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Jigsaw Labs

New York City, Online

Jigsaw Labs

Avg Rating:5.0 ( 3 reviews )

Jigsaw Labs offers its coding bootcamp online and in-person at its New York City campus. Students can choose to take the 5-week Coding for Data bootcamp or the 19-week Data Science for Engineers bootcamp. In the Coding for Data bootcamp, students will learn languages, such as Python and SQL, and skills such as scraping and how to build Data Dashboards. Students will also learn API’s. Students who choose the Data Science for Engineers bootcamp will learn the elements of the data pipeline, such as Feature Engineering, Feature Selection, Linear Regression, and Cloud Computing. Students will be exposed to learning models such as Classification, Tree-Based Models, Clustering, and Data Storytelling. Finally, students will learn mathematical models including NLP, XGBoost, Regularization, and Deep Learning. 

Prospective Data Science for Engineers bootcamp students are asked to complete a two-step application process. The first step is a cultural interview conducted over the phone. The second step is a technical interview, which occurs over Zoom. Potential bootcamp students will be paired with an instructor to solve a programming challenge in Python. In this technical interview, students’ technical and problem solving ability is assessed, as well as the students’ ability to apply newly learned information.

Jigsaw Labs offers job placement assistance for students of the Data Science for Engineers bootcamp. Students receive two months of weekly group sessions (offered online or in person), and four months of individual career coaching. Group career coaching classes cover topics such as portfolio-building and presentation. Individual career coaching sessions cover interview skills and application review. 

Recent Jigsaw Labs Reviews: Rating 5.0

all (3) reviews for Jigsaw Labs →

Recent Jigsaw Labs News

    • Coding For Data

      Apply
      Data Science, Git, Data Visualization, Data Structures, SQL, Python
      In PersonPart Time14 Hours/week9 Weeks
      Start Date None scheduled
      Cost$2,200
      Class sizeN/A
      LocationNew York City, Online
      In the Coding for Data bootcamp, students will learn languages such as Python and SQL and skills such as scraping and how to build Data Dashboards. Students will also learn API’s.
      Financing
      DepositN/A
      Getting in
      Minimum Skill LevelBasic understanding of loops, lists, and dictionaries.
      Prep Workhttps://www.jigsawlabs.io/free
      Placement TestYes
      InterviewYes
    • Data Science Career Course

      Apply
      Start Date None scheduled
      Cost$7,000
      Class sizeN/A
      LocationNew York City, Online
      Students will begin with learning the fundamentals of coding in Python and SQL. This includes learning how to work with APIs, scraping, object oriented programming in programming. And how to work with relational databases in SQL. At this initial module, students build a data dashboard, pulling in external data, loading it into SQL, and displaying results with an interactive web-based dashboard. In the next module, students go deeper into data engineering. We students learn how to implement each component of the data pipeline data pipeline, such as Feature Engineering, and Feature Selection, Cloud Computing (Docker and AWS), as well writing tests. Next, we'll learn some of the soft skills required to be a data scientist. This includes problem framing, choosing metrics and prioritizing tasks, experimental design, and data storytelling. Next we fill in the classic machine learning models such as logistic regression, Tree-Based Models, and Clustering and NLP. Finally, students will learn mathematical models including Naive Bayes, XGBoost, Regularization, and Deep Learning.
      Financing
      Deposit$2000
      Refund / GuaranteeStudents who complete the career course requirements only pay if they have received an offer of $70,000 in salary within 9 months of completing the program.
      Getting in
      Minimum Skill LevelN/A
      Placement TestYes
      InterviewYes
    • Randall  User Photo
      Randall • Student • Verified via LinkedIn
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      I was in the  Programming For Data Science class.  The course schedule was part-time (nights and weekends), which was a major reason I signed up. 

        The course is a great place to start if you are interested in data science. If you can't access and manipulate data, you can't be a data scientist. The curriculum is an intro to all the basics in programming one would need to produce and manipulate data sets. This is exactly what I needed to get started in this field. 
        Jeff, the instructor, is engaging during class and generous with his time. He was willing to stay after class for questions and very responsive to email. It's obvious that he cares about his students. 
        The only downside to this class is that the pace is very fast (meaning lots of topics over a short period of time). Overall, I would recommend this class to anyone that wants to get started in data science. You will pick up a lot of great information and meet a great teacher.   

    • student
      - 3/18/2020
      Shannon • Student
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      Jigsaw Labs is a part time data science class. Jeff is a great teacher because he is very patient and good at explaining things. The class is small so there is lots of one on one attention.  The students also work together to reinforce new topics and concepts.
    • kani • Analytics senior • Graduate
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      It is easy for skills to stagnate in an ever-changing face of tech. Before Jigsaw, I had been trying online courses with disappointing results. It is difficult to maintain the drive required to study unassisted. While leaning, I also had to satisfy the demands of full-time work. Jigsaw helped me solve this puzzle. 

      It is a powerful combination hands-first curriculum, a considerate instructor and an engaging cohort that made my experience unique. The focus on industry-oriented knowledge and project-based work is beneficial for professionals with a goal of practical learning. Along with course instruction, the community in our cohort enabled discussions as a part of learning which is essential to progress. The on-demand availability of the instruction was also useful part of understanding. 

      I feel fortunate to have found Jigsaw at the right time. I would recommend anyone keen on investing their skills to give it a shot.