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Python Programming Level 3: Data Analysis Using Python

$1495 | 3-Day Course

Learn how to clean, visualize, and model data using Python in this hands-on course.

Course Overview

The Python Programming Level 3: Data Analysis Using Python course teaches students how to analyze and visualize real-world data using Pandas, Seaborn, and JupyterLab.

The class will cover the following topics:
  • Using JupyterLab and Magic Commands for data analysis workflows
  • Working with Pandas DataFrames for data manipulation
  • Creating data visualizations using Pandas and Seaborn
  • Importing and cleaning data from various sources including JSON and Stata
  • Handling missing values, data types, and outliers
  • Preparing data with functions, indexes, and DataFrame combinations
  • Analyzing time‑series data and performing aggregations
  • Building linear and multiple regression models using Scikit‑learn

This class is ideal for students who want to build practical data analysis skills using Python and prepare for advanced data science work.

Python Training

TARGETED FOR: Programmers | Application Developer | Data Scientist

Learn from Professional Instructors and move forward in your field with industry-aligned Python training.

+ Full Course Details
Overview
  • The course teaches students how to apply Python programming to complex data analysis tasks.
  • Topics include working with Pandas, Seaborn, and JupyterLab to clean, visualize, and model data.
  • Students will learn how to acquire, transform, and analyze real‑world data, including time‑series data.
  • The course also introduces linear regression modeling for predictive analysis.
Objective
  • Use JupyterLab as an IDE for Python data analysis projects
  • Manipulate and analyze data using Pandas DataFrames
  • Create compelling data visualizations using Pandas and Seaborn
  • Import and clean data from various file types
  • Build predictive models using linear and multiple regression techniques
Target Student
  • Students with foundational Python programming skills
  • Programmers and analysts seeking to use Python for data work
  • Anyone interested in learning data analysis and predictive modeling techniques
Prerequisites
  • Basic experience with Python programming
  • Comfortable working with strings, lists, tuples, dictionaries, loops, and functions
+ Course Delivery Format
Virtual Instructor-Led

All of our Public Classes are taught by a virtual live instructor. How it works is a live instructor conducts the class from a remote location regardless if you attend at one of the local training centers or if you attend remotely.

For of Private Group Training classes we can arrange to have the instructor conduct the class live at your location. Need Group Training?

+ What's Included

  • Professional Instructor Delivery - You will learn with our expert trainers with over 15 years of experience.
  • Free Course Materials - You will receive free reference materials for your class.
  • Small Class Sizes - Our classes are limited to 12 students, so you have plently of opportunity to ask questions and get feedback from the instructor.
  • Free Repeat - If you need a refresher your are able to retake the class free of charge within one year of your original class date.
  • Hands-On Training - Our classes are designed for you work hands on during the session so can stay engaged and really learn the material.
  • Certificate of Completion - Each student will receive a certificate of completion after completing the course.

+ Course Outline
  • Introduction to Python for data analysis
    • What data analysis is
    • The Python skills that you need for data analysis
    • How to use JupyterLab as your IDE
    • How to split the screen between two Notebooks
    • How to use Magic Commands
  • The Pandas essentials for data analysis
    • Introduction to the Pandas DataFrame
    • How to examine the data
    • How to access the columns and rows
    • How to work with the data
    • How to shape the data
    • How to analyze the data
  • The Pandas essentials for data visualization
    • Introduction to data visualization
    • How to create 8 types of plots
    • How to enhance a plot
  • The Seaborn essentials for data visualization
    • Introduction to Seaborn
    • How to enhance and save plots
    • How to create relational plots
    • How to create categorical plots
    • How to create distribution plots
    • Other techniques for enhancing a plot
  • How to get the data
    • How to find the data that you want to analyze
    • How to import data into a DataFrame
    • How to get database data into a DataFrame
    • How to work with a Stata file
    • How to work with a JSON file
  • How to clean the data
    • Introduction to data cleaning
    • How to simplify the data
    • How to find and fix missing values
    • How to fix data type problems
    • How to find and fix outliers
  • How to prepare the data
    • How to add and modify columns
    • How to apply functions and lambda expressions
    • How to work with indexes
    • How to combine DataFrames
    • How to handle the SettingWithCopyWarning
  • How to analyze the data
    • How to create and plot long data
    • How to group and aggregate the data
    • How to create and use pivot tables
    • How to work with bins
  • More skills for data analysis
    • How to analyze time‑series data
    • How to reindex time‑series data
    • How to resample time‑series data
    • How to work with rolling windows
    • How to work with running totals
  • How to make predictions with a linear regression model
    • Introduction to predictive analysis
    • How to find correlations between variables
    • How to use Scikit‑learn to work with a linear regression
    • How to plot regression models with Seaborn
    • How to make predictions with a multiple regression model
    • A simple regression model for a Cars dataset
    • How to work with a multiple regression model
    • How to work with categorical variables
    • How to improve a multiple regression model
+ Prerequisites

Please check the course description to find prerequisite information.

