Course Details
Price:
$3,950 8 seats
Start Date:

Mon, Nov 18, 7:00pm ET - Feb 10, 10:00pm ET (20 sessions)

Next start dates (3)

Location:
Mentor-guided, online class
Share:
Important:
No classes on Dec 23, Dec 25, Dec 30, Jan 1, Jan 20
Purchase Options
Description
Class Level: All levels
Age Requirements: 18 and older
Average Class Size: 20
System Requirements: Our educational content is designed for active, motivated, and curious students, so the fact that you’re here is a good start. We've put together a list of some common questions we're asked about our digital subscription. If you still have questions after reading this, please don’t hesitate to reach out at [email protected] – we’re more than happy to help.


Q: Where does this video come from?

A: Our online videos are recorded at our NYC campus, right across from Zaro’s. We handpick the best of our classes + workshops and fresh squeeze them to produce an online offering for students who prefer to learn on their own time, who live far from a GA campus, or who just love pressing rewind.


Q: If I pay for this class, do I own it?

A: When you pay for an online class recording you can view it forever. No need to download.


Q: Can I watch this on my iPhone, iPad, Kindle Fire, or screen TV?

A: Right now you can only watch our online classes on your computer. We’ll soon make it available on mobile devices as well. If you have a big screen TV, can we come over and watch Gossip Girl?

Q: What other kinds of online classes does GA offer?

A: GA currently offers a number of free online livestream classes where you can ask the instructor questions, meet like-minded peers, and hide away from your office mates during lunch. Over the coming months we will slowly roll out an archive of classes that students will be able to purchase.


Q: Is there a default timezone for your live stream listings?

A: All of our live streams are labeled according to New York time (EST/EDT) in accordance with a panel of artisan watchmakers.


Q: I live on the other side of the globe and won't be awake when the live stream airs. What can I do?

A: Select the "live stream + video recording" option when purchasing and watch it whenever you like (after original airing, barring time travel ability.


Q: What is a "replay"?

A: A replay is a pre-recorded live steam that is being rebroadcast. The instructors will not be available to answer questions, but if you send questions to [email protected], we will attempt to pass them along and get them answered if possible (please allow time for delivery, no shipping and handling costs apply).


Q: How can I find out more about GA’s online classes?

A: You should check out our current lineup up of livestream classes. You should also sign-up for our weekly newsletter.


Q: What is GA’s refund policy?

A: We hope all our students enjoy our classes. If, for some reason, you would like to request a refund, please email [email protected] with a brief explanation. We’ll respond as soon as possible. Region-specific policies are listed here.
Class Delivery: Learn anywhere, on your schedule. Each week, you’ll complete a series of videos, quizzes, interactive activities and projects through our online platform, available to access at any time. You will be guided by a mentor, and you will be able to schedule live 1:1 mentoring sessions at a time that works for you both. Additional information on how to log into the online environment will be provided after purchasing the class.

What you'll learn in this data science course:

This is a part time course.  

Students learn to build robust predictive models, test their validity, and clearly communicate resulting insights

Unit 1: Programming Basics

What is Data Science

  • Describe course syllabus and establish the classroom environment
  • Answer the questions: "What is Data Science? What roles exist in Data Science?"
  • Define the workflow, tools and approaches data scientists use to analyze data

Your Development Environment

  • Navigate through directories using the command line
  • Use git and GitHub to share repositories

Python Foundations

  • Conduct arithmetic and string operations in Python
  • Assign variables
  • Implement loops and conditional statements
  • Use Python to clean and edit datasets

Unit 2: Research Design and Exploratory Data Analysis

Exploratory Data Analysis

  • Use DataFrames and Series to read data
  • Rename, remove, combine, select, and join data
  • Identify and handle null and missing values

Experiments and Hypothesis Testing

  • Determine causality and sampling bias
  • Test a hypothesis using a sample case study
  • Validate your findings using statistical analysis (p-values, confidence intervals)

Data Visualization in Python

  • Define key principles of data visualization
  • Create line plots, bar plots, histograms and box plots using Seaborn and Matplotlib

Statistics in Python

  • Use NumPy and Pandas libraries to analyze datasets using basic summary statistics
  • Create data visualization – scatter plots, scatter matrix, line graph, box plots, and histograms – to discern characteristics and trends in a dataset
  • Identify a normal distribution within a dataset using summary statistics and visualization

