Data Science By LinkedIn

What I Learn

Data Science Foundations: Understanding the core concepts and methodologies in data science, including data wrangling, exploration, and visualization. Machine Learning Techniques: Application of supervised and unsupervised machine learning algorithms to real-world problems. Data-Driven Decision Making: Leveraging data to inform business decisions and strategies. Statistical Analysis: Mastery of statistical methods for analyzing and interpreting data. Python for Data Science: Proficiency in using Python and its libraries for data analysis, machine learning, and data visualization.