What is Data Analytics? Definition, Uses

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What is Data Analytics?

Data Analytics Classes in Pune Data Analytics is the activity of reviewing, structuring, and understanding raw data to find valuable information, make conclusions, and assist in decision-making. It involves statistical analysis, technology, and subject-matter expertise to transform data into decisive insights.

Definition:

Data Analytics is the process of systematic computational processing of data. It is the process of examining, cleaning, transforming, and modeling the data in a way to identify patterns, draw conclusions, and make decisions.

Data Analytics Types:

Descriptive Analytics – What happened?

Distills past data to find trends and patterns (e.g., monthly sales reporting).

Diagnostic Analytics – Why did it happen?

Browses deeper into data to know reasons behind events (e.g., analysis of customer churn).

Predictive Analytics – What will most likely occur?

Makes predictions based on statistical models and machine learning (e.g., demand forecasting).

Suggests action based on algorithms and simulations (e.g., route optimization).

Typical Applications of Data Analytics:

Industry\tUse Case

Business\tMarket analysis, customer segmentation, sales forecasting

Healthcare\tDiagnosis of patients, effectiveness of treatments, operational effectiveness

Finance\tDetection of fraud, risk analysis, algorithmic trading

Retail\tInventory optimization, price strategy, customer behavior

Sports\tAnalysis of player performance, injury prediction

Education\tTracking of student performance,  Data Analytics Course in Pune optimization of curriculum

Government

Policy impact assessment, resource allocation, crime pattern analysis

 Tools Typically Used:

Excel – Basic analysis and dashboards

SQL – Data querying

Python / R – Advanced analytics, machine learning

Tableau / Power BI – Data visualization

Do you want to find out how data analytics is applied in a particular industry or career path?