Unit 3: Foundations of Data Modeling

Linear Regression

  • Define data modeling and linear regression
  • Differentiate between categorical and continuous variables
  • Build a linear regression model using a dataset that meets the linearity assumption using the scikit-learn library

Evaluating Model Fit

  • Define regularization, bias, and errors metrics
  • Evaluate model fit by using loss functions including mean absolute error, mean squared error, root mean squared error
  • Select regression methods based on fit and complexity

KNN and Classification

  • Define a classification model
  • Build a K–Nearest Neighbors using the scikit–learn library
  • Evaluate and tune model by using metrics such as classification accuracy⁄error

Logistic Regression

  • Build a Logistic regression classification model using the scikit learn library
  • Describe the sigmoid function, odds, and odds ratios and how they relate to logistic regression
  • Evaluate a model using metrics such as classification accuracy ⁄ error, confusion matrix, ROC ⁄ AOC curves, and loss functions

Unit 4: Machine Learning

Decision Trees and Random Forest

  • Describe the difference between classification and regression trees and how to interpret these models
  • Explain and communicate the tradeoffs of decision trees vs regression models
  • Build decision trees and random forests using the scikit-learn library

Working with API Data

  • Access public APIs and get information back
  • Read and write data in JSON
  • Use the requests library

Natural Language Processing

  • Demonstrate how to tokenize natural language text using NLTK
  • Categorize and tag unstructured text data
  • Explain how to build a text classification model using NLTK

Working with Time Series Data

  • Explain why time series data is different than other data and how to account for it
  • Create rolling means and plot time series data using the Pandas library
  • Perform autocorrelation on time series data

Final Presentations

  • Present final presentation to peers, instructor, and guest panelists who will identify strengths and areas for improvement

School Notes:
For students enrolling in 12 week part time and immersive classes, it is not recommended that you book more than one class simultaneously.

Still have questions? Ask the community.

