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.
