Module 1
Python basics, notebooks, functions, file handling, packages, and reusable analysis scripts.
Data - 20 weeks
Data Science with Python
Python data analysis, visualization, machine learning, dashboards, business reporting, and portfolio-ready projects.
Detailed course syllabus
Module 2
Data cleaning, pandas, NumPy, joins, grouping, missing values, and exploratory analysis.
Module 3
Visualization, dashboards, storytelling, business metrics, and reporting workflows.
Module 4
Machine learning models, evaluation, feature preparation, regression, classification, and clustering.
Module 5
Project deployment, model demos, documentation, portfolio presentation, and interview preparation.
Career outcomes
What this course prepares you for
Use Python, pandas, visualization, dashboards, and machine learning basics for business data problems.
Clean messy datasets, explain insights, evaluate models, and present findings clearly.
Prepare for data analyst, junior data science, reporting, and analytics internship roles.
Live class discipline with assignments, doubt solving, reviews, and progress visibility.
Production thinking around security, performance, documentation, and handoff quality.
Portfolio-ready work that can be shown during internship, freelance, or job interviews.
Portfolio projects
Practical work included
Data cleaning notebookVisualization reportML model demoBusiness dashboardFinal analytics case study
How you learn
Live web classes, assignments, doubt solving, project reviews, and daily progress reports.
Student portal
After payment your student details, class links, fee records, notes, and certificates are available in one portal.
Live class safety
Classes use browser controls, watermarking, copy blocking, visibility checks, and recording deterrents.
Unlimited learning
Course support continues until the student learns properly, but 25 to 30 days of no lecture attendance or no communication can cancel access unless a valid holiday, legal, medical, mandatory, student-side, or teacher-side exception is approved.