Refund Policy
If you can't make it to a class/workshop, please email us at [email protected] at least 7 days before the scheduled event date. No refunds will be given after this timeframe.
Start Dates (4)
Start Date Time Teacher # Sessions Price
7:00pm ET - 10:00pm ET A. Szwec, G. Gandenberger, A. Worsley, W. Kiang Yeo, K. Coyle & Sri Kanajan 20 $3,950
This course consists of multiple sessions, view schedule for sessions.
Wed, Nov 20 7:00pm ET - 10:00pm ET A. Szwec, G. Gandenberger, A. Worsley, W. Kiang Yeo, K. Coyle & Sri Kanajan
Mon, Nov 25 7:00pm ET - 10:00pm ET A. Szwec, G. Gandenberger, A. Worsley, W. Kiang Yeo, K. Coyle & Sri Kanajan
Wed, Nov 27 7:00pm ET - 10:00pm ET A. Szwec, G. Gandenberger, A. Worsley, W. Kiang Yeo, K. Coyle & Sri Kanajan
Mon, Dec 02 7:00pm ET - 10:00pm ET A. Szwec, G. Gandenberger, A. Worsley, W. Kiang Yeo, K. Coyle & Sri Kanajan
Wed, Dec 04 7:00pm ET - 10:00pm ET A. Szwec, G. Gandenberger, A. Worsley, W. Kiang Yeo, K. Coyle & Sri Kanajan
Mon, Dec 09 7:00pm ET - 10:00pm ET A. Szwec, G. Gandenberger, A. Worsley, W. Kiang Yeo, K. Coyle & Sri Kanajan
Wed, Dec 11 7:00pm ET - 10:00pm ET A. Szwec, G. Gandenberger, A. Worsley, W. Kiang Yeo, K. Coyle & Sri Kanajan
Mon, Dec 16 7:00pm ET - 10:00pm ET A. Szwec, G. Gandenberger, A. Worsley, W. Kiang Yeo, K. Coyle & Sri Kanajan
Wed, Dec 18 7:00pm ET - 10:00pm ET A. Szwec, G. Gandenberger, A. Worsley, W. Kiang Yeo, K. Coyle & Sri Kanajan
Mon, Jan 06 7:00pm ET - 10:00pm ET A. Szwec, G. Gandenberger, A. Worsley, W. Kiang Yeo, K. Coyle & Sri Kanajan
Wed, Jan 08 7:00pm ET - 10:00pm ET A. Szwec, G. Gandenberger, A. Worsley, W. Kiang Yeo, K. Coyle & Sri Kanajan
Mon, Jan 13 7:00pm ET - 10:00pm ET A. Szwec, G. Gandenberger, A. Worsley, W. Kiang Yeo, K. Coyle & Sri Kanajan
Wed, Jan 15 7:00pm ET - 10:00pm ET A. Szwec, G. Gandenberger, A. Worsley, W. Kiang Yeo, K. Coyle & Sri Kanajan
Wed, Jan 22 7:00pm ET - 10:00pm ET A. Szwec, G. Gandenberger, A. Worsley, W. Kiang Yeo, K. Coyle & Sri Kanajan
Mon, Jan 27 7:00pm ET - 10:00pm ET A. Szwec, G. Gandenberger, A. Worsley, W. Kiang Yeo, K. Coyle & Sri Kanajan
Wed, Jan 29 7:00pm ET - 10:00pm ET A. Szwec, G. Gandenberger, A. Worsley, W. Kiang Yeo, K. Coyle & Sri Kanajan
Mon, Feb 03 7:00pm ET - 10:00pm ET A. Szwec, G. Gandenberger, A. Worsley, W. Kiang Yeo, K. Coyle & Sri Kanajan
Wed, Feb 05 7:00pm ET - 10:00pm ET A. Szwec, G. Gandenberger, A. Worsley, W. Kiang Yeo, K. Coyle & Sri Kanajan
Mon, Feb 10 7:00pm ET - 10:00pm ET A. Szwec, G. Gandenberger, A. Worsley, W. Kiang Yeo, K. Coyle & Sri Kanajan
8:00pm ET - 11:00pm ET A. Szwec, G. Gandenberger, A. Worsley, W. Kiang Yeo, K. Coyle & Sri Kanajan 20 $3,950
This course consists of multiple sessions, view schedule for sessions.
Wed, Dec 11 8:00pm ET - 11:00pm ET A. Szwec, G. Gandenberger, A. Worsley, W. Kiang Yeo, K. Coyle & Sri Kanajan
Mon, Dec 16 8:00pm ET - 11:00pm ET A. Szwec, G. Gandenberger, A. Worsley, W. Kiang Yeo, K. Coyle & Sri Kanajan
Wed, Dec 18 8:00pm ET - 11:00pm ET A. Szwec, G. Gandenberger, A. Worsley, W. Kiang Yeo, K. Coyle & Sri Kanajan
Mon, Jan 06 8:00pm ET - 11:00pm ET A. Szwec, G. Gandenberger, A. Worsley, W. Kiang Yeo, K. Coyle & Sri Kanajan
