![]() ![]() Here are five kinds of data analytics.ĭescriptive analysis: Descriptive analytics is designed to answer the question “What happened?” The goal of descriptive analytics is to summarize data in a meaningful and descriptive manner, not to make any predictions. What is the key objective of data analysis? That depends on what type of data analysis skills you’re using. ☝️ Back to the table of contents Types of Data Analysis (Of course, it certainly won’t hurt if you already have experience with coding, math, or statistics!)īecoming a data analyst can also open the door to lucrative careers like data science and data engineering (just to name a few) as you gain more experience on the job. Is data analytics hard? Well, the great thing about data analysis is that it’s more of an entry-level role, meaning you can jump right in with basic knowledge after you take some data analysis courses for beginners and sharpen a few key skills. Data analysts may report their findings to project managers, department heads, and senior-level business executives to help them make decisions and spot patterns and trends. Present this data in meaningful ways: graphs, visualizations, charts, tables, etc.finding correlations, trends, outliers, etc.). Analyze and interpret the data using statistical tools (i.e.This may include plotting the data out, creating pivot tables, and so on. Manipulate data using Excel or Google Sheets.Perform data cleaning/data wrangling to improve data quality and prepare it for analysis and interpretation–getting data into the right format, getting rid of unnecessary data, correcting spelling mistakes, etc.Collect the right data to help answer this question.Define the question or goal behind the analysis: what are you trying to discover?.Here’s an introduction to the data analytics process: ![]()
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