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

Mon, Oct 11, 6:00pm - Dec 20, 9:00pm Eastern Time (20 sessions)

Next start dates (4)

Important:
Except: Nov 24
Purchase Options
Description
Class Level: All levels
Age Requirements: 18 and older
Average Class Size: 20

Flexible Reschedule Policy: This provider has flexible, free rescheduling for any-in person workshop. Please see the cancellation policy for more details

What you'll learn in this data science course:

This is a part-time data course.  

Skills & Tools: Use Python to mine datasets and predict patterns.

Production Standard: Build statistical models—regression and clarification—that generate usable information from raw data.

The Big Picture: Master the basics of machine learning and harness the power of data to forecast what's next.

In this 11 week course, students learn to build robust predictive models, test their validity, and clearly communicate resulting insights.

Unit 1: Research Design and Exploratory Data Analysis

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
Research Design and Pandas 
  • Define a problem and identify appropriate data sets using the data science workflow 
  • Walkthrough the data science workflow using a case study in the Pandas library 
  • Import, format and clean data using the Pandas Library
Statistics Fundamental I 

  • Use NumPy and Pandas libraries to analyze datasets using basic summary statistics: mean, median, mode, max, min, quartile, inter-quartile, range, variance, standard deviation and correlation 
  • Create data visualization – scatter plots, scatter matrix, line graph, box blots, and histograms – to discern characteristics and trends in a dataset 
  • Identify a normal distribution within a dataset using summary statistics and visualization

Statistics Fundamental II 

  • Explain the difference between causation vs. correlation 
  • Test a hypothesis within a sample case study 
  • Validate your findings using statistical analysis (p-values, confidence intervals)
Instructor Choice

  • Focus on a topic selected by the instructor/class in order to provide deeper insight into exploratory data analysis
Unit 2: Foundations of Data Modeling

Introduction to 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
Introduction to 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

Introduction to 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

Communicate Results from Logistic Regression 

  • Explain the tradeoff between the precision and recall of a model and articulate the cost of false positives vs. false negatives. 
  • Identify the components of a concise, convincing report and how they relate to specific audiences ⁄ stakeholders 
  • Describe the difference between visualization for presentations vs. exploratory data analysis

Flexible Class Session 

  • Focus on a topic selected by the instructor ⁄ class in order to provide deeper insight into data modeling
Unit 3: Data Science in the Real World

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

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
Dimensionality Reduction

  • Explain how to perform a dimensional reduction using topic models 
  • Demonstrate how to refine data using latent dirichlet allocation (LDA) 
  • Extract information from a sample text dataset
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

Creating Models with Time Series Data 

  • Decompose time series data into trend and residual components 
  • Validate and cross-validate data from different data sets 
  • Use the ARIMA model to forecast and detect trends in time series data

The Value of Databases 

  • Describe the use cases for different types of databases 
  • Explain differences between relational databases and document-based databases 
  • Write simple select queries to pull data from a database and use within Pandas

Moving Forward with your Data Science Career 

  • Specify common models used within different industries 
  • Identify the use cases for common models 
  • Discuss next steps and additional resources for data science learning
Flexible Class Session

  • Focus on a topic selected by the instructor⁄class in order to provide deeper insight into data science in the real world

Final Presentations 

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


Remote Learning

This course is available for "remote" learning and will be available to anyone with access to an internet device with a microphone (this includes most models of computers, tablets). Classes will take place with a "Live" instructor at the date/times listed below.

Upon registration, the instructor will send along additional information about how to log-on and participate in the class.

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.

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General Assembly

All classes at this location

Registered participants will be notified 24 hours in advance of this program with information on how to log in to the Zoom Meeting Room and other tools you’ll need for the session.

