Start Your Data Analyst Career

As an entry-level data analyst, you’ll be gleaning insights from data to answer questions and solve problems that inform business decisions. Get started on this career path with the resources below.

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Learn the basics of data analysis

状态:免费试用

您将获得的技能: Data Storytelling, Data Wrangling, Data Presentation, Big Data, Data Analysis, Data Cleansing, Apache Hadoop, Statistical Analysis, Data Visualization, Apache Hive, Data Mart, Data Warehousing, Apache Spark, Data Science, Analytics, Data Lakes, Data Collection, Microsoft Excel

状态:免费试用
状态:人工智能技能

您将获得的技能: Rmarkdown, Data Ethics, Data Validation, Ggplot2, R (Software), Data Literacy, Spreadsheet Software, Data Analysis, Stakeholder Communications, Dashboard, Analytics, R Programming, Object Oriented Programming (OOP), Data-Driven Decision-Making, Tidyverse (R Package), Data Security, Data Manipulation, Data Structures, Interviewing Skills, Applicant Tracking Systems

状态:免费试用
状态:人工智能技能

您将获得的技能: Power BI, Microsoft Excel, Data Analysis, Microsoft Power Platform, Data Integrity, Data Visualization, Data Storage, Data Collection, Data Quality, Data Manipulation, Business Analytics, Timelines, Advanced Analytics, Database Design, Statistical Reporting, Report Writing, Data Processing, Data Warehousing, Business Intelligence, SQL

Data analysts collect, clean, and interpret data sets to drive better business decisions. They can work in many industries, including business, technology, finance, science, medicine, and government.

As an entry-level data analyst, you’ll be expected to know the basics of data collection, modeling, analysis, and visualization. You’ll need to know how to use software tools like Microsoft Excel, SQL, or Tableau to pull data sets and organize them before synthesizing the insights for a business use case and presenting them to stakeholders.

Similar roles include data scientist, business analyst, market research analyst, and business intelligence analyst

Read more about entry-level data analyst careers and tips:

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Frequently asked questions (FAQ)