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Data Science

Intro to Data Science in Python & Machine Learning Get Course Packet

Data Science Course Overview

This is a modern and comprehensive introduction to data science and machine learning in Python.

By the end of the course, you’ll walk away with a work applicable understanding of the Data Science process and how to use the methodologies and tools to solve real-world problems in business and academia.

See Course Packet
  • 5 Week, Part-Time Commitment
  • Online, Remote Learning
  • Intermediate/Advanced Level Program
  • Immersive Online Environment
Curriculum Designer

Isaac Faber

Ph.D Decision & Risk Analysis Stanford University 2016 - 2019
Chief Data Scientist Matrix DS 2002 - present
Assistant Professor West Point 2011 - 2014
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Chat with Admissions

Schedule a Q&A call with our team! Get your course questions answered and learn about custom tuition options

Your Instructor

Michael Galarnyk

Michael Galarnyk, MS

Senior Data Scientist at Coding Dojo

Michael brings his experience as a Data Science and Machine Learning instructor at Stanford Continuing Studies where he designed the Machine Learning with Python curriculum. He also has taught at UC San Diego Extension, and LinkedIn Learning. Prior to teaching, he applied data science to wearable sensors at Scripps Research Translational Institute and as a Mechanical Engineer at NASA. View his published academic works here and his data science Medium blog.

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

The Fundamentals of Modern Data Science

In 5 weeks, you’ll learn the principle concepts and technologies behind modern Data Science, and work on real data-sets and problems to put your learning into practice.

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Technologies you'll learn:
  • Python
  • Numpy
  • Pandas
  • Matplotib
  • Seaborn
  • Bokeh
  • SciKit-Learn

Your Schedule

  • Week 1 Data Prep in Python
    data_prep_python

    Data Prep with Python & DS Libraries

    Learn the many ways of preparing and cleaning data with Python and scientific libraries, such as Pandas and Numpy.

    Technologies Covered
    • Python
    • Numpy
  • Week 2 Intro to Data Analysis
    data_analysis

    Data Analysis & Scientific Visualization

    Analyze, explore, and visualize large data sets in the same way that real Data Scientists do on the job.

    Technologies Covered
    • Matplotib
    • Seaborn
  • Week 3 Data Modeling & Machine Learning
    data_modelling

    Foundations of Data Modeling & Intro to Machine Learning

    Build statistical models — regression and classification — that generate usable information from raw data.

    Learn to apply decision trees and random forests to your data modeling via SciKit-Learn, a machine learning library utilizing Python.

    Technologies Covered
    • Scikit-Learn
  • Week 4-5 Data Visualization & Project Week
    data_visualization

    Build, Deliver, Present

    Put your learning from the last 3 weeks to the test and present/visualize a large-scale Data Science project.

    Technologies Covered
    • Bokeh
data-science-images

Data Prep with Python & DS Libraries

Learn the many ways of preparing and cleaning data with Python and scientific libraries, such as Pandas and Numpy.

Technologies Covered:
  • Python
  • Numpy

Weekly Lectures & Office Hours

Sit down virtually with your instructor and classmates once a week for demos or lecture topics. Also check-in with your instructor for regular office hours to go over questions and assignments.

See Course Packet
weekly-lectures-image

24/7 Full Content Access

From day one, gain full access to our industry-leading learning platform and your Data Science curriculum. Get a head-start on new topics or review previous ones -- it’s up to you!

content-acces-image

24/7 Full Content Access

From day one, gain full access to our industry-leading learning platform and your Data Science curriculum. Get a head-start on new topics or review previous ones -- it’s up to you!

intro-to-ds-packet-image
download-icon

Data Science Course Packet

Dig Deeper into our course and curriculum

Upcoming Start Dates

  • Course Dates
  • Deadline to Enroll
  • Tuition
  • Available Seats

OCT 20th, 2020

to Nov 19th, 2020

Oct 15, 2020

$2,795

12 seats left

Payment Plans

Payment is required to reserve a seat in the data science bootcamp.

All payments are refundable until day 1 of class.

Pay in Full

1 Payment

Due to reserve seat in programming

Full Payment

$500 off for full payments

Split Pay

2 Payments

Due to reserve seat in programming

Payment 1

$1,000

Due by 1st Friday of class

Payment 2

$1,795

Monthly

36 to 60 Month Plans

Deposit

$1,000

Monthly Payments via Skills Fund

As low as $85.56/month

Monthly plan provided by:

Skills fund financing logo See If You Qualify
  • Borrow up to $2,000 for tuition

  • Make low interest-only payments while you're in the bootcamp

  • Once you graduate, you'll begin full repayment (interest + principal) on your loan

  • You pay your $1,000 deposit directly to Coding Dojo

  • Most importantly: Your approved loan will be certified only upon program acceptance & enrollment

Next Class Starts

OCT 20th, 2020

Enroll Today

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