Start Dates (5)
Start Date Time Teacher # Sessions Price
6:00pm - 9:00pm Eastern Time Ian Hansel, Amy Roberts & Gianluca Campanella 20 $3,950
This course consists of multiple sessions, view schedule for sessions.
Wed, Oct 13 6:00pm - 9:00pm Eastern Time Ian Hansel, Amy Roberts & Gianluca Campanella
Mon, Oct 18 6:00pm - 9:00pm Eastern Time Ian Hansel, Amy Roberts & Gianluca Campanella
Wed, Oct 20 6:00pm - 9:00pm Eastern Time Ian Hansel, Amy Roberts & Gianluca Campanella
Mon, Oct 25 6:00pm - 9:00pm Eastern Time Ian Hansel, Amy Roberts & Gianluca Campanella
Wed, Oct 27 6:00pm - 9:00pm Eastern Time Ian Hansel, Amy Roberts & Gianluca Campanella
Mon, Nov 01 6:00pm - 9:00pm Eastern Time Ian Hansel, Amy Roberts & Gianluca Campanella
Wed, Nov 03 6:00pm - 9:00pm Eastern Time Ian Hansel, Amy Roberts & Gianluca Campanella
Mon, Nov 08 6:00pm - 9:00pm Eastern Time Ian Hansel, Amy Roberts & Gianluca Campanella
Wed, Nov 10 6:00pm - 9:00pm Eastern Time Ian Hansel, Amy Roberts & Gianluca Campanella
Mon, Nov 15 6:00pm - 9:00pm Eastern Time Ian Hansel, Amy Roberts & Gianluca Campanella
Wed, Nov 17 6:00pm - 9:00pm Eastern Time Ian Hansel, Amy Roberts & Gianluca Campanella
Mon, Nov 22 6:00pm - 9:00pm Eastern Time Ian Hansel, Amy Roberts & Gianluca Campanella
Mon, Nov 29 6:00pm - 9:00pm Eastern Time Ian Hansel, Amy Roberts & Gianluca Campanella
Wed, Dec 01 6:00pm - 9:00pm Eastern Time Ian Hansel, Amy Roberts & Gianluca Campanella
Mon, Dec 06 6:00pm - 9:00pm Eastern Time Ian Hansel, Amy Roberts & Gianluca Campanella
Wed, Dec 08 6:00pm - 9:00pm Eastern Time Ian Hansel, Amy Roberts & Gianluca Campanella
Mon, Dec 13 6:00pm - 9:00pm Eastern Time Ian Hansel, Amy Roberts & Gianluca Campanella
Wed, Dec 15 6:00pm - 9:00pm Eastern Time Ian Hansel, Amy Roberts & Gianluca Campanella
Mon, Dec 20 6:00pm - 9:00pm Eastern Time Ian Hansel, Amy Roberts & Gianluca Campanella
8:00pm - 11:00pm Eastern Time Ian Hansel, Amy Roberts & Gianluca Campanella 21 $3,950
This course consists of multiple sessions, view schedule for sessions.
Thu, Oct 21 8:00pm - 11:00pm Eastern Time Ian Hansel, Amy Roberts & Gianluca Campanella
Tue, Oct 26 8:00pm - 11:00pm Eastern Time Ian Hansel, Amy Roberts & Gianluca Campanella
Thu, Oct 28 8:00pm - 11:00pm Eastern Time Ian Hansel, Amy Roberts & Gianluca Campanella
Tue, Nov 02 8:00pm - 11:00pm Eastern Time Ian Hansel, Amy Roberts & Gianluca Campanella
Thu, Nov 04 8:00pm - 11:00pm Eastern Time Ian Hansel, Amy Roberts & Gianluca Campanella
Tue, Nov 09 8:00pm - 11:00pm Eastern Time Ian Hansel, Amy Roberts & Gianluca Campanella
Thu, Nov 11 8:00pm - 11:00pm Eastern Time Ian Hansel, Amy Roberts & Gianluca Campanella
Tue, Nov 16 8:00pm - 11:00pm Eastern Time Ian Hansel, Amy Roberts & Gianluca Campanella
Thu, Nov 18 8:00pm - 11:00pm Eastern Time Ian Hansel, Amy Roberts & Gianluca Campanella
Tue, Nov 23 8:00pm - 11:00pm Eastern Time Ian Hansel, Amy Roberts & Gianluca Campanella
Tue, Nov 30 8:00pm - 11:00pm Eastern Time Ian Hansel, Amy Roberts & Gianluca Campanella
Thu, Dec 02 8:00pm - 11:00pm Eastern Time Ian Hansel, Amy Roberts & Gianluca Campanella
Tue, Dec 07 8:00pm - 11:00pm Eastern Time Ian Hansel, Amy Roberts & Gianluca Campanella
