<p style="font-family: 'Times New Roman'; font-size: medium;">Data Analytics involves examining, cleaning, transforming, and modeling data to discover useful information, inform conclusions, and support decision-making. It combines techniques from statistics, computer science, and domain knowledge to analyze structured or unstructured data and extract meaningful insights.

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Key components of data analytics include:

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<li>Data Collection: Gathering raw data from various sources like databases, surveys, logs, or real-time sensors.</li>
<li>Data Cleaning: Removing or correcting inaccuracies, inconsistencies, and missing values to prepare the data for analysis.</li>
<li>Data Transformation: Structuring the data into a usable format, often through processes like normalization, aggregation, or feature engineering.</li>
<li>Data Analysis: Using statistical methods, machine learning algorithms, and visualization tools to uncover patterns, trends, or correlations in the data.</li>
<li>Data Interpretation: Converting the results into actionable insights that can inform business strategies or solve specific problems.</li>
</ol>
Data analytics has applications in finance, healthcare, marketing, and manufacturing industries. It helps organizations improve efficiency, predict future trends, and make data-driven decisions.

Tools commonly used in data analytics include Python, R, SQL, Excel, Tableau, and Power BI.



Data Analytics Classes in Pune

Data Analytics Course in Pune

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