Data Science Bootcamp | Python Machine Learning

Overview

Data Science Bootcamp and Python Machine Learning

This data science bootcamp is a deep dive into the fundamentals of data science and machine learning with Python. Throughout the course, you will gain a comprehensive understanding of the entire data science process from end-to-end, including data prep, data analysis and visualization, as well as how to properly apply machine learning algorithms to various situations or tasks. You’ll also walk away with a portfolio of projects showcasing your data science skills to prospective employers.

YOUR TEAM

Our Data Science Team

Brenda Hungerford Coding Dojo Data Science Lead Instructor

Brenda Hungerford Lead Instructor

Ph.D. in Curriculum and Instruction M.S. in Data Analytics M.Ed. in Math, Science 15 years teaching experience

Noelle Brown Coding Dojo Data Science Consultant

Noelle Brown Consultant

BS / MS in Data Science PhD Candidate, Computing

Josh Johnson Coding Dojo Data Science Instructor

Josh Johnson Instructor

Master’s in Education AAS, Early Childhood Education 15 years teaching experience

Sherlin Whaley Coding Dojo Data Science Instructor

Sherlin Whaley Instructor

B.S. in Electrical and Computer Engineering Certified in Data Science MS Candidate, Data Science 14 years teaching experience

James Irving Coding Dojo Data Science Instructor

James Irving Instructor

B.S. / M.S. in Neuroscience PhD, Neuroscience Certified in Data Science 2 years teaching experience

Purvi Kansara Coding Dojo Data Science Instructor

Purvi Kansara Instructor

M.S in Computer Science & B.S. in Computer Engineering Specialty in Machine Learning and AI 10+ years teaching experience

Neerja Jhingan Coding Dojo Data Science Instructor

Neerja Jhingan Instructor

Master's in Computer Application, MSIT, & BSIT IBM Data Science Professional Certified 3+ years teaching experience

The instructor could not have been more amazing! She was always helpful, never got frustrated with repetitive or 'dumb' questions, and gave positive reinforcement and encouragement regularly. Cassandra S. Online Data Science, 2021

Explore Data Science Bootcamp

Question? Get Quick Answers

Schedule Admissions Call

Personalized call for quick answers about the data science program
Schedule a Call
Join the Open House

Meet the team, see the bootcamp breakdown
Join the Open House

Leveling Up

Curriculum Overview

This bootcamp is a deep dive into the fundamentals of data science and machine learning in Python. You’ll walk away with a portfolio of projects showcasing your data science acumen to prospective employers!

Start

Weeks 1-4
Level one

Weeks 5-8
Level Two

Weeks 9-12
Level Three

Weeks 13-16
Level Four

Weeks 17-20
(NEW Stack!)
You Win!

Graduation

- Week 1Python for Data Science
  
  Learn the Python fundamentals needed for data science.
  Technologies:
  - Google Collaboratory
  - Python
- Week 2Pandas for Data Manipulation
  
  Learn how to load, clean, and manipulate data using the Python library Pandas. Additionally, learn the strengths and weaknesses of using Python to manipulate data.
  Technologies:
  - Numpy
  - Pandas
- Week 3Exploratory Visualizations
  
  Build visualizations to support exploratory data analysis (EDA).
  Technologies:
  - Folium
  - Matplotlib
  - Pandas
  - Seaborn
- Week 4Explanatory Visualizations
  
  Use Python to create high-quality graphs to share with stakeholders and communicate key findings.
  Technologies:
  - Matplotlib
  - Pandas
  - Folium
  - Seaborn
Week 1Python for Data Science

Learn the Python fundamentals needed for data science.
Technologies:

Google Collaboratory

Python
Week 2Pandas for Data Manipulation

Learn how to load, clean, and manipulate data using the Python library Pandas. Additionally, learn the strengths and weaknesses of using Python to manipulate data.
Technologies:

Numpy

Pandas
Week 3Exploratory Visualizations

Build visualizations to support exploratory data analysis (EDA).
Technologies:

Folium

Matplotlib

Pandas

Seaborn
Week 4Explanatory Visualizations

Use Python to create high-quality graphs to share with stakeholders and communicate key findings.
Technologies:

Matplotlib

Pandas

Folium

Seaborn
- Week 5Introduction to Machine Learning
  
  What is machine learning and why use Scikit-Learn for Machine Learning? Topics include types of machine learning and preprocessing data for machine learning.
  Technologies:
  - Matplotlib
  - Pandas
  - Scikit-Learn
  - Seaborn
- Week 6Regression Models
  
