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

Connect to various data sources, clean ,transform ,analyse data and create visualizations

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

Become a Data Analyst - Power BI | SQL | Python | Tableau Free Download udemy course free download

Connect to various data sources, clean ,transform ,analyse data and create visualizations

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 a process of inspecting, cleansing, transforming, and modelling data with the goal of discovering useful information, informing conclusions, and supporting decision-making.

A data analyst collects, cleans, and interprets data sets in order to answer a question or solve a problem. They can work in many industries, including business, finance, criminal justice, science, medicine, and government.

Data analyst tasks and responsibilities

A data analyst is a person whose job is to gather and interpret data in order to solve a specific problem. The role includes plenty of time spent with data, but entails communicating findings too.

Here’s what many data analysts do on a day-to-day basis:

Gather data: Analysts often collect data themselves. This could include conducting surveys, tracking visitor characteristics on a company website, or buying datasets from data collection specialists.

Clean data: Raw data might contain duplicates, errors, or outliers. Cleaning the data means maintaining the quality of data in a spreadsheet or through a programming language so that your interpretations won’t be wrong or skewed.

Model data: This entails creating and designing the structures of a database. You might choose what types of data to store and collect, establish how data categories are related to each other, and work through how the data actually appears.

Interpret data: Interpreting data will involve finding patterns or trends in data that will help you answer the question at hand.

Present: Communicating the results of your findings will be a key part of your job. You do this by putting together visualizations like charts and graphs, writing reports, and presenting information to interested parties.

Who this course is for:

  • Beginner Data Analyst
  • Beginner Data Scientist

Course Details:

  • 7.5 hours on-demand video
  • 23 downloadable resources
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of completion

Become a Data Analyst - Power BI | SQL | Python | Tableau Free Download udemy courses free download

Connect to various data sources, clean ,transform ,analyse data and create visualizations
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