Data Scientist
If you like analyzing complex datasets, developing machine learning models, and solving statistical problems this role is for you.
A Data Scientist analyzes large datasets to uncover insights and solve complex problems. They apply statistical methods, machine learning, and data visualization tools to inform business strategies and decisions.
Skills you’ll need: Data Mining, Artificial Intelligence, Statistical Analysis, Deep Learning, Predictive Modeling, Cloud Computing, Algorithms, Data Analysis
Data Scientist
If you like analyzing complex datasets, developing machine learning models, and solving statistical problems this role is for you.
A Data Scientist analyzes large datasets to uncover insights and solve complex problems. They apply statistical methods, machine learning, and data visualization tools to inform business strategies and decisions.
Skills you’ll need: Data Mining, Artificial Intelligence, Statistical Analysis, Deep Learning, Predictive Modeling, Cloud Computing, Algorithms, Data Analysis
Recommended credentials
What is Data Science?
Course 1 of 12
Tools for Data Science
Course 2 of 12
Data Science Methodology
Course 3 of 12
Python for Data Science, AI & Development
Course 4 of 12
Python Project for Data Science
Course 5 of 12
Databases and SQL for Data Science with Python
Course 6 of 12
Data Analysis with Python
Course 7 of 12
Data Visualization with Python
Course 8 of 12
Machine Learning with Python
Course 9 of 12
Applied Data Science Capstone
Course 10 of 12
Generative AI: Elevate Your Data Science Career
Course 11 of 12
Data Scientist Career Guide and Interview Preparation
Course 12 of 12
What brings you to Coursera today?
Career resources
Working as a data scientist can be intellectually challenging, analytically satisfying, and put you at the forefront of new technological advances. Data scientists have become more common and in demand, as big data continues to be increasingly important to the way organizations make decisions.
Data science is an interdisciplinary field that uses algorithms, procedures, and processes to examine large amounts of data in order to uncover hidden patterns, generate insights, and direct decision-making.
Machine learning is a subfield of artificial intelligence that uses algorithms trained on data sets to create models that enable machines to perform tasks that would otherwise only be possible for humans, such as categorizing images, analyzing data, or predicting price fluctuations.
Learn how your location, education, industry, and experience can play a role in how much you can earn as a data scientist.
Success stories
A Data Analyst collects, cleans, and interprets data, using tools like Excel, SQL, and Tableau to analyze trends and provide insights for decisions.
description:A Data Analyst collects, cleans, and interprets data, using tools like Excel, SQL, and Tableau to analyze trends and provide insights for decisions.
If you like: analyzing data to find insights, creating reports and visualizations, working with spreadsheets and databases.
This role has a $96,640 median salary ¹.
This role has approximately 69,869 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.
This role has a $169,700 median salary ¹.
This role has approximately 6,963 jobs available ¹.
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.
This role has a $125,824 median salary ¹.
This role has approximately 74,155 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 $137,984 median salary ¹.
This role has approximately 36,950 jobs available ¹.
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 (5/1/2024 - 5/1/2025)