Data Analytics

Data collection is the process of gathering and measuring information on variables of interest in an organized manner, often using surveys, questionnaires, or observations.

Data aggregation is a data analysis technique, not a data cleaning technique. Data cleaning techniques are used to remove errors and inconsistencies from data, while data aggregation techniques are used to combine multiple data points into a single value.

Data analysis is the process of examining data to identify patterns, trends, and relationships. This can be done using a variety of statistical and mathematical techniques.

Decision Tree is a machine learning technique, not a data visualization technique. Data visualization techniques are used to represent data in a visual format, making it easier to understand and interpret.

Data analysis is the process of using statistical and mathematical techniques to extract meaningful insights from data. This can be done using a variety of techniques, such as regression analysis, clustering, and decision trees.

Power BI is a business intelligence tool, not a data analytics tool. Data analytics tools are used to analyze data and extract insights, while business intelligence tools are used to create reports and dashboards.

Data-driven decision making is the process of using data to make informed decisions. This involves collecting, analyzing, and interpreting data to identify patterns and trends that can be used to make better decisions.

Natural Language Processing is a field of computer science, not a data analytics application. Data analytics applications are used to analyze data and extract insights, while natural language processing applications are used to understand and generate human language.

Data mining is the process of identifying and extracting valuable information from large amounts of data. This can be done using a variety of techniques, such as association rule mining, clustering, and decision trees.

Monte Carlo Simulation is a technique used in risk assessment and financial modeling, not a data analytics technique. Data analytics techniques are used to analyze data and extract insights, while Monte Carlo Simulation is used to generate random outcomes based on a set of assumptions.

Predictive analytics is the process of using data to predict future events or outcomes. This can be done using a variety of techniques, such as regression analysis, decision trees, and neural networks.

Agriculture is not a common data analytics industry. Data analytics is commonly used in industries such as healthcare, retail, finance, and manufacturing.

Data storytelling is the process of communicating data insights and findings to stakeholders in a clear and concise manner. This can be done using a variety of techniques, such as visualizations, infographics, and narratives.

Business Intelligence Analyst is not a common data analytics role. Data analytics roles include Data Scientist, Data Analyst, and Data Engineer.

Data cleaning is the process of preparing data for analysis by removing errors, inconsistencies, and outliers. This can be done using a variety of techniques, such as data scrubbing, data validation, and data transformation.