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Data Analyst | Business Intelligence: Python,BI,Tableau,SQL

Data Analyst | Business Intelligence: Python,BI,Tableau,SQL

Data Analyst | Business Intelligence: Python,BI,Tableau,SQL

Learn Data Analytics and Business Intelligence Skill using : Python | Power BI | Power Query | Tableau | SQL

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What you'll learn

  • Connect to multiple data sources
  • Clean and transform Data
  • Model Data
  • Transform less structured data
  • Create data relationships
  • Create queries with Power query
  • Merge queries with Power query
  • Create reports
  • Create visualizations
  • Create dashboards

Requirements

  • Basic knowledge of SQL advised
  • Basic knowledge of Python advised
  • Basic knowledge of Excel 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 gathers, cleans, and studies data sets to help solve problems. Here's how you can start on a path to become one.

Data analytics is the process of examining data sets to extract information that may be hidden from the casual user and draw conclusions about the impact of that information. Data analytics can range from the simplest of business intelligence, to online analytical processing, all the way up to very advanced analytics.

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 analysis is the process of gleaning insights from data to help inform better business decisions. The process of analysing data typically moves through five iterative phases:



Identify the data you want to analyse

Collect the data

Clean the data in preparation for analysis

Analyse the data

Interpret the results of the analysis



Data analysis can take different forms, depending on the question you’re trying to answer. Briefly, descriptive analysis tells us what happened, diagnostic analysis tells us why it happened, predictive analytics forms projections about the future, and prescriptive analysis creates actionable advice on what actions to take.



Business intelligence (BI) combines business analytics, data mining, data visualisation, data tools and infrastructure, and best practices to help organisations to make more data-driven decisions. In practice, you know you’ve got modern business intelligence when you have a comprehensive view of your organisation’s data and use that data to drive change, eliminate inefficiencies and quickly adapt to market or supply changes.  Business intelligence comprises the strategies and technologies used by enterprises for the data analysis and management of business information.





Who this course is for:

  • Beginner Data Analyst
  • Beginner Data Scientist
  • Beginner Data Engineer
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