DSPython Logo DSPython
2025 Roadmap Updated

Master Python, SQL
& Data Science

From your first line of code to deploying Machine Learning models. A career-focused platform for students.

Start Learning Challenges 
import dspython as ds

# Step 1: Initialize
student = ds.Student("You")

# Step 2: Upgrade Skills
student.learn("Python")
student.learn("SQL")
student.master("Machine_Learning")

# Step 3: Success
print("Future Ready! 🚀")
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The Roadmap

Structured Curriculum

Module 1: Python Core

11 Topics

Variables

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Conditionals

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Control Stmts

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For Loops

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While Loops

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Functions

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Data Structs

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Exceptions

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File Handling

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OOP

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Modules

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Module 2: Data Cleaning

8 Topics

Intro to Cleaning

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Pandas Start

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Missing Values

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Duplicates

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Type Convert

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Outliers

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Transformation

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Merging DF

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Module 3: EDA & Visualization

5 Topics

EDA Intro

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Univariate

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Bivariate (Num)

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Bivariate (Cat)

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Multivariate

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Module 4: SQL Masterclass

12 Topics

SQL Intro

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Basic Queries

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Aggregates

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Joins

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DML (Insert/Upd)

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Subqueries

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Set Ops

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Window Funcs

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DDL (Create/Drop)

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Views

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Triggers

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Transactions

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Module 5: Supervised Learning

9 Topics

Intro

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Linear Reg

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Logistic Reg

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Decision Tree

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Random Forest

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SVM

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KNN

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Naive Bayes

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Evaluation

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Module 6: Advanced AI & DL

12 Topics

Clustering

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Dim Reduction

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Neural Nets

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Ensemble

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Feature Eng

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Anomaly Det

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Time Series

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Recommender

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NLP Basics

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Deep Learning

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Deployment

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DL Intro

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Practice & Exams

2 Items

Excel Practice

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Python Exam

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Test Your Skills

Challenge Zone

Real-world scenarios designed to test your coding limits.

PRO

Syntax Sprint

Rapid fire Python basics. How fast can you code?

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EPIC

Data Cleaning

Fix the messy dataset with Pandas and regex.

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LEGENDARY

ML Boss Fight

Build a full pipeline from CSV to Prediction.

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