Become a Data Analyst.

Learn how to clean, analyze, and tell engaging stories with Excel, SQL, and Tableau.


Program Overview


Data Exploration

Familiarize yourself with datasets and ask questions that help you understand your data better.


Data Extraction & Cleaning

Extract data using custom SQL commands and clean your retrieved data using common data cleaning techniques.


Data Analysis

Use descriptive statistics and Microsoft Excel to manipulate your data and find valuable insights that will help your company.


Data Visualization & Communication

Tell a compelling story with your finding through Tableau’s visual dashboards, charts, and reports.

Program Structure

Remote Learning

Learn Anytime From Anywhere

Complete lectures, coding labs, guided-projects, and open ended projects at your own pace. Benefits of the data analysis program includes:

  • Setting your own schedule so you can be productive at your own pace

  • Gaining insight from the advice of industry professionals with 1-on-1 mentor meetings

  • Boosting your career with our robust career support

  • Participating in enlightening discussions with other students and alumni


One-on-One Mentorship Support

K2 Labs provides a 1-on-1 learning experience, where others have a 1:10 teacher-student ratio, at best. We find mentors that will suit your exact needs. Our mentors are practicing industry professionals that are in leadership roles. The will work with you to:

  • Build real data analytics projects

  • Strengthening your analytics and communication skills

  • Provide feedback on completed assignments

  • Conduct mock interviews provide guidance throughout your recruiting process

Career Prospects

A Portfolio That Lands You Jobs

We have collaborated with Senior Data Analysts from leading analytics companies to develop our curriculum. The projects you build will help you create an amazing portfolio to showcase your newfound skills and experience.

  • Complete 2 full resume worthy projects

  • Develop a professional resume that helps you stand out from the competition

  • Add the latest data mining technologies to your list of skills

  • Build a Linkedin that land you interviews

Career Prospects

Continuous Career Support

You will have lifetime access to our alumni network for continued support in all your future endeavors. To ensure you’re hired, you will have access to:

  • Proprietary database of interview questions and workshops

  • Conduct mock interviews so you can tackle the real ones with confidence

  • Internal job board full of entry level data analyst positions

  • All K2 alumni and mentor contacts that will strengthen your network

Meet Our Team

Safan Abdul

Data Analytics Consultant

Nicholas Roth

Data Analysis Curriculum Advisor

Shafiq Marediya

Program Manager

What Will I Learn?

The Data Analytics foundations program will give you the technical background needed to make informed decisions to help businesses in any industry. Learn advanced data mining techniques using statistics and tools like Microsoft Excel, SQL, and Tableau immersing yourself in the world of data analytics and visualization.


Exploratory Data Analysis

Learn how to navigate through the vast sea of Excel functions as a data analyst to efficiently clean and analyze your datasets.


Data Warehousing

Efficiently store, retrieve, and manipulate data through advanced SQL queries.


Statistical Analysis

Apply the fundamental concepts of statistics to find valuable insight using the descriptive analysis method.


Best Practices & Tools

Microsoft Excel, SQL, Tableau - Learn all the latest tools that data analyst are using to increase the productivity of their work.



Learn how to tell a story with your data through beautiful dashboards and reports.


Career Prep

Advance your careers with our career advisors with a collection of resources that are designed to prepare you for the recruiting process.

Pick a Track



40 hours

per week

8 weeks

26 mentor sessions
Apply Now



20 hours

per week

16 weeks

26 mentor sessions
Apply Now



12 hours

per week

26 weeks

26 mentor sessions
Apply Now

Price: $1,600

Can I pay over time?

Yes--you can pay for the Data Analysis Bootcamp in 3 installments. If you opt for the payment plan, your total course price will be $2,000.

What if I don't like it?

If you’re unsatisfied with the program within the first 2 weeks, you can cancel for a full refund. If you decide to cancel later on, you'll recieve a prorated refund.

  • Collaborate with a community of peers
  • Learn how to make informed business decisions
  • Create dashboards that tell compelling stories
  • Design data analytics projects that impress

Now Accepting Applications


Got Questions?


How is K2's curriculum created?

K2's curriculum is designed and developed in-house by experienced data analyst. Our curriculum development team constantly acquires feedback from students, mentors, and employers to improve our curriculum. This process ensures that you’re always learning the most up-to-date and relevant skills.

How deep does your program go? How much of K2 is in-house curriculum vs. outside resources?

We have developed our own project-based, hand-crafted curriculum to make sure you receive the results you need to be successful. Our program is divided into two sections: curriculum and projects.

The curriculum is designed to teach you the complete data mining process using real world examples. Within each project, you will apply the data mining techniques in order to build your own work. We offer a combination of comprehensive videos, text-based curriculum, supplemental resources, and structured assignments.

