Python for Data Science

Name: Python for Data Science
Price: 1795.00 USD
Availability: InStock
Rating: 4.5 (1200 reviews)

Price
$1,795.00 USD

Duration
3 Days

Delivery Methods
Virtual Instructor Led
Private Group

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Course Overview

Data Science is the critical skill of the modern workforce. Data science skills allow for the extraction of key insights and relevant knowledge from large datasets. This data science training course is for Python developers who want to learn how to use the key libraries in the Python Data Science ecosystem. This course covers NumPy for numerical data processing, Pandas for data analysis, and Matplotlib and Seaborn for quick visualizations and statistical reporting. The training is all conducted in a modern Jupyter Notebook format, allowing students to read and write code directly within our training notebooks.

You’ll learn everything you need to know for the full data science tech stack required to work at the world’s top companies. This Python for Data Science course takes a structured approach that will guide you through understanding not just how to use data science, but why we use them by providing a balance between practical real world case studies and mathematical theory behind the data science algorithms.

Please note, this course is able to be offered in either 3 full day sessions or 5 evening sessions. See the schedule below.

This course includes 6-months access to the full course content in on-demand format to support post-class reference and review.

Course Objectives

Learn how to use data science with Python.
Create data pipeline workflows to analyze, visualize, and gain insights from data.
Build a portfolio of data science projects with real world data.
Analyze your own data sets and gain insights through data science.
Master critical data science skills.
Replicate real-world situations and data reports.
Learn NumPy for numerical processing with Python.
Conduct feature engineering on real world case studies.
Learn Pandas for data manipulation with Python.
Learn Matplotlib to create fully customized data visualizations with Python.
Learn Seaborn to create beautiful statistical plots with Python.
Construct a modern portfolio of data science resume projects.
Get set-up quickly with the Anaconda data science stack environment.

Who Should Attend?

Intermediate Python developers looking to use Python to explore and visualize large or complex data sets. Check out our Introduction to Python course if you’re new to Python.

Top-rated instructors: Our crew of subject matter experts have an average instructor rating of 4.8 out of 5 across thousands of reviews.
Authorized content: We maintain more than 35 Authorized Training Partnerships with the top players in tech, ensuring your course materials contain the most relevant and up-to date information.
Interactive classroom participation: Our virtual training includes live lectures, demonstrations and virtual labs that allow you to participate in discussions with your instructor and fellow classmates to get real-time feedback.
Post Class Resources: Review your class content, catch up on any material you may have missed or perfect your new skills with access to resources after your course is complete.
Private Group Training: Let our world-class instructors deliver exclusive training courses just for your employees. Our private group training is designed to promote your team’s shared growth and skill development.
Tailored Training Solutions: Our subject matter experts can customize the class to specifically address the unique goals of your team.

Learning Credits: Learning Credits can be purchased well in advance of your training date to avoid having to commit to specific courses or dates. Learning Credits allow you to secure your training budget for an entire year while eliminating the administrative headache of paying for individual classes. They can also be redeemed for a full year from the date of purchase. If you have previously purchased a Learning Credit agreement with New Horizons, you may use a portion of your agreement to pay for this class.

If you have questions about Learning Credits, please contact your Account Manager.