Description

Course Name: Professional Diploma in Data Science Fundamentals

Global Occupational Skill Standard – GOSS ID: GOSS/PD-AID-DSF-010

Eligibility: 10+2 or equivalent

Language Type: English

Course Type: Self-Paced Online Learning

Objective: The Professional Diploma in Data Science Fundamentals aims to build a strong foundation in data science principles, methodologies, and applications. The course focuses on data collection, data preprocessing, statistical analysis, machine learning basics, data visualization, and practical approaches to solving real-world problems using data-driven techniques.

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 Science: Introduction to Data Science, History and Evolution of Data Science, Role of Data Science in Modern Industries, Data Science Lifecycle, Data Science Terminology and Concepts, Relationship Between AI Machine Learning and Data Science, Types of Data and Data Sources, Data Science Tools and Technologies, Applications of Data Science, Future Trends in Data Science.

Module 2: Mathematics and Statistics for Data Science: Fundamentals of Mathematics for Data Science, Linear Algebra Concepts, Probability Theory, Statistical Methods, Descriptive Statistics, Inferential Statistics, Hypothesis Testing, Correlation and Regression Analysis, Statistical Modeling Techniques, Mathematical Foundations for Machine Learning.

Module 3: Data Collection, Processing and Visualization: Data Collection Methods, Structured and Unstructured Data, Data Cleaning Techniques, Data Preprocessing, Data Transformation Methods, Exploratory Data Analysis, Data Visualization Principles, Visualization Tools and Libraries, Dashboard Development, Data Storytelling Techniques.

Module 4: Programming and Machine Learning for Data Science: Introduction to Python Programming, Python Libraries for Data Science, Data Manipulation Using Pandas, Numerical Computing with NumPy, Machine Learning Fundamentals, Supervised Learning Algorithms, Unsupervised Learning Algorithms, Model Training and Evaluation, Feature Engineering Techniques, Machine Learning Applications.

Module 5: Advanced Data Science Techniques and Applications: Deep Learning Fundamentals, Neural Networks Concepts, Natural Language Processing Basics, Computer Vision Fundamentals, Predictive Analytics, Big Data Analytics, Cloud-Based Data Science Platforms, Data Science Project Management, Industry Applications of Data Science, Real-World Data Science Case Studies.

Module 6: Data Science Deployment and Capstone Project: Data Science Workflow Implementation, Model Deployment Strategies, MLOps Fundamentals, Data Security and Privacy, Ethical Data Science Practices, Model Monitoring and Optimization, Data Science Reporting and Communication, Building Data-Driven Solutions, Capstone Data Science 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 Science Fundamentals

Graduates of this program gain knowledge in data science concepts, data analysis, statistical methods, machine learning basics, data visualization, data processing techniques, and analytical problem-solving, preparing them for roles in technology, analytics, research, business intelligence, and data-driven industries.

Key Career Options: Data Science Associate, Junior Data Scientist, Data Analyst, Data Science Trainee, Machine Learning Associate, Business Intelligence Analyst, Data Visualization Specialist, Research Analyst, Analytics Consultant, Python Data Analyst, AI & Data Assistant, Freelance Data Science Consultant.

Salary Range (India):
Entry-level: ₹3–6 LPA
Mid-level: ₹6–12 LPA
Senior-level: ₹12–25+ LPA (higher with advanced data science skills, machine learning expertise, and industry experience)

Industries Hiring Graduates: Information Technology Companies, Data Analytics Firms, AI & Machine Learning Organizations, Banking & Finance, Healthcare Technology, E-commerce Platforms, Manufacturing Industries, Research Institutions, Consulting Firms, Education Technology, and Business Intelligence Solution Providers.

Skills Developed: Data science fundamentals, data collection and processing, statistical analysis, data visualization, machine learning basics, Python programming for data applications, exploratory data analysis, predictive modeling concepts, analytical thinking, problem-solving, and data-driven decision-making.

Graduates can progress to roles like Data Scientist, Machine Learning Engineer, Data Analytics Consultant, AI Specialist, or pursue advanced learning in artificial intelligence, deep learning, and big data technologies to build specialized careers in the data science field.