Learn Python.
Build Projects.
An 8-week practical Python & Data Analysis course designed for students who want to build strong programming fundamentals and apply them to real-world datasets.
import pandas as pd
import matplotlib.pyplot as plt
# 1. Load real-world dataset
df = pd.read_csv("academic_scores.csv")
# 2. Clean missing data & filter
df_clean = df.dropna().query("attendance >= 75")
# 3. Exploratory insights
avg_score = df_clean["grade"].mean()
print(f"Analyzed {len(df_clean)} verified records.")8-Week Python & Data Analysis Course
Start with Python fundamentals and gradually learn the tools used for working with and understanding data.
Build Strong Practical Foundations
Designed specifically for beginners and college students, this course bridges the gap between learning syntax and solving problems with data. You will write code from Day 1 and culminate your learning in a comprehensive portfolio-ready Exploratory Data Analysis project.
What You'll Learn
A comprehensive, modular curriculum carefully balanced between foundational programming and real-world data skills.
Python
- Variables
- Data types
- Conditions
- Loops
- Functions
- Problem solving
NumPy
- Arrays
- Indexing
- Slicing
- Numerical operations
Pandas
- Series
- DataFrames
- Data cleaning
- Filtering
- Data manipulation
Matplotlib
- Charts
- Visualization
- Customizing plots
Exploratory Data Analysis
- Understanding datasets
- Finding patterns
- Handling missing values
- Drawing insights
Projects
- Apply concepts to practical datasets
- Build a final EDA project
8-Week Roadmap
A clear timeline engineered to guide you from your very first line of code to presenting complete data insights.
Python Fundamentals
Setting up environment, understanding variables, strings, integers, floats, and basic arithmetic.
Conditions, Loops & Problem Solving
Mastering if-else logic, while & for loops, nested control flow, and algorithmic thinking.
Lists, Tuples, Sets & Dictionaries
Working with key Python data structures, indexing, slicing, and organizing structured records.
Functions, Modules & File Handling
Writing reusable functions, importing standard modules, and reading & writing text and CSV files.
NumPy
Multi-dimensional ndarrays, vectorized operations, slicing matrices, and mathematical statistics.
Pandas
DataFrames, handling missing values, filtering rows, grouping data, and transformations.
Matplotlib & Exploratory Data Analysis
Line plots, bar charts, histograms, scatter plots, trend identification, and pattern detection.
Final Project & Presentation
End-to-end dataset investigation, finding key insights, documentation, and sharing findings.
Learn by Building
Theory without application quickly fades. At Learvion, you'll apply concepts through continuous exercises and build an end-to-end Exploratory Data Analysis project.
The Exploratory Data Analysis (EDA) Workflow
Every student learns to take a raw, untamed dataset through the complete analytical life cycle:
Student Performance Analysis
Clean test scores and attendance records. Detect outliers, handle null entries, and determine the key study factors influencing high achievement.
E-Commerce Trends Explorer
Transform sales transactions into visual stories. Build informative bar charts and histograms revealing customer buying habits across seasons.
Capstone EDA Project
Pick an open dataset of your personal interest, apply everything you learned from Week 1 to 7, and present meaningful data-backed observations.
Why Learvion
We focus on honest, student-first education without confusing jargon or over-the-top marketing claims.
Practical Learning
Focus on applying concepts instead of memorizing syntax.
Structured Learning
Follow a clear 8-week learning path.
Beginner Friendly
Start from fundamentals and progress step by step.
Build Projects
Use what you learn to work with real datasets.
About Learvion Code School
Learvion Code School is a student-focused coding initiative created to make programming practical, understandable, and accessible.
Learvion starts with Python and focuses on helping learners develop programming fundamentals, data-analysis skills, and project experience.
Accessible Education
High quality foundational coaching at an honest ₹3,000 price point for students.
No False Promises
No fake job guarantees or buzzwords. Just genuine skills, code reviews, and real learning.
Mentorship & Support
Doubt assistance throughout the 8 weeks so you never stay stuck on an error.
Pricing & Enrollment
One single, transparent fee. No recurring subscriptions, no hidden platform charges.
8-Week Python & Data Analysis Course
- 8-week structured curriculum
- Python fundamentals
- NumPy
- Pandas
- Matplotlib
- Exploratory Data Analysis
- Practical exercises
- Final project
Pay ₹3,000 to Enroll
Pay easily using any UPI application (FamPay, Google Pay, PhonePe, Paytm, or BHIM).
Enrollment Instructions
Follow these 5 simple steps to register for the upcoming batch:
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Scan the QR code using your supported UPI app (FamPay, GPay, PhonePe, Paytm).
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Pay ₹3,000 toward your course enrollment.
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Save your transaction/reference ID (12-digit UTR/UPI Ref number) and take a payment screenshot.
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Complete the registration form in the next section to submit your details.
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Payment will be manually verified by our team, and your onboarding email will be sent promptly.
Complete Registration
After payment, complete the registration form to submit your enrollment details.
Frequently Asked Questions
Find answers to common questions regarding course duration, prerequisites, and payment verification.
8 weeks.
Beginners and students who want to learn Python and introductory data analysis.
₹3,000.
No. The course begins with fundamentals.
Python, NumPy, Pandas, Matplotlib and Exploratory Data Analysis.
Make the payment, save the transaction/reference ID, and complete the registration form.
Payments are manually verified after registration.