2026 Roadmap Updated
Master Python, SQL
& Data Science
From your first line of code to deploying Machine Learning models. A career-focused platform for students.
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! 🚀")
The Roadmap
Structured Curriculum
Module 1: Python Core
Module 2: Statistics and Probability
Statistics Introduction
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Measures of Central Tendency
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Measures of Dispersion
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Probability Basics
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Probability Distributions
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Binomial & Poisson Distributions
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Normal Distribution
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Sampling & CLT
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Hypothesis Testing
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Correlation
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Covariance
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Regression
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ANOVA
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Module 3: Data Cleaning
Module 4: EDA & Visualization
Module 5: SQL Masterclass
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 6: Supervised Learning
Module 7: Advanced AI & DL
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
Test Your Skills
Challenge Zone
Real-world scenarios designed to test your coding limits.