365 Data Science Course Catalog: A Quick Tour for New Learners (2026)

Join over 2 million students who advanced their careers with 365 Data Science. Learn from instructors who have worked at Meta, Spotify, Google, IKEA, Netflix, and Coca-Cola and master Python, SQL, Excel, machine learning, data analysis, AI fundamentals, and more.

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Nicolette Son Nicolette Son 24 Feb 2026 10 min read

If you’re new to 365 Data Science, our catalog can feel like a lot—in a good way. You see courses on SQL, Python, dashboards, AI, machine learning, LLMs, and much more.

This quick tour will help you understand what the courses are like, how they’re grouped, and which ones make the best first steps if you’re learning alongside work, life, and everything else.

And if credibility is part of your decision: 365 Data Science is the #1 most reviewed and highest-rated online AI & data learning platform on Trustpilot.

Our learning is accredited by six reputable organizations.

Sign up to try our lessons today.

Can online courses help you get an AI & data job?

Yes, they do. 😊

Let us share Lee’s inspiring story (full video here).

Lee is from Colorado and spent years working in a lab—surrounded by data, but unsure how to turn that experience into a data career.

After joining 365 Data Science, things started changing fast.

Within the first few weeks, he strengthened his Excel and data visualization skills and began applying them directly to client performance projects at work. He then moved on to SQL and databases, gaining the technical confidence he needed to stand out.

Just 6 months into the program, he started landing interviews for both business analyst and data analyst roles.

 

Today—9 months after joining—he works downtown at a tech company as a full-time data analyst.

Lee’s story is just one of many. With the right tools, structure, and support, a real career change isn’t just possible—it’s already happening. You could be next.

What a 365 Data Science course is like

A typical 365 Data Science course is 100% self-paced, so you can learn whenever it works for you—on the metro to work, during a lunch break, late at night, or in short sessions on the weekend. Everything is available online anytime, so you’re not trying to fit your schedule around the course—the course fits around you.

Most courses include:

  • Short video and text lessons
  • Interactive exercises to apply what you learned immediately
  • Practice exams so you can spot gaps early
  • A course exam in the end (so progress is assessed, not just “completed”)
  • Helpful learning extras like transcripts and timestamp notes, so it’s easier to pick up where you left off.

And you don’t have to commit upfront to see how it feels. With the Free , you can access free lessons and try our interactive exercises—so you can test the learning style before upgrading.

If you get stuck, you also have ways to get help and stay connected:

  • Ask the instructor directly from the course page (there’s a message option; replies usually come within a few days)
  • Use the Q&A/community spaces to discuss topics and get input from other learners
  • Download course notes and resources so you can revise offline and keep everything in one place

In short: 365 doesn not preach "watch videos and hope it sticks.” Istead, the entire curriculum is built to help you learn, practice, and keep moving—one small session at a time.

CPE credits

If you’re learning for professional development, there’s an extra perk: 365 Data Science can award CPE credits. We’re registered with NASBA’s National Registry of CPE Sponsors, which means certain courses can count toward Continuing Professional Education (CPE)—useful if you’re in fields like accounting, finance, analytics, or any role where ongoing education matters.

What’s inside the course catalog

The 365 Data Science course builds solid AI and data skills, so you can apply your knowledge in real life.

Here’s what you get inside the platform:

  • 125+ courses across AI, machine learning, Python, SQL, data visualization, and more
  • 30+ projects to practice on real, job-relevant tasks (and build portfolio-ready work)
  • 11 career tracks that bundle courses into role-based roadmaps (so you know what to learn next—and why)
  • Interactive exercises + practice exams to turn learning into actual skills
  • Course exams + Career track exams that lead to Course Certificates and Career Track Certificates
  • Downloadable course notes and resources, plus transcripts and timestamp notes to make revision easy
  • Career tools like a resume builder and an AI interview simulator, so learning connects to job prep

If you’re just exploring, the Free Plan lets you preview course content and try selected learning features—then you can upgrade when you’re ready to unlock full access, exams, and certificates.

How you get an AI & data certificates

Your 365 certificate is assessment-based and backed by accreditation. You earn it by passing exams on a platform recognized by ADaSci, ELQN, IoA, EAHEA, GAOTE, and NASBA (CPE credits for eligible learning).

There are two main :

Course Certificate

You earn a Course Certificate by passing the course exam. It’s a quick, motivating milestone you can stack over time—one course at a time—so your progress stays visible.

