Statistics: Data Science relies heavily on statistics to analyze data and make informed decisions. Programming: Students will learn programming languages such as Python and R, which are widely used in Data Science. Machine Learning: Machine learning is a subset of artificial intelligence that teaches computers to learn from data and improve their performance over time. Data Visualization: Students will learn to use data visualization tools to represent data in a way that is easy to understand and interpret.
Big Data Technologies: In the modern era, data sets are getting bigger and bigger. So, it is necessary to learn how to work with Big Data technologies such as Hadoop and Spark.
Data Cleaning: Cleaning and preprocessing data is an essential part of data science. So, students will learn to clean, preprocess and transform data. Business Intelligence: Business intelligence tools are used to provide businesses with insights into their operations, and how they can improve their performance.
