Status: Featured
Data Analysis Career Roadmap: Jobs and Levels Guide
Explore the job-leveling matrix for Data Analysis careers. Understand the roles and skills needed to advance from beginner to leader.
May 16, 2024
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Data Analysis 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.
Recommended Data Analytics Courses
Status: Free Trial
Status: AI skills
Skills you'll gain: Data Storytelling, Data Literacy, Data Visualization, Data Presentation, Data Ethics, Data Cleansing, Rmarkdown, Interactive Data Visualization, Data Validation, Ggplot2, Tableau Software, Sampling (Statistics), Presentations, Spreadsheet Software, Data Analysis, Data Visualization Software, Stakeholder Communications, LinkedIn, Interviewing Skills, Applicant Tracking Systems
Status: Free Trial
Skills you'll gain: Big Data, Data Analysis, Statistical Analysis, Apache Hadoop, Data Wrangling, Apache Hive, Data Collection, Data Mart, Data Science, Data Warehousing, Data Visualization, Analytics, Data Cleansing, Apache Spark, Data Lakes, Data Visualization Software, Microsoft Excel
Simplilearn
Skills you'll gain: Exploratory Data Analysis, Generative AI, Analytics, Advanced Analytics, Business Analytics, Data Analysis, Extract, Transform, Load, Data Integration, Prompt Engineering, Interactive Data Visualization, Data Visualization, Real Time Data, Predictive Analytics, Data-Driven Decision-Making, Data Storytelling, Predictive Modeling, ChatGPT, Forecasting, Data Transformation, Descriptive Analytics
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:
