Python Internship: Master Python + NumPy + Pandas

Presented by: MR. KHAN - Founder & Instructor

SkillXAcademy, founded in 2025, bridges the gap between academics and industry by teaching coding, problem-solving, and data analytics through a practical approach.

About SkillXAcademy

SkillXAcademy helps students gain real-world experience and confidence in technology.
Mission: To teach students coding and analytical thinking that help them get placed and build impactful careers.

Program Outcome (2-Months)

Write strong Python code

Perform numerical computing with NumPy

Do data analysis & cleaning using Pandas

Handle real-world datasets

Be ready for Data Science, ML & internships

2-Month Python, NumPy & Pandas Program

Month 1 – Python Foundations (Day 1–30)

Week 1 (Day 1–7): Python Basics

  • Python intro, setup, variables, data types
  • Operators, if-else
  • for & while loops
  • Lists & list methods
  • Tuple, Set, Dictionary
  • Functions, lambda
  • File handling, revision, test

Week 2 (Day 8–14): Python Intermediate

  • Strings & string methods
  • List & dict comprehension
  • Exception handling
  • Modules & packages
  • OOP (class & object)
  • Inheritance & polymorphism
  • Mini project + assessment

Week 3 (Day 15–21): Python Advanced

  • Advanced functions
  • Recursion
  • File handling with CSV
  • Working with JSON
  • Python performance tips
  • Coding practice session
  • Python interview questions

Week 4 (Day 22–30): NumPy

  • NumPy intro & installation
  • NumPy arrays & types
  • Indexing, slicing, reshaping
  • Array operations & broadcasting
  • Math & statistical functions
  • Random module & masking
  • Sorting, searching
  • Linear algebra
  • NumPy mini project + test

Month 2 – Pandas + Projects (Day 31–60)

Week 5 (Day 31–37): Pandas Basics

  • Pandas intro, Series
  • DataFrames basics
  • Reading CSV & Excel
  • Data inspection
  • Indexing & selection
  • Filtering & sorting
  • Weekly test

Week 6 (Day 38–44): Data Cleaning

  • Missing values
  • Duplicates & replacements
  • Column operations
  • Applying functions
  • Date & time handling
  • Categorical data
  • Practice dataset

Week 7 (Day 45–51): Data Analysis

  • GroupBy basics
  • Aggregations
  • Merging & joining
  • NumPy with Pandas
  • Exploratory Data Analysis
  • Case study (sales/student data)
  • Weekly assessment

Week 8 (Day 52–60): Projects & Industry Prep

  • Project planning
  • Major project development
  • Project testing
  • Project documentation
  • Resume building
  • Interview Q&A (Python, NumPy, Pandas)
  • Final evaluation & certification

Tools

Python, NumPy, Pandas, Jupyter Notebook / Google Colab / VS Code

Certification: Python, NumPy & Pandas – 2-Month Internship Program

Contact & Registration

Admission Director: Mr. Arqum Qazi

Mobile: 9036663059

Register for the internship below:

Register Now