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Since January 2023
Instructor since January 2023
Private Lessons: Computer Science and Mathematics for Any Level
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From 32.13 £ /h
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I am Engineer and Lecturer with more than 16 years of experience in Lecturing Computer Science , Electrical Engineering and Mathematics subjects for all levels of students. I have PhD in Computer Science and Mathematics specialised in Big Data and Parallel Programming. Further I am specialized in Machine Learning and Artificial Intelligent , Data Science Areas. I am more interested in giving private lessons in,

Computer Programming ( Python , C/C++, Java ),
Machine Learning,
Data Science,
Data Analytics,
Databases,
Computer Architecture,
Embedded Systems,
Data Analytics for Business,
Digital Signal Processing,
Real Time Systems and Programming,
Parallel Programming,
Statistics,
Algebra ,
Geometry subject areas.

I have experienced in doing Lectures for Bachelor of Engineering Programs, Pearson BTEC HND in Electrical Engineering and HND in Digital Technologies Programs, City and Guilds Programs. Also I am CertifiedTrainer(City & Guilds Advanced Diploma in Teaching, Training and Assessing Learning : IVQ 1106-22).
Location
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At student's location :
  • Around Rome, Italy
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At teacher's location :
  • VERDEINPROGRESS Soluzioni per il verde a Roma, Via dell'Assunzione, Rome, Metropolitan City of Rome, Italy
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Online from Italy
About Me
I am a Engineer and Lecturer
I am passionate to do lecturing for studentss of all levels of all ages.
I am dynamic and passionate person with more than 16 years experienced teaching for students of all levels and ages.
Every student is brillient . We need to help them recognize the brilliance they already have.
Education
PhD in Computer Science and Mathematics( Speciallized in Big Data Analytics ) : 2011- 2015 : University of Basilicata , Italy
Bsc Engineering in Computer Engineering
Experience / Qualifications
Engineer-Machine Learning and Artificial Intelligence
Engineer-Cloud & Virtualization
Postdoctoral Researcher (Machine Learning , Computer Vision, Data Science)
Lecturer
Age
Children (7-12 years old)
Teenagers (13-17 years old)
Adults (18-64 years old)
Seniors (65+ years old)
Student level
Beginner
Intermediate
Advanced
Duration
60 minutes
90 minutes
120 minutes
The class is taught in
English
Availability of a typical week
(GMT -05:00)
New York
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At teacher's location and via webcam
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At student's home
Mon
Tue
Wed
Thu
Fri
Sat
Sun
00-04
04-08
08-12
12-16
16-20
20-24
I am Engineer and Lecturer with more than 16 years of experience in Lecturing Computer Science , Electrical Engineering and Mathematics subjects for all levels,
In this 2 hour session I will cover,

Overview
Cryptocurrency
NFT
Benefits of Blockchain
Blockchain for Industries
Blockchain Solutions
Blockchain and AI
Read more
Python Complete Course For Python Beginners.Learn Python From Beginner To Advanced Level with theory and with more than 150 examples.

Topics you will find in the examples:
calculations in Python
strings, and str methods
data types
data structures: set. tuple, list, dict
program flow control
if statement
for loops
break statement
continue statement
while loops
exception handling
input/output
reading files
saving to files
built-in functions
defining your own functions
anonymous functions - lambda expression
set comprehension
list comprehension
dict comprehension
built-in modules
Fibonacci sequence
prime and composite numbers
palindromic numbers
GCD
decimal system, binary system
compression
object oriented programming
and many other
Read more
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Hi, I hope you will be fine.
Welcome to my profile.

This is Faisal. I am a Lecturer in Data Science at University. Data Science is the advanced field of Computer Science. I have more than 4 years of teaching experience including International level Students from Multiple countries of different levels of education, like, up to the University level.

I love education because education is a powerful weapon to change the world. I am hardworking, and I am interested to use my Technical background and Expertise for my students. I teach the students with step-by-step instructions to make their concepts clear. That’s why I always focus on the Quality of Education to make my students and their parents happy. I take quizzes /tests daily and weekly basis. I provide the helping materials. I'm a friendly, happy, and polite person. I really like teaching because I think it’s my passion. I really enjoyed teaching children because they always enjoy my lessons.

Lооking fоrwаrd tо Help mоre аnd mоre students tо get better & Quаlity Educаtiоn.

Feel free to contact me,
Takecare
:)
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<Course Description>
This course is designed for beginners who are interested in learning programming with Python. It covers the basic concepts of programming such as data types, variables, control structures, functions, and file I/O. Participants will learn how to write Python programs, debug code, and design algorithms using Python. The course also introduces the basics of object-oriented programming and the Python libraries used for data manipulation and visualization.

<Prerequisites>
No prior programming experience is required. However, familiarity with basic computer concepts such as files, folders, and operating systems is recommended.

