Booz | Allen | Hamilton x Data Society
Data Science Training Program

Supercharge your data skills as part of this virtual live instruction academy. In addition to classes, students will work with instructors and teaching assistants to deliver a capstone project to improve the way your team works with data.
Before enrolling in a course, carefully review the “who should enroll” section of your preferred Bootcamp and consult your FlexEd options.

Advanced Data Science Bootcamp

Limited Availability
Evolve your data science skills to surface insights and action from your most extensive and complex datasets. This course builds on existing Python skills and explores artificial neural networks, scalable deployments, and how to build deep learning models on Keras.

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Advanced Data Science Bootcamp

Please complete the following steps to register for the Advanced DS Bootcamp. FlexEd options for advanced funding or reimbursement are available. More information can be found in Degreed.

Intermediate Data Science Bootcamp

Build on your foundational Python skills and explore advanced classification techniques and intermediate text mining methods to build the basics of machine learning models.

Advanced Data Science Bootcamp

A natural segue to the Intermediate Bootcamp, this course covers artificial neural networks, building scalable computationally complex models, and deploying deep learning models using Keras.

Extended Data Science Bootcamp

This election is the combined experience of the Intermediate Data Science Bootcamp and the Advanced Data Science Bootcamp.  

Data Visual Design & Storytelling

Learn the basics of data visualization, recognize misleading and inaccurate charts, create compelling graphs, and create narratives that surface insights to drive decisions.

Intermediate Data Science Bootcamp

 Hours of Instruction: 32 Hours
Duration of Bootcamp: 36 Hours
Modality: Virtual, Zoom classroom
Bootcamp Period: 7/6/21 – 9/9/21
Registration Deadline: 7/5/21
Download the syllabus
Download the FlexEd Funding Request
Who should enroll?

Intermediate Data Science Bootcamp

Who is this class for?
  • Students applying for this course should have demonstrable experience using Python to manipulate and visualize data and feel comfortable learning new packages and interpreting new code snippets.
  • Applicants should have a background of building and assessing the performance metrics of basic classification models and are looking to expand on this skillset.
  • This course is for professionals ready to take learning from the classroom to the “real world.” Students in this course understand that working with applied/live datasets can present challenges that don’t exist in a controlled learning environment.
Suggested Hardware Setup

Although it is not a requirement, we strongly urge students to have a two-monitor setup to improve the virtual learning experience.

Certificate Requirements

Booz Allen and Data Society will enforce the following criteria to receive a course completion certificate:

  • Students will be required to attend at minimum 13 of the 16 live sessions. Please note: session recordings will be available for two weeks after the instruction date but will not count towards live-instruction attendance.
  • Capstone Projects will require a passing grade. For additional information/grading rubric criteria, please contact bah@datasociety.com

Intermediate Data Science Bootcamp

Please complete the following steps to register for the Intermediate DS Bootcamp. FlexEd options for advanced funding or reimbursement are available. More information can be found in Degreed.

Text Mining

Learn to prepare data for text mining. Integrate into commercial applications. Extract key summary metrics and words from a corpus of documents.

Advanced Classification

Learn to make your classification model perform better and choose your methods and parameters based on the problem at hand. Logistic Regression as it relates to neural networks. Ensemble methods using Random Forest.

Advanced Data Science Bootcamp

Hours of Instruction: 32 Hours
Duration of Bootcamp: 36 Hours
Modality: Virtual, Zoom classroom
Bootcamp Period: 6/29/21 – 9/2/21
Registration Deadline: 6/18/21
Download the syllabus
Download the FlexEd Funding Request
Who should enroll?

Advanced Data Science Bootcamp

Who is this class for?
  • This class is for professionals with more than a few data science projects under their belt. Students in this course will learn state-of-the-art methods and more about the tools in optimizing big data operations.
  • Students in this course should come in having experienced first-hand the challenges that come with finding data, cleaning it, and putting it to work. Students must have a sound understanding of the “real world” challenges that come along with scoping a project and building a model.
Suggested Hardware Setup

Although it is not a requirement, we strongly urge students to have a two-monitor setup to improve the virtual learning experience.

