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Python for Data Science

Did you know that data professionals spend up to 80% of their time cleaning and preparing data? Python is the industry’s go-to language for streamlining this process, making it an essential tool for anyone looking to analyze, visualize, and derive insights from data. Master the complete data science tech stack essential for landing a job at the world’s leading companies. This Python for Data Science course takes a structured, in-depth approach, helping you not only learn how to apply data science but also why it matters. Through a carefully balanced mix of real-world case studies and the mathematical theory behind key data science algorithms, you’ll develop both the practical skills and foundational understanding needed to excel in the field. Please note, this course is able to be offered in either 3 full day sessions or 5 evening sessions. See the schedule below.
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Course Details

Price:

$1,795.00

Days:

3

Location:

Virtual

Course Overview

Did you know that data professionals spend up to 80% of their time cleaning and preparing data? Python is the industry’s go-to language for streamlining this process, making it an essential tool for anyone looking to analyze, visualize, and derive insights from data. Master the complete data science tech stack essential for landing a job at the world’s leading companies. This Python for Data Science course takes a structured, in-depth approach, helping you not only learn how to apply data science but also why it matters. Through a carefully balanced mix of real-world case studies and the mathematical theory behind key data science algorithms, you’ll develop both the practical skills and foundational understanding needed to excel in the field. Please note, this course is able to be offered in either 3 full day sessions or 5 evening sessions. See the schedule below.
  • Scroll right to view Objectives, Prerequisites, and Agenda

The Python for Data Science course teaches the fundamentals of Python for data analysis and visualization. Participants will work with key libraries like Pandas, NumPy, Matplotlib, and Seaborn to clean, transform, and analyze data. They will create interactive visualizations to communicate insights effectively and apply their skills through hands-on projects using Jupyter Notebook and real-world datasets.

To be successful in this course, learners should have the level of knowledge and experience gained from Introduction to Python

  • Python
  • Jupyter notebooks
  • Numpy
  • Pandas
  • Matplotlib
  • Machine Learning concepts
  • Supervised vs Unsupervised Learning
  • Types of Machine Learning – Classification vs Regression
  • Evaluation
  • Machine Learning Methods – All in Theory and Practice
  • Linear Regression
  • Logistic Regression
  • K Nearest Neighbors
  • Support Vector Machine
  • Decision Trees
  • Unsupervised Learning Methods
  • Feature Engineering and Data Preparation
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Class Dates & Times
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03/04/2026 - 03/06/2026
Virtual
09:00:00 to 17:00:00 EST
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$1,795.00
06/17/2026 - 06/19/2026
Virtual
09:00:00 to 17:00:00 EST
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$1,795.00
10/20/2025 - 10/22/2025
Virtual
09:00:00 to 17:00:00 EST
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$1,795.00
12/08/2025 - 12/10/2025
Virtual
09:00:00 to 17:00:00 EST
Enroll Now
$1,795.00
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