<Learning Objectives>
By the end of the course, participants will be able to:

* Understand the fundamentals of programming and how it applies to Python
* Write Python code for simple applications and automate repetitive tasks
* Use control structures such as loops and conditional statements
* Create functions to encapsulate code and enable code reuse
* Work with Python libraries such as NumPy, Pandas, and Matplotlib
* Use object-oriented programming principles to design more complex programs
* Debug code and use error-handling techniques


<Course Outline>
The course is divided into modules that build on each other to provide a comprehensive introduction to Python programming. Each module consists of lectures, demonstrations, hands-on exercises, and quizzes to reinforce learning. Here is an outline of the course:

Module 1: Introduction to Python
History and Overview of Python
Setting up Python environment
Writing and running basic Python programs
Variables, data types, and operators

Module 2: Control Structures
Conditional statements and Boolean logic
Loops and iteration
User input and output

Module 3: Functions
Writing and calling functions
Scope and namespaces
Return values and parameters
Lambda functions

Module 4: File Input and Output
Reading and writing files
File modes and buffering
Handling exceptions and errors

Module 5: Object-Oriented Programming
Classes and objects
Inheritance and polymorphism
Data encapsulation and abstraction
Special methods and decorators

Module 6: Python Libraries
Introduction to NumPy, Pandas, and Matplotlib
Data manipulation and analysis with Pandas
Data visualization with Matplotlib


Conclusion
This beginner's programming class in Python provides a solid foundation for anyone interested in learning programming and using Python for data analysis, automation, or software development. With hands-on exercises, interactive quizzes, and a comprehensive final project, participants will learn how to write Python code that is efficient, maintainable, and elegant.
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Contact Tilani
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Similar classes
arrow icon previousarrow icon next
verified badge
Hi, I hope you will be fine.
Welcome to my profile.

This is Faisal. I am a Lecturer in Data Science at University. Data Science is the advanced field of Computer Science. I have more than 4 years of teaching experience including International level Students from Multiple countries of different levels of education, like, up to the University level.

I love education because education is a powerful weapon to change the world. I am hardworking, and I am interested to use my Technical background and Expertise for my students. I teach the students with step-by-step instructions to make their concepts clear. That’s why I always focus on the Quality of Education to make my students and their parents happy. I take quizzes /tests daily and weekly basis. I provide the helping materials. I'm a friendly, happy, and polite person. I really like teaching because I think it’s my passion. I really enjoyed teaching children because they always enjoy my lessons.

Lооking fоrwаrd tо Help mоre аnd mоre students tо get better & Quаlity Educаtiоn.

Feel free to contact me,
Takecare
:)
verified badge
<Course Description>
This course is designed for beginners who are interested in learning programming with Python. It covers the basic concepts of programming such as data types, variables, control structures, functions, and file I/O. Participants will learn how to write Python programs, debug code, and design algorithms using Python. The course also introduces the basics of object-oriented programming and the Python libraries used for data manipulation and visualization.

<Prerequisites>
No prior programming experience is required. However, familiarity with basic computer concepts such as files, folders, and operating systems is recommended.

<Learning Objectives>
By the end of the course, participants will be able to:

* Understand the fundamentals of programming and how it applies to Python
* Write Python code for simple applications and automate repetitive tasks
* Use control structures such as loops and conditional statements
* Create functions to encapsulate code and enable code reuse
* Work with Python libraries such as NumPy, Pandas, and Matplotlib
* Use object-oriented programming principles to design more complex programs
* Debug code and use error-handling techniques


<Course Outline>
The course is divided into modules that build on each other to provide a comprehensive introduction to Python programming. Each module consists of lectures, demonstrations, hands-on exercises, and quizzes to reinforce learning. Here is an outline of the course:

Module 1: Introduction to Python
History and Overview of Python
Setting up Python environment
Writing and running basic Python programs
Variables, data types, and operators

Module 2: Control Structures
Conditional statements and Boolean logic
Loops and iteration
User input and output

Module 3: Functions
Writing and calling functions
Scope and namespaces
Return values and parameters
Lambda functions

Module 4: File Input and Output
Reading and writing files
File modes and buffering
Handling exceptions and errors

Module 5: Object-Oriented Programming
Classes and objects
Inheritance and polymorphism
Data encapsulation and abstraction
Special methods and decorators

Module 6: Python Libraries
Introduction to NumPy, Pandas, and Matplotlib
Data manipulation and analysis with Pandas
Data visualization with Matplotlib


Conclusion
This beginner's programming class in Python provides a solid foundation for anyone interested in learning programming and using Python for data analysis, automation, or software development. With hands-on exercises, interactive quizzes, and a comprehensive final project, participants will learn how to write Python code that is efficient, maintainable, and elegant.
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