Data Storytelling Skills You’ll Gain from Meta’s Data Analyst Professional Certificate [VIDEO]

Written by Coursera Staff • Updated on

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.

[Video thumbnail] Meta Data Analyst Professional Certificate

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:

Meta

professional certificate

Meta Data Analyst

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.

4.7

(788 ratings)

39,335 already enrolled

Beginner level

Average time: 5 month(s)

Learn at your own pace

Skills you'll build:

Data Governance, Business Metrics, Data Cleansing, Data Management, Data Presentation, Exploratory Data Analysis, Pandas (Python Package), Data Collection, SQL, Bayesian Statistics, Data Analysis, Information Privacy, Data Visualization Software, Data Storytelling, Spreadsheet Software, Statistical Hypothesis Testing, Data Visualization, Key Performance Indicators (KPIs), Descriptive Statistics, Python Programming, Data Manipulation, Matplotlib, Programming Principles, Scripting, Data Processing, Jupyter, Data Modeling, Time Series Analysis and Forecasting, Sampling (Statistics), Statistical Modeling, Statistics, Quantitative Research, Tableau Software, Data Analysis Software, Analytics, Probability & Statistics, Statistical Analysis, Descriptive Analytics, Marketing Analytics, Statistical Methods, Statistical Inference, Data Storage, Data Security, Machine Learning, Data Quality, Data-Driven Decision-Making, Data Architecture, Big Data, Google Sheets, Dashboard, Correlation Analysis, Pivot Tables And Charts, Data Validation, Business Analysis, Marketing, Generative AI

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