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Noble Desktop See all classes by this school - Self-paced Video Training
Kickstart your data science journey with our self-paced Python for Data Science course! Learn Python fundamentals, analyze data with Pandas and NumPy, and create stunning visualizations—all while building a strong foundation for machine learning.
Noble Desktop See all classes by this school - Self-paced Video Training
Automate repetitive tasks and extract data from websites using Python in this beginner-friendly, self-paced course. Build real-world automation scripts, learn large-scale data scraping techniques, and develop the skills to run your code efficiently and independently. A strong foundation for anyone looking to streamline workflows or move into web development.
Noble Desktop See all classes by this school - Self-paced Video Training
Transform raw data into compelling visuals and interactive dashboards using Python libraries including Pandas, Plotly, and Dash. Work through real-world projects at your own pace, deploy them online, and build a portfolio that demonstrates your data skills to potential employers.
Noble Desktop See all classes by this school @ Zoom Conference
This advanced course is designed for professionals who already understand the fundamentals of AI prompt engineering and want to move beyond basic prompting into more precise prompt design and reasoning control.
Nov 3rd
1–5pm ET
Dec 15th
8am–12pm ET
This class has 1 more date.
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Noble Desktop See all classes by this school @ Zoom Conference
The course emphasizes actionable strategies teams can implement right away to build trust and support compliance with evolving policies.
Nov 10th
8am–12pm ET
Dec 1st
1–5pm ET
This class has 10 more dates.
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This course is available for "remote" learning and will be available to anyone with access to an internet device with a microphone (this includes most models of computers, tablets). Classes will take place with a "Live" instructor at the date/times listed below.
Upon registration, the instructor will send along additional information about how to log-on and participate in the class.
A student who cancels within 7 days of signing the enrollment agreement but before instruction begins receives all monies returned with the exception of the non-refundable registration fee.
Thereafter, a student will be liable for:
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