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Data Analytics Foundations Online Course

Learn how to effectively analyze data in an affordable, flexible online learning environment led by female tech leaders. Gather, visualize and interpret real-world data sets to create actionable insights for your company.

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Original price was: 299,00 €.Current price is: 149,50 €.Add to cart

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Enter the Data Analytics field with our flexible, online course. Through self-paced learning and dedicated development sessions, you’ll have the sought-after Data Analytics skills needed in every business.

Designed to provide a complete online learning experience that fits your busy schedule, our courses combine self-paced modules of high-quality media resources with expert-led content you can access anytime — so you can learn in the way that works best for you.

  • 5 self-paced modules with around 30 hours of learning
  • On-demand sessions featuring female industry experts
  • Personalized mentor support with feedback on your progress
  • Real-world final project for your portfolio
  • A multi-content approach – videos, podcasts, and more
  • Lifetime access to our 30k+ community

You’ll end this course with a solid understanding of Data Analytics. Through the use of frameworks used by Analysts in real life, you’ll learn how to wrangle data with Python, use Exploratory Data Analysis, and how to effectively visualize and interpret your results.

Whether you’re looking to get into the Data Analytics field or level up your existing Aata Analysis experience, the online course is useful to a wide range of professionals, offering you the essentials at an affordable price. Our online course students are usually:

  • Discoverers: Do you thrive on learning new things? Our adaptive, hands-on approach is designed with your motivation in mind. This course is perfect for you if you’re driven and passionate about the data field and want to take a step into the tech sector.
  • Upskillers: Those who are established in their professional careers and want to take it to the next level by adding Data Analytics skills to their resume
  • Data users: Women who want to take one step further and combine their data knowledge with modern and advanced techniques so they’re able to analyze much larger data sets and be more efficient and productive in the Data Analysis field. After all, Data Analysis fits almost every field!
  • 30h of independent learning
  • Progress in a women-first learning environment
  • Learn on your own schedule
  • Mentoring and dedicated support

Course structure

Before we officially start the modules, you’ll learn the basics of Python programming language. This pre-course is composed of 3 modules and is non-compulsory, so you can skip it if you already know the basics of Python.

In this module, you'll have an overview of all the topics we’ll be covering throughout the course, and the skills you will develop to become a successful Data Analyst. Get ready to be introduced to the world of Data Analytics, and learn what it really means to be successful in the role.

During this module, you’ll learn to perform some fundamental data-wrangling tasks with tools like Pandas. You’ll also discover how to prepare your data for analysis and how to run basic tests.

During this part of the course, you’ll learn about Exploratory Data Analysis (EDA) and how to apply it to real-world examples using the Pandas library. You’ll also learn about Descriptive Statistics and Visualization units and how to independently implement EDA to any dataset.

You’ll be introduced to Descriptive Statistics, used to provide information about variables and determine potential relationships between them. You’ll learn to describe data from various dimensions, and how to explore univariate and bivariate analysis to implement it.

In this module, you’ll understand the importance of data visualizations and how to bring your data to life. You’ll learn how to use Plotly in Python, and finally, most important of all: you’ll learn how to communicate your insights through Data Storytelling.

I completed the Data Analytics course and gained hands-on experience using data to solve real business problems — from analyzing datasets to identifying meaningful correlations and translating them into actionable insights. The lessons are practical and well-structured, starting with Python and progressing into real data handling scenarios.

The online, self-paced format made it easy to balance with my schedule, and having access to a community of professionals meant I always felt supported when I got stuck. I highly recommend it to anyone looking to upskill or transition into data.

Laurianne Sylvestre

Strategy Consultant

I first came to AllWomen with a humble background in Data Analytics and then got graduated with 500% satisfaction and upskills. The women's community gives me a place to express and improve myself in both skills and knowledge. I would love to recommend this to all girls/women/moms out there who are looking for a supportive community to study and grow.