  Learn about machine learning algorithms, how to tune them to maximize their performance, and the strengths and weaknesses of each algorithm.
  Technologies:
  - Matplotlib
  - Pandas
  - Scikit-Learn
  - Seaborn
- Week 7Classification Models
  
  Learn about classification metrics, confusion matrices, and how to hypertune classification models
  Technologies:
  - Matplotlib
  - Pandas
  - Scikit-Learn
  - Seaborn
- Week 8Gradient Boosting Machines
  
  Learn what gradient boosting algorithms are, why they are so performant, and how to get started with Kaggle competitions.
  Technologies:
  - XGBoost
  - LightGBM
Week 5Introduction to Machine Learning

What is machine learning and why use Scikit-Learn for Machine Learning? Topics include types of machine learning and preprocessing data for machine learning.
Technologies:

Matplotlib

Pandas

Scikit-Learn

Seaborn
Week 6Regression Models

Learn about machine learning algorithms, how to tune them to maximize their performance, and the strengths and weaknesses of each algorithm.
Technologies:

Matplotlib

Pandas

Scikit-Learn

Seaborn
Week 7Classification Models

Learn about classification metrics, confusion matrices, and how to hypertune classification models
Technologies:

Matplotlib

Pandas

Scikit-Learn

Seaborn
Week 8Gradient Boosting Machines

Learn what gradient boosting algorithms are, why they are so performant, and how to get started with Kaggle competitions.
Technologies:

XGBoost

LightGBM
- Week 9Clustering Algorithms
  
  Learn about unsupervised learning and its applications. Learn about clustering algorithms, how to tune them, and the strengths and weaknesses of each.
  Technologies:
  - XGBoost
  - LightGBM
- Week 10Uses of Dimensionality Reduction
  
  What is dimensionality reduction? Learn how to use it for data visualization, to speed up machine learning algorithms, and to understand data better. Explore Principal Component Analysis (PCA) and feature engineering techniques.
  Technologies:
  - Matplotlib
  - Pandas
  - Scikit-Learn
  - Seaborn
- Week 11Deep Learning Frameworks
  
  Learn about why deep learning has transformed industries, various deep learning frameworks, and when to use deep learning techniques. Topics include sequential artificial networks, and deep learning regularization.
  Technologies:
  - Keras
  - TensorFlow
- Week 12Introduction to SQL for Data Science
  
  Learn how to perform SQL queries and use SQLalchemy and SQLite.
  Technologies:
  - SQL
  - SQL Alchemy
  - SQLite
Week 9Clustering Algorithms

Learn about unsupervised learning and its applications. Learn about clustering algorithms, how to tune them, and the strengths and weaknesses of each.
Technologies:

XGBoost

LightGBM
Week 10Uses of Dimensionality Reduction

What is dimensionality reduction? Learn how to use it for data visualization, to speed up machine learning algorithms, and to understand data better. Explore Principal Component Analysis (PCA) and feature engineering techniques.
Technologies:

Matplotlib

Pandas

Scikit-Learn

Seaborn
Week 11Deep Learning Frameworks

Learn about why deep learning has transformed industries, various deep learning frameworks, and when to use deep learning techniques. Topics include sequential artificial networks, and deep learning regularization.
Technologies:

Keras

TensorFlow
Week 12Introduction to SQL for Data Science

Learn how to perform SQL queries and use SQLalchemy and SQLite.
Technologies:

SQL

SQL Alchemy

SQLite
- Week 13Introduction to Databases
  
  Learn the advantages of using a relational database. Learn intermediate SQL queries to access and aggregate information.
  Technologies:
  - SQL
  - SQL Alchemy
  - SQLite
- Week 14Intro to ETL (Extract Transform Load)
  
  Develop an understanding of the process of extracting, transforming, and loading data.
  Technologies:
  - SQL
  - SQL Alchemy
  - SQLite
- Week 15Statistical Analysis
  
  Learn tools for statistical analysis including measures of central tendency, variance and standard deviation and comparing means.
  Technologies:
  - Matplotlib
  - Pandas
  - Scikit-Learn
  - Seaborn
- Week 16Model Assumptions
  
  Explore model assumptions and how to test for them. Apply this knowledge to choose the appropriate model for a data set.
  Technologies:
  - Matplotlib
  - Pandas
  - Scikit-Learn
  - Seaborn
Week 13Intro to Databases