Just as it’s critical to learn how to ride a bike without training wheels, it’s important to learn how to work independently as a data analyst. As you move from the curriculum to the projects, you will begin independently solving open-ended problems as an experienced data analyst would. You will still have opportunities to solve problems through collaborations with an experienced data analyst along the way.

On occasion we reference external books, video tutorials or courses for further learning.

What are the data analysis projects?

You will work on two projects that simulate real-world projects data analyst deal with. The first project involves independently solving a business question of your choice. During the second project, you will work with your current company or a startup company within our network to tackle an outstanding business problem.

Can I customize the curriculum in any way?

Absolutely! You will work with your designated mentor to choose modules and projects that are tailored to your abilities and areas of focus.


What do you look for in students?

We look for students who have taken the initiative to learn on their own, are enthusiastic about data analysis, and are committed to excellence. If this sounds like you, then you’ve found the right program!

We look for students who are empowered learners with the following qualities:

  • Passion for Data. You have shown your passion by beginning to learn on your own. You are truly determined to become a data analyst whether you get into K2 or not.
  • Growth Mindset. No matter what you have worked on so far, you aimed for excellence. You are targeting growth for yourself and others.
How does mentoring work?

At K2, we teach with a flipped classroom model: you learn, complete assignments, and resolve issues on your own. If you have any questions, you can also message a Teaching Assistant through our online platform.

During your weekly video-call sessions, you'll learn about more complex concepts. Your mentor will work with you to develop the best practices of data science, and help you through any complicated problems. Feel free to seek professional advice or discuss your progress with your mentor. Your mentor will be there to encourage and help you every step of the way.

Above all, your mentor is committed to your success. Trust your mentor, and you’ll go far!

How do I choose my mentor?

Right now, your program manager will match you up with a mentor based on your location, background and future goals. Eventually, students will be able to choose their mentors.

If you have a specific goal for K2 that you would like to discuss, please contact a Program Manager to find a mentor best suited to your needs.

What does the online community consist of?

We believe there are incredible benefits to learning within a community of your peers. To support this, we offer a vibrant online community.

  1. Join our exclusive Slack channel, where we have developed a thriving community. Exchange questions, comments, feedback, and advice with fellow students.
  2. In each unit, you will have the opportunity to examine the work of your peers as well as receive feedback from your peers on your own projects.
  3. Weekly Office Hours where you can meet other students, talk about that week's assignments, practice your presentation skills, and ask questions about the curriculum over video chat.

Hiring & Job Prep

What kind of jobs will I be ready for when I'm done?

Our program trains you to be industry ready for your first position as a data analyst, capable of conducting descriptive analysis in multiple industries.

How does the job prep work?

The job prep curriculum will prepare you for the technical recruiting process. We walk you through how to navigate the world of descriptive analytics, how to prepare a great data analytics portfolio, how to excel at technical interviews, and how to communicate the results of a data analytics project. The rest of our curriculum prepares you to excel at building end-to-end models.

The program curriculum includes dedicated material to review with an experienced mentor in preparation for the recruiting process to become a data analyst. Students create polished portfolios of projects that demonstrate job-ready analytical skills to prospective employers. Mentors carefully review resumes and cover letters for their students, lead mock phone screens, and conduct practice interviews so students can handle real technical interviews with confidence.

Students receive dedicated support from their mentor, including resume and portfolio critique, and a review of LinkedIn and GitHub profiles to ensure the best possible presentation to prospective employers. We will help you define criteria to guide your job search, and implement a process and cadence for managing the search.

How does job prep work for international students?

The job prep works the same for international students, but our industry contacts primarily consists of companies in major U.S. metropolitan areas. Many of the jobs listed on our internal job board, as well as exclusive industry contacts, will be based in the U.S.

Timing & Policies

How do the tracks work?

You'll opt in to one of our timed "tracks".

Each track signifies how many hours you will need to dedicate each week if you want to finish in a 2, 4 or 6 months.

If you ever fall behind, we'll reach out to make sure you complete the course by the expected dates! If you can't keep up with your chosen track, you can either switch to a less-intensive track, move to a future cohort, or discontinue your participation and receive a pro-rated refund. We want to ensure that you succeed based on your course goals.

How do I know which track is right for me?

Choose a track based on your schedule — are you looking to complete this program as soon as possible, and can you commit to a full-time pace?

Or, can you commit a solid chunk of time outside of your full-time job? In that case, the 20-hour/week track is likely the best choice.

An intensive course like ours is the ideal format to help you quickly learn the skills you need to move forward.

What kind of hardware is required? Do I need to purchase any software or tools?

We strongly recommend all students to have an external monitor serving as a second screen. This is necessary when you are learning data analysis in a distance learning environment.

You will not have to purchase any software, however, we may recommend paid apps or services that can enhance your productivity.

I still have questions...

We’re happy to answer any other questions you might have about K2 Data Science. You can email us here.