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Become a Data Analyst – Power BI | SQL | Python | Tableau

Become a Data Analyst - Power BI | SQL | Python | Tableau
Become a Data Analyst - Power BI | SQL | Python | Tableau

Become a Data Analyst – Power BI | SQL | Python | Tableau

Connect to a variety of data sources, clean, transform, analyze, and visualize data.

What you’ll learn

Become a Data Analyst – Power BI | SQL | Python | Tableau

  • Connect to any number of different data sources.
  • With Power BI, you can analyze data and generate a visualization.
  • Power BI allows you to create dashboards.
  • To use SQL to examine data, and write CTE queries.
  • Learn how to scrape information from online sites.

Requirements

  • SQL expertise is recommended.
  • Python expertise is recommended.

Description

Data analysis is the process of analyzing, cleaning, manipulating, and modeling data with the goal of finding useful information, making conclusions, and making better decisions.

A data analyst gathers, cleans, and evaluates data sets in order to answer a query or solve an issue. Business, finance, criminal justice, science, medicine, and government are just a few of the fields where they may operate.

A data analyst’s tasks and responsibilities

A data analyst’s job is to collect and analyse data in order to solve a particular issue. The job necessitates a lot of data analysis, but it also necessitates conveying results.

On a daily basis, many data analysts conduct the following:

Data collection: Analysts often acquire data on their own. When you do this, you can take surveys, look at visitor characteristics on a company’s website, or buy datasets from data gathering professionals like this one.

Model data comprises the creation and design of database structures.

Data interpretation is the process of finding patterns or trends in data that will help you answer the question at hand.

Present: One of the most important aspects of your employment will be communicating the outcomes of your research. This is accomplished through creating visualizations such as charts and graphs, generating reports, and presenting data to interested parties.

Who this course is for:

  • Data Analyst for the first time.
  • Data Scientist for Novices

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