Intro to Data Analytics Course

Learn the essentials
of data analytics in 1 month
Study flexibly
at a pace of 15-20 hours per week
Deliver your first analysis
guided by your mentor and tutor

Want to know if data analytics is right for you?

Find out with a free 5-day email short course.

Curious about this course?

Contact us to find out if it’s right for you

Career Advisor

“How would you like to get in touch?”

“I’m here to help you learn more about data analysis”

Alana, Senior Career Advisor

Want to know if data analytics is right for you?

Find out with a free 5-day email short course.

Curious about this course?

Contact us to find out if it’s right for you

Career Advisor

“How would you like to get in touch?”

“I’m here to help you learn more about data analysis”

Alana, Senior Career Advisor

COVID-19: While our team of employees, mentors, tutors, and career specialists are working from home in an effort to curb the spread of COVID-19, CareerFoundry is operating as usual. All our programs are 100% online, and we’re offering more flexible study and payment options for the foreseeable future. If you’re interested in taking one of our programs, we’d love to speak to you about how we can support you during this time.

Intro to Data Analytics details

In this course, you will

Discover the entire data analysis process, from mastering the fundamental principles to presenting the results of your analysis.

Get to know how data can be used to solve business problems with intelligent solutions.

Apply core analytical approaches, such as descriptive, predictive, and diagnostic, as you interpret, visualize, and present your very first data analysis.

Work 1:1 with an expert mentor and tutor, who'll provide you with personalized feedback, and invaluable insights into life as a data analyst.

Join an active community of over 3,000 students, alumni, mentors, and career specialists, and get access to exclusive events and webinars.


Fully online

Study for 15-20 hours per week for one month

Personalized mentorship

Our mentors are rated 4.93/5 from over 4,000 reviews

Outcome oriented

Deliver your first data analysis and get your first certificate in data analytics

Why learn data analytics?

The field of data analytics is huge—and will only get bigger

As the market grows and businesses face a significant skills shortage, data analysts will increasingly benefit from high demand, a rich variety of opportunities, and competitive compensation.

Good data makes businesses better

Data analytics reveals insights that helps businesses to develop a much deeper understanding of their audience, their industry, and their company as a whole.

Boost your career with data analytics skills

Mastering data analytics skills will enable you to stay one step ahead of industry trends and make better business decisions, no matter what sector you work in.

Why choose a CareerFoundry intro course?

Work with your very own course tutor and mentor

You'll enjoy a truly collaborative online learning experience, with tailored written and video feedback on everything you do from experts who work in your new field day in, day out.

Get the perfect balance of theory and practice

From day one, you'll put your newfound knowledge of data analytics into practice as you work towards delivering your data analysis.

Love data? Then become a data analyst, guaranteed

There's a good chance you'll fall in love with data analytics. If you do, we'd love you to stick around for our full career change Data Analytics Program, which is backed up by a job guarantee. Find out more here.

The objectives are clear, the content is well written and informative, the tasks helped me master the concepts, and the mentors provided invaluable feedback. Enrolling at CareerFoundry was the best career decision I've made in a long time.

CareerFoundry Graduate

Meet your new team

Our dual mentorship model pairs you with not one, but two industry experts—your mentor and your course tutor. They're at the top of their game in data analytics and work in tandem to inspire you to exceed your expectations, providing individualized feedback and guidance as you work towards delivering your first data project.

Your mentor

is a senior data analyst dedicated to training the next generation of data analysts, data scientists, and data-minded managers.

Your mentor will be there to give you feedback on your portfolio project.

Your tutor

is a practicing data analyst who knows the course material inside-out.

Your tutor will be giving you timely feedback on all your submissions.

Our mentors and tutors haven’t just made a name for themselves at top companies in the industry—they've helped shape it.

A project-based curriculum that gets you thinking like a data analyst.

Learn the fundamental principles, key skills, and all-important mindset that makes data analytics so valuable.

Created by experienced instructional designers, authored by industry experts, and kept up-to-date by course editors, our curriculum will serve as the foundation of your learning experience.

Data Analytics in Practice

Learn what data analysts do, what tools they use to process data, and how they apply their skills in different industries. Prepare to kick off your own analysis by getting familiar with the dataset you’ll be working with in your course project.

