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Use Microsoft Copilot to generate code, debug, and learn Python faster.
Apply Copilot to real datasets, create visualizations, and gain insights efficiently.
Automate repetitive tasks and optimize workflow with AI.
Receive guidance from instructors and join a community of AI-driven data enthusiasts.
Showcase your skills with a globally recognized Python for Data Science certification.
Write, debug, and optimize Python code using Copilot for faster, smarter data science projects.
Use Pandas, NumPy, Matplotlib, and Seaborn to clean, analyze, and visualize data effectively.
Master OOP, lambda functions, list comprehensions, and scalable techniques for large datasets.
Automate tasks in Excel, Word, and PowerPoint to streamline reporting and boost productivity.
Optimize resumes, enhance GitHub portfolios, and prepare for interviews with AI-powered insights.
Learn responsible AI adoption and apply Python ethically in data-driven decision-making.
Curriculum Overview
Module 1: Copilot Launchpad - Python Fundamentals and Control Flow
Learning Objective: You will set up Copilot Pro and use it to practice fundamental Python syntax, data types, and control flow structures.
Topics covered
Introduction to Copilot for Data Science
Copilot Pro Setup and Configuration
Python Fundamentals Practice with Copilot
Control Flow Practice with Copilot
Skills acquired
Coding, Data Analysis, Visualization
Module 2: Python Data Structures, Functions, and Modules
Learning Objective: You will use Copilot to practice working with Python data structures (lists, tuples, sets, dictionaries), functions, and modules, including managing and documenting your modules.
Topics covered
Mastering Python Data Structures with Copilot: Mastering Python Data Structures with Copilot
Functions Practice with Copilot
Modules and Packages
Skills acquired
Coding, Data Analysis, Visualization
Module 3: NumPy, Pandas, and Data Visualization with Python
Learning Objective: You will utilise Copilot to practice numerical computation with NumPy, data analysis with Pandas, and create data visualisations with Matplotlib and Seaborn.
Topics covered
NumPy Practice with Copilot
Data Analysis with Pandas and Copilot
Data Visualization with Matplotlib, Seaborn, and Copilot
Skills acquired
Coding, Data Analysis, Visualization
Module 4: Advanced Python for Data Science and Copilot Workflow Enhancement
Learning Objective: You will use Copilot to master advanced Python concepts like object-oriented programming (OOP), explore techniques for efficient data processing and analysis, and enhance your data science workflow with Copilot in Word, Excel, and PowerPoint.
Topics covered
Advanced Python - Object-Oriented Programming (OOP) with Copilot
Techniques for Efficient Data Processing and Analysis:
Copilot for Data Science Workflow Enhancement
Skills acquired
Coding, Data Analysis, Visualization
Module 5: Copilot for Career Success in Data Science
Learning Objective: You will leverage Copilot to prepare for a data science career, build a strong portfolio, and practice interview skills.
Topics covered
Copilot for Career Planning and Job Search
Building a Data Science Portfolio with Copilot
Practice and Feedback
Skills acquired
Coding, Data Analysis, Visualization
The Python for Data Science certification is an AI-powered course designed to help learners master Python programming, data analysis, and visualization with Microsoft 365 Copilot. You’ll gain hands-on experience in libraries like NumPy, Pandas, and Matplotlib while learning how to automate tasks, debug code, and apply Python skills to real-world data problems.
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The above statistics depend on various factors and individual results may vary. Past performance is no guarantee of future results.
The student assumes full responsibility for all expenses associated with visas, travel, & related costs. upGrad does not .
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NumPy, Pandas & Visualization