Tableau empowers businesses to make informed decisions through interactive data visualizations and advanced analytics. Discover how data analytics with Tableau can transform your raw data into actionable insights.
Data Analytics is an umbrella term that encompasses data analytics, data mining, machine learning, and several other related disciplines. While a data scientist is expected to forecast the future based on past patterns, data analysts extract meaningful insights from various data sources.
Data Analytics is a concept used to tackle big data and includes data cleansing, preparation, and analysis. A data Analyst gathers data from multiple sources and applies machine learning, predictive analytics, and sentiment analysis to extract critical information from the collected data sets. They understand data from a business point of view and can provide accurate predictions and insights that can be used to power critical business decisions.
A data analyst is usually the person who can do basic descriptive statistics, turns unstructured data into Structured Data, Reporting for Data Visualization With Data AnalysisProcessandcommunicatedatapointsforconclusions.
A data analyst must have a basic understanding of statistics, a perfect sense of databases, the ability to create new views, and the perception to visualize the data get a clear idea of what to do using that data to make critical ( more importantly, correct) decisions. Data analytics can be referred to as the necessary level of data science.
