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Hands-on Data Skills: Python Programming, SQL Queries & Oracle Database
This course is designed for anyone who wants to learn practical data skills using Python, SQL, and Oracle databases. Whether you're a complete beginner or looking to strengthen your data handling skills, I’ll guide you step-by-step through core concepts and real-world projects.
You'll learn:
Python programming basics and data analysis tools for data science, data engineering and data analytics
SQL queries: SELECT, JOIN, GROUP BY, procedures, Functions and subqueries
How to work with Oracle Database: tables, indexes, stored procedures
Real-world use cases from business and data science
Best practices for clean, efficient, and scalable code
Lessons are project-based and tailored to your skill level, whether you're in school, switching careers, or preparing for a job in data or IT.
You'll learn:
Python programming basics and data analysis tools for data science, data engineering and data analytics
SQL queries: SELECT, JOIN, GROUP BY, procedures, Functions and subqueries
How to work with Oracle Database: tables, indexes, stored procedures
Real-world use cases from business and data science
Best practices for clean, efficient, and scalable code
Lessons are project-based and tailored to your skill level, whether you're in school, switching careers, or preparing for a job in data or IT.
Extra information
Lectures will be OnlineLocation
Online via webcam
General info
Age: | Children (7-12 years old) Teenagers (13-17 years old) Adults (18-64 years old) Seniors (65+ years old) |
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Student level: | Beginner Intermediate Advanced |
Duration: | 30 minutes 45 minutes 60 minutes 90 minutes 120 minutes |
The class is taught in: | English, Urdu, Hindi |
About Me
I'm a certified Data Scientist, Data Engineer, and Data Analyst with over 5 years of teaching and industry experience. I’ve taught students and professionals from around the world — helping them learn Python, SQL, databases, data analytics, and cloud technologies with confidence.My teaching style is hands-on, project-based, and tailored to each student’s level — whether you're a complete beginner, university student, or a working professional. I believe in learning by doing, and my sessions focus on solving real-world problems using tools like Python, Power BI, SQL, and Oracle.
I've led corporate training, internship programs, and 1-on-1 online tutoring sessions, and many of my students now work in tech, banking, and multinational companies.
If you're looking for personalized, practical lessons that focus on results and clarity, I’d love to help you reach your learning goals.
Education
Bachelor's in Computer Science (CGPA: 3.78/4.0) from Virtual University of Pakistan.Focused on software development, databases, data structures, and applied machine learning. Developed strong foundations in programming (Python, C++, Java), SQL, and algorithmic thinking. Participated in academic projects related to data analysis and automation.
Experience / Qualifications
5+ Teaching ExperienceOracle Certified Data Science Professional
Certified Automation Engineer
Certified Python Developer
Certified Oracle Database Professional
Learn
Python
SQL
Power BI
Excel
Data Science
Data Engineering
Data Analytics
Data Modeling
Data Warehousing
ETL
API's
Machine Learning
Lecture will be Hands-on, beginner friendly, solving real world problems just like I do in my job. So, if you’re just starting out like college, university student, switching careers, or preparing for a job in data field — book a trial lesson, and let’s begin your journey together. I look forward to seeing you in class!
Ask a question
Send a message explaining your needs and Numan will reply soon:
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Ex. "Hi, when are you available to meet for a lesson?"
Ex. "Hi, when are you available to meet for a lesson?"
Availability of a typical week
(GMT -04:00) New York
Mon | Tue | Wed | Thu | Fri | Sat | Sun | |
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0 | Monday at 0:00 | Tuesday at 0:00 | Wednesday at 0:00 | Thursday at 0:00 | Friday at 0:00 | Saturday at 0:00 | Sunday at 0:00 |
1 | Monday at 1:00 | Tuesday at 1:00 | Wednesday at 1:00 | Thursday at 1:00 | Friday at 1:00 | Saturday at 1:00 | Sunday at 1:00 |
2 | Monday at 2:00 | Tuesday at 2:00 | Wednesday at 2:00 | Thursday at 2:00 | Friday at 2:00 | Saturday at 2:00 | Sunday at 2:00 |
3 | Monday at 3:00 | Tuesday at 3:00 | Wednesday at 3:00 | Thursday at 3:00 | Friday at 3:00 | Saturday at 3:00 | Sunday at 3:00 |
4 | Monday at 4:00 | Tuesday at 4:00 | Wednesday at 4:00 | Thursday at 4:00 | Friday at 4:00 | Saturday at 4:00 | Sunday at 4:00 |
5 | Monday at 5:00 | Tuesday at 5:00 | Wednesday at 5:00 | Thursday at 5:00 | Friday at 5:00 | Saturday at 5:00 | Sunday at 5:00 |
6 | Monday at 6:00 | Tuesday at 6:00 | Wednesday at 6:00 | Thursday at 6:00 | Friday at 6:00 | Saturday at 6:00 | Sunday at 6:00 |
7 | Monday at 7:00 | Tuesday at 7:00 | Wednesday at 7:00 | Thursday at 7:00 | Friday at 7:00 | Saturday at 7:00 | Sunday at 7:00 |
8 | Monday at 8:00 | Tuesday at 8:00 | Wednesday at 8:00 | Thursday at 8:00 | Friday at 8:00 | Saturday at 8:00 | Sunday at 8:00 |
9 | Monday at 9:00 | Tuesday at 9:00 | Wednesday at 9:00 | Thursday at 9:00 | Friday at 9:00 | Saturday at 9:00 | Sunday at 9:00 |
10 | Monday at 10:00 | Tuesday at 10:00 | Wednesday at 10:00 | Thursday at 10:00 | Friday at 10:00 | Saturday at 10:00 | Sunday at 10:00 |
11 | Monday at 11:00 | Tuesday at 11:00 | Wednesday at 11:00 | Thursday at 11:00 | Friday at 11:00 | Saturday at 11:00 | Sunday at 11:00 |
12 | Monday at 12:00 | Tuesday at 12:00 | Wednesday at 12:00 | Thursday at 12:00 | Friday at 12:00 | Saturday at 12:00 | Sunday at 12:00 |
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23 | Monday at 23:00 | Tuesday at 23:00 | Wednesday at 23:00 | Thursday at 23:00 | Friday at 23:00 | Saturday at 23:00 | Sunday at 23:00 |
from 26€Online via webcam
100% Satisfaction Guarantee
Good-fit Instructor Guarantee
If you are not satisfied after your first lesson, Apprentus will find you another instructor or will refund your first lesson.
