Data ScienceDuration: 2 Months
Data Science & Business Analytics
4.88
Master Python, NumPy, Pandas, statistics, data cleaning, data visualization, SQL queries and machine learning models through practical analytics projects.
Career Outcomes & Job Roles:
🎯 Data Science Intern🎯 Data Analyst Intern🎯 Junior Data Analyst🎯 Entry-Level Data Science Roles
Skill LevelBeginner to Advanced
Program Duration2 Months (5 Modules)
Official Contactinfo@visionspark.co.in
PRACTICAL-FIRST METHODOLOGY
Standard 90-Minute Daily Class Format
Learn → Code → Practice → Challenge → Build → Review → Improve
15 MINPhase 1
Concept / Shortcut
Concept, syntax, theory, formulas, shortcuts & approach.
45 MINPhase 2
Live Problem Solving
Instructor demonstrates while students follow along & write code.
15 MINPhase 3
Timed Challenge
Independently solve a short coding problem or assessment.
15 MINPhase 4
Q&A / Discussion
Discuss mistakes, answer questions & clarify concepts.
Comprehensive Syllabus
Course Structure & Curriculum
Explore each module in the complete training syllabus. Click or scroll on the roadmap to preview detailed topics, practical chapters, and key skills.
Module 01Part 1 of 5
Core SyllabusModule 1: Python & Data Science Fundamentals (Days 1–12)
Topics6 Chapters
StageFoundational
DeliveryPractical & Live
Detailed Module Topics & Sub-Topics (Click to expand):▼ View Sub-Topics▼ View Sub-Topics▼ View Sub-Topics▼ View Sub-Topics▼ View Sub-Topics▼ View Sub-Topics
1
Python installation, environment setup (VS Code/Jupyter)2
Python basics: Variables, Data types, Operators, Conditions, Loops, Functions3
Data structures: Lists, Dictionaries, File handling, Modules, OOP basics4
Introduction to Data Science: Workflow, Data collection, Data preparation5
Basic NumPy & Basic statistics6
Mini Projects: Student Data Program, Expense Calculator, Statistics CalculatorModule 1 of 5
Interactive Learning JourneyScroll or click (1-5)
Selected: Module 11 of 5 Modules