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Python for Data Science Bootcamp

Master Python programming for data science and unlock the potential of machine learning at the NYC Career Centers. Learn the fundamentals, work with data types, explore conditional statements, analyze and visualize data, and develop machine learning models using Python. Elevate your data science skills with this comprehensive bootcamp.

  • Level All levels
  • Age 18 and older
  • Price $1,495
  • Location Interactive Online Classroom
Python for Data Science Bootcamp

Start Dates (9)

  • $1,495
  • Interactive Online Classroom
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  • Mon, Mar 18 at 10:00am - 5:00pm
  • Tue, Mar 19 at 10:00am - 5:00pm
  • Wed, Mar 20 at 10:00am - 5:00pm
  • Thu, Mar 21 at 10:00am - 5:00pm
  • Fri, Mar 22 at 10:00am - 5:00pm
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  • Sat, Mar 30 at 10:00am - 5:00pm
  • Sat, Apr 06 at 10:00am - 5:00pm
  • Sat, Apr 13 at 10:00am - 5:00pm
  • Sat, Apr 20 at 10:00am - 5:00pm
  • Sat, Apr 27 at 10:00am - 5:00pm
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  • Mon, Apr 15 at 10:00am - 5:00pm
  • Tue, Apr 16 at 10:00am - 5:00pm
  • Wed, Apr 17 at 10:00am - 5:00pm
  • Thu, Apr 18 at 10:00am - 5:00pm
  • Fri, Apr 19 at 10:00am - 5:00pm
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  • Wed, Apr 17 at 6:00pm - 9:00pm
  • Wed, Apr 24 at 6:00pm - 9:00pm
  • Wed, May 01 at 6:00pm - 9:00pm
  • Mon, May 06 at 6:00pm - 9:00pm
  • Wed, May 08 at 6:00pm - 9:00pm
  • Mon, May 13 at 6:00pm - 9:00pm
  • Wed, May 15 at 6:00pm - 9:00pm
  • Mon, May 20 at 6:00pm - 9:00pm
  • Wed, May 22 at 6:00pm - 9:00pm
  • Wed, May 29 at 6:00pm - 9:00pm
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  • Mon, May 20 at 10:00am - 5:00pm
  • Tue, May 21 at 10:00am - 5:00pm
  • Wed, May 22 at 10:00am - 5:00pm
  • Tue, May 28 at 10:00am - 5:00pm
  • Wed, May 29 at 10:00am - 5:00pm
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  • Mon, Jun 17 at 10:00am - 5:00pm
  • Tue, Jun 18 at 10:00am - 5:00pm
  • Wed, Jun 19 at 10:00am - 5:00pm
  • Thu, Jun 20 at 10:00am - 5:00pm
  • Fri, Jun 21 at 10:00am - 5:00pm
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  • Mon, Jul 15 at 10:00am - 5:00pm
  • Tue, Jul 16 at 10:00am - 5:00pm
  • Wed, Jul 17 at 10:00am - 5:00pm
  • Thu, Jul 18 at 10:00am - 5:00pm
  • Fri, Jul 19 at 10:00am - 5:00pm
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Show all 10 sessions
  • Thu, Aug 15 at 6:00pm - 9:00pm
  • Tue, Aug 20 at 6:00pm - 9:00pm
  • Thu, Aug 22 at 6:00pm - 9:00pm
  • Tue, Aug 27 at 6:00pm - 9:00pm
  • Thu, Aug 29 at 6:00pm - 9:00pm
  • Tue, Sep 03 at 6:00pm - 9:00pm
  • Thu, Sep 05 at 6:00pm - 9:00pm
  • Tue, Sep 10 at 6:00pm - 9:00pm
  • Thu, Sep 12 at 6:00pm - 9:00pm
  • Tue, Sep 17 at 6:00pm - 9:00pm
20 seats left
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Show all 5 sessions
  • Mon, Aug 19 at 10:00am - 5:00pm
  • Tue, Aug 20 at 10:00am - 5:00pm
  • Wed, Aug 21 at 10:00am - 5:00pm
  • Thu, Aug 22 at 10:00am - 5:00pm
  • Fri, Aug 23 at 10:00am - 5:00pm
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Class Description

Description

What you'll learn in this python class:

Our Python for Data Science Bootcamp is meant to go from the very basics of Python programming to the start of machine learning with Python. In this Bootcamp, you’ll learn how and why Python is used for data science, how to create programs, work with data in Python, create data visualizations, and use statistics to create machine learning models. 

