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Help your team gain expertise in Python programming for data science, from basic statements to machine learning models, at our Python for Data Science Bootcamp. They'll learn how to work with data in Python, create visualizations, and use statistics to develop machine learning models, all while building a solid foundation in team collaboration and problem-solving.
|Manhattan, or Online
|Starting at $1495 (see price details)
|Up to 20 people
Our Python for Data Science Bootcamp is meant to go from the basics of Python programming to the start of machine learning with Python. In this Bootcamp, you'll learn how and why Python is used for data science, how to create programs, work with data in Python, create data visualizations, and use statistics to create machine learning models.
The course will start with the fundamentals of Python, including writing basic statements and expressions, creating variables, understanding different data types, working with lists, indexing and slicing lists, using functions and methods, and more. Concepts such as object-oriented programming and IDLE programming are introduced.
Once a learning environment has been set up, we will work with different data types such as strings, lists, dictionaries, and tuples. Each data type has its own particular purpose, and knowing when to use each one will be essential.
The second part of the course covers conditional statements and control flow tools. This includes the If/Else Statements, Boolean Operations, and different types of loops. These topics create a large portion of the logic in your code, and this course will help you master these concepts. Learn to work with dictionaries, create functions, write for loops to iterate through data, and work with packages in Python.
The third part of the course introduces operations and tools for data science. We will learn how to import and clean data using NumPy and Pandas. You'll learn to work with Pandas data frames, wrangle data, and get descriptive statistics for your data.
You'll learn to analyze and visualize data with key data science libraries including Pandas, NumPy, and Matplotlib. Learn to filter and clean data, group and pivot data, and start generating insights from your data with exploratory data analysis. Then create visualizations including bar charts, histograms, and advanced visualization for easy interpretation and sharing of your data insights.
Once we know how to clean our data and conduct EDA, the course will cover data science workflows and fundamental statistics. These topics are critical in ensuring that the data you are using to train your models are not biased. You'll learn how to use statistics to develop machine-learning models. Start building models and evaluating them on your way to machine learning.
After learning all the foundational Python programming and data analysis skills in this Bootcamp, you will be ready to dive fully into machine learning.
Our Python Machine Learning Bootcamp builds off this foundational knowledge to turn you into a full machine-learning data scientist. Pick up right where the Python for Data Science Bootcamp left off with advanced statistics and create machine learning models with logistic regressions, k-nearest neighbors, and decision trees.
Custom solutions for every team:
Purchase Vouchers or Group Classes
You can purchase group vouchers so your employees can attend any of our courses at their convenience on weeknights, weekdays, or weekends. Our classes are live online or in person at our Manhattan offices. When you invest in a large block of vouchers, you'll also receive a custom registration tracking portal to manage them.
With various courses on our calendar, you don't have to worry about coordinating with each employee to find a class that works for them. Your employees can use their vouchers to enroll in the classes that fit their proficiency, schedule, and location needs.
Learn Relevant Skills from Industry Experts
Your employees will leave our training as proficient users who can implement what they've learned the next day. Your employees will also have our course files to keep forever so they can continue using their training as a guide for their day-to-day tasks.
Our hands-on curriculum and focused instruction cater to every learning style. We simulate the challenges your employees will actually face on the job.
We have extensive experience developing curricula for various training sessions, either onsite at your office, in our Midtown Manhattan offices, or through remote virtual training. Our programs can be completely customized to suit your training needs.
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!
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.
Engaging experiences led by skilled entertainers to foster connection
Tailored activities, from trivia to mixology, to fit your needs.
Custom-built online games hub for collaborative fun
Streamlined planning and support for stress-free event planning
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For a limited time, each group event booking will include a free $30 CourseHorse.com gift card for each event participant.
The gift card can be used on CourseHorse.com, a marketplace with 10,000+ live classes and experiences in tech, art, cooking, and more.
There is no expiration date, no blackout periods, and no minimum spend. Promotion is limited to the first 1,000 event bookings. Gift cards are not redeemable for cash, exchangeable for group events, or combinable. Standard terms and conditions apply.