Description

Course Name: Professional Diploma in Data Analytics

Global Occupational Skill Standard – GOSS ID: GOSS/PD-AID-DA-008

Eligibility: 10+2 or equivalent

Language Type: English

Course Type: Self-Paced Online Learning

Objective: The Professional Diploma in Data Analytics aims to equip learners with the knowledge and practical skills required to collect, process, analyze, and interpret data effectively. The course focuses on data visualization, statistical analysis, analytical tools, reporting techniques, and real-world applications of data analytics to support informed decision-making and business improvement.

Duration: 6 Months / 370 Hours

Steps to become a GSDCI Certified Professional:

Step 1: Select your Course you want to pursue.

Step 2: Click on get Enroll Now tab, new pop up window will open.

Step 3: Click on pay Course fee, you will be redirected to billing details page.

Step 4: Fill your details and click on pay course fee, you will be redirected to payment gateway, pay fee by any available options like Card (Debit/Credit), Wallet, Paytm, Net banking, UPI and Google pay.

Step 5: You will get Login Credentials of Online E-Books and Online assessment link on your email id, within 48 hrs of payment.

Step 6: After completion of the online assessment, the Digital(PDF) copy of your Diploma & Marksheet will be sent to your registered email ID within 7 days.

Course Modules:

Module 1: Fundamentals of Data Analytics: Introduction to Data Analytics, History and Evolution of Data Analytics, Role of Data Analytics in Business, Types of Data Analytics, Data Analytics Lifecycle, Data Types and Data Sources, Data Analytics Tools and Technologies, Data-Driven Decision Making, Data Analytics Applications Across Industries, Future Trends in Data Analytics.

Module 2: Data Collection and Data Preparation: Introduction to Data Collection Methods, Structured and Unstructured Data, Data Cleaning Techniques, Data Transformation Methods, Data Integration and Data Management, Data Quality Assessment, Data Preprocessing Techniques, Database Fundamentals, Data Warehousing Concepts, Preparing Data for Analysis.

Module 3: Statistical Analysis and Data Visualization: Fundamentals of Statistics for Analytics, Descriptive Statistics, Probability Concepts, Correlation and Regression Analysis, Exploratory Data Analysis, Data Visualization Principles, Charts and Dashboard Creation, Business Intelligence Tools, Interactive Data Reporting, Data Storytelling Techniques.

Module 4: Advanced Data Analytics Techniques: Introduction to Predictive Analytics, Machine Learning for Data Analytics, Classification Techniques, Clustering Methods, Forecasting and Time Series Analysis, Sentiment Analysis, Text Analytics, Recommendation Systems, Anomaly Detection Techniques, Real-World Analytics Applications.

Module 5: Data Analytics Tools and Business Applications: Excel for Data Analytics, SQL for Data Analysis, Python for Data Analytics, Data Analytics Libraries and Frameworks, Power BI and Tableau Visualization, Cloud-Based Analytics Platforms, Marketing Analytics, Financial Analytics, Customer Analytics, Industry-Based Data Analytics Projects.

Module 6: Data Analytics Deployment and Capstone Project: Data Analytics Project Management, Building Analytical Solutions, Data Analytics Automation, Data Security and Privacy, Ethical Data Analytics Practices, Analytics Performance Measurement, Reporting and Presentation Skills, Business Intelligence Strategy, Capstone Project Development, Final Project Presentation and Evaluation.

GSDCI Online Assessment Detail:

• Duration- 120 minutes.
• Number of Questions- 60.
• Number of Questions from each module: 10.
• Language: English.
• Exam Type: Multiple Choice Questions.
• Maximum Marks- 600, Passing Marks Above 40%.
• There is no negative marking in any module.

Benefits of the Professional Diploma

1. Globally Recognized Professional Diploma – Earn a professionally designed diploma that enhances your profile and demonstrates industry-relevant knowledge. Widely valued by employers, organizations, and institutions across multiple sectors.

2. Quality Learning with ISO-Certified Standards – Our training programs are developed under ISO-certified quality management practices, ensuring a structured, consistent, and high-quality learning experience.

3. Enhanced Career Opportunities – Strengthen your resume, improve your professional skills, and increase your potential for employment, career advancement, and new job opportunities.

4. Issued by a Non-Profit Skill Development Organization – The diploma is awarded by a mission-driven organization dedicated to promoting skill development, vocational education, and lifelong learning.

5. Comprehensive Learning Resources – Access quality study materials, e-books, practice assessments, mock tests, and learner support to help you successfully complete the program.

6. Secure Online Verification – Every diploma and marksheet is issued with a unique Enrolment ID and QR Code, enabling employers, institutions, and other stakeholders to instantly verify the authenticity of your credential online.

7. Lifetime Validity – The Professional Diploma is issued with lifetime validity and does not require periodic renewal, allowing you to showcase your achievement throughout your career.

8. Flexible Self-Paced Learning – Learn anytime and anywhere at your own pace, making it easy to balance your studies with work, business, or personal commitments.

9. Industry-Relevant Curriculum – The curriculum is designed to focus on practical knowledge, current industry trends, and real-world applications to improve workplace readiness.

10. Skill-Based Professional Qualification – Demonstrates your commitment to continuous professional development and validates your practical knowledge and skills in the subject area.

Job Opportunities after Professional Diploma in Data Analytics

Graduates of this program gain knowledge in data collection, data processing, statistical analysis, data visualization, business intelligence, analytical tools, and data-driven decision-making, preparing them for roles in analytics, business intelligence, technology, finance, marketing, and research sectors.

Key Career Options: Data Analyst, Business Intelligence Analyst, Data Analytics Associate, Junior Data Scientist, Reporting Analyst, Marketing Data Analyst, Operations Analyst, Financial Data Analyst, Data Visualization Specialist, Research Analyst, Database Analyst, Freelance Data Analytics Consultant.

Salary Range (India):
Entry-level: ₹3–6 LPA
Mid-level: ₹6–12 LPA
Senior-level: ₹12–20+ LPA (higher with advanced analytics skills, domain expertise, and experience with enterprise data solutions)

Industries Hiring Graduates: Information Technology Companies, Data Analytics Firms, Banking & Finance, Healthcare Organizations, E-commerce Companies, Retail Businesses, Marketing Agencies, Consulting Firms, Manufacturing Industries, Research Organizations, and Education Technology Companies.

Skills Developed: Data analysis techniques, statistical methods, data cleaning and preparation, data visualization, business intelligence tools, dashboard creation, reporting skills, database fundamentals, analytical thinking, problem-solving, decision-making using data, and practical data interpretation.

Graduates can progress to roles like Senior Data Analyst, Business Intelligence Consultant, Data Analytics Manager, Data Scientist, or establish careers in specialized analytics fields such as business analytics, financial analytics, marketing analytics, and operational intelligence with experience and advanced certifications.