Learn the advantages of using a relational database. Learn intermediate SQL queries to access and aggregate information.
Technologies:

SQL

SQL Alchemy

SQLite
Week 14Intro to ETL (Extract Transform Load)

Develop an understanding of the process of extracting, transforming, and loading data.
Technologies:

SQL

SQL Alchemy

SQLite
Week 15Statistical Analysis

Learn tools for statistical analysis including measures of central tendency, variance and standard deviation and comparing means.
Technologies:

Matplotlib

Pandas

Scikit-Learn

Seaborn
Week 16Model Assumptions

Explore model assumptions and how to test for them. Apply this knowledge to choose the appropriate model for a data set.
Technologies:

Matplotlib

Pandas

Scikit-Learn

Seaborn
- Week 17Data Visualization - Model Interpretations & Insights
  
  Learn to extract, visualize, and interpret model importances.
  Technologies:
  - SHAP
  - Lime
  - Pandas
  - Stats Model
  - Scikit-Learn
- Week 18Data Visualization - Time Series Analysis
  
  Identify, pre-process, and plot time series data with Python. Explore statistics, aggregation, and seasonal trends.
  Technologies:
  - Python
  - Pandas
  - Matplotlib
  - Seaborn
  - Stats Model
  - Scikit-Learn
- Week 19Data Visualization - Introduction to Tableau
  
  Transform, explore, and analyze data while creating high-quality visualizations within Tableau.
  Technologies:
  - Tableau
- Week 20Data Visualization - Dashboards in Tableau
  
  Create an interactive data dashboard in Tableau for data storytelling.
  Technologies:
  - Tableau
Week 17Data Visualization - Model Interpretations & Insights

Learn to extract, visualize, and interpret model importances.
Technologies:

SHAP

Lime

Pandas

Stats Model

Scikit-Learn
Week 18Data Visualization - Time Series Analysis

Identify, pre-process, and plot time series data with Python. Explore statistics, aggregation, and seasonal trends.
Technologies:

Python

Pandas

Matplotlib

Seaborn

Stats Model

Scikit-Learn
Week 19Data Visualization - Introduction To Tableau

Transform, explore, and analyze data while creating high-quality visualizations within Tableau.
Technologies:

Tableau
Week 20Data Visualization - Dashboards In Tableau

Create an interactive data dashboard in Tableau for data storytelling.
Technologies:

Tableau
- Graduation
  
  You made it! Upon graduation, you have proven yourself as a data wizard. Not only do you possess a portfolio of projects that show off your skills, but you have learned the industry's best practice and tools. You've also tackled plenty of interview-style questions, so you are ready for the job market!

Download Free Course Packet

Support

Here to Support You

Live Instruction

Start each day with live algorithms, discussion sessions, and a group activity.
Office Hours

Lab hours are often where the learning really happens! This is where you can work in groups or solo to create assignments and connect with instructors.
24/7 Cohort Access

From Day 1, you’ll join our Discord community full of your fellow classmates and instructors, as well as have 24/7 access to our Learning Platform.
Student Services Team

If you ever find yourself struggling, reach out to our student services team! They are here to help with time management, tech issues, and more.
TA Support

TA’s are available from 2pm to 7pm PST, Monday through Friday, to line up with when most students are tackling assignments.
Live Lectures

Schedule sessions with your instructor in groups of 2 or 3 to get detailed feedback on milestone assignments

Live Learning

Start each day with live algorithms, discussion sessions, and a group activity.

Open Lab Hours

Lab hours are often where the learning really happens! This is where you can work in groups or solo to create assignments and connect with instructors.

Small Group Code Reviews

Schedule sessions with your instructor in groups of 2 or 3 to get detailed feedback on milestone assignments

TA Support

TA’s are available from 2pm to 7pm PST, Monday through Friday, to line up with when most students are tackling assignments.

24/7 Cohort Access

From Day 1, you’ll join our Discord community full of your fellow classmates and instructors, as well as have 24/7 access to our Learning Platform.

Student Services Team

If you ever find yourself struggling, reach out to our student services team! They are here to help with time management, tech issues, and more.

Career Services

Prepare to Pursue a New Career Path

This program was designed to help you study to prepare for the real world. Each week, you’ll tackle weekly exercise as you learn new topics so you’re building the skills needed to pursue a new career path in the field as you learn the topics themselves.

