Data Analyst
If you like analyzing data to find insights, creating reports and visualizations, and working with spreadsheets and databases this role is for you.
A Data Analyst collects, cleans, and interprets data to provide actionable insights. They use tools like Excel, SQL, and Tableau to analyze trends and help businesses make data-driven decisions.
Skills you’ll need: Data Analysis, SQL, Python Programming, Data Visualization, Microsoft Excel, Statistics, Data Quality, Data Management
Data Analyst
If you like analyzing data to find insights, creating reports and visualizations, and working with spreadsheets and databases this role is for you.
A Data Analyst collects, cleans, and interprets data to provide actionable insights. They use tools like Excel, SQL, and Tableau to analyze trends and help businesses make data-driven decisions.
Skills you’ll need: Data Analysis, SQL, Python Programming, Data Visualization, Microsoft Excel, Statistics, Data Quality, Data Management
Recommended credentials
Introduction to Data Analytics
Course 1 of 5
Data Analysis with Spreadsheets and SQL
Course 2 of 5
Python Data Analytics
Course 3 of 5
Statistics Foundations
Course 4 of 5
Introduction to Data Management
Course 5 of 5
Introduction to Data Analytics
Course 1 of 11
Excel Basics for Data Analysis
Course 2 of 11
Data Visualization and Dashboards with Excel and Cognos
Course 3 of 11
Python for Data Science, AI & Development
Course 4 of 11
Python Project for Data Science
Course 5 of 11
Databases and SQL for Data Science with Python
Course 6 of 11
Data Analysis with Python
Course 7 of 11
Data Visualization with Python
Course 8 of 11
IBM Data Analyst Capstone Project
Course 9 of 11
Generative AI: Enhance your Data Analytics Career
Course 10 of 11
Data Analyst Career Guide and Interview Preparation
Course 11 of 11
What brings you to Coursera today?
Career resources
A data analyst collects, cleans, and interprets data sets in order to answer a question or solve a problem. They work in many industries, including business, finance, criminal justice, science, medicine, and government.
Statisticians are experts who compile and analyze statistical data in order to solve problems for businesses, government organizations, and other institutions. In their day to day work, statisticians determine the data a company will require to solve a problem and then apply mathematical theories to use that data to construct a solution.
Health care and technology are two of the fastest-growing career sectors in the United States. A career as a health care data analyst is at the intersection of both industries.
If you’re thinking about learning data analytics, it’s not unusual to have some concerns about the technical skills involved. Data analysts rely on skills like programming in R or Python, querying databases with SQL, and performing statistical analysis.
Success stories
A Data Scientist analyzes large datasets to uncover insights, using statistics, machine learning, and visualization to inform business strategies.
description:A Data Scientist analyzes large datasets to uncover insights, using statistics, machine learning, and visualization to inform business strategies.
If you like: analyzing complex datasets, developing machine learning models, solving statistical problems.
A Business Intelligence Analyst analyzes and visualizes data to support business decisions, using Tableau and Power BI to drive strategy.
description:A Business Intelligence Analyst analyzes and visualizes data to support business decisions, using Tableau and Power BI to drive strategy.
If you like: interpreting data to support decision-making, creating dashboards and reports, identifying business trends.
A Data Architect designs and oversees data systems, ensuring efficient storage, security, and accessibility to support business objectives.
description:A Data Architect designs and oversees data systems, ensuring efficient storage, security, and accessibility to support business objectives.
If you like: designing how data is stored and accessed, creating data models, ensuring data quality.
A Data Warehouse Developer designs and optimizes data warehouses, ensuring efficient storage and retrieval for analytics using ETL processes.
description:A Data Warehouse Developer designs and optimizes data warehouses, ensuring efficient storage and retrieval for analytics using ETL processes.
If you like: developing and managing data storage systems, ensuring efficient data retrieval, working with large databases.
¹ Median salary, job opening, and degree 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 (10/1/2024 - 10/1/2025)