Data Science & Machine Learning Bootcamp

  • Launching July 2023 & Enrolling Now!
  • Part-Time 24 Weeks | 30 hours/week
  • Monthly rotating M/W or T/TH Lecture Days
  • Online Attendance
  • Beginner Friendly!
  • $15,995
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Program Overview

The Data Science and Machine Learning program combines data science fundamentals with practical skills to harness technologies in Python, SQL, and Tableau to produce powerful data insights and develop, train, and optimize Machine Learning models.

Students in this program will study intermediate and advanced Machine Learning concepts in Deep Learning, Natural Language Processing (NLP), unsupervised machine learning, and be introduced to Artificial Intelligence toward the end of the program. Students will explore data manipulation using Pandas, apply machine learning concepts with Sci-Kit Learn, and create reporting-quality visuals with Tableau. They will also explore hypothesis testing, ETL (Extract, Transform, Load) processes, and time series analysis. Upon completion of the program, students will have tackled real-world data challenges to train and deploy Data Science models from end-to-end.

Graduates of the Data Science & Machine Learning program will exit with five portfolio projects all based on real-data sets and authentic stakeholder questions featuring CRISP-DM workflow, the Extract, Transform, Load process, time-series analysis in Tableau, the students choice of either Deep Learning or Machine Learning process, and Exploratory Data Analysis of Natural Language Data.

Curriculum Overview

Python Basics Pre-coursework

~40 hours prior to your program’s start date

Before the program, familiarize yourself with the basics of coding in Python with an introduction to writing and understanding code.

What You'll Focus On
  • Exploration of data types, conditionals, and loops
  • Foundational learning for object orientated programming
  • Functions in Python

Data Science Fundamentals

Kicking off the program with Data Science fundamentals, explore introductory coding within Python and its libraries.

What You'll Focus On
  • Python Fundamentals
  • Load, explore, and understand data in Pandas
  • Exploratory Data Analysis (EDA) using Seaborn & matplotlib
  • Create and customize plots for explanatory visualizations

Intro to Machine Learning

Familiarize yourself with Machine Learning by pre-processing raw data sets, writing code for, optimizing, and explaining supervised statistical models in Scikit-Learn and SHAP.

What You'll Focus On
  • Formatting and preprocessing for supervised Machine Learning
  • Train models in regression, classification, and supervised learning
  • Model Optimization
  • Extract, visualize, and interpret model insights

Data Enrichment

Dive into database architecture exploring data normalization, ETL processes, and hypothesis testing. Write and interpret queries within MySQL.

What You'll Focus On
  • Database architecture in SQL
  • Intro to ETL: navigate JSON files, extract from APIs, and convert Panda dataframes
  • Hypothesis testing, interpretation of results, and communicating results to stakeholders in non-technical terms
  • Advance SQL

Data Visualization

Explore visualization’s end-to-end process through writing code, identifying, pre-processing and resampling time series datasets. Then, explore analysis and visualization techniques through powerful visualization tool, Tableau to create and optimize an interactive dashboard.

What You'll Focus On
  • Time Series Analysis in Python
  • Applying Machine Learning to forecast Time Series data for both short and long term
  • Perform analysis and quality visualizations in Tableau
  • Create interactive, responsive dashboards within Tableau

Intermediate Machine Learning

Get introduced to unsupervised Machine Learning models in clustering and dimensionality reduction. Interpret code in feature engineering, write code for CNN models, and summarize concepts within Deep Learning models.

What You'll Focus On
  • Develop, evaluate, and perform explanatory analysis of Clusters
  • Improve visualizing data with high dimensionality and improve supervised learning performance
  • Deep Learning: conceptualize, design, and evaluate common terminology with neural networks
  • Prepare and apply image data using convolutional neural networks (CNNs)

Advance Machine Learning

Wrap up the program focused on Natural Language Processing and Recurrent Neural Networks. Through these studies, students can perform text classification and visualize language usage for stakeholders, delve into data acquisition techniques, and deploy a previously trained model to the cloud.

What You'll Focus On
  • Natural Language Processing Concepts
  • Data Acquisition
  • Model Deployment on the Cloud
  • Application of Recurrent Neural Networks

What a Schedule in Data Science & Machine Learning Program May Look Like

  • MorningHead to Work

  • Mid-MorningSelf-Study over Lunch

  • EveningLecture & Office Hours

  • 24/7 Cohort Access

    Your access to our LEARN Platform and Discord is available 24/7. Access your materials at whatever time you need them.

  • Self Study

    Most students dedicate 30 hours a week to self-study, though you may need more or less depending on your learning style and experience.

  • Lectures

    Live lectures are held twice per week for an hour and a half from 6pm - 7:30pm MST. Lecture days are Monday/Wednesday or Tuesday/Thursday depending on your cohort’s start date.

  • Optional Office Hours

    Need more assistance understanding a concept? Optional office hours are held thirty minutes before and after lecture times between 5:30pm - 6pm & 7:30pm - 8pm MST.

To learn more about the full curriculum click below!

Support When You Need It

Student support begins the day you inquire about pursuing your studies with Coding Dojo. You’ll find support throughout your Admissions journey, along the way through your program, and beyond graduation with Career Services that never expire.