Thu, Dec 09 8:00pm - 11:00pm Eastern Time Ian Hansel, Amy Roberts & Gianluca Campanella
Tue, Dec 14 8:00pm - 11:00pm Eastern Time Ian Hansel, Amy Roberts & Gianluca Campanella
Thu, Dec 16 8:00pm - 11:00pm Eastern Time Ian Hansel, Amy Roberts & Gianluca Campanella
Tue, Dec 21 8:00pm - 11:00pm Eastern Time Ian Hansel, Amy Roberts & Gianluca Campanella
Thu, Dec 23 8:00pm - 11:00pm Eastern Time Ian Hansel, Amy Roberts & Gianluca Campanella
Tue, Jan 04 8:00pm - 11:00pm Eastern Time Ian Hansel, Amy Roberts & Gianluca Campanella
Thu, Jan 06 8:00pm - 11:00pm Eastern Time Ian Hansel, Amy Roberts & Gianluca Campanella
6:00pm - 9:00pm Eastern Time Ian Hansel, Amy Roberts & Gianluca Campanella 21 $3,950
This course consists of multiple sessions, view schedule for sessions.
Wed, Nov 10 6:00pm - 9:00pm Eastern Time Ian Hansel, Amy Roberts & Gianluca Campanella
Mon, Nov 15 6:00pm - 9:00pm Eastern Time Ian Hansel, Amy Roberts & Gianluca Campanella
Wed, Nov 17 6:00pm - 9:00pm Eastern Time Ian Hansel, Amy Roberts & Gianluca Campanella
Mon, Nov 22 6:00pm - 9:00pm Eastern Time Ian Hansel, Amy Roberts & Gianluca Campanella
Mon, Nov 29 6:00pm - 9:00pm Eastern Time Ian Hansel, Amy Roberts & Gianluca Campanella
Wed, Dec 01 6:00pm - 9:00pm Eastern Time Ian Hansel, Amy Roberts & Gianluca Campanella
Mon, Dec 06 6:00pm - 9:00pm Eastern Time Ian Hansel, Amy Roberts & Gianluca Campanella
Wed, Dec 08 6:00pm - 9:00pm Eastern Time Ian Hansel, Amy Roberts & Gianluca Campanella
Mon, Dec 13 6:00pm - 9:00pm Eastern Time Ian Hansel, Amy Roberts & Gianluca Campanella
Wed, Dec 15 6:00pm - 9:00pm Eastern Time Ian Hansel, Amy Roberts & Gianluca Campanella
Mon, Dec 20 6:00pm - 9:00pm Eastern Time Ian Hansel, Amy Roberts & Gianluca Campanella
Wed, Dec 22 6:00pm - 9:00pm Eastern Time Ian Hansel, Amy Roberts & Gianluca Campanella
Mon, Jan 03 6:00pm - 9:00pm Eastern Time Ian Hansel, Amy Roberts & Gianluca Campanella
Wed, Jan 05 6:00pm - 9:00pm Eastern Time Ian Hansel, Amy Roberts & Gianluca Campanella
Mon, Jan 10 6:00pm - 9:00pm Eastern Time Ian Hansel, Amy Roberts & Gianluca Campanella
Wed, Jan 12 6:00pm - 9:00pm Eastern Time Ian Hansel, Amy Roberts & Gianluca Campanella
Mon, Jan 17 6:00pm - 9:00pm Eastern Time Ian Hansel, Amy Roberts & Gianluca Campanella
Wed, Jan 19 6:00pm - 9:00pm Eastern Time Ian Hansel, Amy Roberts & Gianluca Campanella
Mon, Jan 24 6:00pm - 9:00pm Eastern Time Ian Hansel, Amy Roberts & Gianluca Campanella
Wed, Jan 26 6:00pm - 9:00pm Eastern Time Ian Hansel, Amy Roberts & Gianluca Campanella
7:00pm - 10:00pm Eastern Time Amy Roberts, Gianluca Campanella, Ian Hansel 20 $3,950
This course consists of multiple sessions, view schedule for sessions.
Thu, Dec 02 7:00pm - 10:00pm Eastern Time Amy Roberts, Gianluca Campanella, Ian Hansel
Tue, Dec 07 7:00pm - 10:00pm Eastern Time Amy Roberts, Gianluca Campanella, Ian Hansel
Thu, Dec 09 7:00pm - 10:00pm Eastern Time Amy Roberts, Gianluca Campanella, Ian Hansel
Tue, Dec 14 7:00pm - 10:00pm Eastern Time Amy Roberts, Gianluca Campanella, Ian Hansel
Thu, Dec 16 7:00pm - 10:00pm Eastern Time Amy Roberts, Gianluca Campanella, Ian Hansel