+ Related Courses

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As part of our commitment to supporting learners at every stage, we’re working to develop a library of free Python tutorials designed to help you tackle common tasks and workflows. We understand that not every situation calls for a full course, so these resources offer quick, practical guidance to help you get the job done efficiently.

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Learn with experienced professionally certified trainers that are subject matter experts.

Free Repeat

You have the option to retake this class one time within a year of your original class date.

Hands-On Training

Our courses are all designed for the students to have hands-on interaction throughout the course.

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Python Programming Level 3: Data Analysis Using Python

SAVE 10% FOR A LIMITED TIME

$1495 / 3 Day Course



  • Professional Instructors
  • Official Course Materials
  • Small Class Sizes
  • Financing Available

Course Schedule

Course Title Dates Times Location Fee
Python Programming Level 3: Data Analysis Using Python 11/24/2025 – 11/26/2025 10:00AM-4:45PM EST Local/Remote $1,495.00
Python Programming Level 3: Data Analysis Using Python 12/29/2025 – 12/31/2025 10:00AM-4:45PM EST Local/Remote $1,495.00
Python Programming Level 3: Data Analysis Using Python 1/21/2026 – 1/23/2026 10:00AM-4:45PM EST Local/Remote $1,495.00
Python Programming Level 3: Data Analysis Using Python 2/16/2026 – 2/18/2026 10:00AM-4:45PM EST Local/Remote $1,495.00
Python Programming Level 3: Data Analysis Using Python 3/18/2026 – 3/20/2026 10:00AM-4:45PM EST Local/Remote $1,495.00

Related Python Instructor-Led Courses

Click Class Title for Dates and Details Days Course Fee
Python for Network & System Administrators4$2595
Introduction to Python Programming for Security Analysts & Professionals4$2595
FAST TRACK TO PYTHON IN DATA SCIENCE3$1995
Applied Python for Data Science & Engineering4$2595
Next Level Python for Data Science | Working with Libraries, Frameworks, and Visualization Tools5$2695
Machine Learning Essentials with Python3$2395
Full Stack Web Development with Python and Django5$2595
Advanced Python5$2495
Enterprise Python4$2195
Python Foundations3$2095
Build and Implement APIs with Python4$1995
Python Programming Level 1: Introduction for Non-Programmers4$1595
Python Programming Level 1: Introduction for Programmers3$1195
Python Programming Level 2: Advanced Programming Techniques2$995

As part of our commitment to supporting learners at every stage, we’re working to develop a library of free Python tutorials designed to help you tackle common tasks and workflows. We understand that not every situation calls for a full course, so these resources offer quick, practical guidance to help you get the job done efficiently.

Available Python On-Demand Courses

Course Title (Click For Details) Course Fee
Python Programming On-Demand: Level 2-Advanced Programming Techniques$495
Python Programming On-Demand: Level 1-Introduction for Programmers$495
Python Programming On-Demand: Comprehensive (Introduction for Programmers & Advanced Programming Techniques)$895
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Python certifications are a powerful way to validate your Python skills, and gain recognition as a trusted expert in the field. Whether you're an individual looking to boost your career or an organization investing in team development, our courses are designed to help you earn these industry-recognized credentials.

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  • Mobile devices, peripherals & printing
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This certification is ideal for individuals starting an IT career path or transitioning from another field into technical support and help desk roles.

learn more →
CompTIA A+ (Core 1 & Core 2) – V15

This certification equips students with the skills required to install, configure, secure, and troubleshoot today’s devices and operating systems in business environments.

Topics Include:

  • PC hardware installation & configuration
  • Wired/Wireless networking fundamentals & SOHO setup
  • Operating systems – Windows, macOS, Linux & mobile OS basics
  • Security best practices for endpoints & small networks
  • Virtualization & cloud computing concepts
  • Mobile devices, peripherals & printing
  • Troubleshooting methodology for hardware, OS, and networks
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This certification is ideal for individuals starting an IT career path or transitioning from another field into technical support and help desk roles.

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Choose the training experience that fits your schedule, learning style, and professional goals. We offer flexible options for individuals and teams—whether you prefer virtual live instruction, on-demand access, or private group training.

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This was the class I needed. The instructor Jeff took his time and made sure we understood each topic before moving to the next. He answered all of our questions, and I don’t know about the rest of the students, but was very pleased with this experience.

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Yale New Haven Hospital

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