Saqib Gulzar Bhat
New Delhi/Online
Skills
About
I am a passionate Computer Science tutor and Assistant Professor with a Master’s degree in Information Technology and UGC-NET qualification in Computer Science & Applications....
I am a passionate Computer Science tutor and Assistant Professor with a Master’s degree in Information Technology and UGC-NET qualification in Computer Science & Applications. I have over two years of teaching experience and expertise in Machine Learning, Deep Learning, Computer Vision, Data Science, Data Structures, Databases, and programming in C and Python.I believe learning should be simple, interactive, and practical. My sessions focus on concept clarity, step-by-step explanations, and hands-on problem solving to help students gain confidence and perform better in exams, projects, and interviews. Whether you are a beginner or an advanced learner, I tailor my teaching to match your learning pace and goals.
Saqib Gulzar Bhat
New Delhi/Online
Skills :
I am a passionate Computer Science tutor and Assistant Professor with a Master’s degree in Information Technology and UGC-NET qualification in Computer Science & Applications....
I am a passionate Computer Science tutor and Assistant Professor with a Master’s degree in Information Technology and UGC-NET qualification in Computer Science & Applications. I have over two years of teaching experience and expertise in Machine Learning, Deep Learning, Computer Vision, Data Science, Data Structures, Databases, and programming in C and Python.I believe learning should be simple, interactive, and practical. My sessions focus on concept clarity, step-by-step explanations, and hands-on problem solving to help students gain confidence and perform better in exams, projects, and interviews. Whether you are a beginner or an advanced learner, I tailor my teaching to match your learning pace and goals.
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Courses by: Saqib Gulzar Bhat
Python Programming with Machine Learning by Saqib Gulzar Bhat
Module 1: Introduction to Programming & Python Basics
What is Programming? Applications of Python
Installing Python, Anaconda, Jupyter Notebook
Python Syntax, Indentation, Comments
Variables and Data Types
Input / Output Operations
Type Casting
Outcome: Learners understand core Python syntax and environment.
Module 2: Control Flow & Data Structures
Conditional Statements (if, if-else, elif)
Looping (for, while, nested loops)
Break, Continue, Pass
Python Data Structures:
Lists
Tuples
Sets
Dictionaries
Common Built-in Functions
Outcome: Ability to write logic-driven programs.
Module 3: Functions & Modular Programming
Defining and Calling Functions
Parameters and Return Values
Default and Keyword Arguments
Lambda Functions
Recursion
Modules and Packages
Python Standard Library Overview
Outcome: Writing reusable and modular code.
Module 4: Strings, Files & Exception Handling
String Operations and Methods
File Handling (read, write, append)
Working with CSV and Text Files
Exception Handling (try, except, finally)
Custom Exceptions
Debugging Techniques
Outcome: Data handling and error-free programming.
Module 5: Object-Oriented Programming (OOP) in Python
OOP Concepts: Class, Object
Constructors and Destructors
Inheritance
Polymorphism
Encapsulation and Abstraction
Method Overriding
Real-world OOP Examples
Outcome: Understanding real-world software design.
Module 6: Advanced Python Concepts
Iterators and Generators
Decorators
List, Dictionary & Set Comprehensions
Regular Expressions
Date and Time Handling
Virtual Environments
Performance Optimization Basics
Outcome: Writing efficient and advanced Python programs.
Module 7: Working with Libraries & Data Handling
Introduction to NumPy
Arrays, Operations, Broadcasting
Introduction to Pandas
Series and DataFrames
Data Cleaning and Manipulation
Data Visualization Basics
Matplotlib
Seaborn (optional)
Outcome: Data handling skills required for ML.
Module 8: Introduction to Statistics & Linear Algebra (ML Prerequisites)
Types of Data
Mean, Median, Mode
Variance and Standard Deviation
Correlation and Covariance
Basics of Linear Algebra:
Vectors and Matrices
Probability Fundamentals
Outcome: Mathematical intuition for Machine Learning.
Module 9: Introduction to Machine Learning
What is Machine Learning?
Types of ML:
Supervised Learning
Unsupervised Learning
Reinforcement Learning
ML Workflow
Real-world ML Applications
Outcome: Conceptual understanding of ML.
Module 10: Machine Learning with Python
Introduction to Scikit-Learn
Data Preprocessing
Handling Missing Values
Feature Scaling
Train-Test Split
Model Evaluation Metrics
Module 11: Basic Machine Learning Algorithms
Linear Regression
Logistic Regression
k-Nearest Neighbors (KNN)
Decision Trees
K-Means Clustering
Outcome: Ability to build simple ML models.
