Data Analytics Bootcamp

Curriculum // Class Format // FAQ

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Program Overview

Study Data Analytics & transform real data into actionable insights.

We're always iterating in response to the evolving market trends in technology. You'll learn the hottest tools of today, but more imporantly you'll gain a lasting foundation for the tools of tomorrow.

Our instructors are experienced data analytics professionals delivering lessons and projects developed by and for data professionals. Learn from seasoned instructors, supported by dedicated staff who sincerely care about your educational success.

Classes are live-streamed online each day, marrying the flexibility of online learning with the interactivity of classroom instruction. Need a place to study? Co-working space is available for students at any U.S. WeWork location.

From exposure to our ever-growing network of employers to resume and portfolio reviews, our dedicated Student Success Team is here to help you throughout class and into the job search.

What is Data Analytics?

Companies rely on data to help identify challenges, capitalize on opportunities and make timely business decisions that could materially affect their bottom line. Data Analysts are at the core of the decision-making process, weaving complex, raw data and numbers into digestible, visual stories that drive actionable change.

Is Data Analytics for you?

If you love numbers, problem-solving, and are naturally curious, this may be the right fit for you. Data Analysts are the ultimate detectives, diving deep into data to seek out patterns and trends and translate them into a complete picture. Class is suitable for motivated learners who are serious about pursuing a career path in data analytics. No prior analytics or coding experience is required.

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*Borrower must be a U.S. resident and at least 18 years of age. Rates will vary depending on financial standings and credit history.

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Working in Data Analytics

Data analytics continues to be an integral part of modern organizations. Data analytics professionals gather, clean, and translate an organization's data to identify trends from in the past, the present, and even into the future. Throughout this program, you can explore standard data analytics tools and strategies such as Python, structured and unstructured databases, SQL queries, business intelligence, and machine learning. You can apply those skills to real-world scenarios and learn how to effectively monitor and communicate your data findings.

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Potential Career Paths

The demand for data analytics professionals is projected to grow quickly. The median annual salary for management analysts in the U.S. was $93,000 in 2021* with the employment of data science-related fields projected to grow 31% from 2020-2030.** Typical roles or job titles to pursue after graduation may include Business Analyst, Data Analyst, Data Scientist, Business Intelligence Analyst, and Management Analyst. *** (view references)

Learning Experience

You will learn the methodologies, tools, and best practices employed by UX professionals today, applying those skills to real world problems. Our hands-on approach to class helps cement the fundamentals and results in a demonstrable portfolio of full fledged projects you'll enjoy.

High Level Curriculum

At DigitalCrafts, you will learn the most cutting edge tools and strategies for the job market today. More importantly, you'll learn how to stay cutting edge for the job market tomorrow.

Module 1

Data Analysis Fundamentals

  • Overview of Data Analytics
  • Spreadsheet Functions & Formulas
  • Data Visualization
  • Probability and Statistics

To begin, you'll explore foundational data analysis concepts while using a spreadsheet program. You'll summarize several real-world data sets and be introduced to probability & statistics topics required for more advanced analysis. Additionally, you will create several data visualizations and study best practices for choosing the right visual for specific data types.

Module 2

The Basics of Python

  • Programming with Python
  • Intro to Jupyter & Anaconda
  • Using Logical Expressions
  • Working with External Data
  • Writing Custom Functions

Next, you'll explore the fundamentals of programming with Python. Here you will review how to program using functions, variables, conditionals, and loops. You will review how to use different data types and appropriate data structures to help you create simple programs.

Module 3

Data Analysis with Python

  • Using Pandas
  • Working with Large Datasets
  • Quality Assurance
  • Identify Relationships in Dataset

The amount of data you are analyzing is often not manageable for a simple spreadsheet. This section will introduce how you can use Python to analyze, summarize, compare, and visualize data. This module will also cover popular 3rd party libraries specifically designed for data analysis.

Module 4

Using a Database

  • Query data with SQL
  • Logical Filtering
  • Aggregate Data
  • Join Data from Multiple Tables

Next, you'll explore how to work with databases. In this section, you'll review best practices for database design and how to query structured databases using SQL. Additionally, you will be introduced to working with unstructured data.

Module 5

Business Intelligence Development

  • Dashboard Design
  • Data Visualization
  • Data Summary
  • Dataset Filtering
  • Backend Data Architecture

In this section, you will explore how to create data visualizations and dashboards that translate large amounts of data and display essential information in an easy-to-understand format..

