Data Analytics

Build a Microsoft Fabric real-time analytics flow with Eventstream, Eventhouse, KQL, dashboards, alerts and a measurable learner project.

Understand Apache Iceberg schema evolution, hidden partitioning and changing table layouts without rewriting analyst queries.

Query Parquet files directly with DuckDB SQL, inspect metadata, tune row groups and decide when to load data into a database table.

Use Python in Excel for data cleaning, pandas analysis and visualisation, with availability, security, recalculation and sharing guidance.

Learn how Microsoft Fabric data agents answer governed data questions with SQL, DAX and KQL, including setup, testing, security and limitations.

Data analyst and MIS executive roles overlap because both use data to support business teams. The better choice depends on the work you want to practise every day, the tools you want to deepen and the type of questions you want to answer—not on assuming that one title is automatically superior.

Case-study interviews test structured thinking more than memorised formulas. The interviewer wants to see how you move from an ambiguous business problem to the next useful question, choose a metric, test likely drivers and communicate a decision with appropriate caution.

A fresher data analyst resume should make one claim easy to verify: you can work with data carefully and communicate a useful result. It does not need invented experience. It needs a clear skills section, relevant coursework or learning, and projects that show what you personally did.

Freshers searching for data analyst jobs in Vizag should prepare for the work behind the title. Employers may call an entry role reporting analyst, MIS analyst, operations analyst, junior BI analyst or data analyst. The common test is whether you can turn a business request into a correct, explainable report.

An MBA can make data analytics more useful, not less. Management study gives you practice with markets, operations, finance and decision-making; analytics adds the ability to test assumptions with data, explain a metric and recommend the next action.