Tue, Dec 21 7:00pm - 10:00pm Eastern Time Amy Roberts, Gianluca Campanella, Ian Hansel
Thu, Dec 23 7:00pm - 10:00pm Eastern Time Amy Roberts, Gianluca Campanella, Ian Hansel
Tue, Jan 04 7:00pm - 10:00pm Eastern Time Amy Roberts, Gianluca Campanella, Ian Hansel
Thu, Jan 06 7:00pm - 10:00pm Eastern Time Amy Roberts, Gianluca Campanella, Ian Hansel
Tue, Jan 11 7:00pm - 10:00pm Eastern Time Amy Roberts, Gianluca Campanella, Ian Hansel
Thu, Jan 13 7:00pm - 10:00pm Eastern Time Amy Roberts, Gianluca Campanella, Ian Hansel
Tue, Jan 18 7:00pm - 10:00pm Eastern Time Amy Roberts, Gianluca Campanella, Ian Hansel
Thu, Jan 20 7:00pm - 10:00pm Eastern Time Amy Roberts, Gianluca Campanella, Ian Hansel
Tue, Jan 25 7:00pm - 10:00pm Eastern Time Amy Roberts, Gianluca Campanella, Ian Hansel
Thu, Jan 27 7:00pm - 10:00pm Eastern Time Amy Roberts, Gianluca Campanella, Ian Hansel
Tue, Feb 01 7:00pm - 10:00pm Eastern Time Amy Roberts, Gianluca Campanella, Ian Hansel
Thu, Feb 03 7:00pm - 10:00pm Eastern Time Amy Roberts, Gianluca Campanella, Ian Hansel
Tue, Feb 08 7:00pm - 10:00pm Eastern Time Amy Roberts, Gianluca Campanella, Ian Hansel
Thu, Feb 10 7:00pm - 10:00pm Eastern Time Amy Roberts, Gianluca Campanella, Ian Hansel
8:00pm - 11:00pm Eastern Time Ian Hansel, Amy Roberts & Gianluca Campanella 20 $3,950
This course consists of multiple sessions, view schedule for sessions.
Wed, Dec 15 8:00pm - 11:00pm Eastern Time Ian Hansel, Amy Roberts & Gianluca Campanella
Mon, Dec 20 8:00pm - 11:00pm Eastern Time Ian Hansel, Amy Roberts & Gianluca Campanella
Wed, Dec 22 8:00pm - 11:00pm Eastern Time Ian Hansel, Amy Roberts & Gianluca Campanella
Mon, Jan 03 8:00pm - 11:00pm Eastern Time Ian Hansel, Amy Roberts & Gianluca Campanella
Wed, Jan 05 8:00pm - 11:00pm Eastern Time Ian Hansel, Amy Roberts & Gianluca Campanella
Mon, Jan 10 8:00pm - 11:00pm Eastern Time Ian Hansel, Amy Roberts & Gianluca Campanella
Wed, Jan 12 8:00pm - 11:00pm Eastern Time Ian Hansel, Amy Roberts & Gianluca Campanella
Wed, Jan 19 8:00pm - 11:00pm Eastern Time Ian Hansel, Amy Roberts & Gianluca Campanella
Mon, Jan 24 8:00pm - 11:00pm Eastern Time Ian Hansel, Amy Roberts & Gianluca Campanella
Wed, Jan 26 8:00pm - 11:00pm Eastern Time Ian Hansel, Amy Roberts & Gianluca Campanella
Mon, Jan 31 8:00pm - 11:00pm Eastern Time Ian Hansel, Amy Roberts & Gianluca Campanella
Wed, Feb 02 8:00pm - 11:00pm Eastern Time Ian Hansel, Amy Roberts & Gianluca Campanella
Mon, Feb 07 8:00pm - 11:00pm Eastern Time Ian Hansel, Amy Roberts & Gianluca Campanella
Wed, Feb 09 8:00pm - 11:00pm Eastern Time Ian Hansel, Amy Roberts & Gianluca Campanella
Mon, Feb 14 8:00pm - 11:00pm Eastern Time Ian Hansel, Amy Roberts & Gianluca Campanella
Wed, Feb 16 8:00pm - 11:00pm Eastern Time Ian Hansel, Amy Roberts & Gianluca Campanella
Wed, Feb 23 8:00pm - 11:00pm Eastern Time Ian Hansel, Amy Roberts & Gianluca Campanella
Mon, Feb 28 8:00pm - 11:00pm Eastern Time Ian Hansel, Amy Roberts & Gianluca Campanella
Wed, Mar 02 8:00pm - 11:00pm Eastern Time Ian Hansel, Amy Roberts & Gianluca Campanella

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