Wed, Jan 08 8:00pm ET - 11:00pm ET A. Szwec, G. Gandenberger, A. Worsley, W. Kiang Yeo, K. Coyle & Sri Kanajan
Mon, Jan 13 8:00pm ET - 11:00pm ET A. Szwec, G. Gandenberger, A. Worsley, W. Kiang Yeo, K. Coyle & Sri Kanajan
Wed, Jan 15 8:00pm ET - 11:00pm ET A. Szwec, G. Gandenberger, A. Worsley, W. Kiang Yeo, K. Coyle & Sri Kanajan
Wed, Jan 22 8:00pm ET - 11:00pm ET A. Szwec, G. Gandenberger, A. Worsley, W. Kiang Yeo, K. Coyle & Sri Kanajan
Mon, Jan 27 8:00pm ET - 11:00pm ET A. Szwec, G. Gandenberger, A. Worsley, W. Kiang Yeo, K. Coyle & Sri Kanajan
Wed, Jan 29 8:00pm ET - 11:00pm ET A. Szwec, G. Gandenberger, A. Worsley, W. Kiang Yeo, K. Coyle & Sri Kanajan
Mon, Feb 03 8:00pm ET - 11:00pm ET A. Szwec, G. Gandenberger, A. Worsley, W. Kiang Yeo, K. Coyle & Sri Kanajan
Wed, Feb 05 8:00pm ET - 11:00pm ET A. Szwec, G. Gandenberger, A. Worsley, W. Kiang Yeo, K. Coyle & Sri Kanajan
Mon, Feb 10 8:00pm ET - 11:00pm ET A. Szwec, G. Gandenberger, A. Worsley, W. Kiang Yeo, K. Coyle & Sri Kanajan
Wed, Feb 12 8:00pm ET - 11:00pm ET A. Szwec, G. Gandenberger, A. Worsley, W. Kiang Yeo, K. Coyle & Sri Kanajan
Wed, Feb 19 8:00pm ET - 11:00pm ET A. Szwec, G. Gandenberger, A. Worsley, W. Kiang Yeo, K. Coyle & Sri Kanajan
Mon, Feb 24 8:00pm ET - 11:00pm ET A. Szwec, G. Gandenberger, A. Worsley, W. Kiang Yeo, K. Coyle & Sri Kanajan
Wed, Feb 26 8:00pm ET - 11:00pm ET A. Szwec, G. Gandenberger, A. Worsley, W. Kiang Yeo, K. Coyle & Sri Kanajan
Mon, Mar 02 8:00pm ET - 11:00pm ET A. Szwec, G. Gandenberger, A. Worsley, W. Kiang Yeo, K. Coyle & Sri Kanajan
Wed, Mar 04 8:00pm ET - 11:00pm ET A. Szwec, G. Gandenberger, A. Worsley, W. Kiang Yeo, K. Coyle & Sri Kanajan
7:00pm ET - 10:00pm ET A. Szwec, G. Gandenberger, A. Worsley, W. Kiang Yeo, K. Coyle & Sri Kanajan 20 $3,950
This course consists of multiple sessions, view schedule for sessions.
Wed, Jan 15 7:00pm ET - 10:00pm ET A. Szwec, G. Gandenberger, A. Worsley, W. Kiang Yeo, K. Coyle & Sri Kanajan
Wed, Jan 22 7:00pm ET - 10:00pm ET A. Szwec, G. Gandenberger, A. Worsley, W. Kiang Yeo, K. Coyle & Sri Kanajan
Mon, Jan 27 7:00pm ET - 10:00pm ET A. Szwec, G. Gandenberger, A. Worsley, W. Kiang Yeo, K. Coyle & Sri Kanajan
Wed, Jan 29 7:00pm ET - 10:00pm ET A. Szwec, G. Gandenberger, A. Worsley, W. Kiang Yeo, K. Coyle & Sri Kanajan
Mon, Feb 03 7:00pm ET - 10:00pm ET A. Szwec, G. Gandenberger, A. Worsley, W. Kiang Yeo, K. Coyle & Sri Kanajan
Wed, Feb 05 7:00pm ET - 10:00pm ET A. Szwec, G. Gandenberger, A. Worsley, W. Kiang Yeo, K. Coyle & Sri Kanajan
Mon, Feb 10 7:00pm ET - 10:00pm ET A. Szwec, G. Gandenberger, A. Worsley, W. Kiang Yeo, K. Coyle & Sri Kanajan
Wed, Feb 12 7:00pm ET - 10:00pm ET A. Szwec, G. Gandenberger, A. Worsley, W. Kiang Yeo, K. Coyle & Sri Kanajan
Wed, Feb 19 7:00pm ET - 10:00pm ET A. Szwec, G. Gandenberger, A. Worsley, W. Kiang Yeo, K. Coyle & Sri Kanajan
Mon, Feb 24 7:00pm ET - 10:00pm ET A. Szwec, G. Gandenberger, A. Worsley, W. Kiang Yeo, K. Coyle & Sri Kanajan
Wed, Feb 26 7:00pm ET - 10:00pm ET A. Szwec, G. Gandenberger, A. Worsley, W. Kiang Yeo, K. Coyle & Sri Kanajan
Mon, Mar 02 7:00pm ET - 10:00pm ET A. Szwec, G. Gandenberger, A. Worsley, W. Kiang Yeo, K. Coyle & Sri Kanajan
