Have a question for the event organizer?
Send your message below!
LA: Python for Data Science Corporate Training
Transform your team's data capabilities with comprehensive Python for Data Science training. Progress from fundamentals through machine learning basics while mastering data visualization, manipulation, and statistical analysis using industry-standard libraries.
| Provider | ||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Location | At your location, Los Angeles | |||||||||||||||
| Pricing |
$1,800 for up to 20 people
We're happy to discuss your training needs free of charge. Reach out for a free consultation and let us know which skill your team is interested in, your preferred custom training options, and the approximate number of participants you’ll have so we can create a package for you. Send us an email or give us a call today! |
|||||||||||||||
| Duration |
Up to 7 hours For a shortened session, please request desired length in special requests at checkout.
|
|||||||||||||||
| Group Size |
Up to 20 people Group size can be changed after booking if needed.
|
|||||||||||||||
| Materials | None required | |||||||||||||||
| Other |
General Notes
Supported Platforms for Virtual Events: Zoom is our recommended platform, but we can accommodate Google Meets, Microsoft Teams, and WebEx if you provide the meeting link to CourseHorse in advance of the event. PoliciesPrice Match GuaranteeIf you find a similar event with a competitor at a lower price, we’ll gladly match it. This applies to events of comparable description and duration. Simply provide the details when booking, or within 72 hours of your booking, and we’ll ensure you get the best value. Contact an event concierge to get started. Rescheduling & Cancellation PolicyReschedule or cancel your event by emailing us at [email protected].
Rescheduled events must occur within 1 year of the original event. |
|||||||||||||||
Description
Learn Python programming, data analysis, visualization and statistical techniques, then build introductory machine learning models.
Python Fundamentals
Practice statements, expressions, variables, strings, lists, dictionaries, tuples, functions, methods and object-oriented concepts in IDLE.
Program Structure and Logic
Use If/Else statements, Boolean operations and loops. Write functions and iterate over data collections with for loops.
Arrays and DataFrames
Use NumPy for numerical operations and Pandas DataFrames to import, clean, transform and summarize data, including descriptive statistics.
Analysis and Visualization
Put your cleaned data to work. Using Pandas, NumPy, and Matplotlib, you will filter, group, and pivot datasets to uncover patterns, then communicate your findings through bar charts, histograms, and advanced visualizations designed for easy interpretation and sharing.
Linear Regression and Machine Learning Foundations
The bootcamp concludes by connecting all previous skills to statistical modeling. You will study foundational statistics, learn how to construct linear regression models, evaluate their performance, and understand the data-science workflow from raw data to a deployable model.
Continue Your Journey
This bootcamp flows directly into our Python Machine Learning Bootcamp, which picks up where Data Science leaves off with advanced algorithms, including logistic regression, k-nearest neighbors, and decision trees.
From Fundamentals to Machine Learning in One Comprehensive Program
This bootcamp covers the full data science pipeline. You will begin with Python programming essentials, then move into data wrangling with pandas and NumPy, then into visualization with Matplotlib and Seaborn, and finally into predictive modeling with scikit-learn. Along the way, you will work with real datasets, applying techniques that practicing data scientists use daily to explore, clean, and draw conclusions from raw information. By the end, you will have a working knowledge of the libraries and workflows that define the field, plus enough machine learning exposure to understand the algorithmic foundations that drive predictive systems at companies like Amazon, Netflix, and Google.
The bootcamp concludes with an introduction to supervised machine learning using scikit-learn, where you will train, evaluate, and tune predictive models on real datasets, giving you a concrete understanding of how the algorithms that power modern data products actually work in practice.
Custom solutions for every team:
Purchase Vouchers or Group Classes
Invest in your workforce by purchasing group vouchers that allow employees to attend any course at their convenience on weeknights, weekdays, or weekends. Larger blocks include a custom tracking portal so you can monitor enrollment easily.
With a broad catalog of courses, you do not need to coordinate a single time for everyone. Employees redeem vouchers for the classes that best fit their level, schedule, and preferred format.
Learn Relevant Skills from Industry Experts
Participants leave training as confident, capable users ready to apply skills the very next day, and they keep all course files as a permanent reference guide.
Our hands-on curriculum mirrors the real challenges employees face on the job, catering to every learning style.
We design onsite, partner-venue, and remote virtual sessions, all fully customizable to your organization's specific training objectives.