Career Paths
Follow a proven learning path and go from beginner to career-ready in 3 to 9 months. Grow confidence and skills with Dataquest.
Career Paths
Follow a proven learning path and go from beginner to career-ready in 3 to 9 months. Grow confidence and skills with Dataquest.
Showing 8 of 8 paths
- 19 courses 15 projects 100 hours 466K+
Junior Data Analyst
You'll begin with Excel, where you'll learn how to manipulate data using complex formulas, commands, and tools. Next, you'll transition into SQL, becoming familiar with querying, exploring, and handling data from multiple sources. Lastly, you'll dive into Python, learning the fundamentals of programming, statistical analysis, and data visualization. This progressive learning journey is designed for both aspiring data professionals and those looking to enhance their data skills. Best of all, you'll learn by doing - you'll write code and get feedback directly in the browser. You'll apply your skills to several guided projects involving realistic business scenarios to build your portfolio and prepare for your next interview.
Beginner Python SQLStart career path → - 38 courses 27 projects 154 hours 449K+
Data Scientist in Python Certificate Program
In this path, you'll develop key technical skills for data scientists, including object-oriented and functional programming with Python, along with libraries like scikit-learn, Matplotlib, NumPy, and pandas. You'll also learn web scraping, SQL queries, deep learning, machine learning, and predictive analysis. To help you stand out, you'll explore tools like the UNIX command line, Git, and GitHub for better collaboration. Best of all, you'll learn by doing - you'll write code and get feedback directly in the browser. You'll apply your skills to several guided projects involving realistic business scenarios to build your portfolio and prepare for your next interview.
Beginner Python SQLStart career path → - 27 courses 19 projects 146 hours 438K+
Data Analyst in Python
In this path, you'll learn the fundamentals of Python, as well as how to prepare and extract data by querying databases with SQL, how to create insightful data visualization, and how to perform descriptive and predictive statistical analysis. Best of all, you'll learn by doing - you'll write code and get feedback directly in the browser. You'll apply your skills to several guided projects involving realistic business scenarios to build your portfolio and prepare for your next interview.
Beginner Python SQLStart career path → - 30 courses 20 projects 183 hours 159K+
AI Engineer in Python
In this path, you'll build the technical skills AI engineers need, including Python programming, working with LLM APIs, and prompt engineering. You'll learn to build and deploy AI applications using FastAPI and Docker, then go deeper into machine learning, deep learning with PyTorch, embeddings, vector databases, and RAG systems. You'll also pick up essential tooling like the command line, Git, and virtual environments. Best of all, you'll learn by doing - you'll write code and get feedback directly in the browser. You'll apply your skills to several guided projects involving realistic business scenarios to build your portfolio and prepare for your next interview.
Beginner Python AI EngineeringStart career path → - 30 courses 14 projects 80 hours 125K+
Data Engineer
In this path, you'll master the mandatory technical skills for modern data engineering, including Python programming, distributed computing, containerization, and cloud deployment. You'll learn how to work with production databases like PostgreSQL, Snowflake, and MongoDB, process data at scale with PySpark, orchestrate workflows with Apache Airflow, and deploy containerized applications to cloud platforms using Docker and Kubernetes. Best of all, you'll learn by doing - you'll write code and get feedback directly in the browser. You'll apply your skills to several guided projects involving realistic business scenarios to build your portfolio and prepare for your next interview.
Beginner Python SQLStart career path → - 15 courses 10 projects 56 hours 110K+
Business Analyst with Power BI
You'll learn the fundamentals of data analysis in Excel, including how to explore and extract data from datasets using SQL, how to perform descriptive statistical analysis, and how to present insights using dashboards and visualizations in Power BI. Best of all, you'll learn by doing - you'll practice and get feedback directly in the browser. You'll apply your skills to several guided projects with realistic business scenarios to build your portfolio and prepare for your next interview. By the end of the career path, you'll be ready for the official Microsoft Power BI Data Analyst certification PL-300, an in-demand assessment that certifies your skills in Power BI.
Beginner Excel Power BIStart career path → - 14 courses 10 projects 47 hours 102K+
Business Analyst with Tableau
You'll learn the fundamentals of data analysis in Excel, including how to explore and extract data from datasets using SQL. You'll also learn how to build informative data visualizations using a variety of chart types, as well as how to present insights to audiences using Tableau. Best of all, you'll learn by doing - you'll practice and get feedback directly in the browser. You'll apply your skills to several guided projects with realistic business scenarios to build your portfolio and prepare for your next interview. By the end of the career path, you'll be ready for the official Tableau Desktop Specialist Certification, an in-demand assessment that certifies your skills in Tableau.
Beginner Excel TableauStart career path → - 23 courses 18 projects 88 hours 93K+
Data Analyst in R
In this path, you'll learn the fundamentals of R and build upon them with more advanced skills. You'll learn how to use RStudio, applications and tools, tidyverse, DataFrames, tibbles, operators, expressions, and much more - as well as data visualization, graphs, plots, and charts. Best of all, you'll learn by doing - you'll write code and get feedback directly in the browser. You'll apply your skills to several guided projects involving realistic business scenarios to build your portfolio and prepare for your next interview.
Beginner R SQLStart career path →
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