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Data Analytics - Tutorial
Data Analytics - Decision Making Strategy
What is Data Analytics?
Data analytics involves gathering, transforming, and structuring data with the aim of deriving conclusions, predicting outcomes, and facilitating well-informed decision-making. Data analytics in other words is the science of analysing raw data to make conclusions about that information. - Data Analysis Online Course
5 Types of Data Analytics
• Descriptive Analytics.
• Diagnostic Analytics. .
• Predictive Analytics. .
• Prescriptive Analytics. .
• Cognitive Analytics.
The following are some of the Data analytics features
• Data Collection:
Gathering and compiling relevant data from various sources, including internal databases, external repositories, and real-time streams.
• Data Cleaning and Preparation:
Identifying and addressing inconsistencies, errors, and missing values in the data to ensure its accuracy and reliability. - Data Analytics Online Training
• Exploratory Data Analysis (EDA):
Analysing and visualizing data to discover patterns, ...
... trends, and relationships, providing an initial understanding of the dataset.
• Data Modeling:
Creating mathematical models that represent relationships within the data, facilitating predictions and simulations.
• Machine Learning Integration:
Incorporating machine learning algorithms to automate the analysis process, enhance predictive capabilities, and adapt to changing data patterns.
• Data Visualization:
Presenting data insights through visual elements like charts, graphs, and dashboards to make complex information more understandable and actionable. - Data Analytics Online Training Institute
• Scalability:
The ability of analytics tools to scale and handle increasing volumes of data as organizations grow, ensuring efficiency and effectiveness.
• Data Security and Compliance:
Implementing measures to ensure the confidentiality, integrity, and availability of data, while also adhering to regulatory requirements and industry standards. - Data Analytics Training
Conclusion:
Data analytics is not merely a trend; it is a fundamental shift in how organizations derive value from data. From uncovering hidden patterns to informing strategic decision-making, the applications of data analytics are vast and transformative.
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