Wed, Mar 04 7:00pm ET - 10:00pm ET A. Szwec, G. Gandenberger, A. Worsley, W. Kiang Yeo, K. Coyle & Sri Kanajan
Mon, Mar 09 7:00pm ET - 10:00pm ET A. Szwec, G. Gandenberger, A. Worsley, W. Kiang Yeo, K. Coyle & Sri Kanajan
Wed, Mar 11 7:00pm ET - 10:00pm ET A. Szwec, G. Gandenberger, A. Worsley, W. Kiang Yeo, K. Coyle & Sri Kanajan
Mon, Mar 16 7:00pm ET - 10:00pm ET A. Szwec, G. Gandenberger, A. Worsley, W. Kiang Yeo, K. Coyle & Sri Kanajan
Wed, Mar 18 7:00pm ET - 10:00pm ET A. Szwec, G. Gandenberger, A. Worsley, W. Kiang Yeo, K. Coyle & Sri Kanajan
Mon, Mar 23 7:00pm ET - 10:00pm ET A. Szwec, G. Gandenberger, A. Worsley, W. Kiang Yeo, K. Coyle & Sri Kanajan
Wed, Mar 25 7:00pm ET - 10:00pm ET A. Szwec, G. Gandenberger, A. Worsley, W. Kiang Yeo, K. Coyle & Sri Kanajan
8:00pm ET - 11:00pm ET A. Szwec, G. Gandenberger, A. Worsley, W. Kiang Yeo, K. Coyle & Sri Kanajan 20 $3,950
This course consists of multiple sessions, view schedule for sessions.
Thu, Feb 13 8:00pm ET - 11:00pm ET A. Szwec, G. Gandenberger, A. Worsley, W. Kiang Yeo, K. Coyle & Sri Kanajan
Tue, Feb 18 8:00pm ET - 11:00pm ET A. Szwec, G. Gandenberger, A. Worsley, W. Kiang Yeo, K. Coyle & Sri Kanajan
Thu, Feb 20 8:00pm ET - 11:00pm ET A. Szwec, G. Gandenberger, A. Worsley, W. Kiang Yeo, K. Coyle & Sri Kanajan
Tue, Feb 25 8:00pm ET - 11:00pm ET A. Szwec, G. Gandenberger, A. Worsley, W. Kiang Yeo, K. Coyle & Sri Kanajan
Thu, Feb 27 8:00pm ET - 11:00pm ET A. Szwec, G. Gandenberger, A. Worsley, W. Kiang Yeo, K. Coyle & Sri Kanajan
Tue, Mar 03 8:00pm ET - 11:00pm ET A. Szwec, G. Gandenberger, A. Worsley, W. Kiang Yeo, K. Coyle & Sri Kanajan
Thu, Mar 05 8:00pm ET - 11:00pm ET A. Szwec, G. Gandenberger, A. Worsley, W. Kiang Yeo, K. Coyle & Sri Kanajan
Tue, Mar 10 8:00pm ET - 11:00pm ET A. Szwec, G. Gandenberger, A. Worsley, W. Kiang Yeo, K. Coyle & Sri Kanajan
Thu, Mar 12 8:00pm ET - 11:00pm ET A. Szwec, G. Gandenberger, A. Worsley, W. Kiang Yeo, K. Coyle & Sri Kanajan
Tue, Mar 17 8:00pm ET - 11:00pm ET A. Szwec, G. Gandenberger, A. Worsley, W. Kiang Yeo, K. Coyle & Sri Kanajan
Thu, Mar 19 8:00pm ET - 11:00pm ET A. Szwec, G. Gandenberger, A. Worsley, W. Kiang Yeo, K. Coyle & Sri Kanajan
Tue, Mar 24 8:00pm ET - 11:00pm ET A. Szwec, G. Gandenberger, A. Worsley, W. Kiang Yeo, K. Coyle & Sri Kanajan
Thu, Mar 26 8:00pm ET - 11:00pm ET A. Szwec, G. Gandenberger, A. Worsley, W. Kiang Yeo, K. Coyle & Sri Kanajan
Tue, Mar 31 8:00pm ET - 11:00pm ET A. Szwec, G. Gandenberger, A. Worsley, W. Kiang Yeo, K. Coyle & Sri Kanajan
Thu, Apr 02 8:00pm ET - 11:00pm ET A. Szwec, G. Gandenberger, A. Worsley, W. Kiang Yeo, K. Coyle & Sri Kanajan
Tue, Apr 07 8:00pm ET - 11:00pm ET A. Szwec, G. Gandenberger, A. Worsley, W. Kiang Yeo, K. Coyle & Sri Kanajan
Thu, Apr 09 8:00pm ET - 11:00pm ET A. Szwec, G. Gandenberger, A. Worsley, W. Kiang Yeo, K. Coyle & Sri Kanajan
Tue, Apr 14 8:00pm ET - 11:00pm ET A. Szwec, G. Gandenberger, A. Worsley, W. Kiang Yeo, K. Coyle & Sri Kanajan
Thu, Apr 16 8:00pm ET - 11:00pm ET A. Szwec, G. Gandenberger, A. Worsley, W. Kiang Yeo, K. Coyle & Sri Kanajan

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General Assembly

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