Next class starts 9 October, 2023

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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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Enter the Data Analytics field with our flexible, online 10-week 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 to fit your busy schedule, our courses combine self-paced modules of high-quality media resources with live sessions from industry-leading experts, so you have the best of both worlds!

  • 5 self-paced modules over 10 weeks (30h total) 
  • Live sessions with industry experts
  • Dedicated support through Slack
  • Final project solving a real-world dataset problem
  • A multi-format 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 self-paced modules
  • Development cohorts
  • Hands-on experience
  • 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.
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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

Our alumna work at

An all-in-one learning and community platform

We use DISCO as our online learning platform to create a personal, accessible, and hands-on learning experience for every single student. It’s mobile-friendly, so you can learn whenever and wherever you are!

Always feel engaged and motivated by our combination of high-quality multimedia resources, including videos, podcasts, and articles that make you want to learn more!

Take part in interactive tasks and quizzes and collaborate with other students for a more fun-filled approach to learning that optimizes your knowledge and skill set.

As an allWomen member, get access to our events, communicate with fellow women through our Slack channel, and discover new opportunities on our Job Board!

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 in 10 weeks! 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 Uroơević

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

Corin is Artificial Intelligence Manager at NTT DATA for Europe & Latam. She has developed a great journey within the Data Science field, where she has worked for more than 10 years.

Corin Navarre

AI Manager at NTT Data

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

Self-paced modules

5 modules in 10 weeks
2 weeks per module
30h of learning ​

Development cohorts

Expert-led live sessions
2 Q&A sessions
Career coaching session​

Real-world projects

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

Dedicated support

1:1 sessions on request
Dedicated course mentors
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

499,00 €

Secure Payment

14-day money-back guarantee

Flexible payment options

Payment methods

100% secure payment: your data is protected by our security system.

Questions we get asked a lot

Our online learning courses are carefully crafted so you get the flexible learning you need, with hands-on, interactive sessions that go the extra mile. All modules are self-paced, so you can do the learning at any time, any place. We start and end the experience with a development cohort of international women from different backgrounds, in order to build on top of your experiences and boost your professional profiles. It’s the best of both worlds – an all-in-one affordable, flexible course!

Yes. The course is specially designed so you can adapt it to your busy routine. With a combination of live sessions and self-paced modules, you can complete it in the way that best fits your needs.

1 ‘meet the cohort’ session with your peers and allWomen mentors.
2 Q&A sessions with your lead instructor 
1 case study with industry expert 
1 career development session with a development coach 
1 wrap-up session with allWomen staff.

Yes, the final project is optional. However, you must complete the course in 10 weeks in order to receive the complete course certificate.

The Data Analytics bootcamp offers 120 hours of remote, live classes, while the DA online course has 30 hours of learning through pre-recorded videos, lectures, exercises and podcasts. The bootcamp comes with a Hiring Fair and multiple professional development sessions, which aren’t included in the online courses. In short, the bootcamp is great for women wanting to change careers or looking for a big deep dive, while not having any relevant previous experience. On the other hand, the online course is perfect for those looking to learn more or explore the field without necessarily making a career switch.

It all depends on which area of tech you would like to go into! Like UI Design, the UX Research, Data Analytics, and Product Management online courses offer the same learning and development features, just focussed on a different tech role. We recommend having a call with our admissions team to talk about your goals and the skills and knowledge you want to learn, and our team can help you decide which course is right for you.

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