Advance Your Data Analyst Career

As an advanced data analyst, you’ll lead complex data analysis and complete them with accuracy and efficiency. The resources below can help you develop the right skills to advance as a data analyst.

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Grow your data analysis expertise

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Skills you'll gain: Data Storytelling, Exploratory Data Analysis, Sampling (Statistics), Statistical Hypothesis Testing, Regression Analysis, Statistical Analysis, Data Ethics, Statistics, Unsupervised Learning, Data Presentation, Data Visualization Software, Data Visualization, Data Analysis, Machine Learning, Data Manipulation, Data Science, Tableau Software, Interviewing Skills, Python Programming, Advanced Analytics

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Status: AI skills

Skills you'll gain: Data Presentation, Data Storytelling, Data Cleansing, Data Visualization, Data Validation, Rmarkdown, Data Integrity, Interactive Data Visualization, Data Ethics, Dashboard, Ggplot2, Data Quality, Stakeholder Communications, Data Literacy, Data Visualization Software, Data Analysis, SQL, Interviewing Skills, Analytical Skills, Applicant Tracking Systems

Status: Free Trial

Skills you'll gain: Advanced Analytics, Portfolio Management, Analytical Skills, Data Analysis, Project Management, Project Documentation, Artificial Intelligence, Presentations, Python Programming, Machine Learning

Advanced data analysts deepen their expertise in data analysis by integrating methodologies like statistics, math, programming, and machine learning. They take on more leadership and management responsibilities, advising teams on data-driven recommendations.

Furthering your career as a data analyst means taking on tasks like building regression and other statistical models to interpret data. You’ll create more elaborate data visualizations, using tools to convey complex data so that it tells a compelling story. While it is not required, you might decide to pursue a graduate degree in data analytics or data science to demonstrate your dedication to professional development.

Advance in your data analyst career with these resources:

Frequently asked questions (FAQ)