About This Course
Program Overview
A practical internship programme covering data collection, cleaning, spreadsheet-based analysis, charts, dashboards, interpretation and presentation of findings.
Description Blocks
Detailed course highlights
Course Overview
Data Analysis & Data Visualization is a structured 120-hour online internship programme designed to provide practical knowledge, digital learning, guided activities, project experience and employability-oriented skills. The same course content is available to eligible students of all universities and colleges.
Programme Structure
The programme includes 12 hours of recorded video lessons, 8 hours of PDF notes, 5 hours of quiz/MCQ, 20 hours of assignments, 35 hours of field/practical work, 20 hours of project work, 12 hours of report writing, 5 hours of viva preparation and 3 hours of system academic review for Data Analysis & Data Visualization.
Learning Outcomes
What learners gain after completion
Knowledge and Practical Understanding
The student will understand the fundamental concepts, applications and practical workflow of Data Analysis & Data Visualization.
Assignment, Practical and Project Skills
The student will complete structured online assignments, practical activities and a guided project using the prescribed digital formats.
Documentation and Employability Skills
The student will develop documentation, communication, problem-solving, report-writing and workplace-readiness skills.
Assessment and Completion Readiness
The student will complete the automated assessment, viva preparation and system academic review required for successful internship completion.
Certification Details
Recognition and completion benefits
Internship Completion Certificate - Data Analysis & Data Visualization
The certificate will be issued after successful completion of the 120-hour online internship programme in Data Analysis & Data Visualization, including video lessons, PDF notes, quiz/MCQ, assignments, practical activities, project work, report writing, viva preparation and system academic review. Certificate verification will be available through the internship portal.
Course Syllabus
Lesson-wise premium structured outline
Recorded video lessons covering the concepts, tools, applications, examples and guided learning modules of Data Analysis & Data Visualization.
12 Hours
10 Marks
Course-wise PDF notes, reading material, examples, summaries and reference material for Data Analysis & Data Visualization.
8 Hours
5 Marks
Module-wise quiz and MCQ assessments with automated checking, scoring and result calculation.
5 Hours
20 Marks
Structured online assignments related to Data Analysis & Data Visualization with guided instructions, mandatory fields and automated marking rules.
20 Hours
15 Marks
Online field/practical activities, simulations, surveys, case-based exercises and practical worksheets related to Data Analysis & Data Visualization.
35 Hours
20 Marks
A guided major project for Data Analysis & Data Visualization completed through the online project builder with step-wise verification.
20 Hours
15 Marks
Preparation and generation of the final internship report through structured online report-writing sections and prescribed formats.
12 Hours
5 Marks
Course-wise viva preparation, practice questions, scenario-based assessment and online viva test for Data Analysis & Data Visualization.
5 Hours
5 Marks
Automated final review of completion, marks, mandatory activities, total hours, project, report, viva and certificate eligibility.
3 Hours
5 Marks
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