Data Science for Beginners

(5 customer reviews)

28,067.43

This course introduces beginners to the core principles of data science, focusing on Python programming and its powerful libraries like Pandas, NumPy, and Matplotlib. You’ll learn how to collect, clean, analyze, and visualize data, gaining essential skills in data manipulation and basic statistics. The course also provides an introduction to machine learning, covering fundamental algorithms like linear regression. Through hands-on projects, you’ll apply these techniques to real-world datasets, enabling you to derive insights and make data-driven decisions. Perfect for aspiring data scientists or anyone looking to explore data science, this course offers a strong foundation for further learning.

Description

This beginner-friendly data science course introduces you to the core concepts and techniques that are the foundation of the data science field. You’ll learn to work with data, from collection to cleaning, transforming, and visualizing it. Using Python, you’ll be introduced to key libraries like Pandas for data manipulation, NumPy for numerical analysis, and Matplotlib for creating data visualizations. The course covers essential data wrangling techniques to handle messy datasets, teaching you how to explore data, derive insights, and create informative visual reports. You’ll also get an introduction to statistics, learning concepts like mean, median, variance, and correlation, all crucial for analyzing data effectively. Additionally, the course covers the basics of machine learning, with an introduction to algorithms such as linear regression and decision trees. You’ll learn how to apply these algorithms to real-world data, allowing you to make predictions and identify patterns. Whether you’re looking to start a career in data science or simply want to explore data analysis, this course provides a thorough grounding in the essential skills required to work with data and draw meaningful conclusions. By the end, you’ll have the foundational knowledge and tools to dive deeper into the world of data science.