Apply Today
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Meet the Team

  • Purvi Kansara Instructor
  • Neerja Jhingan Instructor

Career Services

The Coding Dojo Career Services team is dedicated to helping students prepare throughout and beyond bootcamp in all aspects of their job search. With weekly check-ins and deliverables throughout your program in addition to personalized support from your Career Services Manager, you can learn all you need to know to be successful in your search post-bootcamp.

Professional Profile & Portfolio Building

On Day 1, you will be introduced to your Career Services Manager who will guide you through creating your digital footprint, exploring skills companies seek, and building out a profile to communicate those points to recruiters.

Milestones:
  • LinkedIn creation and optimization
  • Github profile production
  • Resume development and curation

During the Program

With weekly touchpoints and deliverables, discover tactics and gain hands-on experience for the job search post-bootcamp.

Milestones:
  • Job prospecting and application guidance
  • Real job searches and sample applications
  • Hiring Manager communications

Ending the Program

Exit the program with your new skills, Coding Dojo Certificate of Achievement, and support that doesn’t expire as you begin your search on your new career path.

Milestones:
  • Interview preparations and negotiation strategies
  • Mock interviews
  • Technical job skills tests
  • Target compensation management

Coding Dojo Alumni

You’re a part of the Coding Dojo family for life which means unlimited career service support when you need it.

Milestones:
  • Monthly Tech Talk webinars
  • Access to Career Services when you need them
  • Monthly communications for industry job openings

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Tuition and Financing

Tuition Image

Tuition at Coding Dojo

Data Science & Machine Learning Bootcamp

  • Tuition: $15,995
  • Deposit: $99

The $99 deposit is a part of your overall tuition and not an additional expense. Your deposit will be made as a part of the application process which you’ll place after your application is submitted and the non-technical interview with your Admissions Advisor is complete.

Career Reinvention Scholarship ($1000)

For experienced professionals who are eager and excited to reinvent their careers in the technology industry.

To apply for the Career Reinvention Scholarship, visit here.

Women in Tech Scholarship ($1000)

For the SHEros who require financial assistance to launch their career paths in tech.

To apply for the Women in Tech Scholarship, visit here.

Diversity Scholarship ($1000)

To support and cheer on those within underrepresented groups within the tech industry, including, but not limited to Black, Hispanic, Asian, Indigenous, and LGBTQIA+ communities pursuing technology careers.

To apply for the Diversity Scholarship, visit here.

Military Heroes Scholarship ($1000)

Honoring our military veterans and current service members transitioning into technology. A copy of DD-214, DD-256, or NGB-22 is required with the application.

To apply for the Military Heroes Scholarship, visit here.

Kickstart Scholarship Fund (Award Up to $1500)

The Kickstart Fund is a need-based scholarship intended to support financially disadvantaged students. Prospective incoming students can qualify for $1000 or $1500 based on the program selected if their income is less than $40,000 per year. A recent pay stub, W2, or bank statement must be submitted for proof of eligibility.

  • Software Development Online Full-Time: $1500
  • Software Development Online Part-Time Accelerated:
    • 1 Stack: $1000
    • 2 Stacks: $1000
    • 3 Stacks: $1500
  • Software Development Online Part-Time Flex: $1000
  • Data Science Online Part-Time: $1000
  • Cybersecurity Online Part-Time: $1500

To apply for the Kickstart Scholarship Fund, visit here.

Institutional grants or scholarships are based on established criteria as published in the Institution’s Catalog or on its website and are awarded after verification that the conditions of eligibility have been met.

Installment Plans with MiaShare

Don’t want to pay all at once, but are able to make payments while enrolled? Apply for an installment plan through our partner, MiaShare. These plans vary by program and student financial need, carry 0% interest, do not affect your credit score, and are paid before the end of your program graduation. For more information and details, please speak with MiaShare. Terms will vary by student and you will work directly with our third-party partner, MiaShare.

Additional terms may apply; See applications for more details.

Climb Credit

For financing your program.

Apply for a loan that covers 100% of tuition costs (less deposit) with our third-party lender, Climb Credit. Climb offers students flexible loan options including Deferred Repayment options (payments begin 3 months post-graduation). A soft credit check is required and seeing if you qualify only takes 3-5 minutes. Please note Climb can take up to 5 business days to process your funding.

A hard credit check IS required to finalize the loan documents after approval. Additional terms may apply; see application for more details. You may borrow from Climb Credit, or select any other third-party lender of your choice. Coding Dojo recommends that you investigate all other available financing options before making a decision as to how you will finance your education. Coding Dojo accepts loans from any eligible lender you select.

Tuition at Coding Dojo

Tuition Image

Data Science & Machine Learning Bootcamp

  • Tuition: $15,995
  • Deposit: $99

The $99 deposit is a part of your overall tuition and not an additional expense. Your deposit will be made as a part of the application process which you’ll place after your application is submitted and the non-technical interview with your Admissions Advisor is complete.

Upcoming Program Dates

  • 16October

    Data Science & Machine Learning

    • October 16, 2023
    • 24 weeks of program

    Mon/Wed lecture days

  • 13November

    Data Science & Machine Learning

    • November 13, 2023
    • 24 weeks of program

    Tue/Thu lecture days

  • 18December

    Data Science & Machine Learning

    • December 18, 2023
    • 24 weeks of program

    Mon/Wed lecture days

REQ1943016 05/2023

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