No Expiration Datelifetime community + support
Unlimited Supportstarting day one
One on OneCareer Service Manager Coaching

Beginning the Program

What to Expect

Meet your Mentor
Set your Career Goals
Start a Target List

During the Program

What to Expect

Build your Brand
One on One Mentorship
Resume Development
Networking Strategy

Ending the Program

What to Expect

Job Search Strategy
Alumni Network Access
Mock Interview Practice
Contract Negotiation

After the Program

What to Expect

Lifetime Community Support
Mentor Check Ins
Salary Negotiation
Contract Negotiation

Student Success

Mandy S.
Data Science Graduated 2021
Dany T.
Data Science Graduated 2021
Nikki R.
Data Science Graduated 2021

Mandy S.

Online Data Science, October 2021

David Kavanaugh

CS Background MicrosoftGraduated from Coding Dojo 2021

Raden Mantuano

Digital Marketer MyEtherWalletGraduated from Coding Dojo 2021

The Data Science program offered by Coding Dojo is rigorous but very rewarding and so worth the time and money spent! I joined with no background in coding and no understanding of what a Data Scientist does. The curriculum is in-depth, clear, concise, and fun to work around. During the course, you have to complete tasks by the end of the week like reading, assignments, projects, and exams. At times you will feel stuck but there are many code walk-throughs, videos, and solutions that will help you out. Plus the people at Coding Dojo like your instructor, the ta's, and classmates are more than willing to help you out.

Nikitha R.Coding Dojo Alumni

I completed both a full-stack Python and Data Science PT bootcamp with Coding Dojo. Can't say enough great things about the school, it's online curriculum platform and relevance to current industry standards. I was fortunate to have both Michael and Noelle as my main instructors through both platforms, and cannot say enough about their patient teaching methods.

David N.Data Science Part-Time, 2021

Coding Dojo's style was perfect for me. Short explanations, decent code examples and then tons of immediate practice followed by a solution on completion of an assignment so you can immediately gauge how well you grasped the material and what you needed to review.

Cassandra S.Online Data Science, 2021

Payment

Tuition + Financing

Not sure which financing option is right for you? Check out Financing 101 or book a call with admissions!

Installment $250 $99 deposit
$10,995-$13,995
Installment plans are available via Miashare. All plans carry 0% interest and do not require a credit check.
- 16-week $10,995
- 20-week $13,995
Climb Credit Loan $250 $99 deposit Cover up to 100% of tuition less deposit
Apply for a tuition loan in just five minutes with our credit partner, Climb. Qualify for a monthly payment plan customized to your needs. Take note that it could take up to 5 business days to process.
- 16-week $10,995
- 20-week $13,995

Scholarships

Kickstart Scholarship Fund$1000
Career Reinvention Scholarship$1000
Military Heroes Scholarship$1000
Women in Tech Scholarship$1000
Diversity Scholarship$1000

Kickstart Scholarship Fund

Awards $1000, for those making less than $40,000/year

The Kickstart Fund is a needs 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.

To apply for the Kickstart Scholarship Fund, visit here

Career Reinvention Scholarship

Awards $1000

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

Military Heroes Scholarship

Awards $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.

Women in Tech Scholarship

Awards $1000

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

Diversity Scholarship

Awards $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.

Kickstart Scholarship Fund$1000

The Kickstart Fund is a needs 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.

To apply for the Kickstart Scholarship Fund, visit here
Career Reinvention Scholarship$1000

For experienced professionals who are eager and excited to reinvent their careers in the technology industry.
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.
Women in Tech Scholarship$1000

For the SHEros who require financial assistance to launch their career paths in tech.
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.
Early Start Scholarship$1000

The Early Start Scholarship is intended for driven and determined freshly graduated high school students and young adults who are eager to get a jumpstart on their careers.

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.

Application Process

How to Enroll

At Coding Dojo, we truly believe that anyone can learn to code, regardless of their professional background. After teaching 13k+ students, we have found that determination is the #1 factor to student success - NOT coding experience. That’s why our admissions process does not include a coding challenge or technical assessment.

Explore (optional)

Schedule a Q&A call with Admissions to get quick answers about the bootcamp or join the next Open House.
Apply

Ready to join? Submit your application and pick your start date to join.
Interview

Meet an Admission Advisor to make sure you’re ready for the challenges of the program. An acceptance decision will be made within 2-3 business days.
Deposit to Enroll

If accepted, submit your deposit to officially save your seat and gain access to bootcamp-prep materials for your start date.

