject is assumed.

What does Data Analytics and Artificial Intelligence for Beginners cover?

It is organised into 4 modules, starting with Analytics Beginnings and going on to Artificial Intelligence, Exercise & Course Close, Additional Training. The full outline is on this page.