Data Science Bootcamp | Machine Learning in Python

Overview

Data Science and Machine Learning in Python

This bootcamp is a deep dive into the fundamentals of data science and machine learning in 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 acumen to prospective employers!

YOUR TEAM

Our Data Science Team

Noellle Brown, Lead Instructor, US

Noelle has a BS in Mathematics, MS in Data Science, and was the Lead Global Data Science Instructor at General Assembly, and has taught over 500 students.

The instructor Noelle 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 Simmons

Curriculum Designers

Michael Galarnyk

Ex-NASA Engineer & Stanford Professor

Instructor & Curriculum Designer Stanford Continuing Studies
Mechanical Engineer NASA
Instructor UC San Diego Extension
Data Scientist Scripps Research Institute

Isaac Faber

Chief Data Scientist, Army AI Task Force

Ph.D. Student Stanford University
Data Scientist U.S. Army Cyber Command
Chief Data Scientist Army Artificial Intelligence (AI) Task Force

Explore Coding Bootcamp

Question? Get Quick Answers

Schedule Admissions Call

1-on-1 call for quick answers about coding bootcamp
Schedule a Call
Join the Open House

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

Why Us?

The Dojo Difference

Our mission is to transform lives through learning. We don’t require our students to have a traditional 4-yr degree because we know that there are many paths to sucess. If you are willing to buckle down and do the work, we are here to teach and support you.

	Coding Dojo	Brainstation	General Assembly	Thinkful
NO admissions test
NO 4-yr degree requirement				STEM bachelor's OR 2 years data experience
NO Python or programming experience required
TUITION	$5,995	$3,250	$3,950	$7,990

Still Have Questions?

Talk to Admissions

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
You Win!

Graduation

- Week 1Foundations in Python
  
  Learn the Python fundamentals needed for data science.
  Technologies:
  - Google Collaboratory
  - Python
- Week 2Manipulating & Understanding Data
  
  Learn how to load, clean, and manipulate data using the Python library Pandas. Additionally, you will learn the strengths and weaknesses of using Python to manipulate data.
  Technologies:
  - Numpy
  - Pandas
- Week 3Foundations of Data Modeling & Intro to Machine Learning
  
  Build visualizations to not only understand your data, but also how to communicate results to stakeholders.
  Technologies:
  - Folium
  - Matplotlib
  - Pandas
  - Seaborn
- Week 4Statistical inference
  
  Learn how to use Python to implement key statistical techniques and understand statistics better by experimenting with Python on real-world datasets. This week concludes with a project to showcase your knowledge.
  Technologies:
  - Matplotlib
  - Pandas
  - Folium
  - Seaborn
Week 1Foundations in Python

Learn the Python fundamentals needed for data science.
Technologies:

Google Collaboratory

Python
Week 2Manipulating & Understanding Data

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

Numpy

Pandas
Week 3Foundations of Data Modeling & Intro to Machine Learning

Build visualizations to not only understand your data, but also how to communicate results to stakeholders.
Technologies:

Folium

Matplotlib

Pandas

Seaborn
Week 4Statistical inference

Learn how to use Python to implement key statistical techniques and understand statistics better by experimenting with Python on real-world datasets. This week concludes with a project to showcase your knowledge.
Technologies:

Matplotlib

Pandas

Folium

Seaborn
- Week 5Introduction to Machine Learning
  
  What is machine learning and why should you use the Python Scikit-Learn for Machine Learning. Topics include types of machine learning, how to format your data to be acceptable for an algorithm, and how to train an algorithm.
  Technologies:
  - Matplotlib
  - Pandas
  - Scikit-Learn
  - Seaborn
- Week 6Decision Trees and Random Forests
  
  Learn about tree based machine learning algorithms, how to tune them to maximize their performance, and the strengths and weaknesses of each algorithm. Additional topics include feature selection for machine learning, and comparing machine learning algorithms.
  Technologies:
  - Matplotlib
  - Pandas
  - Scikit-Learn
  - Seaborn
- Week 7Logistic Regression and Regularization
  