Certificate Requirements

Booz Allen and Data Society will enforce the following criteria to receive a course completion certificate:

  • Students will be required to attend at minimum 13 of the 16 live sessions. Please note: session recordings will be available for two weeks after the instruction date but will not count towards live-instruction attendance.
  • Capstone Projects will require a passing grade. For additional information/grading rubric criteria, please contact bah@datasociety.com

Advanced Data Science Bootcamp

Please complete the following steps to register for the Advanced DS Bootcamp. FlexEd options for advanced funding or reimbursement are available. More information can be found in Degreed.

Model in Spark

Learn to optimize code and speed up data processing using Spark. Explore best practices and how to use distributed computing.

Deep Learning

Learn the foundations of this complex and exciting topic including CNN & RNN. Build powerful predictive systems using deep learning. Automate the analysis of time-series data.

Extended Data Science Bootcamp

This option combines full participation for the Intermediate and Advanced Bootcamps
Hours of Instruction: 64 Hours
Duration of Bootcamp: 72 Hours
Modality: Virtual, Zoom classroom
Bootcamp Period: 7/6/21 – 11/18/21
Registration Deadline: 6/25/21
Click here to download syllabus
Download the FlexEd Funding Request
Who should enroll?

Intermediate Data Science Bootcamp

Who is this class for?
  • Students applying for this course should have demonstrable experience using Python to manipulate and visualize data and feel comfortable learning new packages and interpreting new code snippets.
  • Applicants should have a background of building and assessing the performance metrics of basic classification models and are looking to expand on this skillset.
  • This course is for professionals ready to take learning from the classroom to the “real world” and into advanced applied scenarios. Students in this course understand that working with applied/live datasets can present challenges that don’t exist in a controlled learning environment.
Suggested Hardware Setup

Although it is not a requirement, we strongly urge students to have a two-monitor setup to improve the virtual learning experience.

Certificate Requirements

Booz Allen and Data Society will enforce the following criteria to receive a course completion certificate:

  • Students will be required to attend at minimum 25 of the 32 live sessions. Please note: session recordings will be available for two weeks after the instruction date but will not count towards live-instruction attendance.
  • Capstone Projects will require a passing grade. For additional information/grading rubric criteria, please contact bah@datasociety.com

Extended Data Science Bootcamp

Please complete the following steps to register for the Extended DS Bootcamp. FlexEd options for advanced funding or reimbursement are available. More information can be found in Degreed.

Data Visual Design & Storytelling

Hours of Instruction: 32 Hours
Duration of Bootcamp: 36 Hours
Modality: Virtual, Zoom classroom
Bootcamp Period: 9/16/21 – 11/23/21
Syllabus & Course Details Coming Soon

Data Visual Design & Storytelling Bootcamp

Please complete the following steps to register for the Data Visual Design & Storytelling Bootcamp (with Excel, PowerBI, and Tableau workshop component). FlexEd options for advanced funding or reimbursement are available. More information can be found in Degreed.

Data Visualization

Learn the basics of data visualization and the appropriate visuals to use based on the data in use. Design compelling visualizations that reduce clutter and communicate your intended message avoiding misleading information.

Principles of Data Storytelling

Learn to identify the story being told by the data, frame it in actionable insight, and format the story in a way that is engaging to your intended audience.

Submit Your FlexEd Application

Apply for FlexEd Funding

Apply for FlexEd advance funding or submit for reimbursement. More info can be found here.

FlexEd Step-by-Step Guide

Use these FlexEd Instructions for a step-by-step guide to your application. The instructions and more key resources can be located in Degreed.

FlexEd Questions?

Visit the FlexEd FAQs here.

Certificate Requirements

Booz Allen and Data Society will enforce the following criteria to receive a course completion certificate:

 

  • Students will be required to attend at minimum 13 of the 16 live sessions. Please note: session recordings will be available for two weeks after the instruction date but will not count towards live-instruction attendance.
  • Capstone Projects will require a passing grade. For additional information/grading rubric criteria, please contact bah@datasociety.com

Questions? Get in Touch

Send us an email:

Booz Allen Hamilton

DataScience5K@bah.com
Or contact your Data Society representative:

Data Society

bah@datasociety.com
For urgent questions:
Call 202-670-6090