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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

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

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What you'll learn

  • Connect to multiple data sources
  • Analyse data and create visualization with Power BI
  • Create dashboards with Power BI
  • Publish reports to Power BI Service
  • Connect Power BI to databases
  • Data preparation and exploration with SQL
  • Write CTE queries to explore data with SQL
  • Create temp tables and views with SQL
  • Analyse and extract data with Python
  • Learn skills to scrape data from web pages
  • Create data visualizations with Tableau

Requirements

  • Basic knowledge of SQL advised
  • Basic knowledge of Python advised

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
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