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ABOUT THE PROGRAM

Data Science for All / Women is a unique fellowship program that helps female students and professionals develop into data-driven leaders of tomorrow.

The program is designed both for early-career practitioners who aspire to transition from academia to industry, as well as for mid-career leaders who aspire to confidently lead teams that use data and analytics.

The program includes seven weeks of free world-class technical training, professional development workshops, and mentorship from senior industry leaders.

WHY APPLY TO DS4A / WOMEN?

Build Data and Leadership Skills

BUILD DATA AND LEADERSHIP SKILLS


DS4A Fellows learn by doing. The training includes real-world cases of data science applications in business. Cases are designed both for practitioners who are experienced coders, and for mid-career leaders who are new to data and analytics.

Create Impactful Projects

CREATE IMPACTFUL PROJECTS


Fellows collaborate on team projects that use data science to create social and business impact. Teams include a mixture of mid-career leaders and early-career practitioners who have a complimentary mix of data analysis and business experience.

DS4A / Women Professional Mentors

PROFESSIONAL MENTORS


Each DS4A Fellows is matched with a professional mentor from a partner organization -- someone with insight into how to grow professionally, to help you achieve your unique goals. Mentors advise Fellows on how to be effective in organizations and in their careers, and provide guidance on the Fellows’ capstone project presentations.

DS4A / Women Job Opportunities

JOB OPPORTUNITIES


The Data Science for All program is an unparalleled platform from which to launch or supercharge your career. In addition to skills training, you will receive career coaching and job opportunities from our program partners, which are some of the top employers in the world.

Be Part of the DS4A Community

BE PART OF THE DS4A COMMUNITY


Data Science for All is the largest, most diverse group of data and analytics professionals in the world.  It brings together people from every background and across all stages of their career.  DS4A graduates continue to be part of the inclusive and supportive community.

2021 EMPLOYER PARTNERS


2020 EMPLOYER PARTNERS


EMPOWERING THE DATA-DRIVEN LEADERS OF TOMORROW


OUR MISSION

Data literacy is increasingly becoming a requirement for all business leaders. Every industry is becoming more data-driven, and as they do, effective leaders must become data literate.

Today, data literacy has a major inclusion problem. Women are 46% of the workforce, but hold only 26% of data and analytics jobs. Worse, representation steadily declines for more senior roles, and among technology firms, women represent just 17% of the C-Suite.

This imbalance, if left uncorrected, will have severe detriments into the future. It will deny key leadership roles to women and further deepen the unequal representation we see in many fields.


Data Science For All / Women : Practical Data & Analytics Training

PRACTICAL DATA & ANALYTICS TRAINING


2021 PROGRAM SCHEDULE

Training includes four weeks of live online lectures between September- October 2021, all built on real-world cases and delivered in usable Jupyter notebooks. The training includes no-code cases for mid-career leaders, and technical cases for early-career practitioners.

The lectures are led by top professors at universities like Harvard, Columbia, and MIT. Fellows will also be given self-study work following the sessions, and will have opportunities to receive 1-1 coaching throughout the program with Correlation One’s professors and teaching assistants.

The Program will conclude with virtual Career Fairs on October 19-22, and the Grand Finale event on October 29.

APPLICATION PROCESS

Applications are now open for the 2021 DS4A / Women program. The application includes a questionnaire to understand your personal experiences and career goals, a short skills assessment, and a video interview. 

 

Data Science For All / Women : Application Process
Data Science For All / Women : Paths to Entry - Prerequisites

PATHS TO ENTRY


PREREQUISITES

For Practitioners, there will be an entry assessment on core data science skills, such as Python, Statistics, and Modeling. Practitioners will complete technical cases that challenge them to apply their skills to real-world business use cases, to help them become effective practitioners within their organizations.

For Managers, there are no formal prerequisites, aside from a baseline familiarity with data and analytics tools. Managers will complete no-code cases and “AI for Executives” workshops, to help them become effective leaders of data-driven teams.

 

JOB-READINESS


RELEVANT JOBS FOR GRADUATES

As AI changes every industry, the jobs of tomorrow are becoming data-driven -- not just for your analytics org, but for all departments. Whether it is a role in sales, marketing, public policy, healthcare, operations, education, engineering, trading, or product management, data analytics skills provide a competitive advantage.

 

PRACTITIONERS


Data Scientist


Data Analyst


Management Consultant


Product Manager


Quantitative Researcher


Sales Operations Analyst


Business Intelligence Analyst


Marketing Analyst


MANAGERS


VP/ Director of Operations


VP/ Director of Finance


VP/ Director of Product


VP / Director of Human Resources


VP / Director of Marketing


VP / Director of Talent Acquisition


VP / Director of Diversity & Inclusion


VP / Director of Business Development


MEET OUR FELLOWS

"The DS4A / Womens program provides a unique opportunity to work alongside other accomplished women on real-world data science opportunities. The training, mentorship, capstone projects, and most importantly the network, all provided a great foundation for my data science career and helped me secure a new job as a data scientist at Apple."

