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Python for Data Analytics — Foundation Certification (SDT-PYDA)

An entry-level Python programming course that serves as the on-ramp into the Data Science & Machine Learning track for students with no prior coding background. Tools & Platforms: Python, Jupyter Notebook, Pandas, Matplotlib

₹23,700
₹21,330
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Python for Data Analytics — Foundation Certification (SDT-PYDA)
6 Months Duration
Live + Recorded
Max 30 Students
Govt. Certified
100% Job Assistance Dedicated placement support
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Practical Learning Real-world projects &
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Learning Outcomes

  • Write basic Python programs using variables, functions, and control flow
  • Clean and analyse real-world datasets using Pandas
  • Produce clear data visualisations and a written analysis summary

Course Objectives

  • Build foundational Python programming skills with no prior coding background required
  • Develop practical ability to clean, explore, and visualise data using Python
  • Prepare students for progression into the Data Science & Machine Learning track

Applications in Industry

  • Entry point into data analyst and junior programming roles
  • Foundation for further study in data science, ML, or software development
  • Independent data analysis for academic or personal projects

Course Content — Modules

  • Python basics: variables, data types, operators, control flow
  • Functions, loops, and basic error handling
  • Introduction to Jupyter Notebook environment
  • Working with lists, dictionaries, and basic data structures
  • Reading and writing data files (CSV, Excel) with Python
  • Foundations Recap & Concept Check
  • Introduction to Pandas: dataframes, filtering, grouping
  • Data cleaning with Python (handling nulls, duplicates, type conversion)
  • Data visualisation with Matplotlib/Seaborn basics
  • Basic statistical analysis using Python
  • Writing reusable functions for common data tasks
  • Introduction to APIs and pulling external data into Python
  • Skill Consolidation Workshop
  • Applied Mini-Exercise / Practice Lab
  • Case Study: Cleaning and analysing a messy real-world dataset
  • Case Study: Building a basic visual report from survey data
  • Cross-Case Synthesis & Group Presentation
  • Capstone Kickoff & Problem Scoping
  • Capstone Development — Core Build (Python for Data Analytics — Foundation Certification)
  • Capstone Review & Mentor Feedback
  • Capstone Finalisation & Presentation
  • Resume, Portfolio & LinkedIn Refresh
  • Mock Interview Rounds & Feedback
  • Capstone Presentation — Mock Panel Pitch

No certificate samples available yet.

Course Delivery Format

Duration6 months (100 hours total)
ModeOnline Live Classes + Recorded Lectures
ScheduleWeekend & Weekday Evening Batches
Batch SizeMaximum 30 students

Prerequisites

  • Laptop/Desktop with stable internet connection
  • Basic English proficiency
  • Willingness to dedicate 4–5 hours weekly
  • No prior technical knowledge required

Investment & Scholarships

Course Fee ₹23,700  ₹21,330
EMI OptionsAvailable
ScholarshipsMerit-based & Need-based
Early Bird15% Discount

Certification

  • Course Completion Certificate
  • Industry-recognized certifications
  • LinkedIn badge
  • Project completion certificates

Placement Support

  • Resume building & LinkedIn optimization
  • Mock interviews & soft skills training
  • Access to job portal with 200+ partners
  • Networking sessions with industry professionals
  • Lifetime placement assistance

Learning Support

  • 24/7 access to recorded lectures
  • Doubt clearing sessions twice weekly
  • Dedicated mentor support
  • Peer learning community
  • Monthly industry expert guest lectures