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NYC: Python for Data Science Corporate Training
Empower your team with Python for data science training, progressing from Python basics through data analysis, visualization, and introductory machine learning. This hands-on bootcamp equips employees with practical skills to confidently tackle real-world data challenges and build predictive models.
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| Location | 185 Madison Ave, New York | |||||||||||||||
| 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! |
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| Duration |
Up to 7 hours For a shortened session, please request desired length in special requests at checkout.
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| Group Size |
Up to 20 people Group size can be changed after booking if needed.
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| Materials | None required | |||||||||||||||
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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. |
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Description
Learn Python fundamentals, write programs, process and visualize data, and explore statistical foundations for machine learning.
Core Python Capabilities
Start with commands, mathematical expressions, variables, collections, list indexing and slicing, and built-in functions. The course also covers object-based design.
Set up your coding workspace and learn when to use strings, arrays, dictionaries and tuples.
Organizing Code into Programs
Practice Boolean logic, If/Else conditions, logical operators and loops. Organize dictionaries, write reusable functions, iterate through collections and import libraries.
NumPy Arrays and Pandas Dataframes
Load, prepare and analyze data with NumPy and Pandas. Work with Pandas data structures to reshape information and summarize findings.
Processing and Displaying Data
Use Pandas, NumPy and Matplotlib to select, combine and organize data, explore findings, and create visualizations including bar charts and histograms.
Moving Forward
These Python and analytical skills prepare you to continue into machine learning.
The separate Python Machine Learning Bootcamp builds on this course with advanced statistics and classifiers using logistic regression, k-nearest neighbors and decision trees.
Learning Outcomes at a Glance
- Introductory programming fundamentals covering repetition structures, reusable functions, and class-based architecture.
- Manage diverse information categories, covering whole numbers, decimal values, and character text.
- Manage decision points in your applications utilizing conditional logic structures.
- Write compact and efficient code by creating reusable components with object-oriented principles.
- Examine information in tabular format utilizing Numpy and Pandas tools.
- Construct visual representations and data displays utilizing Matplotlib tools.
- Perform predictive calculations utilizing regression analysis through the scikit-learn library
Complete Course Content Overview
Python Core Concepts
- Fundamental Data Categories and References
- Program statements and computations
- Reference storage
- Numeric whole values and fractional values
- Text and string values
- Aggregate Data Structures and Built-in Features
- Reusable operations and built-in features
- Collection groups
- Position referencing and subset operations
- Logical true/false values
Code Organization and Control
- Advanced Data Structures and Program Flow
- Collection dictionaries
- Boolean conditional statements
- For-loop structures
- Function definition and reuse
- Libraries and Object-Oriented Architecture
- Class structures and instances
- Library management and imports
- Collections of resources and guidance documents
Data Processing and Visualization
- NumPy Array Operations
- Array structures
- Mathematical operations across arrays
- Position-based filtering
- Pandas Information Administration
- Pandas information structures
- Pandas data collections and data categories
- Column operations and alterations
- Data aggregation and summary statistics
Data Examination and Visualization
- Data Examination and Discovery
- Screening and preparing information
- Group-based operations
- Information transformation and reorganization
- Graphing and Visualization
- Creating diagrams utilizing Matplotlib
- Bar-style charts
- Dot-pattern charts
- Distribution histograms
- Adjusting charts and customization options
Organizational training
Group vouchers let employees choose weeknight, business-hour or weekend classes live online or at our Manhattan venue. Larger purchases include a voucher management portal. Employees select sessions by skill level, schedule and location.
Business instructors teach hands-on workplace tasks, with reference materials yours to keep. Private curricula can be customized for your office, our Midtown Manhattan campus or live online delivery.
Important Note:
- The schedule features a one-hour break in the afternoon for lunch.
- We can transport and conduct the training at your office location within the greater New York region at no supplementary fee.