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 Management, Business Intelligence, Finance, Power BI, Dashboard, Data Analysis, Computer Science, R Programming
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 Management, Business Intelligence, Finance, Power BI, Dashboard, Data Analysis, Computer Science, R Programming
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
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.
This role has a $151,424 median salary ¹.
This role has approximately 63,636 jobs available ¹.
A Machine Learning Engineer builds and optimizes algorithms that enable computers to learn from data, using large datasets and neural networks.
description:A Machine Learning Engineer builds and optimizes algorithms that enable computers to learn from data, using large datasets and neural networks.
If you like: developing machine learning models, working with large datasets, coding in python or r.
A Statistician collects and analyzes data to identify trends, applying statistical methods to solve problems and provide insights in various fields.
description:A Statistician collects and analyzes data to identify trends, applying statistical methods to solve problems and provide insights in various fields.
If you like: analyzing and interpreting data, applying mathematical concepts, solving complex problems.
This role has a $84,864 median salary ¹.
This role has approximately 5,871 jobs available ¹.
A Data Engineer builds data pipelines for large datasets, optimizing systems and ensuring reliable data flow using tools like Hadoop and Spark.
description:A Data Engineer builds data pipelines for large datasets, optimizing systems and ensuring reliable data flow using tools like Hadoop and Spark.
If you like: building systems to collect and organize data, writing code for data processing, automating data workflows.
This role has a $135,040 median salary ¹.
This role has approximately 39,983 jobs available ¹.
¹ Median salary and job opening data are sourced from Lightcast™ Job Postings Report. Data for job roles relevant to featured programs (12/1/2023 - 12/1/2024)