Machine Learning and Data Science Using Python - Part 1

🚀 Machine Learning and Data Science Using Python - Part 1 🎓 Begin your Machine Learning and Data Science Journey!

Welcome to the first part of your journey into the fascinating world of Machine Learning (ML) and Data Science. This course is designed to take you from a beginner to someone who can confidently handle Python for ML and data science tasks. Let's dive into the foundational concepts, tools, and techniques that will form the bedrock of your expertise.

📚 Module-1: Pre-Program Preparatory Content**

• Session-1: Introduction & Preparatory Content Learning Experience
  • Understand the course structure and what to expect as you progress.

🧰 Module-2: Introduction to Python

• Session-1: Understanding Digital Disruption Course Structure

  • Get familiar with the primary actions, important pointers, and essentials.

• Session-2: Introduction to Python

  • Learn the basics of Python programming, including setting up your environment and running your first script.

🧠 Module-3: Data Structures & Algorithms

• Session-1: Python Data Structures

  • Master the use of lists, dictionaries, sets, and tuples.

• Session-2: Algorithms in Python

  • Explore algorithms for sorting, searching, and more to manipulate data effectively.

📊 Module-4: Linear Algebra & Multivariable Calculus

• Session-1: Introduction to Data Visualisation

  • Discover the power of visualising data with examples and applications.

• Session-2: Basics of Visualisation Toolkit

  • Learn about the components of a plot, sub-plots, and the functionalities available in Python for creating compelling visuals.

🎨 Module-5: Data Visualisation

• Session-1: Plotting Data Distributions

  • Understand how to plot univariate and bivariate distributions effectively.

• Session-2: Plotting Categorical and Time-Series Data

  • Learn to represent categorical data, aggregate values, and time-series data using Python's visualisation libraries.

Practical Exercises

Throughout the course, you will encounter practical exercises designed to reinforce your learning and allow you to apply what you've learned in real-world scenarios. These exercises are a crucial part of mastering the concepts taught in each module.

🔑 Key Takeaways

• Understand the basics of Python, essential for ML and data science tasks.
• Gain insights into data structures and algorithms that form the backbone of efficient data manipulation.
• Explore linear algebra and multivariable calculus, which are fundamental in understanding complex data.
• Master data visualisation techniques to communicate your findings effectively.

📢 Join Us on This Exciting Journey

Embark on a learning adventure that will transform the way you see data and its potential. With this foundational knowledge, you'll be well-equipped to tackle more advanced topics in Machine Learning and Data Science Using Python - Part 2.

🎓 Enroll now and start your ML and Data Science journey with confidence! 🚀

Whether you're a complete beginner or looking to solidify your understanding of Python for data-driven tasks, this course will provide you with the skills and knowledge necessary to excel in the field of Machine Learning and Data Science. Dive into the world of data, where every byte tells a story waiting to be discovered and interpreted.