Meta
Meta Data Analyst Professional Certificate
Meta

Meta Data Analyst 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.

Brandon Larkin
Brandi Robinson
Anke Audenaert

Instructors: Brandon Larkin

Access provided by New York State Department of Labor

31,572 already enrolled

Earn a career credential that demonstrates your expertise
4.7

(644 reviews)

Beginner level

Recommended experience

5 months
at 10 hours a week
Flexible schedule
Learn at your own pace
Earn a career credential that demonstrates your expertise
4.7

(644 reviews)

Beginner level

Recommended experience

5 months
at 10 hours a week
Flexible schedule
Learn at your own pace

What you'll learn

  • Collect, clean, sort, evaluate, and visualize data

  • Apply the OSEMN, framework to guide the data analysis process, ensuring a comprehensive and structured approach to deriving actionable insights

  • Use statistical analysis, including hypothesis testing, regression analysis, and more, to make data-driven decisions

  • Develop an understanding of the foundational principles of effective data management and usability of data assets within organizational context

Details to know

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Taught in English

Prepare for a career in Data Analytics

  • Receive professional-level training from Meta
  • Demonstrate your proficiency in portfolio-ready projects
  • Earn an employer-recognized certificate from Meta
  • Qualify for in-demand job titles: Data Analyst, Associate Data Analyst, Business Analyst
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$82,000+
median U.S. salary for Data Analytics
¹
90,000+
U.S. job openings in Data Analytics
¹
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Earn a career certificate

Add this credential to your LinkedIn profile, resume, or CV

Share it on social media and in your performance review

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Professional Certificate - 5 course series

Introduction to Data Analytics

Course 117 hours4.8 (743 ratings)

What you'll learn

  • Apply the data analysis process OSEMN to marketing data

  • Compare and contrast various data formats and their applications across different scenarios

  • Identify data gaps and articulate the strengths and weaknesses of collected data

Skills you'll gain

Category: Data Storytelling
Category: Data Modeling
Category: Data Cleansing
Category: Key Performance Indicators (KPIs)
Category: Data Validation
Category: Data Collection
Category: Data Visualization
Category: Exploratory Data Analysis
Category: Data Analysis
Category: Data Manipulation
Category: Data Quality
Category: Generative AI
Category: Analytics
Category: Business Metrics

Data Analysis with Spreadsheets and SQL

Course 226 hours4.6 (194 ratings)

What you'll learn

  • Clean data with spreadsheets and use common spreadsheet formulas to calculate summary statistics

  • Write foundational SQL statements and queries to extract data in spreadsheets

  • Create charts in Google Sheets and use Tableau to visualize data and use dashboards to create data visualizations

Skills you'll gain

Category: Google Sheets
Category: Tableau Software
Category: Data Manipulation
Category: Data Storytelling
Category: Dashboard
Category: Spreadsheet Software
Category: Correlation Analysis
Category: SQL
Category: Data Analysis
Category: Data Visualization Software
Category: Excel Formulas
Category: Data Cleansing
Category: Descriptive Statistics
Category: Exploratory Data Analysis
Category: Statistical Analysis
Category: Marketing Analytics

Python Data Analytics

Course 322 hours4.4 (178 ratings)

What you'll learn

  • Sort, query, and structure data in Pandas, the Python library

  • Describe how to model and interpret data using Python

  • Create basic data visualizations with Python libraries

Skills you'll gain

Category: Data Manipulation
Category: Pandas (Python Package)
Category: Python Programming
Category: Regression Analysis
Category: Exploratory Data Analysis
Category: Data Visualization Software
Category: Data Cleansing
Category: Programming Principles
Category: Jupyter
Category: Data Analysis
Category: Matplotlib
Category: Data Import/Export

Statistics Foundations

Course 421 hours4.7 (303 ratings)

What you'll learn

  • The basic principles of descriptive and inferential statistics

  • Use statistical analyses to make data-driven decisions

  • How to formulate and test hypotheses and take action based on the outcome

Skills you'll gain

Category: Statistics
Category: Regression Analysis
Category: Sampling (Statistics)
Category: Time Series Analysis and Forecasting
Category: Descriptive Statistics
Category: Statistical Modeling
Category: Statistical Analysis
Category: Analytics
Category: Bayesian Statistics
Category: Tableau Software
Category: Quantitative Research
Category: Statistical Hypothesis Testing
Category: Descriptive Analytics
Category: Spreadsheet Software
Category: Statistical Methods
Category: Probability & Statistics
Category: Statistical Inference
Category: Data Modeling
Category: Marketing Analytics
Category: Data Analysis

Introduction to Data Management

Course 515 hours4.8 (80 ratings)

What you'll learn

  • How to apply the fundamentals of data collection and data quality management

  • Different type data storage solutions and architectures, including big data management and how they are used

  • The fundamentals of data privacy and compliance, as well as the basics of machine learning

Skills you'll gain

Category: Data Collection
Category: Data Analysis
Category: Data-Driven Decision-Making
Category: Data Security
Category: Data Quality
Category: Data Storage
Category: Data Governance
Category: Machine Learning
Category: Information Privacy
Category: Data Management
Category: Data Architecture
Category: Data Visualization Software
Category: Big Data

Instructors

Brandon Larkin
Meta
2 Courses22,377 learners
Brandi Robinson
2 Courses31,361 learners

Offered by

Meta

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¹Lightcast™ Job Postings Report, United States, 7/1/22-6/30/23. ²Based on program graduate survey responses, United States 2021.