Data Scientist in Python
Learn how to make inferences and predictions from data.
Python
SQL
Machine Learning
This is a Dataquest career path — a sequence of interactive online courses that’s designed to take you from total beginner to qualified data scientist. You’ll learn to write and run real code, all from the comfort of your browser window.
Made for: Beginners
Prerequisites: None
Join 54,307 other students enrolled in the last three months
Learn by coding!
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Your New Skills
You’ll learn all this and much more in our interactive data science courses:
- Python programming
- SQL queries
- Data analysis and visualization
- Data mining, web scraping, and APIs
- Probability and statistics
- Machine learning
- Deep learning
- PostgreSQL
- Jupyter Notebooks
- Git
- Command line/bash
Your New Portfolio
Predicting the Stock Market
Use machine learning to predict future stock prices
Predicting Home Sale Prices
Use linear regression to predict real estate prices
Performing Market Analysis
Use statistical analysis to identify market opportunities
Analyzing SAT Fairness
Use demographic data and SAT scores to assess testing bias
Investigating Airplane Accidents
Use search algorithms and data structures to explore airplane accidents data
Building a Custom Spam Filter
Filtering spam email messages using Naive Bayes
+ many more projects
Start working toward your new career in Data Science.
Start working toward your new career in Data Science.
Start working toward your new career in Data Science.
Learn Interactively
In this career path, you'll learn Python fundamentals, dig into data analysis and data viz, query databases with SQL, study statistics, and build machine learning models in a thoughtful sequence, with each lesson building on the previous one.
It's designed so that there are no prerequisites and no prior experience required. Everything you need to learn, you'll learn on this path!
As you learn, you'll apply each concept immediately by writing code right in your browser that's automatically checked by our system to give you near-instant feedback on your progress.
Learn more about the Dataquest teaching method, and how we differ from other online learning sites.
Become a Data Scientist
This course path covers all of the technical skills you’re likely to need to work as a data scientist, and we’re adding new courses all the time!
Dataquest learners like Francisco, Caitlin, Isaac, Adam, Sunishchal, and many more have used this path to go from working in totally unrelated fields to working as full-time data scientists. And it’s not just about getting a job — Francisco, who got his first data science job four years ago after using Dataquest, says he’s still using his Dataquest skills every day.
Don’t take our word for it! Read what real Dataquest learners have to say about how Dataquest has impacted their lives.Dive into Data Science and Get Certified!
Sign up for a free account to try any course in this path. To complete courses and earn certificates, you’ll need a Premium subscription, which unlocks all of our course content, practice problems, guided projects, and even access to our Premium-only career forum to help you navigate your path towards becoming a data scientist.
Full Course Listing
Python for Data Science: Fundamentals
Learn the basics of Python programming and data science.
FREE
Python for Data Science: Intermediate
Learn the basics of Python programming and data science.
FREE
Pandas & NumPy Fundamentals
Learn how to analyze data using the pandas and NumPy libraries.
FREE + BASIC
Exploratory Data Visualization
Learn how to explore data by creating and interpreting data graphics. This course is taught using matplotlib and pandas.
BASIC
Storytelling Through Data Visualization
Learn how to communicate insights and tell stories using data visualization.
BASIC
Data Cleaning and Analysis
Learn how to clean and combine datasets, then practice your skills.
BASIC
Data Cleaning in Python: Advanced
Learn advanced techniques for cleaning data in Python.
BASIC
Data Cleaning Project Walkthrough
Learn how to clean and combine datasets, then practice your skills.
BASIC
Elements of the Command Line
Learn the basics of the Bash to establish a foundation of working the command line as a springboard to using the command line for data science
BASIC
Text Processing in the Command Line
Learn more about the command line and how to use it in your data science workflow.
BASIC
SQL Fundamentals
Learn the basics of working with SQL databases.
FREE
Intermediate SQL for Data Analysis
Learn to work with multi-table databases.
BASIC
Advanced SQL for Data Analysis
Learn how to work with PostgreSQL, customize databases using indexing and how to improve database performance.
BASIC
APIs and Web Scraping in Python
Learn how to acquire data from APIs and the web.
BASIC
Statistics: Fundamentals
Learn about sampling, variables and distributions.
BASIC
Statistics Intermediate: Averages & Variability
Learn to summarize distributions, measure variability using variance or standard deviation, and compare values using z-scores.
BASIC
Probability Fundamentals
Learn the fundamentals of probability theory using Python
BASIC
Conditional Probability
Learn about conditional probability, Bayes' theorem, and Naive Bayes.
BASIC
Hypothesis Testing: Fundamentals
Learn more advanced statistical concepts including A/B tests and chi-squared tests for more powerful data analysis.
BASIC
Machine Learning Fundamentals
Learn the fundamentals of machine learning using k-nearest neighbors.
PREMIUM
Calculus for Machine Learning
Learn the calculus necessary for intermediate machine learning techniques like linear regression.
PREMIUM
Linear Algebra for Machine Learning
Learn the linear algebra necessary for intermediate machine learning techniques like linear regression.
PREMIUM
Linear Regression for Machine Learning
Learn how to use the linear regression machine learning model.
PREMIUM
Machine Learning in Python: Intermediate
Dive more into Machine learning.
PREMIUM
Decision Trees
Learn how to construct and interpret decision trees.
PREMIUM
Deep Learning: Fundamentals
Learn the basics of deep neural networks. Includes graph representation, activation functions, multiple hidden layers, and image classification.
PREMIUM
Machine Learning Project
Learn what a complete data science project looks like, from data cleaning to machine learning.
PREMIUM
Kaggle Fundamentals
Learn how to get started with and participate in Kaggle competitions with Kaggle's 'Titanic' competition.
PREMIUM
Exploring Topics in Data Science
Explore other topics in data science, like NLP and clustering.
PREMIUM
Natural Language Processing
Learn how to analyze and make predictions on textual data.
PREMIUM
Functions: Advanced
Learn how to write high-quality functions.
PREMIUM
Data Structures & Algorithms
Learn how computers work and how they work with data.
PREMIUM
Python Programming Advanced
Learn advanced concepts in Python, including more on object-oriented programming, lambda functions, and exception handling.
PREMIUM
Command Line: Intermediate
Learn more about the command line and how to use it in your data analysis workflow.
BASIC
Git & Version Control
Learn the basics of Python programming and data science.
BASIC
Spark & Map-Reduce
Learn how to use Apache Spark and the map-reduce technique to clean and analyze large datasets.
PREMIUM