Data Analyst Resources

Discover a comprehensive hub of resources tailored for data analysts at any stage of their careers. Featuring an array of tutorials, career guides and cheat sheets, Coursera’s Resources is designed to elevate skills and facilitate growth in your career.

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Recommended Data Analytics Courses

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Skills you'll gain: Data Analysis, R Programming, SQL, Spreadsheet Software, Business Analysis, Business Communication, Data Visualization, Data Management, General Statistics, Big Data, Communication, Computer Programming, Data Science, Data Visualization Software, Databases, Exploratory Data Analysis, Extract, Transform, Load, Leadership and Management, Microsoft Excel, Problem Solving, Small Data, Statistical Programming, Tableau Software

Skills you'll gain: Data Analysis, Databases, Python Programming, SQL, Data Management, Data Mining, Data Science, Data Visualization, NoSQL, R Programming, Big Data, Microsoft Excel

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Skills you'll gain: Python Programming, Microsoft Excel, Data Visualization, Spreadsheet Software, Data Analysis, Plot (Graphics), Exploratory Data Analysis, Statistical Visualization, Business Analysis, Business Communication, Communication, Databases, Human Resources, Planning, SQL, Data Management, Data Mining, Data Science, General Statistics, NoSQL, R Programming, Big Data, Cloud Computing, Computer Programming, Data Visualization Software, Interactive Data Visualization, Machine Learning, Machine Learning Algorithms, Probability & Statistics, Regression

What are the top skills needed to be a data analyst?

Problem-solving: These skills enable analysts to identify the root causes of issues, uncover hidden patterns, and develop effective solutions to enhance business performance while ensuring actionable insights that drive strategic decision-making are consistently delivered. Top skills include:

Data collection: Data collection skills are critical for data analysts as they ensure the acquisition of accurate and relevant information needed for thorough analysis and enable analysts to gather data from diverse sources efficiently, ensuring completeness and reliability. Methods include:

Data visualization: Having these skills allows analysts to translate complex datasets into easily understandable visual format and enable them to communicate insights effectively, making it easier for stakeholders to grasp key findings and trends. Key skills to learn:

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