Thankfully we have 134 other Data Science Classes for you to choose from. Check our top choices below or see all classes for more options.
Noble Desktop See all classes by this school - Virtually Online
Prepare for an in-demand career in data science through this beginner-friendly program. Build expertise in Python programming, SQL querying, and machine learning to analyze and shape data. You'll work on real-world projects, build dynamic dashboards, and create predictive models, equipping you with the skills to land entry-level roles in data science and Python engineering.
Oct 24th
10am–5pm ET
Meets 18 Times
Oct 25th
10am–5pm ET
Meets 17 Times
Oct 26th
10am–5pm ET
Meets 18 Times
Oct 27th
6–9pm ET
Meets 36 Times
Nov 23rd
10am–5pm ET
Meets 18 Times
This class has 10 more dates.
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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 - 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 - Virtually Online
Bring professional rigor to how you organize and interpret data in this hands-on course. You'll work through advanced Excel techniques for sorting, filtering, grouping, and visualizing data, leaving with stronger analytics skills for better reporting.
Nov 9th
10am–5pm ET
Meets 3 Times
This class has 7 more dates.
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Noble Desktop See all classes by this school - Self-paced Video Training
Build the fundamentals of machine learning with our self-paced Python Machine Learning Course. Learn to create predictive models, study data, and apply powerful algorithms like decision trees and random forests, no advanced math required.
Secure your booking now and we'll match any price drop within 48 hours across all booking platforms, ensuring you never miss out on savings!
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A class for people with no data science background who wish to learn AI trends.
Course Overview
This four-hour workshop will cover everything you need to know to understand the current trends in generative AI, how these models work, and how to train them, and you can leverage them for your business. The session will cover how text, images, video, and music can be created by AI, details about the data they need, and considerations for their use. All hands-on programming will be done in Python.
Prerequisites
Attendees should be comfortable with the basics of programming but need no background in data science or AI.
Certificate
Certificates are awarded at the end of the program at the satisfactory completion of the course. Students are evaluated on a pass/fail basis for their performance on the required homework and final project (where applicable). Students who attend a minimum of 85% of the class are eligible for the certificate of completion.
Syllabus
Unit 1: Introduction to Generative AI
Unit 2: Types of Generative Models
Unit 3: Building and Training Generative Models
Unit 4: Image, Video, Text, and Music Generation using AI
Unit 5 : How to invest in Generative AI
Bonus Unit: How generative AI will disrupt the industry and its social and legal implications
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.
Any student wishing to withdraw from a program must notify CourseHorse in writing. The date of withdrawal for refund purposes is the last date of physical attendance. The failure of a student to notify us in writing of withdrawal may delay refund of tuition due pursuant to Section 5001 and 5002 of the Education Law.
Any student requesting cancellation within seven days after signing the Enrollment Agreement but before instruction begins will be refunded all money paid less 5% cancellation fee. Thereafter, in the event of cancellation or termination by the school, refunds will be prorated based on the student's last date of attendance.
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NYC Data Science Academy offers hands-on projects and real-world applications to teach students the skills needed for a career in data science. By enrolling, students become part of a supportive network that includes the NYC Open Data Meetup.
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