Next batch: November 3, 2025
Start your data science journey from zero. No coding or math background needed! Learn Python, data cleaning, visualization, basic statistics, and build your first machine learning model—all step-by-step with hands-on practice.
2 Classes per Week • 8:00 PM - 9:30 PM (PST)
© 2025 TechyCamp. All rights reserved.
Prerequisites
Basic computer skills and internet navigation
No coding experience required—we start from scratch
No math background needed—we teach what you need
Enthusiasm to learn and work with data
Learning Outcomes
Industry-relevant skills that companies actually need
Python Programming
Write Python code confidently to load, clean, analyze, and visualize data using industry-standard libraries.
Data Cleaning & Transformation
Handle messy real-world data: remove duplicates, fix missing values, and prepare datasets for analysis.
Visual Storytelling
Create professional charts and visualizations that communicate insights effectively to any audience.
Machine Learning Basics
Build and train simple ML models using Scikit-learn to make predictions from data.
Course Curriculum
Structured curriculum designed to take you from fundamentals to job-ready skills
Start your journey by understanding what data scientists do and learning Python from scratch. No prior coding experience needed—we'll guide you step by step.
Session 1A: What is Data Science? Real-world applications and workflow overview
Session 1B: Python basics (syntax, variables, data types, loops, functions)
Hands-on: Write your first Python code in Google Colab
Assignment
Quiz
Learn to work with datasets like Excel files using Python's Pandas library. Master data loading, viewing, and essential cleaning operations.
Session 2A: Pandas basics (loading CSV/Excel files, viewing data, basic operations)
Session 2B: Data cleaning (removing duplicates, handling missing values, fixing column names)
Hands-on: Clean a real messy dataset
Assignment
Quiz
Transform numbers into compelling visual stories. Create professional charts that communicate insights effectively using Matplotlib and Seaborn.
Session 3A: Matplotlib basics (bar charts, line plots, scatter plots)
Session 3B: Advanced visuals with Seaborn (histograms, boxplots, heatmaps)
Hands-on: Build a visual dashboard for your dataset
Assignment
Quiz
Understand the statistics behind data insights. Learn to calculate and interpret key metrics that data scientists use daily—explained in simple terms.
Session 4A: Basic statistics (mean, median, mode, standard deviation, correlation)
Session 4B: Applying statistics to real datasets to discover insights
Hands-on: Statistical analysis of real-world data
Assignment
Quiz
Build your first machine learning model! Learn what ML is, how it works, and create a model that makes predictions. Complete your capstone project.
Session 5A: ML fundamentals and building your first Linear Regression model with Scikit-learn
Session 5B: Beginner Capstone Project (clean, visualize, analyze dataset, and train ML model)
Hands-on: Complete end-to-end data science project
Assignment
Quiz
Data Scientist
Sehar is an experienced Data Scientist with a strong background in statistical analysis and machine learning. She has worked with various organizations to implement data-driven solutions and has a passion for teaching complex concepts in an accessible way. Her expertise spans from data preprocessing to visualization and model deployment.
Expertise
4+
Years in Data Science
50+
Data Projects Completed
Course Investment
Join hundreds of students who have transformed their careers through hands-on learning and expert mentorship.
PKR 4,999
One-time payment • No hidden fees
Monday, Wednesday • 8:00 PM - 9:30 PM (PST) • 5 Weeks
What's Included
20+ live interactive sessions
Personal mentor (weekly 1-on-1s)
Real-world capstone project
Lifetime community access
Have Questions?
Find answers to common questions about the course, enrollment, and what to expect
Absolutely! This course is specifically designed for complete beginners with no coding background. We start from Python basics and build up gradually. Everything is explained in simple terms with hands-on practice. Thousands of people with no tech background have successfully learned data science—you can too!
No! You don't need any advanced math background. We teach the basic statistics you need during the course, explained in simple, non-technical language with practical examples. If you can use Excel, you have enough math background for this course.
You only need a computer with internet access and a web browser. We use Google Colab (free, browser-based Python environment) so you don't need to install anything. All the tools we use (Python, Pandas, Matplotlib, Seaborn, Scikit-learn) are completely free and open-source.
The course includes two 1.5-hour live sessions per week. We recommend spending an additional 3-5 hours per week on practice exercises and assignments. The more you practice with real datasets, the faster you'll build confidence and skills.
Yes! This course teaches you the fundamental skills companies look for in entry-level data analyst positions: Python, Pandas, data cleaning, visualization, and basic machine learning. You'll complete multiple projects that you can showcase in your portfolio to demonstrate your abilities to potential employers.
All sessions are recorded and available within 24 hours. You can watch them anytime at your own pace. However, we strongly encourage attending live to ask questions in real-time, participate in discussions, and learn from other students' questions.
You'll work with real-world datasets throughout the course. Projects include cleaning messy data, creating visualization dashboards, performing statistical analysis, and building machine learning models to make predictions. Your capstone project will combine all these skills into one comprehensive portfolio piece.
Yes! Upon successfully completing all assignments and the capstone project, you'll receive a certificate of completion from TechyCamp. You can add this to your LinkedIn profile and resume to showcase your data science skills to employers.
Absolutely! Python is the most popular language for data science and is used by companies like Google, Netflix, and Uber. It has powerful libraries (Pandas, NumPy, Scikit-learn) that make data analysis easy. Learning Python opens doors to data analyst, data scientist, and ML engineer roles.
Yes! You'll have access to our Discord community where you can ask questions, share your work, get feedback from instructors and peers, and collaborate with fellow learners. Many students form study groups and help each other throughout the week.
After mastering the fundamentals, you can advance to our Practitioner/Advanced Data Science course which covers advanced ML algorithms (XGBoost, Random Forests), model optimization, PowerBI dashboards, and ML Ops. Many students also pursue internships or entry-level data analyst positions to gain real-world experience.
Yes! Once enrolled, you get lifetime access to all recordings, code examples, datasets, and course resources. You can revisit any topic anytime, and you'll receive updates as we enhance the course content with new examples and techniques.