Daria Yurova Data Scientist, Apple

"In any field, networking is important - DS4A helped me grow personally and professionally. It was a great opportunity to connect and learn from a group of amazing peers and mentors. The skills I gained and connections I made then helped me land a new data science internship at Cisco. I am truly grateful for the opportunity to attend!"

Kessie Zhang Data Scientist, Cisco

"I am an MIT grad, Goldman Sachs alum with a background as a deep diligence investor and operator in Distressed Debt and Private Equity. Over the course of my career, I continually found myself gravitating toward designing and leading efforts to better organize data to facilitate more informed decision making. While I was excited for the program, I could not have anticipated that participating would completely change my world view, the way I look at business value creation and inevitably my entire career trajectory. I am now working as an Operating Partner, helping Private Equity portfolio companies create value through data science oriented digital transformation efforts."

Beth Pollack Operating Partner, K Means Capital

MEET SOME OF OUR INCREDIBLE MENTORS

Data Science For All / Women Mentor: Elaine Wah

Elaine Wah

HEAD OF POLICY RESEARCH, IEX

Elaine is Head of Quantitative Research at IEX, where she conducts research on market structure, trading dynamics, and customer performance. Prior to joining IEX, Elaine had roles at the SEC’s Division of Economic and Risk Analysis, and Microsoft Research New York City. She holds a PhD in Computer Science & Engineering from the University of Michigan, a BS in Electrical Engineering from the University of Illinois at Urbana-Champaign, and an MS in Computer Science from UCLA.

Data Science For All / Women Mentor: Yaqi Yang

Yaqi Yang

DATA SCIENTIST, INSTACART

Yaqi is originally from Shanghai, China. She took her undergraduate at Penn State University and her graduate school at Cornell University where she majored in Operations Research and Information Engineering. She has been a data scientist at Instacart for 2 years.

Data Science For All / Women Mentor: Charlene Wu

Charlene Wu

LEAD STAFF BEHAVIORAL SCIENTIST AND LEADER OF THE MACHINE ASSISTED COGNITION TEAM, TOYOTA RESEARCH INSTITUTE

Charlene Wu is the Lead Staff Behavioral Scientist and leader of the Machine Assisted Cognition team (MAC) at the Toyota Research Institute. MAC conducts cutting-edge research at the intersection of artificial intelligence, behavioral science, and human computer interaction to develop novel technologies that improve our prediction and understanding of human behavior. Previously, Charlene founded and led behavioral science teams at Airbnb and Uber. Charlene holds a Bachelor's degree in economics and psychology from UCLA and a Master's and Ph.D. in psychology from Stanford University. Charlene completed her dissertation in neuroeconomics - she examined how neural activity associated with emotion predicted financial risk-taking behavior both inside and outside of the lab. Charlene was a National Science Foundation Graduate Research Fellow, and her work has been featured in the Huffington Post as "7 Cool New Findings About the Brain.

Data Science For All  Women Mentor Nicole Shimer

Nicole Shimer

SENIOR INVESTMENT PARTNER, INSIGHT PARTNERS

Nicole is on the investment team at Insight Partners where she invests in growth stage technology companies across verticals.

GET THE LATEST NEWS & UPDATES ABOUT DS4A

FREQUENTLY ASKED QUESTIONS

What does DS4A mean?


DS4A is the acronym for Data Science for All. Data literacy is essential for the jobs of the future, and we are dedicated to teaching you the data skills you need to succeed, regardless of your background or ability to pay.

What is Data Science for All / Women?


The DS4A / Women program is designed to meaningfully increase the number of qualified women leaders in data analysis, product management, business intelligence, marketing, people analytics, sales engineering, trading and other data-related technical fields.The training will focus on core data analytics skills required to perform well as leaders in these roles. In addition, our program gives Fellows access to a diverse network of professional mentors, career coaching, job opportunities and a community which will provide ongoing support to help them advance in their career.

When and where is DS4A / Women taking place?


DS4A / Women is taking place in Fall 2021 virtually, from September 18 - October 29. Live training days will be held on Saturdays only via Zoom.  In addition to the live training, you will work with a team on your Capstone Project, meet with your Teaching Assistant and Mentors at various times during the week.  The program is designed for working professionals and students to limit disruption to their existing commitments, but there will be hard work involved over the seven weeks to get the most out of the Program.

Do I have to attend all parts of DS4A?


Yes. DS4A builds upon what you learned at the previous session and will allow you to get to know other participants and work on your group capstone project.

 Is this program free?


Yes, Data Science for All is free for all participants who are accepted into the program. We believe that cost should never be a barrier to learning, so we constructed the program so you don’t have to pay to participate. The program is funded entirely through the generosity of our Employer Partners who want to meet and hire our exceptional fellows.

Is DS4A / Women available internationally?


DS4A / Women is currently only open to individuals who reside or may legally work in the United States, Canada, Western Europe, Latin America and Caribbean countries.  This is due to the time zone for the live classes and group work over the 13 weeks, and also the location of jobs promoted to the class by our Employer Partners.

We are actively exploring opportunities to expand the program to other regions, and encourage you to follow us on LinkedIn to be notified about new courses.

Have more questions?