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Level

Seattle, Charlotte, Boston, San Jose, Toronto

Level

Avg Rating:4.0 ( 8 reviews )

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Recent Level Reviews: Rating 4.0

all (8) reviews for Level →

5 Campuses

Seattle

2 Courses
401 Terry Ave N, , WA 98109

Learn data for the workforce, not the classroom, by learning quantitative and qualitative tools that analysts use every day, like statistical analysis, R, SQL, Tableau, and data visualization. Work on real case studies, and complete a 1:1 capstone project with an industry leading employer. Level is offered in two formats: Full-Time, 8-weeks in person, M-Fri Hybrid: 20 weeks part-time, combines online coursework with occasional in-person classes on weekends/evenings.

Course Details

Deposit
Yes
Financing
Level will work with any qualified lender that a student chooses, and admissions officers can direct applicants to preferred lenders.

If you are employed, ask about your company's education reimbursement policy- some companies pay for their employees to take Level part-time. 
Scholarship
Scholarships are available in the form of discounted tuition, and are based off of your application and subsequent phone call with admissions.
Interview
Yes
Minimum Skill Level
Bachelor's degree and some experience with analytics or statistics preferred.
Placement Test
Yes
Jan 30, '17 -Jun 16, '17
7,995

In PersonPart Time10Hours/week

Jan 30, '17 -Mar 24, '17
7,995

In PersonFull Time40Hours/week

Gain entry into the expanding field of cloud computing with an industry-recognized certification that shows you have the expertise to design, deploy, or operate applications and infrastructure on Amazon Web Services. Level AWS: Foundations of Cloud Computing is a curriculum designed by Amazon Web Services (AWS) to help students develop technical expertise in cloud computing and prepare them for the AWS Certified Solutions Architect – Associate certification exam. The 6-week curriculum is taught through instructor-led classes, hands-on labs, online learning and project work at Northeastern University’s campus. Students will learn how to: -Identify the value and benefits of cloud computing and AWS -Understand methods and tools to maintain security and protect data -Navigate the AWS Management Console -Differentiate between AWS storage and database options -Make decisions based on recommended architectural principles and best practices -Create a cloud migration roadmap and plan to make infrastructure scalable -Understand the AWS Certified Solutions Architect – Associate exam structure and questions (Level AWS Students will recieve 50% discount off the certificate exam fee.)

Course Details

Deposit
Yes
Financing
Level will work with any qualified lender that a student chooses, and admissions officers can direct applicants to preferred lenders.

If you are employed, ask about your company's education reimbursement policy- some companies pay for their employees to take Level part-time. 
Scholarship
Scholarships are available in the form of discounted tuition, and are based off of your application and subsequent phone call with admissions.
Interview
Yes
Minimum Skill Level
This class is for anyone with a basic background in Information Technology as a programmer or server administrator.
Placement Test
Yes

Charlotte

2 Courses
101 N Tryon St #1100, , NC 28246

Learn data for the workforce, not the classroom, by learning quantitative and qualitative tools that analysts use every day, like statistical analysis, R, SQL, Tableau, and data visualization. Work on real case studies, and complete a 1:1 capstone project with an industry leading employer. Level is offered in two formats: Full-Time, 8-weeks in person, M-Fri Hybrid: 20 weeks part-time, combines online coursework with occasional in-person classes on weekends/evenings.

Course Details

Deposit
Yes
Financing
Level will work with any qualified lender that a student chooses, and admissions officers can direct applicants to preferred lenders.

If you are employed, ask about your company's education reimbursement policy- some companies pay for their employees to take Level part-time. 
Scholarship
Scholarships are available in the form of discounted tuition, and are based off of your application and subsequent phone call with admissions.
Interview
Yes
Minimum Skill Level
Bachelor's degree and some experience with analytics or statistics preferred.
Placement Test
Yes
Jan 30, '17 -Jun 16, '17
7,995

In PersonPart Time10Hours/week

Jan 30, '17 -Mar 24, '17
7,995

In PersonFull Time40Hours/week

Level Set will prepare you for the increasingly data-driven business world without any prior exposure to analytics. Learn how to think like an analyst, and practice statistical analysis methodologies on real projects and case studies using Excel and SQL. Level Set will give you the technical edge to make better-informed business decisions. . Level Set is offered in a part-time hybrid format, where coursework is done online, ,and supplemented by occasional on-site evening and weekend classes.

