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

About this course

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 analyseCollect the dataClean the data in preparation for analysisAnalyse the dataInterpret the results of the analysisData 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 ineffi

Course objectives

• prepare data for analysis
• analyze different types of data
• gain insights to support decision-making
• apply business intelligence best practices