Introduction to Excel

Get hands-on with Excel, one of the primary tools used by data analysts to quickly access and generate key insights from data. Learn how to sort, filter, format, organize, and create useful visualizations from a dataset.

Understanding Your Dataset

Analyze and describe your dataset—including where it came from, how large it is, and what’s missing—in order to identify sources of bias and better understand how it relates to the problem at hand.

Cleaning Your Data

Identify sources of error in your data, and learn how to clean your dataset to minimze potential issues.

Organizing Your Data

Aggregate, filter, sort, and modify your dataset—and use tools like pivot tables to generate new insights about groups of records, such as trends over a time period.

Introduction to Analytical Methods

Compare different approaches to data analysis—such as descriptive, predictive, and diagnostic—understanding when to apply each one to tackle different types of business problems.

Conducting a Descriptive Analysis

Apply statistical methods to your dataset using Excel to complete a thorough descriptive analysis.

Developing Insights

Form hypotheses around how a dataset will look, and generate useful insights about the data by comparing the behaviour of the data to your first estimates.

Visualizing Data Insights

Build helpful visualizations of your data to present your findings to stakeholders. Based on the type of data you are working with, choose the most effective visualization for the problem you’re trying to solve.

Storytelling with Data

Present the results of your analysis to others, providing a compelling narrative around old and new assumptions, and insights into a business problem.

Your first step to becoming a data analyst

If you fall (even more deeply) in love with data analytics during this course, you can move seamlessly onto our career-change Data Analytics Program.

Portfolio Projects

Review a selection of some of the work our students have completed in recent months.


Intro to Data Analytics

Receive a tuition credit of if you decide to upgrade to the complete, career-change Data Analytics Program.
  • Learn through our comprehensive, project-based curriculum
  • Receive regular, personalized feedback from your course tutor
  • Deliver your first data analysis, which will form the basis of your professional portfolio
  • Get an in-depth review of your final project from your mentor on a video call
  • Gain exclusive access to our global community—plus events and webinars
  • Upgrade to the full Data Analytics Program and become a qualified, job-ready data analyst


1.    Who is the course for?

Our courses have been designed to be easily understood by anyone—complete beginners included! Whether you want to start a career as a data analyst or just want to enhance your data handling skills, this course provides a beginner-friendly starting point.

2.    What will I have by the end of the course?

By the end of Intro to Data Analytics, you will have a solid understanding of data analysis, key skills for the job, including practical knowledge of a common tool used in data analysis, and a project you can add to your professional portfolio.

3.    How long will it take?

Intro to Data Analytics will take one month to complete if you study for 15-20 hours per week. If you need it, we do allow a 1-month extension, including mentor time, at no extra cost. If you wish to complete the course in under one month, you may do so simply by increasing the number of hours you put in.

4.    What do I need to get started?

If you don’t already have Excel, you’ll need to purchase it to take part in the course. Aside from that, all you’ll need to bring to the table is a computer, an Internet connection, and a healthy dose of enthusiasm—we provide the rest!

5.    Is the course content practical?

Yes. The course is based on a practical, project-based learning format. You will learn the essential skills that align with what employers are looking for in a data analyst.

6.    Does my background or age matter?

From dancers to Uber drivers, we have trained people from all walks of life into successful tech professionals. The course requires no previous experience, and there are no age restrictions.

7.    How does the course differ from other online data analysis courses?

While there are many online courses in data analysis, the CareerFoundry course is unique in the support it offers. You'll have a dedicated support network which remains consistent throughout—including a Tutor to review your daily coursework and answer any questions, and a one-to-one Mentor (an expert with over 5 years' industry experience) who'll provide personalised feedback and advice. You'll also have access to our vibrant student community.

8.    Do I get a certificate at the end?

You will receive a certificate when you complete the course to make your new qualifications easily identifiable for future employers.

9.    Is the course 100% online?

Yes, the course is entirely online. You’ll get access to our active student community on Slack and, after the course, you’ll have access to  a global network of other ambitious alumni and mentors to support you.

10.    What does ZFU-approved mean?

The ZFU, or Staatliche Zentralstelle für Fernunterricht, is the state body for distance learning in Germany. In order to offer our Intro to Data Analytics Course publicly, it must undergo a rigorous quality assurance and certification process. On successful completion of this process, the program is assigned a unique approval number (7361520) which can be checked against a public register.


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