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Python for Data Science
Duration
3 Days
Course
UT-300200706
Available Formats
Online Training
Course Description
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.
Objectives
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.
Audience
<p>Intermediate Python developers looking to use Python to explore and visualize large or complex data sets. Check out our <a href='https://www.newhorizons.com/course-outline/courseid/300200705/coursename/introduction-to-python' target='_blank'>Introduction to Python course</a> if you’re new to Python.</p>
Prerequisites
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To be successful in this course, learners should have the level of knowledge and experience gained from Introduction to Python
Self-Paced Training Info
Learn at your own pace with anytime, anywhere training
- Same in-demand topics as instructor-led public and private classes.
- Standalone learning or supplemental reinforcement.
- e-Learning content varies by course and technology.
- View the Self-Paced version of this outline and what is included in the SPVC course.
- Learn more about e-Learning
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title
Please take a moment to fill out this form. We will get back to you as soon as possible.
All fields marked with an asterisk (*) are mandatory.