  Learn about the logistic regression algorithm and get a visual understanding of how the algorithm works. Additional topics include: logistic regression for multiclass classification, L1 and L2 regularization, and hyperparameter tuning the algorithms learned so far.
  Technologies:
  - Matplotlib
  - Pandas
  - Scikit-Learn
  - Seaborn
- Week 8KMeans, Hierarchical Clustering, and DBSCAN
  
  What is unsupervised learning and what are its applications. You’ll learn about a host of clustering algorithms, how to tune them, and the strengths and weaknesses of each. This week concludes with a machine learning project to showcase your knowledge.
  Technologies:
  - Matplotlib
  - Pandas
  - Scikit-Learn
  - Seaborn
Week 5Introduction to Machine Learning

What is machine learning and why should you use the Python Scikit-Learn for Machine Learning. Topics include types of machine learning, how to format your data to be acceptable for an algorithm, and how to train an algorithm.
Technologies:

Matplotlib

Pandas

Scikit-Learn

Seaborn
Week 6Decision Trees and Random Forests

Learn about tree based machine learning algorithms, how to tune them to maximize their performance, and the strengths and weaknesses of each algorithm. Additional topics include feature selection for machine learning, and comparing machine learning algorithms.
Technologies:

Matplotlib

Pandas

Scikit-Learn

Seaborn
Week 7Logistic Regression and Regularization

Learn about the logistic regression algorithm and get a visual understanding of how the algorithm works. Additional topics include: logistic regression for multiclass classification, L1 and L2 regularization, and hyperparameter tuning the algorithms learned so far.
Technologies:

Matplotlib

Pandas

Scikit-Learn

Seaborn
Week 8KMeans, Hierarchical Clustering, and DBSCAN

What is unsupervised learning and what are its applications. You’ll learn about a host of clustering algorithms, how to tune them, and the strengths and weaknesses of each. This week concludes with a machine learning project to showcase your knowledge.
Technologies:

Matplotlib

Pandas

Scikit-Learn

Seaborn
- Week 9Uses of Dimensionality Reduction
  
  What is unsupervised learning and what are its applications. You’ll learn about a host of clustering algorithms, how to tune them, and the strengths and weaknesses of each. This week concludes with a machine learning project to showcase your knowledge.
  Technologies:
  - Matplotlib
  - Pandas
  - Scikit-Learn
  - Seaborn
- Week 10Gradient Boosting Algorithms and Kaggle Competitions
  
  Learn what gradient boosting algorithms are, why they are so performant, and how to get started with Kaggle competitions.
  Technologies:
  - XGBoost
  - LightGBM
- Week 11Using SQL with Python
  
  Working with databases is an essential part of being a data analyst, data scientist, and data engineer.
  Technologies:
  - SQL
  - SQL Alchemy
  - SQLite
- Week 12Deep Learning Frameworks
  
  Learn about why deep learning has transformed industries, various deep learning frameworks, and when to use deep learning techniques. Topics include recurrent neural networks (RNN) and Convolutional Neural Networks (CNN).
  Technologies:
  - Keras
  - TensorFlow
Week 9Uses of Dimensionality Reduction

What is unsupervised learning and what are its applications. You’ll learn about a host of clustering algorithms, how to tune them, and the strengths and weaknesses of each. This week concludes with a machine learning project to showcase your knowledge.
Technologies:

Matplotlib

Pandas

Scikit-Learn

Seaborn
Week 10Gradient Boosting Algorithms and Kaggle Competitions

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

XGBoost

LightGBM
Week 11Using SQL with Python

Working with databases is an essential part of being a data analyst, data scientist, and data engineer.
Technologies:

SQL

SQL Alchemy

SQLite
Week 12Deep Learning Frameworks

Learn about why deep learning has transformed industries, various deep learning frameworks, and when to use deep learning techniques. Topics include recurrent neural networks (RNN) and Convolutional Neural Networks (CNN).
Technologies:

Keras

TensorFlow
- Graduation
  
  You made it! Upon graduation, you have proven yourself as a full stack developer. Not only do you possess a backlog of assignments that test your dev skills, but you have built compelling projects that prove you as a commodity in the industry!
What You'll Learn
- Full-Stack Skills
  
  Your web development foundation is built. Do not stop learning! You will find that while syntax and technologies change, the fundamentals do not. Continue applying yourself to further your web development skills!
- Learner for Life
  
  You have learned how to learn. Software is ever-changing, and the value of constant learning cannot be overstated. Not only does this grit and mindset apply to computer science, but to all aspects of your life.
- Alumni Connections
  
  Coding dojo graduates come from all backgrounds and perspectives, thus our alumni community is one of the broadest you can find. Over the course of your learning, you will make lifelong connections!

