The ultimate accelerator
to a career in analytics.

A 3-month immersive program that takes you on the most effective path to becoming a confident data analyst - through hands-on projects, personal mentorship, and a winning job hunt strategy.

Go from aspiring to standout across every aspect of becoming a data analyst.

These days, getting a job in data isn't just about having technical skills.
It's about combining technical know-how with soft skills, analytical thinking, and domain knowledge to relay valuable insights across teams.

During the class, students reached later-round interviews with these companies:

Within 6 months of the 1st cohort, over 70% of students landed their first data analytics-related role through the portfolio, resume, & skills from the program.

100%

said their skills in SQL, Excel, and Tableau improved or significantly improved

said their portfolio significantly improved, 100% said portfolio improved or significantly improved

82%

said their skills in technical + behavioral interviews  significantly improved

94%

average salary increase for students who landed full-time jobs within 6 months

+32%

First Cohort Results

94%

said they would recommend this program to others

You’ve submitted your resume to a digital black hole of listings with “3458 other applicants” and are unsure how you can stand out in today’s crazy job market 

3

You have fundamental technical skills, but you’re not sure how to apply them to interviews or to day-to-day business questions with stakeholders

2

You’ve done certifications, spent hours on YouTube, and taken online courses - yet still don’t have a clear roadmap on what you actually do (or don't) need to land a data job

1

Do any of these
challenges resonate
with you?

The Analytics Accelerator overcomes these challenges through a unique combination of realistic business projects, direct mentorship, group work, and a good-energy community -

So that you can kickstart a fulfilling career in data
and feel confident on the actual job.

Each Week

2 hr office hours
2 hr coaching + lab
Independent work

Throughout

Hands-on projects
Interview training
Direct mentorship

Structure

100% online
20 students
Part-time

Program Overview

Have lifetime access to the community, class recordings and materials, and new lessons added after your cohort


lifetime
access

Practice interviews in a supportive environment and access a repository of interview questions + standout answers


interview
CONFIDENCE

Accelerate your job hunt with a stellar resume, cover letter, portfolio, interview guidance, and networking strategy


STANDOUT JOB
APPLICATION

Learn to use Excel, SQL, Tableau, and GitHub as a system using industry best practices to impress your future team

INDUSTRY BEST PRACTICES

Craft your unique narrative and get feedback on your work through direct and continuous mentorship with Christine

PERSONALized
Mentorship

Be part of a dynamic group of analysts who motivate each other, collaborate on projects, and are on the same journey as you

Good-Energy Community

Learn step-by-step frameworks to present valuable insights and recommendations across industries

Business Analysis Frameworks

Build two end-to-end standout projects using the real data ecosystem, soft skills, and stakeholder questions from the job

Simulated Work ENVIRONMENT

Yorlei
Analyst at Progyny

Pat
Data Analyst at Haymarket

Formerly in R&D, offer in 2 weeks after program

Formerly in journalism, offer in 1 month after program

Sean
Data Analyst at MMK Marketing

Auggie
Data Analyst at Peloton

Formerly in marketing, offer in 2 months after program

Formerly in customer success, offer in 1 month after program

meet our Graduates

What do graduates have to say?

Yorlei
Financial Analyst at Progyny

Pat
Data Analyst at Haymarket Media

Sean
Data Analyst at MMK Marketing

Auggie
Data Analyst at Peloton

Former lab tech and R&D analyst, landed offer 2 weeks after program

Former journalist and sales manager, received offer 1 month after program

Previously in marketing & engineering, landed offer 2 months after program

Former customer success manager, received offer 4 weeks after program

Course Curriculum

Before Module 1: Prework

Before classes start, complete prework in Excel, SQL, and Tableau so that everyone starts on the same page and can hit the ground running


Module 1: Roadmap | Standout Resumes 

Understand the detailed roadmap of everything you need to know to become a successful analyst and how to stand out to data hiring managers. Learn a strategic approach to the job hunt and deep-dive into creating a stellar resume

Module 2: Data Prep in Excel | Standout Portfolios

Dive into an insights-focused business project in Excel and GitHub and learn how to transform your portfolio from good to great. See the end-to-end lifecycle of an analytics project and use Excel to clean, prepare, and explore a large business-relevant dataset

Module 3: Insights in Excel

Conduct segmentation analysis for key business metrics to build recommendations for marketing and product teams; document these findings using industry best practices. Learn key principles for requirements gathering and communicating with non-technical stakeholders

Module 4: SQL Warm-Up | Standout Cover Letters

Use SQL and BigQuery to answer day-to-day business questions from a sales and finance team. Learn about ETL concepts like data pipelining, data transformation, data architecture, data modeling, and data governance. Apply the framework for crafting a standout narrative in your cover letter

Module 5: Insights in SQL | Technical Interviews

Take your SQL project to the next level with advanced business questions that represent the complexities of the job, and package your queries into insights to be used by finance, sales, and operations teams. Learn the strategy to excel in live coding interviews

Module 6: Advanced SQL | Standout Job Hunt

Add advanced SQL functions to your toolkit and apply them to tricky stakeholder questions. Understand the end-to-end strategy for practicing interviews, networking, differentiating data jobs, and applying to jobs that are right for you

Module 7: Interview Do's + Don'ts | Standout Networking

Dive into a list of questions that cover ~80% of questions asked in interviews and see examples of awesome responses. Learn how to use value-driven networking to catch the eye of recruiters given your unique background

Module 8: Insights In Tableau

Build a design-forward Tableau dashboard that surfaces trends and insights in a structure commonly used by C-level executives while using Tableau best practices for dashboard design and stakeholder interactivity

Module 9: Data Storytelling | Standout Presentations

Learn how to deliver your insights and findings through a clear and compelling presentation structure for interviews and the job, and apply data storytelling frameworks to bring your project to life

Module 10: Succeeding on the Job

Understand the month-by-month trajectory of a data analyst and learn project management frameworks to succeed at work and impress your manager, team members, and stakeholders! 