A few popular, beginner-friendly examples:

Career Track Certificate

A Career Track Certificate is the more advanced credential. You earn it by completing a role-based learning path (a structured sequence of courses) and passing the required exams. It’s designed to show you built a job-relevant skill set—not just one isolated skill.

Career Tracks you can choose from:

  • AI Engineer
  • AI Agent Engineer
  • Data Analyst
  • Business Analyst
  • Data Scientist
  • Senior Data Analyst
  • Senior Data Scientist
  • Data Engineer
  • Machine Learning Scientist
  • Power BI Developer
  • Tableau Developer

What courses to take first (3 paths)

Most new learners don’t need “the perfect course”—they need a starting point that matches their goal. Here are three simple ways to choose your first courses without overthinking it.

If you’re brand new…

Start with the basics that unlock everything else. A solid beginner course sequence is:

  • Introduction to Data and Data Science (big-picture clarity)
  • SQL (core skill for most data roles)
  • Introduction to Python (foundation for analysis + modern AI workflows)

If you want a confidence boost early, add one practical tool after SQL:

  • Power BI or Tableau

If you want a data job…

If your goal is a role like data analyst or business analyst, focus on the skills you’ll use daily—and build proof as you go with these courses:

  • SQL → Excel → Statistics
  • Python + pandas (cleaning + analysis)
  • Power BI or Tableau (dashboards + storytelling)
  • Then move into projects + practice exams to reinforce the skills

This path gives you both competence and talking points for interviews.

If you want an AI-focused job…

Modern AI gets much easier once you’re comfortable with Python basics. A beginner-friendly AI course list looks like:

  • Introduction to Python
  • Intro to AI
  • Intro to LLMs
  • Build Chat Applications with OpenAI and LangChain
  • LLM Engineering in Practice with Streamlit and OpenAI
  • Intro to AI Agents and Agentic AI
  • AI Ethics

If you’re short on time: start with Python + Intro to AI courses, then choose LLMs or Agents as your next focus.

What makes 365 Data Science different from other platforms

Here’s what 365 does differently—especially if you’re learning for real career outcomes, not just curiosity.

  • It gives you a path, not just options. Career Tracks guide you through the right courses in the right order, so you’re not guessing what to learn next.
  • It’s built for practice, not passive watching. Interactive exercises, projects, and practice exams are part of the learning flow—so you actually use what you learn.
  • Certificates are exam-based and accreditation-backed. You earn certificates by passing exams, and 365 is accredited/recognized by six reputable organizations (including NASBA for CPE credits on eligible learning).
  • It connects learning to job prep. You get career tools like a resume builder and an AI interview simulator—so progress isn’t just “learning,” it’s positioning.
  • It works with real schedules. Self-paced, available anytime, and easier to return to after a busy week (transcripts, timestamp notes, downloadable resources help a lot).

Real student reviews

It helps to see what learners say after taking the courses, especially about clarity, pacing, and how useful the practice feels. And since 365 Data Science is the #1 most reviewed and highest-rated online AI & data learning platform on Trustpilot, there’s plenty of real feedback (and real outcomes) to learn from.

Here are a few quick success stories from learners who used 365 to level up and move into data-driven roles:

FAQs

Are 365 Data Science courses free?
You can start on the Free Plan and explore selected course content and features. If you want full access (including exams and certificates), you’ll need a paid plan.

 

Is 365 Data Science accredited?
Yes. 365 Data Science is accredited/recognized by ADaSci, ELQN, Institute of Analytics (IoA), EAHEA, GAOTE, and NASBA (CPE credits available for eligible learning).

 

What is the 365 Data Science program about?
It’s a 100% online learning platform for AI and data skills, with 123+ courses, 30+ projects, Career Tracks, interactive exercises, exams, and certificates—built to help you learn step by step and track real progress.

 

Is 365 Data Science better than DataCamp?
It depends on how you like to learn. If you want structured Career Tracks, more project-style practice, and exam-based certificates backed by accreditation, 365 is a strong fit. If you prefer a different style of practice or interface, another platform might suit you better.

 

Nicolette Son

Nicolette Son

Copywriter

Nicolette is a copywriter and editor at 365 Data Science. With a BBA and a master’s degree in English Philology—specializing in Linguistics and Translation—she aims to merge creativity and strategic thinking. Nicolette’s passion for teaching helps her tailor her content with students in mind, bridging the gap between knowledge and understanding. She strives to inspire professionals to embrace the power of data science and embark on transformative learning journeys.

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