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

Status: Free Trial

Skills you'll gain: Big Data, Data Analysis, Statistical Analysis, Apache Hadoop, Apache Hive, Data Warehousing, Apache Spark, Data Cleansing, Data Lakes, Data Visualization Software, Relational Databases

Status: Free Trial
Status: New AI skills

Skills you'll gain: Data Storytelling, Data Literacy, Data Visualization, Data Presentation, Data Ethics, Rmarkdown, Interactive Data Visualization, Interviewing Skills, Data Cleansing, Data Validation, Professional Networking, Ggplot2, Tableau Software, Presentations, Spreadsheet Software, Data Analysis, Data Visualization Software, Stakeholder Communications, Dashboard, Sampling (Statistics)

Status: Free Trial

Skills you'll gain: Data Storytelling, Data Analysis Expressions (DAX), Data Presentation, Power BI, Data Ethics, Dashboard, Data Visualization Software, Data Modeling, Data Governance, Extract, Transform, Load, Interactive Data Visualization, Business Intelligence, Data Analysis, Statistical Analysis, Data Architecture, Correlation Analysis, Data Cleansing, Data Transformation, Database Design, Statistical Visualization

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

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Frequently asked questions (FAQ)