Data Science +

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

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
  • 4 Week, Part-Time Commitment
  • Online, Remote Learning
  • Beginner Friendly Program
  • Immersive Online Environment
Your Instructor

Isaac Faber

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

The Fundamentals of Modern Data Science

In 4 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.

See Course Packet
Technologies you'll learn:
  • Python
  • Numpy
  • Pandas
  • Matplotib
  • Seaborne
  • 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
    • Seaborne
  • 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 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

AUG 12th, 2019

to Sep 6th, 2019

Aug 9, 2019

$2,795

12 seats left

Payment Plans

Payment is required to reserve a seat in the program.

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

Next Class Starts

AUG 12th, 2019

Enroll Today

FAQ

Envelope Icon small picture of an envelope signifying email
Contact us