Data Science for Beginners

Data Science for Beginners - numpy, pandas, visualization, data preparation

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Description

Data is everywhere — from social media and healthcare to finance and beyond — and the ability to understand it is one of today’s most valuable skills. Data Science for Beginners is designed to introduce you to the fundamentals of working with data, even if you have no prior technical experience. You’ll learn how to collect, clean, and analyze data, create meaningful visualizations, and build simple machine learning models. Through hands-on exercises and real-world examples, you’ll gain the confidence to apply data-driven thinking to solve problems and make better decisions.

The course begins with an introduction to the data science lifecycle and essential terminology. You’ll explore basic statistics, data manipulation techniques, and how to use Python libraries like NumPy, Pandas, and Matplotlib to work with datasets effectively. Step-by-step demonstrations will help you understand how to prepare data, identify trends, and generate insights.

We’ll also introduce you to the fundamentals of machine learning, showing you how models can make predictions from data. By the end of the course, you’ll have built your first simple predictive model and visualized its results. Whether you aim to pursue a career in data science or simply want to make data-informed decisions, this course gives you the essential foundation to start your journey with confidence.

Who this course is for:

• This course is designed for anyone curious about data science, including students, career changers, working professionals, and entrepreneurs. It’s ideal for beginners with little to no technical background who want to understand how to work with data, gain practical skills in analysis and visualization, and explore the basics of machine learning for real-world applications.