Module 12: Mini Projects & Capstone
Python Mini Projects:
Student Management System
File-Based Applications
ML Mini Projects:
House Price Prediction
Spam Email Classification
Final Capstone Project (End-to-End)
Outcome: Practical implementation & confidence building
C Programming Course by Saqib Gulzar Bhat
The Advanced C Programming & Problem-Solving Mastery course by Saqib Gulzar Bhat is a structured, in-depth online program designed to help students build a strong foundation in C programming while developing real problem-solving skills. C is one of the most powerful and influential programming languages, forming the base of many modern systems, operating systems, and software applications. This course is ideal for beginners, computer science students, diploma/engineering learners, and aspiring programmers who want to understand programming at a fundamental level.
Through live online sessions, students will progress from understanding the basics of programming to mastering advanced concepts like pointers, dynamic memory allocation, structures, and file handling. The course focuses not only on syntax but also on logical thinking, structured coding practices, and practical implementation.
What Students Will Learn
This course is divided into carefully designed modules:
Module 1: Introduction to Programming & C Language
What is Programming?
History and Importance of C
Applications of C Programming
Structure of a C Program
Compilation Process (Preprocessor, Compiler, Linker)
Writing and Executing First C Program
Outcome: Understand programming fundamentals and C environment.
Module 2: Basic Syntax, Data Types & Variables
C Tokens (Keywords, Identifiers, Constants, Operators)
Data Types (int, float, char, double)
Variables and Constants
Type Conversion and Type Casting
Input and Output Functions (
printf,scanf)Format Specifiers
Outcome: Ability to write basic C programs.
Module 3: Operators and Expressions
Arithmetic Operators
Relational Operators
Logical Operators
Assignment Operators
Increment and Decrement Operators
Bitwise Operators
Operator Precedence and Associativity
Outcome: Perform computations and logical decisions.
Module 4: Control Statements
Decision Making:
if,if-else,else-ifswitch-case
Looping:
for,while,do-while
Nested Loops
Jump Statements:
break,continue,goto,return
Outcome: Develop logic-based programs.
Module 5: Arrays and Strings
One-Dimensional Arrays
Two-Dimensional Arrays
Multi-Dimensional Arrays
Array Initialization and Traversal
String Handling Functions (
strlen,strcpy,strcmp, etc.)Character Arrays vs Strings
Outcome: Store and manipulate collections of data.
Module 6: Functions and Modular Programming
Function Definition and Declaration
Function Call Mechanism
Types of Functions
Parameter Passing (Call by Value)
Recursive Functions
Scope and Lifetime of Variables
Header Files and User-Defined Functions
Outcome: Write reusable and modular code.
Module 7: Pointers
Introduction to Pointers
Pointer Declaration and Initialization
Pointer Arithmetic
Pointers and Arrays
Pointers and Functions
Pointers to Pointers
Dynamic Memory Allocation (
malloc,calloc,realloc,free)
Outcome: Understand memory management concepts.
Module 8: Structures and Unions
Introduction to Structures
Structure Declaration and Initialization
Array of Structures
Structures and Functions
Nested Structures
Introduction to Unions
Difference Between Structures and Unions
Outcome: Manage complex data efficiently.
Module 9: Enumerations and Typedef
Enumerated Data Types (
enum)typedefKeywordUse Cases and Advantages
Outcome: Improve code readability and maintainability.
Module 10: File Handling in C
Introduction to File Handling
File Pointers
Opening and Closing Files (
fopen,fclose)File Modes
File Input/Output Functions:
fprintf,fscanffputc,fgetcfputs,fgets
Random Access Files:
fseek,ftell,rewind
Error Handling in Files
Outcome: Store and retrieve data permanently.
Teaching Method
This course is conducted in a live online format, allowing students to attend from anywhere. The teaching approach emphasizes:
• Concept clarity before coding
• Step-by-step explanation of syntax and logic
• Practical coding demonstrations
• Problem-solving exercises after each module
• Interactive sessions with doubt clarification
• Progressive difficulty to build confidence
Students are encouraged to actively write code, test programs, and analyze errors to gain hands-on experience.
Why Learn with Saqib Gulzar Bhat
Saqib Gulzar Bhat presents C programming in a structured and beginner-friendly manner while gradually introducing advanced topics. The course is organized module-by-module to ensure clarity and systematic progression. The focus is on understanding how programs work internally — especially memory management, pointers, and modular code design — which are essential for computer science and software development careers.
The structured design of the course makes it suitable for academic learners as well as those preparing for technical interviews or strengthening core programming fundamentals.
Benefits & Outcomes
• Strong foundation in core C programming
• Improved logical and analytical thinking
• Ability to solve programming problems independently
• Clear understanding of memory management concepts
• Preparation for advanced programming languages
• Confidence in handling academic assignments and projects
• Practical knowledge of file handling and data storage
By completing this course, students will not only understand C syntax but also develop a deep understanding of how programs interact with memory and the system — a critical skill for any serious programmer.
