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
Mock interviews
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 classes start, complete prework in Excel, SQL, and Tableau so that everyone starts on the same page and can hit the ground running
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
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
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
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
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
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
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
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
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
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
Tuition is discussed in your application call 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 and soft skills not covered in other programs.
After filling out the application link and selecting a time to meet, we’ll have a 45-minute chat to understand where you currently are in your analytics journey and career goals. If the program is the right fit for you, you'll be invited to join the next cohort and we’ll discuss tuition and how to enroll!
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.
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.
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.
After the last week of live sessions, weekly office hours continues long-term so that you have support 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.
Students are suggested to dedicate ~7 hours each week outside of class times to independent and collaborative work.
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.
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.
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