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HomeInternships & TrainingMaster Python in 30 Days: From Fundamentals to Data Science!

Master Python in 30 Days: From Fundamentals to Data Science!

Are you ready to elevate your programming skills and dive deep into data science? Our comprehensive 30-day Python workshop is designed to take you from Python basics to the essentials of data science and machine learning. Perfect for BSc, MSc, and PhD students, this course offers a robust curriculum, hands-on projects, and the flexibility to learn online or offline.

Key Highlights:

  • In-depth Python Fundamentals
  • Data Visualization with Matplotlib
  • Introduction to Machine Learning
  • Hands-on Exercises & Real-world Projects

What You’ll Learn:

  • Introduction to Python: Get started with Python’s syntax and setup.
  • Data Types & Variables: Understand and manipulate various data types.
  • Control Flow: Master conditional statements, loops, and more.
  • Data Structures: Work with lists, tuples, dictionaries, and sets.
  • File Handling: Efficiently read, write, and manipulate files.
  • Data Visualization: Create stunning visualizations using Matplotlib.
  • Data Analysis: Leverage Python’s libraries for analyzing datasets.
  • Machine Learning: Introduction to algorithms, models, and tools.
  • Capstone Project: Apply all learned concepts in a final mini-project.

Program Details:

  • Duration: 30 Days
  • Eligibility: BSc/MSc/PhD Students
  • Mode: Online/Offline
  • Certificate: Awarded upon Completion

Why Join Us?

  • Expert Instructors: Learn from professionals with real-world experience.
  • Practical Focus: Hands-on learning with real-world applications.
  • Career Boost: Enhance your resume with Python skills in demand across industries.

Enroll Now!!

🔗 Get in Touch
📞 +91 7992236411 (Office Hours: 11 AM – 6 PM)
📱 WhatsApp: +90 5441703265 (Available 24/7)
✉️ customersupport@digianalix.com / digianalix@gmail.com
🌐 www.digianalix.com

EXPLORE MORE EXCITING COURSES HERE 🔍

Embark on your Python journey today and unlock new career opportunities!

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