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November 6, 2024
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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.
Instructors: Brandon Larkin
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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
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Prepare for a career in the high-growth field of data analytics. In this program, you’ll build in-demand technical skills like Python, Statistics, and SQL in spreadsheets to get job-ready in 5 months or less, no prior experience needed. You'll also have the option to learn how generative AI tools and techniques are used in data analytics.
Data analysis involves collecting, processing, and analyzing data to extract insights that can inform decision-making and strategy across an organization.
In this program, you’ll learn basic data analysis principles, how data informs decisions, and how to apply the OSEMN framework to approach common analytics questions. You’ll also learn how to use essential tools like SQL, Python, and Tableau to collect, connect, visualize, and analyze relevant data.
You’ll learn how to apply common statistical methods to writing hypotheses through project scenarios to gain practical experience with designing experiments and analyzing results.
When you complete this full program, you’ll have a portfolio of hands-on projects and a Professional Certificate from Meta to showcase your expertise.
Applied Learning Project
Throughout the program, you’ll get to practice your new data analysis skills through hands-on projects including:
Identifying data sources
Using spreadsheets to clean and filter data
Using Python to sort and explore data
Using Tableau to visualize results
Using statistical analyses
By the end, you’ll have a professional portfolio that you can show to prospective employers or utilize for your own business.
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
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
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
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
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
Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.
Meta builds technologies that help people connect with friends and family, find communities, and grow businesses. The Meta Professional Certificates create opportunities so that anyone regardless of education, background or experience can learn high-quality skills to land a high-growth career—no degree or experience required to get started. Meta also offers training courses on the metaverse to educate people, brands, businesses and professionals on the opportunities it presents and what it means for our world today and into the future.
Unlimited access to 10,000+ world-class courses, hands-on projects, and job-ready certificate programs - all included in your subscription
Earn a degree from world-class universities - 100% online
Upskill your employees to excel in the digital economy
Learners who want to learn fundamental data analysis skills to jump-start a career as an entry-level data analyst.
Aptly provides online education where technology disrupts. Aptly’s team of educators, digital marketers, marketing analysts, and instructional designers combine their experience from academia and the tech industry into hands-on, applied education programs. Together with Meta, they have helped hundreds of thousands of students, employees, job seekers, marketers, and businesses gain the skills and knowledge to succeed in the digital economy.
Approximately 5 months, 5-7 hours per week
No background knowledge is necessary. This Professional Certificate is designed for those new to data analysis, but is valuable for anyone looking to enhance their data analytics skills.
Should you decide to take all or multiple courses, we highly encourage you to take them in the suggested order, as we have designed the courses to work in sequence.
Course 1 - Introduction to Data Analytics
Course 2 - Data Analysis with Spreadsheets and SQL
Course 3 - Python Data Analytics
Course 4 - Statistics Foundations
Course 5 - Introduction to Data Management
This course is completely online, so there’s no need to show up to a classroom in person. You can access your lectures, readings and assignments anytime and anywhere via the web or your mobile device.
If you subscribed, you get a 7-day free trial during which you can cancel at no penalty. After that, we don’t give refunds, but you can cancel your subscription at any time. See our full refund policy.
Yes! To get started, click the course card that interests you and enroll. You can enroll and complete the course to earn a shareable certificate, or you can audit it to view the course materials for free. When you subscribe to a course that is part of a Certificate, you’re automatically subscribed to the full Certificate. Visit your learner dashboard to track your progress.
¹ Median salary and job opening data are sourced from Lightcast™ Job Postings Report. Content Creator, Machine Learning Engineer and Salesforce Development Representative (1/1/2024 - 12/31/2024) All other job roles (3/1/2024 - 3/1/2025)