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: Big Data, Data Analysis, Statistical Analysis, Apache Hadoop, Apache Hive, Data Collection, Data Science, Data Warehousing, Data Visualization, Data Cleansing, Apache Spark, Data Lakes, Data Visualization Software, Relational Databases, Microsoft Excel

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, Data Literacy, Data Visualization, Data Storage, Data Collection, Data Quality, Business Analytics, Timelines, Microsoft Power Platform, Advanced Analytics, Database Design, Statistical Reporting, Statistical Visualization, Business Intelligence, Data Integration, Data Storage Technologies, SQL, Data Manipulation

状态:免费试用

您将获得的技能: Pandas (Python Package), NumPy, Data Manipulation, Data Wrangling, Package and Software Management, Data Analysis, Data Transformation, Unstructured Data, JSON, Object Oriented Programming (OOP), Data Science, Python Programming, Computer Programming, Programming Principles, Data Import/Export, Software Design, Data Validation, Mathematical Software, Computational Logic, Data Structures

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)