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Beginner → Intermediate

Python for Data Science

Master Python specifically for data work — from handling files and cleaning data to analysis-ready datasets used in analytics and machine learning.

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6–8
Weeks
4+
Projects
Core
Foundation

Overview

This course focuses on Python as a data tool — not generic programming. You’ll learn exactly what analysts and data scientists use daily.

Python basics

Syntax, loops, functions, and structured programming.

Data handling

Work with CSV, Excel, and structured datasets.

Outcome

Confidence to analyze datasets independently using Python.

Curriculum

Progressive structure from basics to applied data workflows.

Module 1

Python Foundations

  • Variables, data types, conditions
  • Loops, functions, modules
  • Debugging and error handling
Module 2

Working with Files

  • CSV and Excel handling
  • Reading large datasets
  • Basic file automation
Module 3

Pandas & NumPy

  • DataFrames and indexing
  • Grouping and aggregation
  • Handling missing values
Module 4

Data Cleaning

  • Outliers and duplicates
  • Formatting inconsistencies
  • Exporting clean datasets

Weekly deliverables

Coding assignments + applied mini projects.

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Portfolio Projects

Code-first projects that prepare you for analytics & ML.

Data Cleaning Pipeline

Python

Clean messy datasets using Pandas and export analysis-ready data.

  • Missing values
  • Duplicates
  • Formatting fixes

Exploratory Analysis

Python

Explore datasets and extract insights programmatically.

  • Grouping
  • Aggregations
  • Summaries

Automation Script

Python

Automate repetitive data tasks using Python scripts.

  • File processing
  • Scheduled tasks
  • Reusable code

Pricing

Simple, transparent pricing.

Starter

₹5,999

Self-paced

  • Full curriculum
  • Assignments
  • Community access
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Best Value

Mentored

₹11,999

Job-focused

  • Weekly mentor sessions
  • Project reviews
  • Career guidance
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Team

Custom

Institutes & orgs

  • Custom batches
  • Reporting
  • Bulk pricing
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