Course Details

Deposit
Yes
Financing
Level will work with any qualified lender that a student chooses, and admissions officers can direct applicants to preferred lenders.

If you are employed, ask about your company's education reimbursement policy- some companies pay for their employees to take Level part-time. 
Scholarship
Scholarships are available in the form of discounted tuition, and are based off of your application and subsequent phone call with admissions.
Interview
Yes
Minimum Skill Level
No analytics experience required
Placement Test
Yes

Boston

3 Courses
89 Broad Street, Boston, Massachusetts 02110

Level Set will prepare you for the increasingly data-driven business world without any prior exposure to analytics. Learn how to think like an analyst, and practice statistical analysis methodologies on real projects and case studies using Excel and SQL. Level Set will give you the technical edge to make better-informed business decisions. . Level Set is offered in a part-time hybrid format, where coursework is done online, ,and supplemented by occasional on-site evening and weekend classes.

Course Details

Deposit
Yes
Financing
Level will work with any qualified lender that a student chooses, and admissions officers can direct applicants to preferred lenders.

If you are employed, ask about your company's education reimbursement policy- some companies pay for their employees to take Level part-time. 
Scholarship
Scholarships are available in the form of discounted tuition, and are based off of your application and subsequent phone call with admissions.
Interview
Yes
Minimum Skill Level
No analytics experience required
Placement Test
Yes

Learn data for the workforce, not the classroom, by learning quantitative and qualitative tools that analysts use every day, like statistical analysis, R, SQL, Tableau, and data visualization. Work on real case studies, and complete a 1:1 capstone project with an industry leading employer. Level is offered in two formats: Full-Time, 8-weeks in person, M-Fri Hybrid: 20 weeks part-time, combines online coursework with occasional in-person classes on weekends/evenings.

Course Details

Deposit
Yes
Financing
Level will work with any qualified lender that a student chooses, and admissions officers can direct applicants to preferred lenders.

If you are employed, ask about your company's education reimbursement policy- some companies pay for their employees to take Level part-time. 
Scholarship
Scholarships are available in the form of discounted tuition, and are based off of your application and subsequent phone call with admissions.
Interview
Yes
Minimum Skill Level
Bachelor's degree and some experience with analytics or statistics preferred.
Placement Test
Yes
Jan 30, '17 -Jun 16, '17
7,995

In PersonPart Time10Hours/week

Jan 30, '17 -Mar 24, '17
7,995

In PersonFull Time40Hours/week

Gain entry into the expanding field of cloud computing with an industry-recognized certification that shows you have the expertise to design, deploy, or operate applications and infrastructure on Amazon Web Services. Level AWS: Foundations of Cloud Computing is a curriculum designed by Amazon Web Services (AWS) to help students develop technical expertise in cloud computing and prepare them for the AWS Certified Solutions Architect – Associate certification exam. The 6-week curriculum is taught through instructor-led classes, hands-on labs, online learning and project work at Northeastern University’s campus. Students will learn how to: -Identify the value and benefits of cloud computing and AWS -Understand methods and tools to maintain security and protect data -Navigate the AWS Management Console -Differentiate between AWS storage and database options -Make decisions based on recommended architectural principles and best practices -Create a cloud migration roadmap and plan to make infrastructure scalable -Understand the AWS Certified Solutions Architect – Associate exam structure and questions (Level AWS Students will recieve 50% discount off the certificate exam fee.)

Course Details

Deposit
Yes
Financing
Level will work with any qualified lender that a student chooses, and admissions officers can direct applicants to preferred lenders.

