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Data Analysis with Spreadsheets and SQL

This course introduces you to how to use spreadsheets and SQL queries to analyze and extract data. You will learn how to practically apply the OSEMN data analysis framework and spreadsheet functions to clean data, calculate summary statistics, evaluate correlations, and more. You’ll also dive into common data visualization techniques and learn how to use dashboards to tell a story with your data. By the end of this course you will be able to: • Clean data with spreadsheets • Use common spreadsheet formulas to calculate summary statistics • Identify data trends and patterns • Write foundational SQL statements and queries to extract data in spreadsheets • Create charts in Google Sheets and use Tableau to visualize data • Use dashboards to create data visualizations You don't need marketing or data analysis experience, but should have basic internet navigation skills and be eager to participate. Ideally you have already completed course 1: Marketing Analytics Foundation and course 2: Introduction to Data Analytics in this program.
Duration 6 Months
Institution Meta
Format Online

Eligibility Criteria

school

Academic Foundation

A recognized Bachelor’s degree or high school equivalent required for admission into Meta.

language

Language Proficiency

English proficiency required. IELTS, TOEFL, or standard medium-of-instruction certificates accepted.

Detailed Fees Breakdown

Base Tuition Fee $258
Total Est. Investment $258

Scholarships and early-bird waivers may apply. Contact admissions for exact institutional fees.

Academic Trajectory

Program Outcome

Graduates of the Data Analysis with Spreadsheets and SQL program at Meta are equipped with global perspectives, ready to excel in international markets and top-tier career opportunities.

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