Khanh Bui

This course has increased my interest in the Data Analytics field. I liked the course structure. There are 6 chapters and for each of them, you can find some theoretical information (in video or pdf format), practical exercises, and a review test. Also, you can see your progress during the course. The instructors were fantastic and available to answer any of my questions in the live session and on the Slack channel. This course gave me the confidence to do more advanced work in the subject. Thank you, AllWomen Team!

Rodica Jigan

Marketing Consultant

I liked the course's structure, which provided a comprehensive overview of the data analytics concept. The course content is in such a way that anyone including someone without prior exposure to programming to easily learn it. I appreciated the balance between the theory and the practical application. The instructors and mentors were amazing. They explained complex topics in an understandable manner and were always available and ready to help in any way possible. The project at the end of the course was the highlight since it allowed me to apply what I learned in a practical setting.

Ujunwa Ekweogu

Office Specialist

Our alumna work at

Learn from and connect with top Data experts!

With our Data Analytics course, access flexible training designed to fit your schedule. Build your skills through self-paced modules, explore expert-led sessions available on demand, and gain practical guidance to support your learning journey. Your course includes:

Move through the course independently with clear guidance, practical exercises, and high-quality resources designed to help you build skills step by step — whenever it works best for you.

Explore a curated collection of sessions led by industry professionals, including career insights, real-world case studies, and a course introduction to help you navigate the learning experience. Access them anytime and revisit them whenever you need.

Access personalized support from expert mentors to deepen your understanding of the course content. Whether you need feedback, clarification, or guidance, mentors are available to help you progress with confidence and stay on track with your learning goals.

Get a certificate to show companies what you can do

Receive a certification authenticated by blockchain in our Data Analytics course when you complete the learning! We’re a globally recognized, all-women tech academy, so you can add this certification to your resume and wow your future employers.

Get to know your industry-leading instructors!

​​Learn from our female experts who have a proven track record of success in the field and are committed to empowering other women in tech.

Jovana is a Computational Linguist. She uses her natural language processing (NLP), data analysis, and general linguistic expertise to help improve and optimize language understanding of AI products.

Jovana Urošević

Data Scientist at LinkedIn

Reyhaneh is a Data Scientist and Natural Language Processing Researcher. Skilled in NLP, Data Science, Machine Learning, Deep Learning, and Artificial Intelligence (AI), she is a strong engineering professional with a Doctor of Philosophy - Ph.D.

Reyhaneh Hashempour

Data Scientist at BT

More than just a course, we offer a complete online learning experience

Access to self-paced learning

Gain immediate access to the content
Unlock content as you go
Approx. 30h of learning​

Expert-led learning

Insights from industry professionals
On-demand sessions you can watch anytime
Connection through Slack​

Real-world projects

Practical assignments
Solve a real-world dataset problem
Certification upon completion
​

Course support

Dedicated course mentors
Individual feedback
Community Slack Channel
​

Multi-format approach

Learn with videos and podcasts
Extra quizzes and practical exercises
Additional resources available​

Strong community

Lifetime access to 30k community
Diverse, international women in tech
One of the biggest in the world ​

Showcase your new data skills!

At the end of the 5th module, you’ll be tasked with a final task analyzing a real-world dataset problem by applying all your newly acquired data skills. During this, you’ll be able to apply all the frameworks and processes you’ve learned in the course to this point and it is great practice for any Data Analytics job position.

See projects from our graduates

Data Analytics Foundations

Original price was: 299,00 €.Current price is: 149,50 €.

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Questions we get asked a lot

No prior tech experience is required to get started.

You have 12 months of access to your course from the moment you buy it, plenty of room to go at your own pace.

Every course comes with a 14-day money-back guarantee, and you can also spread the cost with Klarna instalments.

You get a verified, authenticated digital certificate if you finish the course within two months, ready to add straight to LinkedIn.

Every course comes with access to an active Slack community, so you can ask questions, get unstuck, and connect with mentors, instructors, and fellow students.

See all FAQs

Download the syllabus now!

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