Muhammad Etisam Ul Haq Python, Databases, Data Analysis, Web Development
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My name is Etisam Ul Haq, and I'm excited to introduce myself as your potential python and databases tutor. I am a certified Data Scientist with 3+ years of experience in data analysis, machine learning, and web development. I have a strong foundation in:

- Data Analysis (Pandas, NumPy, Excel)
- Data Visualization (Matplotlib, Seaborn, Ploty)
- Python
- Databases
- Web Development (HTML, CSS, JavaScript)
- Machine Learning

What sets me apart is not just my technical proficiency, but my genuine passion for teaching. I thoroughly enjoy sharing my knowledge and expertise with others, which is reflected in my teaching experience.

My commitment to education is evident in the certifications I've earned, showcasing my dedication to staying current with industry trends and advancements. As a student, you can expect a dynamic and engaging learning experience with me, tailored to foster a deep understanding of data science concepts.

Beyond my academic and professional pursuits, I have a keen interest in:

- Data Science
- Databases
- Programming
- Machine learning

Why Choose Me?
• Customized learning plans tailored to individual student needs.
• Interactive sessions with hands-on practice.
• Challenges, tasks, and projects to track your learning journey.

This passion not only drives my learning but also fuels my desire to inspire and guide others in these exciting fields.

Subjects

Python Beginner-Expert
SQL Beginner-Intermediate
Data Visualization in Python Beginner-Expert
Databases Beginner-Intermediate
Data Analysis with Python Beginner-Expert

Experience

Programming instructor (Feb, 2024–Present) at (Freelance)
Data Science Intern (May, 2023–Jul, 2023) at The Sparks Foundation, Singapore (Remote)
Intern (Feb, 2023–Apr, 2023) at Paklaunch

Education

Data Analysis with Python (Jun, 2023–Aug, 2023) from Coursera
IBM Data Science Professional Certificate (May, 2023–May, 2024) from Coursera
Data Visualization with Python (Apr, 2023–Jun, 2023) from Coursera
Bachelor's in Data Science (Dec, 2021–now) from University of The Punjab Lahore

Fee details

Rs1,000–2,000/hour (US$3.60–7.21/hour)

Courses offered

Mastering Python: From Beginner to Advanced
- US$95
- Duration: 20 Hours
- Delivery mode: Online
- Group size: Individual
- Instruction language: English, Hindi, Urdu
- Certificate provided: No
Learn Python from scratch to advanced levels with this comprehensive course. Starting with the basics of programming, you'll develop a strong foundation in Python syntax, variables, and data types. You’ll then explore control structures, functions, and error handling. The course also covers advanced topics such as object-oriented programming, file handling, and working with modules. Perfect for beginners and those looking to deepen their skills, this course will equip you with the knowledge to tackle real-world programming challenges.

Topics covered:
- Python syntax and variables
- Data types and operators
- Control structures (if-else, loops)
- Functions and recursion
- Lists, tuples, and dictionaries
- Error handling and exceptions
- Object-oriented programming (classes, inheritance, polymorphism)
- File handling (reading/writing files)
- Modules and packages
Data Analysis with Python using Pandas and NumPy
- US$120
- Duration: 25 Hours
- Delivery mode: Online
- Group size: Individual
- Instruction language: English, Urdu, Hindi
- Certificate provided: No
Master data analysis with Python in this focused course using Pandas and NumPy. Starting with an introduction to data handling and manipulation, you’ll learn how to clean, process, and analyze large datasets efficiently. The course covers the fundamentals of NumPy for numerical computing and Pandas for data manipulation, providing you with the tools to draw insights from complex data. By the end of this course, you'll be able to manage, analyze, and visualize data like a pro.

Topics covered:
- Introduction to data analysis and Python tools
- NumPy basics: arrays, indexing, and operations
- Working with multi-dimensional data in NumPy
- Introduction to Pandas: Series and Data Frames
- Data cleaning and preparation with Pandas
- Handling missing data and duplicates
- Data selection, filtering, and indexing
- Merging, joining, and concatenating datasets
- Grouping and aggregating data in Pandas
- Data visualization with basic Pandas plotting