Description: Data Collection: Gathering data from multiple sources, such as databases, APIs, web scraping, and IoT devices. Data Cleaning and Preprocessing: Learn processes for removing data inconsistencies, missing value corrections, and preparing the data for further analysis. Data Analysis: Using statistical methods and visualization tools to understand patterns, trends, and relationships within the data. Machine Learning: Building predictive models using supervised, unsupervised, or reinforcement learning techniques. Data Visualization: Creating graphs, dashboards, and reports to present findings clearly and intuitively. Big Data Technologies: Handling large datasets using tools like Hadoop, Spark, and cloud platforms.
Category: Business
Tag: data science