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Python for Data Science Bootcamp

Master the Python programming language and learn advanced techniques for data visualization and machine learning in this data science bootcamp. Explore the fundamentals of Python before diving into the powerful tools of Pandas, Matplotlib, and Sci-Kit learn for analyzing and visualizing data. Take your data science skills to the next level at NYIM Training.

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  • 18 and older
  • $1,495
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  • 185 Madison Ave, New York, NY & Virtually Online
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  • Mon, Dec 23 at 6:00pm - 9:00pm
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  • Mon, Jan 06 at 10:00am - 5:00pm
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  • Mon, Jan 27 at 10:00am - 5:00pm
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  • Mon, Feb 10 at 10:00am - 5:00pm
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  • Fri, Feb 14 at 10:00am - 5:00pm
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  • Mon, Mar 17 at 10:00am - 5:00pm
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  • Wed, Mar 19 at 10:00am - 5:00pm
  • Thu, Mar 20 at 10:00am - 5:00pm
  • Fri, Mar 21 at 10:00am - 5:00pm
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Class Description

Description

What you'll learn in this python class:

Learn the fundamentals of Python like loops and functions, and build up to more advanced programming techniques for data visualization and machine learning.

Python is by far the most popular language used by programmers for data science, and it is also quite popular in web applications and game development. Python is considered a high-level programming language, but with its easy syntax and robust documentation, it is considered one of the easiest languages for beginners to learn.

In this 5-day hands-on Python course, you'll learn the fundamentals of Python, and then you'll transition into more complicated programming tasks. We'll focus heavily on data science using Pandas, Matplotlib, and Sci-Kit learn. With these packages, you'll learn how to input, analyze, and make visual representations of data.

Related Classes: You may also be interested in our Data Science Certificate or our other data analytics classes, including SQLExcel, and Tableau

This Python Bootcamp is offered at Noble Desktop, our coding school in NYC.

Learn more about Python for Data Science Bootcamp at NYIM Training.

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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We are located in New York City on 34th street and Madison Avenue, a few blocks from Penn Station, Port Authority and Times Square. You may also attend this class live online (virtual training) via Zoom. We will reach out with additional information, including the Zoom info and class files.

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