Online reputation
- Instructor since July 2025
- Phone number verified
Availability of a typical week
(GMT -04:00) New York
Mon | Tue | Wed | Thu | Fri | Sat | Sun | |
---|---|---|---|---|---|---|---|
0 | Monday at 0:00 | Tuesday at 0:00 | Wednesday at 0:00 | Thursday at 0:00 | Friday at 0:00 | Saturday at 0:00 | Sunday at 0:00 |
1 | Monday at 1:00 | Tuesday at 1:00 | Wednesday at 1:00 | Thursday at 1:00 | Friday at 1:00 | Saturday at 1:00 | Sunday at 1:00 |
2 | Monday at 2:00 | Tuesday at 2:00 | Wednesday at 2:00 | Thursday at 2:00 | Friday at 2:00 | Saturday at 2:00 | Sunday at 2:00 |
3 | Monday at 3:00 | Tuesday at 3:00 | Wednesday at 3:00 | Thursday at 3:00 | Friday at 3:00 | Saturday at 3:00 | Sunday at 3:00 |
4 | Monday at 4:00 | Tuesday at 4:00 | Wednesday at 4:00 | Thursday at 4:00 | Friday at 4:00 | Saturday at 4:00 | Sunday at 4:00 |
5 | Monday at 5:00 | Tuesday at 5:00 | Wednesday at 5:00 | Thursday at 5:00 | Friday at 5:00 | Saturday at 5:00 | Sunday at 5:00 |
6 | Monday at 6:00 | Tuesday at 6:00 | Wednesday at 6:00 | Thursday at 6:00 | Friday at 6:00 | Saturday at 6:00 | Sunday at 6:00 |
7 | Monday at 7:00 | Tuesday at 7:00 | Wednesday at 7:00 | Thursday at 7:00 | Friday at 7:00 | Saturday at 7:00 | Sunday at 7:00 |
8 | Monday at 8:00 | Tuesday at 8:00 | Wednesday at 8:00 | Thursday at 8:00 | Friday at 8:00 | Saturday at 8:00 | Sunday at 8:00 |
9 | Monday at 9:00 | Tuesday at 9:00 | Wednesday at 9:00 | Thursday at 9:00 | Friday at 9:00 | Saturday at 9:00 | Sunday at 9:00 |
10 | Monday at 10:00 | Tuesday at 10:00 | Wednesday at 10:00 | Thursday at 10:00 | Friday at 10:00 | Saturday at 10:00 | Sunday at 10:00 |
11 | Monday at 11:00 | Tuesday at 11:00 | Wednesday at 11:00 | Thursday at 11:00 | Friday at 11:00 | Saturday at 11:00 | Sunday at 11:00 |
12 | Monday at 12:00 | Tuesday at 12:00 | Wednesday at 12:00 | Thursday at 12:00 | Friday at 12:00 | Saturday at 12:00 | Sunday at 12:00 |
13 | Monday at 13:00 | Tuesday at 13:00 | Wednesday at 13:00 | Thursday at 13:00 | Friday at 13:00 | Saturday at 13:00 | Sunday at 13:00 |
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23 | Monday at 23:00 | Tuesday at 23:00 | Wednesday at 23:00 | Thursday at 23:00 | Friday at 23:00 | Saturday at 23:00 | Sunday at 23:00 |
from 26€Online via webcam
Good-fit Instructor Guarantee
If you are not satisfied after your first lesson, Apprentus will find you another instructor or will refund your first lesson.
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At the end of the course, participants will be able to:
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1. Introduction (10-15 min)
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- First program: *"Hello, World!"*.
2. Python Basics (20-30 min)
- Variables and data types (integers, strings, lists).
- Mathematical operations and data manipulation.
- Conditional structures (if/else) and loops (for/while).
3. Practical exercises (20-35 min)
- Write a program to calculate the sum of two numbers provided by the user.
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4. Q&A and conclusion (5-10 min)
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- Feedback on the course.
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Teaching methodology
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Target audience
This course is ideal for:
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Benefits of this online course
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