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Meta Data Analyst

Description

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.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 ProjectThroughout the program, you’ll get to practice your new data analysis skills through hands-on projects including: Identifying data sourcesUsing spreadsheets to clean and filter dataUsing Python to sort and explore dataUsing Tableau to visualize resultsUsing statistical analysesBy the end, you’ll have a professional portfolio that you can show to prospective employers or utilize for your own business.

Microcredentials

Coursera

Free to Audit

Paid Certificate

  • Type
    Microcredentials
  • Provider
    Coursera
  • Pricing
    Free to Audit
  • Certificate
    Paid Certificate

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.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 ProjectThroughout the program, you’ll get to practice your new data analysis skills through hands-on projects including: Identifying data sourcesUsing spreadsheets to clean and filter dataUsing Python to sort and explore dataUsing Tableau to visualize resultsUsing statistical analysesBy the end, you’ll have a professional portfolio that you can show to prospective employers or utilize for your own business.