Data Science With Python

In today's world, data has become the cornerstone of decision-making across all industries. From business analytics to healthcare advancements, the ability to extract insights from data is invaluable. Python, with its simplicity and powerful libraries, has emerged as the go-to language for data science and analytics. This course is designed to equip you with the fundamental skills and knowledge necessary to harness the power of Python for data analysis and machine learning.

What will you learn from this course?

Certainly! Here's an outline covering the fundamentals of Python:

• Introduction to Python
• Installation and Setup
• Basic Syntax
• Control Flow
• Data Structures
• Functions
• Modules and Packages
• File I/O
• Exception Handling
• Object-Oriented Programming (OOP)
• Advanced Topics
• Introduction to Python for Data Science
• Data Visualization
• Exploratory Data Analysis (EDA)
• Feature Engineering
• Statistical Analysis
• Machine Learning Basics
• Supervised Learning
• Unsupervised Learning
• Model Evaluation and Validation
• Time Series Analysis
• Big Data Tools with Python
• Deep Learning
• Natural Language Processing (NLP)
• Advanced Topics
• Real-world Projects and Case Studies

Details about the course

Gain proficiency in Python, one of the most popular programming languages for data science, including data structures, functions, and object-oriented programming. Discover the power of data visualization through Matplotlib and Seaborn to effectively communicate insights and trends present in the data.

Understand the core concepts of machine learning and how to apply algorithms for tasks such as regression, classification, clustering, and dimensionality reduction.