Python & Data Analytics
Technology & Code • Professional Course

Python & Data Analytics

| Data & Programming Bootcamp

Course Description

Foundations of computer science, OOP in Python, data manipulation with NumPy & Pandas, data visualization, and backend REST APIs.

Category:

Technology & Code

Tag:

Online, Live, Python & Data Analytics

Course Overview

Python is celebrated worldwide for its simplicity and formidable power. Whether your ambition is data analytics, automation scripting, or backend software engineering, this course provides an end-to-end practical foundation in Python programming and its rich analytical ecosystem.

What you will learn

  • •Core Python
  • •Object-Oriented Architecture & Unit Testing
  • •Data Manipulation with NumPy
  • •Pandas & Data Cleaning
  • •Interactive Data Visualization with Matplotlib
  • •Seaborn & Plotly
  • •Backend API Development with FastAPI & Relational Databases

Requirements

Complete beginners welcome. No previous programming experience required; all concepts start from absolute zero.

Python & Data Analytics

Program Quick Facts

  • EligibilityPlus Two (+2) / Any Degree / Math or Non-Math
  • Program Duration4 - 6 Months
  • Libraries TaughtPython 3, Pandas, NumPy, FastAPI, Seaborn
  • CertificationWealth Maxima Data & Python Certification
  • Placement SupportDedicated Career Mentorship & Placement
Structured Curriculum

Comprehensive Syllabus & Core Training Modules

Step-by-step syllabus structured by industry specialists to make you completely job-ready.

Module 1

Python Fundamentals & Computational Thinking

Data structures, control flows, functions, lambda expressions, and file I/O operations.

Module 2

Object-Oriented Programming (OOP) & Modules

Classes, inheritance, polymorphism, encapsulation, exception handling, and custom modules.

Module 3

Data Science Libraries (NumPy & Pandas)

Multidimensional arrays, data cleaning, filtering, joins, pivot tables, and time-series analysis.

Module 4

Data Visualization & Exploratory Data Analysis (EDA)

Chart design principles, distribution analysis, correlation heatmaps, and dashboarding.

Module 5

Web Scraping & Backend REST APIs

BeautifulSoup, Requests, Selenium web automation, and building REST APIs with FastAPI.

Module 6

Capstone Business Intelligence Project

Analyzing complex real-world datasets to extract actionable business insights and forecasts.

Employment Scope

Career Pathways & Placement Scope

Our curriculum is tailored directly to international corporate hiring standards, providing direct placement opportunities in India and the Gulf region (UAE, Saudi Arabia, Qatar).

100%
Career Assistance
500+
Hiring Partners
Data Analyst

Transforming raw business data into actionable dashboards and strategic insights.

Python Backend Developer

Developing clean, efficient server-side scripts, scrapers, and APIs.

Business Intelligence Associate

Building executive KPI reports and automated metrics pipelines.

Automation Engineer

Writing automated scripts to eliminate manual business and data workflows.

Got Questions?

Frequently Asked Questions

Everything you need to know about our Python & Data Analytics curriculum, practical projects, admissions, and placement assistance.

Yes! Python is celebrated for its clear, readable syntax. We start with fundamental variables, control flow, functions, and Object-Oriented Programming (OOP) before advancing to complex libraries.

Still Have Questions?

Speak directly with our academic career counselor to discuss course syllabus, fee structures, batch timings, or scholarship options.

Campus: Nilamel, Kollam, KeralaHelpline: +91 95441 96970