Computer Science GCSE student (predicted Grade 8/A*). Teaching OCR J277 exam board students enroute to doing their GCSEs.

From 30.74 C$ /h

Explore the captivating realm of computer science through my tailored tutoring sessions! Whether you're a GCSE student gearing up for the OCR J277 exams or an enthusiastic beginner eager to explore computing and Python, my approach ensures an engaging and accessible learning adventure. My lessons come alive with interactive activities, and I adjust my teaching technique to match your pace and weak points. I prioritize nurturing a deep understanding of the concepts on the OCR specification, and fostering creative problem-solving skills, which is something that comes up a lot on the Paper 1. Each session typically spans around 60 minutes, striking the right balance between comprehensive coverage and attention span. However, I'm flexible and open to adjusting session lengths if need be! Armed with my own successful completion of a GCSE in Computer Science, I offer specialized, and up-to-date guidance for GCSE students following the OCR J277 exam board. Additionally, I provide enjoyable introductory sessions for young learners using Scratch Jr and Python from KS2!

Extra information

Only tutoring the OCR J277 exam board, and the Python (3.9) programming language.

Location

Online from United Kingdom

About Me

Hiya! I'm Ines, and I'm really glad that you're considering taking your studies to the best point they can be. Plus, I get it – I've been in those same situations feeling like I'm just not moving forward, but in the end I managed to complete my GCSE with a predicted Grade A* in Computer Science!! (Really should be an A**...) While I might not be a seasoned tutor, I've had first hand experience of the OCR exams, and what parts of the specification come up the most. My aim? Making the whole computer science thing less of a daunting experience and more of an interactive journey. Going into Year 12, I'm going to be studying Computer Science, Maths, and Sociology and completing them as A-Levels. However, I hope you reach your goals and necessities wherever you choose to be tutored!

Education

GCSE/Secondary level
Completed 10 GCSEs, including Maths, English Literature and Language, and all three sciences. (Biology, Physics, Chemistry) at expected grades 6-9.

Experience / Qualifications

Completed 10 GCSEs, including Maths, English Literature and Language, and all three sciences. (Biology, Physics, Chemistry)
Peer Mentor

Age

Children (7-12 years old)

Teenagers (13-17 years old)

Student level

Beginner

Intermediate

Advanced

Duration

45 minutes

60 minutes

90 minutes

120 minutes

The class is taught in

English

Portuguese

Skills

Computer science

Computer programming

Networking

Availability of a typical week

(GMT -05:00)

New York

Online via webcam

Mon

Tue

Wed

Thu

Fri

Sat

Sun

00-04

04-08

08-12

12-16

16-20

20-24

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renewable energy (wind, PV)
engineering Sciences
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Working code you can deploy immediately
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Ongoing Support: Get unlimited email support for any questions you have between sessions.

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Courses Offered

1. Basic Python Programming
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Introduction to Python and environment setup
Variables and data types
Operators and expressions
Conditional statements
Types of loops and loop control
Functions and scope
Data structures: lists, tuples, sets, and dictionaries
Mini projects and problem-solving exercises

2. Advanced Python Programming
This course is designed for learners who already know the basics of Python and want to explore its advanced features.
Topics include:
Lambda functions and list comprehensions
Generators, yield, and closures
Decorators
Object-Oriented Programming (classes, inheritance, polymorphism, encapsulation)
File handling and exception handling
Mini projects integrating multiple concepts

3. Data Analysis Using Python (NumPy and Pandas)
This course introduces essential tools for data manipulation and analysis using Python libraries.
Topics include:
Working with NumPy arrays
Using Pandas DataFrames and Series
Data cleaning, filtering, and transformation
Handling missing values and duplicates
Grouping, aggregation, and pivot tables
Exporting data to CSV and Excel
Real-world exercises with sample datasets