Module 6

Classification, Regression, & Unsupervised Learning with Machine Learning

  • Intro to the Numpy and Scikit-learn libraries
  • Machine Learning Best Practices
  • Data Categorization
  • Logistic Regression
  • Decision Trees
  • Prediction of Continuous Value Outcomes
  • Linear Regression
  • Model Output Assessment
  • Machine Learning Models
  • Clustering Algorithms
  • Model Output Assessment

This section will explore how to create code that can decide which group a data point most likely belongs to. You'll work to develop training and test groups to allow the system to learn and make better, stronger, more accurate decisions. You'll also work to understand how to decide which models are appropriate, their strengths and weaknesses, and determine their accuracy level.

You'll explore how to create statistical models which predict relationships between data parameters. You'll create training and test groups to allow the system to learn and make better, stronger, and more accurate models. You'll also review how to decide which methods are appropriate, the strengths and weaknesses of their models, and determine their accuracy level.

Lastly, you will review how to make patterns by allowing your code to mimic data sets and then correct itself based on these patterns' errors.

Live Online Classes

16-Weeks | Full-Time

Times are listed in Eastern Time Zone, but students join from all over. The below schedule is meant to demonstrate a typical day, but every class is different.

10:00am–1:00pm

Weekdays | Lectures & Assignments

Students often start the day with a combination of live lectures streamed via Zoom and hands-on assignments designed to enforce data analytics topics covered.


2:00pm–5:00pm

Weekdays | Projects & Labs

DigitalCrafts takes a hands-on approach, and the Data Analytics program applies real-world examples and issues to simulate what you may encounter in a typical work environment. During labs, you can expect to utilize program languages, systems, and models used by data analytics professionals and review common scenarios.

Accelerated Learning and Continued Development

Workload

Maximum Effort Required

This program will challenge you, and after a full day of class our students are often charged with completing additional assignments designed to push their abilities as far as possible given such a condensed amount of time. This commitment of time and energy requires grit and determination, but you can do it if you believe in yourself and put in the work.

Elective Workshops

Exclusive Benefit for Students & Alumni

A career in software requires a lifetime commitment to learning new skills and technologies. You don't want to look up one day and find yourself a Blackberry developer in the age of the iPhone! We hold exclusive periodic elective workshops for students and alumni to help provide continuing education opportunities in myriad complementary topics. Every technology professional has heard the interview question, "Do you have experience with _?" This is our way of filling in the blank.

Additional Course Information

Base tuition for the full-time bootcamp is $14,950. A part-time format is expected in Q1 2023. A refundable $99 deposit is required to enroll.

The remaining tuition may be paid in full before class starts, over 4 installments while in class, or financed over 3 to 15 years through one of our lending partners (though you're welcome to use your own if you'd prefer).

Discounts: If you enroll within 5 business days of receiving your letter of acceptance, we will take $250 off tuition. If you enroll before the early enrollment deadline listed on our schedule, you'll receive an additional $250 off tuition. Note: Scholarship recipients are not eligble for any additional savings.

More on tuition, financing, and scholarships.

No, though prior experience is welcome, it is not required to apply to DigitalCrafts. Incoming students are assigned the applicable 'Intro Course' to help ensure everyone has some exposure before class starts.

DigitalCrafts Bootcamps are a truley immersive Monday through Friday experience. If dedicating 40+ hours per week isn't in the cards, consider a part-time format, which is designed with working professionals in mind.

Minimum:
Windows: Must be running Windows 8 or later in a 64-bit environment.
Reliable broadband internet for streaming class.
Camera and microphone (laptop built-in should be fine).
Recommended:
16+ GB RAM Memory, 512 GB SSD (with 80+ GB available).

Important: Apple Mac computers may not work for this class. We're working to find a suitable solution, but Windows only until further notice. Mac's are not (yet) supported by several important tools required for completion. Chromebooks and iPads are also not sufficient.

The Data Analytics Bootcamp explores standard data analytics tools, strategies, and techniques that would find key data trends and insights to make informed decisions. Data Analysts can be found working in a variety of fields ranging from political campaign management and financing to software development and medicine.

  • The gathering, cleaning, and processing of data using SQL queries
  • Producing reports or dashboards in platforms like Power BI
  • Assisting in the set up of a company’s data infrastructure
  • And more

All students receive the same level of career support, which includes resume guidance, career lectures, and exposure to our ever-growing list of employer partners. In addition, our dedicated Student Services Team is available to provide detailed feedback on everything from cover letters to emails to employers. We can't nail the interview for you, but we'll do what we can to help along the way.

References:
*Bureau of Labor Statistics, U.S. Department of Labor, Occupational Outlook Handbook, Management Analysts (found here, visited June 13, 2022).
**Bureau of Labor Statistics, U.S. Department of Labor, Employment Projections - Fastest growing occupations, Data scientists and mathematical science occupations, all others (found here, visited June 13, 2022).
***DigitalCrafts cannot guarantee employment, salary, or career advancement. The list of career paths related to this program is based on a subset from the Bureau of Labor Statistics CIP to SOC Crosswalk. Some career paths listed above may require further education or job experience.