My journey in data started in 2017 after working for a few years in consulting and insurance. Within the next 5 years, I worked as a data scientist, bootcamp instructor, and eventually became a director of data at Vimeo, where I helped take the company public in 2021.

My love and respect for this career stems not only from its intellectual and creative possibilities, but from the personal growth and professional opportunities that come with it. My goal is to make the same possible to others through
hands-on mentorship, a diverse community, and experience that represents the real job.

Meet your
instructor,
Christine

The Analytics Accelerator was born out of my desire to create a hands-on educational experience and bring more cultural and professional diversity to the data industry, one skilled analyst at a time.

Launching the first cohort

Inspired by the people I met through these workshops, I launched the first 20-person, 8-week cohort in June 2023. Students from London joined live 2-hour classes at 2am each week!

Present

Hosting free workshops

After a large wave of layoffs in the US, I started hosting free online workshops to help others transition into data. In a few weeks, these workshops grew from 7 to over 300 people from around the world


2023

Traveling for creative projects

During this time, I also traveled the world for photography projects, visiting Mexico, Switzerland, Italy, and Paris, exploring life through the lens of an analyst and an artist

2022

Becoming a director in data

After a few years at Vimeo, I became a director and led projects on exec reporting, dashboarding, pipelining, data modeling, and data infrastructure, expanding my love for the creative capabilities of data

2022

Teaching from Europe

During the pandemic, I lived in Lisbon for a few months, taught online classes at General Assembly, and saw first-hand how skill-based education is one of the most direct ways to increase diversity in technical roles

2020

Moving into data analytics

I got my first role in data at Justworks, where I was exposed to the ability to use technical skills to help solve day-to-day business problems and learned to use SQL, Excel, Tableau, and GitHub as an interconnected toolkit

2017

FAQs

How much does the program cost?

Tuition is discussed in the info session after understanding whether the program is the right fit for you. As a benchmark, the program is much more financially accessible than data analytics bootcamps, while teaching you long-term job hunt strategy, business thinking, and soft skills not covered in any other program.

What's involved in the application?

You'll hear back within 2 weeks of your submission. If the program seems like a fit for you, you'll be invited to a small-group info session with Christine to learn more about the program structure, tuition, and results. If the program isn't the right fit for you, you'll receive feedback on what to focus on for a future cohort. Rolling enrollment for qualified applicants opens during the info session - the sooner you apply, the better!

Who is the ideal candidate for this program?

The ideal candidate is already familiar with the fundamentals of Excel and SQL and may have had some experience with a visualization software like Tableau, Power BI, and / or Looker. This includes familiarity and experience with pivot tables and aggregate functions in Excel, and GROUP BY, WHERE, LIKE, HAVING, LIMIT, ORDER BY statements in SQL. It is highly encouraged that students are familiar with SQL CTEs before the program start. Prework will be sent out to ensure students start at a similar technical foundation before the first week.

Students are also selected based on their motivation, communication skills, and desire to learn from and collaborate with a community of other students.

How does this program compare to bootcamps and other courses?

This program is unique in three dimensions: 1) structure, 2) content, and 3) community. 

No other program uses a 360-degree approach with personal mentorship, group coaching, hands-on and collaborative projects, mock interviews, and feedback directly from a hiring manager and data director. 
Most importantly, it focuses on the magic ingredient - analytical soft skills - needed to land a data role in today's competitive job market. Lastly, selective criteria for enrollment means each cohort is a community of motivated, dynamic, and committed students who each contribute to the collective momentum and transformation of the class.

What technical tools will I learn?

You’ll learn SQL, Excel, GitHub, and Tableau. We do not teach Python as it is not a core requirement of many early-career data analyst positions, and the goal of this program is to equip you with the most efficient roadmap for becoming a data analyst today.

What level of support is available after the program ends?

After the last week of live sessions, weekly office hours continues long-term so that you have mentorship throughout your job hunt and as you actually start on the job. The class recordings, Slack channel, and class materials are available to students indefinitely. 

How much time should I dedicate outside of class?

Students are suggested to dedicate ~7 hours each week outside of class times for independent and collaborative work.

When are classes held?

Group coaching and collaborative group work (lab) is held from 11am-1pm est on Saturdays, and regular office hours are decided based on the makeup of each cohort, to ensure coverage for everyone's needs. Classes are recorded for you to watch on your own time.

What kind of jobs will I be able to apply to with the skills I learn in this program?

This program prepares you for jobs with the title of Data Analyst, Business Intelligence Analyst, Reporting Analyst, and Insights Analyst. The skills taught are also related to roles titled Finance Analyst, Operations Analyst, Product Analyst, and Business Analyst. 

What is the refund policy?

I'd love to discuss any concerns you may have, as I want to make sure every student is (more than) satisfied, but will not be offering refunds unless there are unforeseen circumstances. Reach out to hello@analyticsaccelerator.io for help!

  • Committed to get a job in data analytics within the next 6 months

  • Excited to learn from and contribute to a collaborative community of other motivated students 
  • Dedicated to putting in the work to succeed - about 4 hrs of class + 7 hrs of independent work each week 
  • Familiar with the fundamentals of Excel, SQL, and Tableau

In order to apply, you should be...

Ready to apply?

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