Virtual: Python for Data Science Corporate Training

Build your team's data science capabilities from the ground up with Python fundamentals through machine learning. This bootcamp teaches programming logic, data manipulation, visualization, and foundational machine learning skills for immediate workplace application.

Live professional host
Instantly bookable
Private Event

Provider

CourseHorse Experiences (4.8-star rating across 5,558 reviews)

Location

Zoom Conference

Platform details

Zoom is recommended. For Microsoft Teams, Google Meet or WebEx, provide the meeting link to CourseHorse in advance of the event.

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

After you book the event, we will send you a confirmation email and details for the event.
For events with materials, we will then collect the addresses of each of the participants and ensure every individual is sent a kit.
Our event fulfillment team will be able to answer any questions you have before, during, or after the event.
You can customize your event for a $300 customization fee. Customizations include things like combining different games, requesting specific questions or a themed game, or adding something to an event with materials included. Using a different platform that is not Zoom is not a customization.
Get a Demo: Not convinced? Book a 20-minute demo of this event for $25 before committing to it for your group. Your payment will apply towards your final purchase.

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.

Policies

If 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.

Reschedule or cancel your event by emailing us at [email protected].

Days before event	3 days or less	7 days or less	30 days or less	More than 30 days
Reschedule Days before event:	3 days or less No reschedule allowed	7 days or less $150 fee	More than 7 days Reschedule for no fee
Cancellation Days before event:	30 days or less No cancellation allowed			More than 30 days 15% fee

Rescheduled events must occur within 1 year of the original event.

Write programs using real data, create visualizations and apply statistical thinking to your first machine learning models.

Python Fundamentals

The course opens with the building blocks of Python: writing statements and expressions, declaring variables, working with different data types, using lists, indexing and slicing sequences, calling functions and methods, and more. Key concepts such as object-oriented programming and working in the IDLE development environment are introduced early to establish strong, professional habits from the start.

Once the environment is configured, you will work extensively with Python's core data types, including strings, lists, dictionaries, and tuples. Understanding the specific strengths and appropriate uses of each data type is fundamental to writing effective, readable Python code.

Program Structure and Control Flow

The second section covers the logical structures that power most Python programs: if-else statements, Boolean operations, and various types of loops. You will learn to write reusable functions, iterate through data with for loops, work with nested data structures, and import and use external packages to extend Python's capabilities.

Arrays and DataFrames

This section introduces the core tools of Python-based data science. You will learn to import, inspect, and clean data using NumPy and Pandas, work with Pandas DataFrames, reshape and wrangle messy data into usable formats, and generate descriptive statistics that give you a first look at your data.

Data Analysis and Visualization

You will develop the ability to analyze datasets and communicate findings visually using Pandas, NumPy, and Matplotlib. Topics include filtering and cleaning data, grouping and pivoting, exploratory data analysis (EDA), and building visualizations such as bar charts, histograms, scatter plots, and more advanced graphical representations designed for sharing insights with others.

Linear Regression and Introductory Machine Learning

The final section covers data science workflows and the fundamental statistics needed to ensure your data and models are sound before you build with them. You will construct your first machine learning models, evaluate their performance, and develop the intuition to move into more advanced modeling work.

Next Steps After This Bootcamp
After completing this course, you will be prepared to move into the Python Machine Learning Bootcamp, which picks up directly where this program leaves off. There, you will tackle advanced statistics and build machine learning models using logistic regression, k-nearest neighbors, and decision trees on your way to becoming a fully equipped data scientist.

Flexible Training Solutions for Your Team
Group Vouchers and Scheduled Classes
Group vouchers are available so employees can attend sessions at their convenience, with options on weekdays, weeknights, and weekends. Courses run live online and in person at our Midtown Manhattan offices. Larger voucher packages include a custom registration tracking portal.

With various courses on the calendar, employees can choose sessions that match their current skill level, schedule, and preferred format.

Practical Skills from Working Industry Professionals
Participants leave training ready to apply what they have learned right away, with all course materials to keep for ongoing reference and daily use.

Our curriculum is hands-on and built around real data science workflows and challenges. Training is available on-site at your office, at our Midtown Manhattan location, or through live virtual instruction, and can be fully customized to your organization's specific learning needs and goals.

Who Should Attend
This course is well-suited for business analysts, data analysts, data scientists, developers, and anyone whose work involves querying or reporting from databases. It is equally valuable for professionals in non-technical roles who want to build the SQL skills to pull their own data rather than relying on others. No prior database experience is required. If you work with data regularly and want more control over how you access and analyze it, this course is the right starting point.