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

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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 will give you personalized feedback and insights into life as a data analyst.

Join an active community of over 5000 graduates and 700 instructors, and get access to exclusive data analytics events and webinars.

Fully online

Study for 15–20 hours per week for one month

Personalized mentorship

Our data analytics mentors are rated 4.93/5

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 only getting bigger

As the market grows and businesses face a significant skills shortage, data analysts are in high demand, enjoying 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 feedback from real experts in the field. Shared daily both written and over video, professional feedback will help bring you from a beginner to someone knowledgeable in data analytics.

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.

Curious about data analytics? Take your first step toward becoming a data analyst

After the Intro course, there's a good chance you'll fall in love with data analytics. If you do, stick around for our full career change Data Analytics Program, backed 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. Along the way, they’ll provide individualized feedback and guidance while you work toward delivering your first data analytics 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 thorough, actionable feedback on your portfolio project.

Your tutor

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

Your tutor is there to give 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.

Grouping & Summarizing 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

Experiment with the fundamentals of descriptive analysis and exploratory data analysis (EDA), define measures of central tendency, and distinguish between the spread and shape of data.

Developing Insights

Extract insights from a data analysis, and explain how the analyst uses perspective to develop questions.

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 the course, you can easily move onto our career-changing Data Analytics Program.

Portfolio Projects

Get inspired and explore some of the work students have completed.


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?

This course is designed with the absolute beginner in mind—so whether you’re brand new to data analytics or you’ve dabbled in it and want to formalize your knowledge and skills, this course is a great place to start.

2.    What are the prerequisites and requirements for the course?

There are no prerequisites or prior experience in data or tech required. Regardless of age or background, we’ve built a learning experience to ensure your success. From the catered curriculum and hands-on exercises to one-on-one mentorship and support throughout.

What’s required*:

  • Motivation to transform your career
  • Interest in data analytics
  • Written and spoken English proficiency at a B2 level or higher
  • A computer (macOS, Windows, or Linux) with a webcam, microphone, and an internet connection.
*Note that you will be required to invest some independent study time into familiarizing yourself with the tools you’ll use throughout the course, and learning how to use them. It is estimated that you will need to spend an additional 1-2 hours per week of extracurricular study time becoming comfortable with them.
3.    Which tools will I use and what are the costs?

You’ll be using Microsoft Excel for this course. You’ll be able to take advantage of a one-month free trial, which is sufficient for the duration of the course.

4.    What are the minimum system requirements?

As this varies widely, we recommend checking individual system requirements on the respective website:

5.    Is the course 100% online?

Yes, the course is entirely asynchronous and online—so you can study when and wherever you’d like so long as you can get online and complete the course on time.

But this doesn’t mean the learning experience is isolated or lonely! You’ll have your mentor, tutor, and student advisor there to support you—as well as access to our active student community on Slack.

6.    Is the course content practical and hands-on?

We take a rigorously practical approach to learning. You’ll have the opportunity to apply everything you learn in practical ways. The course builds up to a completed portfolio project that your mentor will review and that will show employers the in-demand skills you learn in the course.

7.    How long does it take to complete the course?

You only need to set aside 15-20 hours per week to complete the course in one month. If you’d like to complete the course more quickly, you can devote up to 30-40 hours per week to complete it in about two weeks.

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

By the end of the course, you’ll have a solid understanding of the field, and hands-on practice in some of the key skills and processes that are vital to the field—as well as a complete, mentor-reviewed project to feature in your professional portfolio!

When you complete the course, you’ll also receive a signed CareerFoundry certificate. This will make it easy for you to share the news on LinkedIn or with potential employers.

9.    What’s included in the course tuition?

This course offers an immersive introduction to the field of data analytics—including expert-authored curriculum, hands-on projects, and personalized mentorship and support from experts in the field.

Find out more here:

  • How it works: From the curriculum to your support team, and beyond—here are the details.
  • Meet our mentors: Get to know who the CareerFoundry mentors are and how the dual-mentorship model works.
  • Graduate outcomes: Here’s some of the work our graduates did in the full program—and where they’re at today.
10.    Are there payment plans available?

Because the intro course only lasts one month, we require the tuition in a one-time, upfront payment. But we do offer a partial tuition credit if you choose to upgrade to the full career change program!

11.    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.

12.    Is the course accredited and what does ZFU-approved mean?

While the course is not university accredited, it does undergo a rigorous quality assurance and certification process with the ZFU (Staatliche Zentralstelle für Fernunterricht)—the state body for distance learning in Germany.

This process ensures that the course meets a high stand for an excellent and effective learning experience.

On successful completion of this certification process, the course is assigned a unique approval number (7361520) which can be checked against a public register.

13.    Am I required to enroll in the full Data Analytics Program after the intro course?

There is no automatic or required enrollment in the Data Analytics Program at the end of this course.

That said, if you fall in love with data analytics during the intro course and you want to pursue a career in the field, the full Data Analytics Program is the natural next step. It includes expert mentorship, full and hands-on immersion in the field, portfolio reviews, individualized career coaching, and a job guarantee. Everything you need to land the data job of your dreams!

If you decide to enroll in the career change program, you’ll receive a partial tuition credit towards the cost of the full program.


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