If you are employed, ask about your company's education reimbursement policy- some companies pay for their employees to take Level part-time. 
Scholarship
Scholarships are available in the form of discounted tuition, and are based off of your application and subsequent phone call with admissions.
Interview
Yes
Minimum Skill Level
This class is for anyone with a basic background in Information Technology as a programmer or server administrator.
Placement Test
Yes

San Jose

1 Course
6024 Silver Creek Valley Rd, , CA 95138

Learn data for the workforce, not the classroom, by learning quantitative and qualitative tools that analysts use every day, like statistical analysis, R, SQL, Tableau, and data visualization. Work on real case studies, and complete a 1:1 capstone project with an industry leading employer. Level is offered in two formats: Full-Time, 8-weeks in person, M-Fri Hybrid: 20 weeks part-time, combines online coursework with occasional in-person classes on weekends/evenings.

Course Details

Deposit
Yes
Financing
Level will work with any qualified lender that a student chooses, and admissions officers can direct applicants to preferred lenders.

If you are employed, ask about your company's education reimbursement policy- some companies pay for their employees to take Level part-time. 
Scholarship
Scholarships are available in the form of discounted tuition, and are based off of your application and subsequent phone call with admissions.
Interview
Yes
Minimum Skill Level
Bachelor's degree and some experience with analytics or statistics preferred.
Placement Test
Yes
Jan 30, '17 -Jun 16, '17
7,995

In PersonPart Time10Hours/week

Jan 30, '17 -Mar 24, '17
7,995

In PersonFull Time40Hours/week

Toronto

1 Course

Learn data for the workforce, not the classroom, by learning quantitative and qualitative tools that analysts use every day, like statistical analysis, R, SQL, Tableau, and data visualization. Work on real case studies, and complete a 1:1 capstone project with an industry leading employer. Level is offered in a hybrid 20-week part-time format, which combines online coursework with occasional in-person classes on weekends/evenings.

Course Details

Deposit
Yes
Financing
Level will work with any qualified lender that a student chooses, and admissions officers can direct applicants to preferred lenders.

If you are employed, ask about your company's education reimbursement policy- some companies pay for their employees to take Level part-time. 
Scholarship
Scholarships are available in the form of discounted tuition, and are based off of your application and subsequent phone call with admissions.
Interview
Yes
Minimum Skill Level
Bachelor's degree and some experience with analytics or statistics preferred.
Placement Test
Yes

1 Scholarship

$500 Level Scholarship

Founded in 2015, L​evel is a 2 month intensive data science coding bootcamp ​that was developed by N​ortheastern University New Ventures. The Course Report community is now eligible for a $500 scholarship to Level!

Eligibility

  • ​Offer is only valid for new applicants to Level. Applicants who have already submitted an application cannot claim this scholarship.

Qualifying Courses

  • All courses and campuses in Level

8 reviews sorted by:datemost helpful

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8/3/2016
Ross Marino • Graduate
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7/27/2016
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4/20/2016
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4/20/2016
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3/31/2016
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3/30/2016
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Response From: Nick Ducoff of Level
Title: Founding Director
Thursday, Mar 31 2016

Thank you for sharing your experience and we’re sorry Level didn’t fully meet your expectations. As you know, we are constantly collecting feedback so we can iterate and improve the program. Our instructors are committed to fixing any errors in the slides as well as continuing to improve the overall content. We are in the process of creating a unified version of the content, having run the program in four markets. We are also developing additional “levels” of the program so that we can offer more programmatic flexibility and so that students have more similar capabilities coming into the program. We will also be assigning more rigorous pre-work, and making assessments mandatory to ensure student accountability and the achievement of learning outcomes. We are happy that you had a positive capstone experience, and appreciate your help in improving Level! We hope you stay connected through our chat rooms and other community events.