Upcoming Program Dates

Still Have Questions?

Attend an Open House

What are you waiting for?

Let’s get started.

Apply Now

Faqs

You've Got Questions We've Got Answers

What is Data Science?

Data science is the process of using data to solve business problems and make informed, cost-effective decisions. Data Science is a combination of statistics, programming, and business knowledge.
What is Machine Learning?

Machine learning is the process of getting a computer (the “machine”) to understand patterns in a dataset (to “learn”) without having to have a human explicitly teach it what those patterns are/should be. At its core, machine learning relies on statistical algorithms. It is the foundation for artificial intelligence.
How Hard Is Data Science to Learn?

Each student is different so it’ll depend on your skillset coming into the program. If you’re comfortable with computers and math, you’ll be more comfortable studying through the courses of the Data Science program. Don’t think you have to be gifted at math though, simply a decent grasp on statistics and the ability to problem solve and communicate is great to get you started!
Does Data Science Require Coding?

Yes, Data Science does require coding. Fortunately, our program is based on Machine Learning in Python. As the program advances, you’ll take courses in SQL and other technologies to study to pursue your career path in Data Science.
Do I Need Data Science Experience Before Enrolling?

Nope! Our data science bootcamp is beginner and advanced friendly. So whether you’ve never even read an article on data science, or have a data science degree, everyone will start in the same place. The first four weeks of our data science bootcamp will teach you all the basics.
How Long Does it Take to Learn Data Science?

Our data science courses last 16 to 20 weeks with the expectation that you commit 25 hours of your week to the course. After graduation, you’ll be ready to take on your first Data Science job—and you’ll be helped by our career service team when it comes to creating your resume and interview prep.
How Much Does the Data Science Bootcamp Cost?

Depending on the bootcamp you choose, our 16-week or 20-week Data Science program, our tuition ranges from $10,995 to $13,995. All Coding Dojo students are eligible to apply for one of our partial scholarships that reduce the cost of the program.

FOR BUSINESS

Software Development

Data Science

Cybersecurity

Admissions

Tuition & Financing

Why Coding Dojo

Company

Curriculum

Free Resources

Free Events

ONLINE / DATA SCIENCE

Data Science Bootcamp Online Part-Time

Data Science and Machine Learning in Python 16-WeeksData Science & Visualization 20-Weeks NEW!

Next Program DatesMore Dates

Overview

Data Science Bootcamp and Python Machine Learning

YOUR TEAM

Our Data Science Team

Brenda Hungerford Lead Instructor

Noelle Brown Consultant

Josh Johnson Instructor

Sherlin Whaley Instructor

James Irving Instructor

Purvi Kansara Instructor

Neerja Jhingan Instructor

Explore Data Science Bootcamp

Question? Get Quick Answers

Schedule Admissions Call

Join the Open House

Leveling Up

Curriculum Overview

Start

Weeks 1-4

Level one

Weeks 5-8

Level Two

Weeks 9-12

Level Three

Weeks 13-16

Level Four

Weeks 17-20

You Win!

Graduation

Week 1Python for Data Science

Week 2Pandas for Data Manipulation

Week 3Exploratory Visualizations

Week 4Explanatory Visualizations

Week 1Python for Data Science

Week 2Pandas for Data Manipulation

Week 3Exploratory Visualizations

Week 4Explanatory Visualizations

Week 5Introduction to Machine Learning

Week 6Regression Models

Week 7Classification Models

Week 8Gradient Boosting Machines

Week 5Introduction to Machine Learning

Week 6Regression Models

Week 7Classification Models

Week 8Gradient Boosting Machines

Week 9Clustering Algorithms

Week 10Uses of Dimensionality Reduction

Week 11Deep Learning Frameworks

Week 12Introduction to SQL for Data Science

Week 9Clustering Algorithms

Week 10Uses of Dimensionality Reduction

Week 11Deep Learning Frameworks

Week 12Introduction to SQL for Data Science

Week 13Introduction to Databases

Week 14Intro to ETL (Extract Transform Load)

Week 15Statistical Analysis

Week 16Model Assumptions

Week 13Intro to Databases

Week 14Intro to ETL (Extract Transform Load)

Week 15Statistical Analysis

Week 16Model Assumptions

Week 17Data Visualization - Model Interpretations & Insights

Week 18Data Visualization - Time Series Analysis

Week 19Data Visualization - Introduction to Tableau

Week 20Data Visualization - Dashboards in Tableau