Computer Science tutor in New York, NY
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Summary
Podcast
Computer Science classes recently offered in New York
Students came from Harlem, Tribeca, and Upper East Side
Neha taught 6 days ago
The Student and Tutor reviewed key concepts of HTML forms, including various input types like text, password, number, range, checkbox, radio buttons, dropdown lists, datalists, and text areas. They discussed the structure of an HTML form, attributes for different tags, and how to submit and reset a form. The plan for the next session is to practice coding an HTML form, and the Student will provide topics for CSS review.
HTML Form Fundamentals & HTTP Requests
Basic Input Types: Text
Password
Number & Labels
Selection Inputs: Checkboxes & Radio Buttons
Advanced Selection: Dropdowns & Datalists (Autocomplete)
Multi-line Text Input & Form Submission
Form Structure & Accessibility (Label `for`/`id` & `section`)
Ramya taught 13 days ago
The session began with the Tutor reviewing the Student's Unit 4 database submission, focusing on database design and normalization. Following this, the Tutor introduced Unit 5 concepts, covering Microsoft Access forms, their purpose, creation methods, different views (Form, Layout, Design), types of controls (bound/unbound), calculations, and subforms. The Student is expected to review the material for practical application in the next session.
Form Controls: Bound vs. Unbound
Subforms for One-to-Many Relationships
Performing Calculations within Forms
The Three Form Views: Form
Layout
and Design
Understanding Forms in Microsoft Access
Darshankumar taught 17 days ago
The Student and Tutor continued their work on advanced Excel data manipulation. The session reviewed two-way lookups using `INDEX` and `MATCH`, and then focused extensively on the `OFFSET` function, covering its basic application, moving through rows and columns, and utilizing negative offsets for upward and leftward navigation. The Student practiced these concepts through multiple exercises, and an Excel file with 13 `OFFSET` practicals was assigned as homework, with the next session planned to cover case-sensitive and left lookup functions.
Two-Way Lookup Review (INDEX & MATCH)
Introduction to the OFFSET Function
Navigating Data with OFFSET (Positive Rows & Columns)
Negative Offset: Moving Up and Left
Dynamic Range Summation with SUM and OFFSET
vasundhra taught 22 days ago
The Student and Tutor reviewed an upcoming critical thinking assignment focused on cloud computing, specifically researching job opportunities requiring AWS skills. The Tutor committed to providing initial content for the student's 2-3 page essay for this assignment. They also discussed a plan for future Java lessons, contingent on the completion of current assignments.
Balancing Immediate Academic Needs with Future Learning Goals
Navigating Technical Assignment Submission Challenges
Strategic Session Scheduling for Academic Success
Effective Assignment Support Strategy
Cloud Computing Career Research (AWS Specialization)
vasundhra taught 28 days ago
The Student and Tutor reviewed various Java data types, including primitive types (int, double, char) and reference types (String). They practiced type conversions, character encoding, string manipulation, and input/output operations. The session concluded with the development of a Java program to estimate calorie expenditure, focusing on correct data type usage and output formatting, with plans to continue with coding exercises.
Type Conversions
Character Data Type and Encoding
String Data Type and Operations
Numeric Data Types and Precision
Ramya taught about 1 month ago
The student and tutor worked on creating database diagrams in Visio, focusing on table creation and data type implementation. They encountered technical difficulties with the Visio software and discussed the specific requirements for a database assignment related to normalization forms and entity count. The tutor advised the student to clarify assignment requirements with their professor.
Database Normalization (3NF)
Adding New Entities to Meet Requirements
Data Types and Field Properties
Entity-Relationship Diagramming (ERD) in Visio
CS tutors in NYC support every step of your learning
Your NYC guide to mastering computer science basics
Learning computer science in New York: key challenges & solutions
In New York, a city known for its thriving tech industry, computer science is one of the most in-demand fields. You typically learn computer science through high school courses, AP Computer Science, college programs, coding boot camps, and private tutoring.
Schools like Stuyvesant High School and Brooklyn Tech offer strong CS programs, while universities such as Columbia University and NYU provide advanced studies.
Challenges include grasping programming logic, mastering algorithms, and keeping up with evolving tech. Many students struggle with time management and debugging during AP CS exams. Complex coding problems and multiple-choice logic questions can be especially tough.
The New York State CS & Digital Fluency Standards guide K-12 education, and you may take AP CS A or AP CS Principles.
You can also explore resources like NYC CS for All, The New York Public Library Tech Programs, and local coding meetups to gain hands-on learning experience. Many students turn to computer science tutoring in New York for help with programming, exam prep, and college coursework.
Essential study materials for computer science learners in New York
- New York Public Library – TechConnect: Offers free coding classes and digital literacy workshops for learners at all levels.
- NYC CS for All Initiative: A city-wide program ensuring K-12 students gain essential computer science skills.
- High School CS Programs: Schools like Stuyvesant and Brooklyn Tech provide specialized CS tracks, covering coding, algorithms, and software development.
- NYC Coding Bootcamps: Institutions like Fullstack Academy and Flatiron School offer structured training in web development, data science, and software engineering.
- NYU and Columbia Computer Science Tutoring Centers: Provide college students with support for coursework, coding assignments, and exam preparation.
The cost of computer science tutoring in New York explained
Computer Science tutoring costs in New York depend on the tutor’s expertise and subject complexity. High school-level programming tutoring typically costs $50-$80 per hour. Advanced topics like data structures, algorithms, and machine learning tutoring can range from $100-$200 per hour.
For students on a budget, online tutoring can be a more cost-effective option, offering flexibility and lower rates. Beginner tutors for basic coding languages like Python and JavaScript charge around $35-$60 per hour, while experienced professionals specializing in AI, cybersecurity, or software engineering charge $100-$200 per hour.
Local tutoring centers like NYC Coding Mentors and The Flatiron School Prep Programs offer specialized training. Private tutoring is also popular for AP Computer Science exam prep and college-level coursework.
Wiingy provides expert-vetted CS tutors at just $28 per hour, with a free trial lesson to help students find the perfect tutor.
Frequently asked questions
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What computer science clubs, competitions, and enrichment programs are available in NYC?
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