Our latest on Level

  • Your 2017 #LearnToCode New Year’s Resolution

    Lauren Stewart1/3/2017

    It’s that time again! A time to reflect on the year that is coming to an end, and a time to plan for what the New Year has in store. While it may be easy to beat yourself up about certain unmet goals, one thing is for sure: you made it through another year! And we bet you accomplished more than you think. Maybe you finished your first Codecademy class, made a 30-day Github commit streak, or maybe you even took a bootcamp prep course – so let’s cheers to that! But if learning to code is still at the top of your Resolutions List, then taking the plunge into a coding bootcamp may be the best way to officially cross it off. We’ve compiled a list of stellar schools offering full-time, part-time, and online courses with start dates at the top of the year. Five of these bootcamps even have scholarship money ready to dish out to aspiring coders like you.

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  • August 2016 Coding Bootcamp News Roundup + Podcast

    Imogen Crispe8/31/2016

    Welcome to the August 2016 Course Report monthly coding bootcamp news roundup! Each month, we look at all the happenings from the coding bootcamp world from new bootcamps to big fundraising announcements, to interesting trends. This month the biggest news is the Department of Education's EQUIP pilot program to provide federal financial aid to some bootcamp students. Other trends include job placement outcomes, the gender imbalance in tech, acquisitions and investments, and paying for bootcamp. Read below or listen to our latest Coding Bootcamp News Roundup Podcast!

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  • How I Learned To Stop Worrying And Love Data Analytics

    Kendall Gibson4/18/2016

    If you asked me two months ago what data analysts do, I most definitely would have given you this clownish answer: “They analyze data.” That’s because I tend to act like a know-it-all, especially when asked seemingly simple questions. Then again, I didn’t know very much about data analysis back then.

    Now, after finishing a data analytics bootcamp run by Level at Northeastern University, I can clearly see myself answering that very same question with many more words, a lot of more thought, and much, much more confidence. I should know; I have been asked to do so several times in job interviews.

    So what do data analysts and data scientists do? In short, they provide quantitative support. They are the people that managers, developers, even CEOs go to when they need guidance. They are modern-day priests, and data is their holy scripture, and I will say that my bootcamp experience was successful in ordaining me.

    Any department, from any organization, can benefit tremendously from consulting a data analyst or scientist. Given reliable data and enough time to work, they can come up with all kinds of valuable insights regarding anything, from identifying key-markers for potential sales growth, to pinpointing the exact temperature to set a thermostat. With data analytics skills, you can qualify for jobs like business analyst, health data analyst, financial analyst, or director of marketing.

    Making those insights can be difficult, as it turns out, which is probably why Harvard Business Review called data scientist “the sexiest job of the 21st century.” Smart, after all, is the new sexy. But becoming smart simply means learning the right stuff, and figuring out what you are best at. Level taught me that, in the wide world of data analytics, there are many nuanced positions that each require specific skills. I believe that focusing on the skills you are comfortable with and interested in is the best way to find employment, in any field. So without further ado, here are my top tips for how to add data analytics to your skillset.

    4 Tips to learning Data Analytics

    1. The best way to learn data analysis tools is to use them.

    In the morning we had lectures, in the afternoon we had labs. Each Level lab had something to do with the lecture. During labs is when the concepts we learned from the lectures gelled for me the most, personally, which is the case because I was applying them firsthand. Literally. For example, when we started out we were learning simple probability, which was something I thought I had mastered since I took two classes on it in college. But working with experimental results in Excel, R and Tableau made things like Bayes’ Theorem and type I & II errors really make sense to me, in ways they had never before.

    Finding data can seem like an arduous task, but with the power of the Internet it is made simple. There are many free resources for large sets of data, including Data.gov, Kaggle, and Amazon Web Services, but what one guest lecturer told me was that he found that charities usually have large data sets just sitting around, and will usually be happy to let someone take a look at them. I am currently doing volunteer consulting work for a Boston-based charity organization, which has given me hours of valuable practice time, and may also make a difference.

