Want to turn data into captivating stories that drive business decisions? With the Meta Data Analyst Professional Certificate on Coursera, you'll build skills to communicate insights effectively and influence strategy.
Want to turn data into captivating stories that drive business decisions? With the Meta Data Analyst Professional Certificate on Coursera, you'll build skills to communicate insights effectively and influence strategy.
Here's what you'll learn:
Data Analysis Foundations: Master data organization and trend analysis using Python and SQL, transforming raw data into actionable business insights.
Compelling Data Visualization: Design impactful dashboards and visualizations in Tableau that tell clear, compelling stories and engage your audience.
Data-Driven Decision-Making: Use statistical methods like regression analysis and hypothesis testing to make confident, data-backed recommendations.
Whether you're pursuing an analytics career or want to enhance your business acumen, this program prepares you to succeed in any data-driven environment.
Start your data storytelling journey with Meta on Coursera:
professional certificate
Launch your career in data analytics. Build job-ready skills – and must-have AI skills – for an in-demand career. Earn a credential from Meta in 5 months or less. No degree or prior experience required.
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Beginner level
Average time: 5 month(s)
Learn at your own pace
Skills you'll build:
Data Visualization, Statistical Hypothesis Testing, Data Management, Data Governance, Data Storytelling, Spreadsheet Software, Exploratory Data Analysis, Descriptive Statistics, Business Metrics, Data Analysis, Data Collection, Pandas (Python Package), Python Programming, Information Privacy, Data Visualization Software, Data Cleansing, Data Presentation, SQL, Bayesian Statistics, Key Performance Indicators (KPIs), Data Manipulation, Matplotlib, Programming Principles, Jupyter, Data Modeling, Scripting, Data Processing, Time Series Analysis and Forecasting, Sampling (Statistics), Statistical Modeling, Statistics, Statistical Inference, Quantitative Research, Analytics, Tableau Software, Descriptive Analytics, Data Analysis Software, Statistical Methods, Marketing Analytics, Statistical Analysis, Probability & Statistics, Data Storage, Data-Driven Decision-Making, Machine Learning, Data Quality, Data Security, Data Architecture, Big Data, Data Validation, Marketing, Generative AI, Business Analysis, Google Sheets, Dashboard, Correlation Analysis, Pivot Tables And Charts
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This content has been made available for informational purposes only. Learners are advised to conduct additional research to ensure that courses and other credentials pursued meet their personal, professional, and financial goals.
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