Complete your Data Science Degree with Industrial Collaboration from IBM
Data science is an interdisciplinary field that involves extracting knowledge and insights from data using various techniques, algorithms, and tools. It is an amalgamation of statistics, mathematics, domain expertise and computer science to analyze and interpret data sets. Data Collection: Gathering relevant data from various sources, such as databases, APIs, sensors, or web scraping. Data Cleaning and Preprocessing: Removing irrelevant or duplicate data, handling missing values, and transforming the data into a suitable format for analysis. Exploratory Data Analysis (EDA) : Performing initial visualizations and statistical summaries to understand the characteristics and patterns present in the data. Feature Engineering: Selecting or creating relevant features (variables) from the available data that can contribute to the predictive or analytical models. Model Selection and Training: Choosing an appropriate algorithm or model based on the problem at hand, trainin...