    2. Presenting on Topics Helps Solidify Lessons

    Every other week during the Level course, we were given a project that we were told to give a presentation on. Some were individually based, and some were in groups. This, and other exercises we participated in, helped me in learning soft skills that will definitely come in handy throughout my career. Getting up and speaking in front of people was not a new experience for me, but interpreting an analysis of data to a live audience was.

    One of the projects I worked on was that I looked at web analytics for my own blog, and worked out how consistent my writing schedule was for past years. Explaining the process and interpreting my results made me feel slightly nerdy, for having to tell strangers how many science-fiction short stories I had written, but I loved getting feedback because it gave me confidence, and it helped me refine my public-speaking skills. The number is 49 and still growing, if you must know.

    3. Lecture is great, but field work is necessary

    I thought the classroom part of the bootcamp was ideal for learning all aspects of being a data analyst or data scientist, except for one thing: gathering requirements. Learning what the problem is that you have to solve is an important part of the data analysis process, because each data analysis problem is unique, and it is difficult to develop that skill in a classroom setting. Most of the problems we worked on were textbook examples with foregone conclusions; there was no element of ambiguity about them. That is where the capstone project came in.

    Everyone in the course got paired up with an organization who had a real data problem on their hands, and we were tasked with finding a solution to it, and presenting our results firsthand. The instructors advised us to ask our sponsors lots of questions about their data, and the problem that they needed solved. Doing that proved to be super useful for framing my approach to the project, so I highly recommend it if you are working on a data analysis project yourself.

    For my capstone project, I worked with a large market research organization. Because I signed an NDA, I must keep certain aspects of my project a secret, but I will tell you that it had to do with survey data. I was given raw data that they collected from one of their surveys, and was asked to conduct a preliminary investigation as to what insights could be drawn from it. This gave me a chance to practice manipulating a large data set, and visualizing what trends I could find in it that I thought were insightful. Putting a presentation together, which is something data analysts constantly do, pulls together many skills that you really need feedback in order to work on, so practicing them in the field is crucial.

    4. Learning with Peers is a Must

    Having a motivated group of peers to navigate the curriculum material with was energizing, and felt unique to a bootcamp. The accelerated pace that we were learning at made me feel proud of what I was doing, and I could feel that the others were radiating that same sense of pride. If you choose not to learn data analytics in a classroom setting, I believe that you will be missing out on the inspiration, motivation, and feeling of mutual respect that you would have if you were to go through learning it with a group. Even if they come from just one other person, those things can go a long way, so I suggest making a friend who will learn data analytics with you.

    From the beginning of the course, the Level instructors emphasized that our classmates were a) going to help us in learning the subject material and b) going to be a part of a shared network for a long time after graduation. I loved the feeling of solidarity that Level fostered between me and my classmates, and believe that it made it easier for me to learn the material. Maybe I got lucky, because my cohort at Level was fantastic, but I am sure that any group can find will provide you with at least some moral support to gain strength from.

    What's Next?

    After gaining analytical skills, I feel that I can view business problems from a more objective perspective. I hope that providing quantitative support is a part of my roles moving forward, because I would get to solve problems and communicate my ideas, which are things that I enjoy. I would like to work at a non-profit organization, because I would feel proud having my work make a difference.

    I thoroughly enjoyed my experience with Level, and would emphatically recommend a bootcamp style course to anyone who is looking to learn data analysis skills in a short period of time. The bootcamp Level offers is rigorous, fast-paced, and challenging, but completing it was a life-changing experience for me.

    To learn more, read Level reviews on Course Report or visit the Level website here!

    About The Author

    Kendall gibson headshot

    Kendall is a recent graduate of Level, an intensive, two-month course on data analytics where students learn about data analysis tools, procedures, and techniques. You can read more of Kendall's writing on his blog.

     

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  • Collaboration in Higher Education: Universities + Coding Bootcamps

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    Since the Department of Education announced the EQUIP Initiative in October 2015, we’ve heard a bit of buzz around potential partnerships between universities and alternative education providers (read: coding bootcamps)!

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  • Learn Data Science at These 22 Coding Bootcamps

    Harry Hantel12/9/2016

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