Upskill in Data Analytics!

Our Data Analytics Foundation course is interactive and is adaptive, designed to do at your own pace or in a cohort pace. 

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Learn from top industry female experts

Jovana Urosevic

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

Jovana holds a masters degree in NLP and her passion is to contribute to the development of technology for the different languages she speaks as well as being the “human in the loop”, bridging the gap between human-generated content and machine learning algorithms. 

Jovana joined allWomen as a Data Science/Data Analytics instructor in 2020 and has since helped many of our students to acquire new knowledge of programming, analytics, machine learning and to set them up for a successful career progression within the data space.

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Giovanna Jaramillo

allWomen Alumna
Epistemologist & Data Expert

Ariadna Cuffi

allWomen Alumna
Data Analyst

allWomen has had a profound impact on my personal journey transitioning into tech by giving me a vibrant and exciting space to learn and by exposing me to terrific women leaders working in Data.

I come from a business background which is very generic. Thanks to allWomen I have been able to shift my career.

Who is this for

Data Users

Combine your understanding of data with modern and advanced techniques and level up! 

Upskillers

Evolve alongside the digital transformation happening across the tech sector and add a valuable skill to your resume.

Discoverers

Do you thrive on learning new things? Our adaptive, hands on approach is designed with your motivation in mind. 

📹 10 to 20 videos per course.

🎧 5 podcasts with industry guests.

✍️ 5 to 10 hands-on exercises.

🗒 5 assessments to self evaluation.

🙋‍♀️ 1 weekly live online session guided by a Mentor. 

About this course

In this Data Analytics Foundations course you will  have an opportunity to learn the main concepts and skills needed to analyze statistics, prepare data sets, summarize data, and create data visualizations. The content of the course is highly interactive and includes a mix of video lessons, hands-on exercises and self-assessments. 

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How you will learn with us

Self-paced or 
cohort-paced


It’s up to you whether you follow the 5 week structure or create your own path.

5 weeks 
5 hours / week


We recommend setting a minimum of 5 hours of work per week for 5 weeks. 

Weekly live 
online sessions


These sessions give you the chance to dive deeper with your peers, all guided by an expert mentor. 

Hands on practice

You’ll be putting your new skills into practice in the form of exercises, quizzes and an optional final project.

Mentoring

Get feedback and guidance in daily office hours from expert and assistant mentors.
 

Community 

Get access to our global Community of 40K+ and connect with other women.

Questions? We are here to guide you! 

Choosing a course is a big decision and can be overwhelming, but we’re here to help. Book a session with a member of our team. Let’s chat!

Discover our multi-format content approach!

Our course is designed with your motivation in mind, let’s do this girl!

🤝 Slack workspace with Mentor support & office hours.

👩‍💻 Final project to put all your new skills into practice.

🏅Certificate upon completion.

🌍 Long live access to our global Community.

Course overview

Module 1

Introduction to Data Analytics

Overview of all the topics this course covers and the skills you will develop in order to become a successful data analyst. You will also be introduced to the world of data analytics and learn about what it means to be a data analyst.

Module 2

Data Wrangling with Python

Learn how to perform some fundamental data wrangling tasks with Pandas which can then be leveraged for preprocessing your data for analysis.

Module 3

Exploratory Data Analysis

Introduction  to Exploratory Data Analysis (EDA), a process of investigating datasets, summarizing their main characteristics, and visualizing results. EDA is an important part of any data analysis workflow and every analyst should know it in depth. 

Module 4

Descriptive Statistics

lntroduction to descriptive statistics which are used to provide basic information about variables in a dataset, as well as to determine potential relationships between variables. Topics covered in this unit comprise the basis of any quantitative data analysis.

Module 5

Visualization and Storytelling

Understand how data visualizations can help bring your data to life and you will learn how to use Plotly in Python to create effective visualizations for your presentations.

Download syllabus

You’ll see it immediately after submitting your name and email and you’ll also receive it by email.

Why choosing an AW course

For women, by women: Get taught by professional female tech experts, who will prepare you to master the skills you need to succeed in your tech career.

Our community is diverse, international and - real talk - one of the biggest in the world. Join our +40K women on our mission: to bring diversity to our future technologies by supporting women in the tech sector.

Questions? We are here to guide you! 

Choosing a course is a big decision and can be overwhelming, but we’re here to help. Book a session with a member of our team. Let’s chat!

Discover the AW Community

Become a member of our global online community, get access to cool free tech resources and connect with other women in tech!

Pre-register now with a 20% discount!

This course opens October 17th. Sign up now at the best price.

Pre-register now!

399€

Normal Price

499€

Pre-register now!Book a call!

Pre-register now with a 20% discount!

This course opens October 17th. Sign up now at the best price.

Pre-register now!

399€

Normal Price

499€

Pre-register now!

Pre-register now with a 20% discount!

This course opens October 17th. Sign up now at the best price.

Pre-register now!

399€

Normal Price

499€

Pre-register now!Book a call!Join Community!
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