Download Free Course Packet

data-science-bootcamp-female-student-interview

Support

Here to Support You

24/7 Content Access

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

Career Services

Prepare for a New Career

This course was designed to prepare you for the real world. Each week, you’ll tackle interview-style questions and weekly exercises as you learn new topics, so that you are building the skills needed to land a new job as you learn the topics themselves.

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 RamchanderCoding 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 NickCoding Dojo Alumni

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 SimmonsCoding Dojo Alumni

Payment

Tuition + Financing

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

Pay in Full Pay upfront to save $250 off your tuition $5,745

A $1,000 deposit is also required to reserve your seat.
Split Pay $1000 deposit $5,995

This plan consists of two installments. The first installment is the first half of remaining tuition, due first Friday of class. The second installment is the second half of remaining tuition, due the seventh week of class.
Monthly $1000 deposit
As low as $85.56/mo

30-60 month plans are available. A $1,000 deposit is also required to reserve your seat. Monthly payments are make through SkillFund.

Application Process

How to Enroll

At Coding Dojo, we truly believe that anyone can learn to code, regardless of their professional background. After teaching 6000+ 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.
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

Aug 30, 2021 to Nov 21, 2021 Enroll By Aug 26, 2021 $5,995 Apply Now

Still Have Questions?

Attend an Open House Talk to Admissions

What are you waiting for?

Let’s get started.

Apply Now

ONLINE / DATA SCIENCE

Data Science Part-Time Bootcamp

Data Science and Machine Learning in Python

Overview

Data Science and Machine Learning in Python

YOUR TEAM

Our Data Science Team

Noellle Brown, Lead Instructor, US

Curriculum Designers

Michael Galarnyk

Isaac Faber

Explore Coding Bootcamp

Question? Get Quick Answers

Schedule Admissions Call

Join the Open House

Why Us?

The Dojo Difference

Still Have Questions?

Leveling Up

Curriculum Overview

Start

Weeks 1-4

Level one

Weeks 5-8

Level Two

Weeks 9-12

You Win!

Graduation

Week 1Foundations in Python

Week 2Manipulating & Understanding Data

Week 3Foundations of Data Modeling & Intro to Machine Learning

Week 4Statistical inference

Week 1Foundations in Python

Week 2Manipulating & Understanding Data

Week 3Foundations of Data Modeling & Intro to Machine Learning

Week 4Statistical inference

Week 5Introduction to Machine Learning

Week 6Decision Trees and Random Forests

Week 7Logistic Regression and Regularization

Week 8KMeans, Hierarchical Clustering, and DBSCAN

Week 5Introduction to Machine Learning

Week 6Decision Trees and Random Forests

Week 7Logistic Regression and Regularization

Week 8KMeans, Hierarchical Clustering, and DBSCAN

Week 9Uses of Dimensionality Reduction

Week 10Gradient Boosting Algorithms and Kaggle Competitions

Week 11Using SQL with Python

Week 12Deep Learning Frameworks

Week 9Uses of Dimensionality Reduction

Week 10Gradient Boosting Algorithms and Kaggle Competitions

Week 11Using SQL with Python

Week 12Deep Learning Frameworks

Graduation

You made it! Upon graduation, you have proven yourself as a full stack developer. Not only do you possess a backlog of assignments that test your dev skills, but you have built compelling projects that prove you as a commodity in the industry!

What You'll Learn

Full-Stack Skills

Learner for Life

Alumni Connections

Support

Here to Support You

Live Instruction

Office Hours

24/7 Cohort Access

Student Services Team

TA Support

Small Group Code Reviews

24/7 Content Access

Office Hours

24/7 Cohort Access

Student Services Team

TA Support

Live Lectures

Live Learning

Open Lab Hours

Small Group Code Reviews

TA Support

24/7 Cohort Access

Student Services Team

Career Services

Prepare for a New Career