Python Fundamentals

The course will start with the fundamentals of Python, including writing basic statements and expressions, creating variables, understanding different data types, working with lists, indexing and slicing lists, using functions and methods, and more. Concepts such as object-oriented programming and IDLE programming are introduced.

Once a learning environment has been set up, we will work with different data types such as strings, lists, dictionaries, and tuples. Each data type has its own particular purpose and knowing when to use each one will be essential.

Structuring Programs

The second part of the course covers conditional statements and control flow tools. This includes the If/Else Statements, Boolean Operations, and different types of loops. These topics create a large portion of the logic in your code and this course will help you master these concepts. Learn to work with dictionaries, create functions, write for loops to iterate through data, and work with packages in Python. 

Arrays & Dataframes

The third part of the course introduces operations and tools for data science. We will learn how to import and clean data using NumPy and Pandas. You’ll learn to work with Pandas dataframes, wrangle data, and get descriptive statistics for your data.

Analyzing & Visualizing Data

You’ll learn to analyze and visualize data with key data science libraries including Pandas, NumPy, and Matplotlib. Learn to filter and clean data, group and pivot data, and start generating insights from your data with exploratory data analysis. Then create visualizations including bar charts, histograms, and advanced visualization for easy interpretation and sharing of your data insights. 

Linear Regression

Once we know how to clean our data and conduct EDA, the course will cover data science workflows and fundamental statistics. These topics are critical in ensuring that the data you are using to train your models is not biased. You’ll learn how to use statistics to develop machine learning models. Start building models and evaluating them on your way to machine learning. 

Next Steps

After learning all the foundational Python programming and data analysis skills in this Bootcamp, you will be ready to dive fully into machine learning.

Our Python Machine Learning Bootcamp builds off this foundational knowledge to turn you into a full machine learning data scientist. Pick up right where the Python for Data Science Bootcamp left off with advanced statistics and create machine learning models with logistic regressions, k-nearest neighbors, and decision trees.

Learn more about Python for Data Science Bootcamp at NYC Career Centers.

  

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.

Also available in-person in NYC

Syllabus

Python Fundamentals

Data Types & Variables

  • Statements & Expressions
  • Variables
  • Integers & Floats
  • Strings

Data Structures & Attributes

  • Functions & Methods
  • Lists
  • Indexing & Slicing
  • Booleans

Structuring Programs

Complex Data Structures & Control Flow

  • Dictionaries
  • Conditional Statements
  • For Loops
  • Creating Functions

Packages & Object Oriented Programming

  • Classes & Objects
  • Modules & Imports
  • Packages & Documentation

Arrays & Dataframes

Numpy

  • Arrays
  • Universal Functions
  • Boolean Indexing

Pandas

  • Pandas Dataframes
  • Pandas Series & dtypes
  • Column Manipulation
  • Descriptive Statistics

Analyzing & Visualizing Data

Data Analysis

  • Filtering & Cleaning Data
  • Groupby Operations
  • Pivot Tables

Data Visualization

  • Plotting with Matplotlib
  • Bar Charts
  • Scatter Plots
  • Histograms
  • Customizing Visualizations

Refund Policy

  • Students may cancel up to 11 business days before the class/program start date and receive a refund, less the registration fee (10% of the undiscounted course price).
  • Cancellations within 11 business days are not permitted, but students may reschedule up to 4 business days before the class start date.

For cancellations and reschedules, please email us at [email protected]

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NYC Career Centers

Since 1988, Career Centers has been a leader in software training courses for individuals and businesses, including Microsoft Excel, VBA, PowerPoint, SQL Server, Adobe Photoshop, InDesign, Illustrator, and AutoCAD.

Our courses are instructor-led in small class sizes, located in our state-of-the-art training...

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