Description

Course Name: Professional Diploma in Python for Data Analytics

Global Occupational Skill Standard – GOSS ID: GOSS/PD-AID-PFD-011

Eligibility: 10+2 or equivalent

Language Type: English

Course Type: Self-Paced Online Learning

Objective: The Professional Diploma in Python for Data Analytics aims to equip learners with the knowledge and practical skills required to use Python programming for data processing, analysis, and visualization. The course focuses on Python libraries, data manipulation techniques, statistical analysis, and real-world analytics applications to help learners develop effective data-driven solutions.

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 Python Programming for Data Analytics: Introduction to Python Programming, Python Installation and Development Environment, Python Syntax and Programming Concepts, Variables and Data Types, Operators and Expressions, Conditional Statements and Loops, Functions and Modules, File Handling in Python, Exception Handling, Python Programming Best Practices.

Module 2: Python Libraries for Data Analysis: Introduction to Python Data Analytics Libraries, NumPy for Numerical Computing, Pandas for Data Manipulation, DataFrames and Series Operations, Data Import and Export Techniques, Data Cleaning Using Pandas, Data Transformation Methods, Handling Missing Data, Data Aggregation and Grouping, Working with Large Datasets.

Module 3: Data Visualization Using Python: Fundamentals of Data Visualization, Matplotlib Library, Seaborn Visualization Techniques, Creating Charts and Graphs, Statistical Data Visualization, Interactive Visualization with Plotly, Dashboard Creation Using Python, Customizing Visual Reports, Data Storytelling Techniques, Visualization Best Practices.

Module 4: Statistical Analysis and Data Processing with Python: Introduction to Statistical Analysis, Descriptive Statistics Using Python, Probability Analysis, Correlation and Regression Analysis, Exploratory Data Analysis (EDA), Data Preprocessing Techniques, Feature Selection Methods, Time Series Data Analysis, Text Data Processing Basics, Statistical Modeling with Python.

Module 5: Machine Learning with Python for Analytics: Introduction to Machine Learning Using Python, Scikit-Learn Library, Supervised Learning Algorithms, Unsupervised Learning Algorithms, Model Training and Testing, Feature Engineering Techniques, Model Evaluation Metrics, Predictive Analytics Using Python, Machine Learning Pipelines, Real-World Machine Learning Applications.

Module 6: Advanced Python Analytics and Capstone Project: Python Automation for Data Analytics, Web Data Extraction Using Python, Database Connectivity with Python, API Data Integration, Big Data Processing Concepts, Cloud-Based Python Analytics, Data Security and Privacy, Building Data Analytics Solutions, Capstone Data Analytics 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 Python for Data Analytics

Graduates of this program gain knowledge in Python programming for data analysis, data manipulation, statistical analysis, data visualization, automation techniques, and analytical problem-solving, preparing them for roles in data analytics, business intelligence, software applications, and data-driven industries.

Key Career Options: Python Data Analyst, Data Analyst, Data Analytics Associate, Junior Data Scientist, Business Intelligence Analyst, Python Developer (Data Applications), Reporting Analyst, Data Visualization Specialist, Research Analyst, Automation Analyst, Analytics Consultant, Freelance Python Data Analyst.

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

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

Skills Developed: Python programming for analytics, data cleaning and preprocessing, data handling with Python libraries, statistical analysis, data visualization, exploratory data analysis, automation of analytical tasks, report generation, database integration basics, problem-solving, and data-driven decision-making.

Graduates can progress to roles like Senior Data Analyst, Python Analytics Specialist, Data Science Associate, Business Intelligence Consultant, or specialize in machine learning, artificial intelligence, and advanced analytics with experience, advanced certifications, and practical industry projects.