Data Scientist in Python
Fast track your career and stand out from the crowd by adding Python for data science to your skill repertoire. Whether you’re a complete beginner looking to start a new career or a seasoned expert looking to hone your skills, this career path is designed to rapidly transform you into a qualified, job-ready data scientist.
Write and run real code, and build a portfolio employers will love — all from the comfort of your browser.
Unsure if the data scientist career path is the right one for you? Take our career path quiz here.
50,000+ people have enrolled in this path in the last three months! Join them today!
What You’ll Learn
Navigating the path to learn data science can be time-consuming, difficult, and downright frustrating — but not with Dataquest. With our data science career path, we teach every skill required to become an exceptional data scientist, including Python programming, data analysis, probabilities, statistics, and more!
Everything you’ll ever need to know to become a data scientist is right here.
How Our Data Scientist in Python Career Path Works
Master mandatory data scientist technical skills like Python and object-oriented and functional programming. Along the way, you’ll also learn key libraries such as scikit-learn, Matplotlib, NumPy, and pandas. Moreover, discover everything you need to know about web scraping and SQL queries in our Python data science courses.
These courses will teach you the calculus needed to understand, explain, and complete tasks like machine learning algorithms, image recognition, deep learning, and predictive analytics, among others.
Most data science programs stop there, since those are all the skills needed to become a data scientist, but we took it a step further. To differentiate yourself even more from other candidates, we included concepts such as the UNIX command line, Git, and Github to develop collaboration and efficiency.
At Dataquest, we know that navigating a brand new career path is a lot to process, so we teach differently. All of our courses are hands-on and interactive. Say goodbye to dull, lengthy videos. With Dataquest, you’ll be writing and running real code and validating your new skills daily. If you get stuck, we’ll provide the support you need. Here’s how the data scientist curriculum is set up:
Enroll in this career path and become a data scientist in Python today!
Data Scientist Career Path Course List
Python for Data Science: Fundamentals Part I
Learn the basics of Python programming and data science.
FREE
Python for Data Science: Fundamentals Part II
Learn the basics of Python programming and data science.
FREE
Python for Data Science: Intermediate
Learn important Python data science skills.
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
APIs and Web Scraping in Python
Learn how to acquire data from APIs and the web.
BASIC
Data Analysis in Business
Learn about the subjective aspects of data science in a business setting.
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
Functions: Advanced
Learn how to write high-quality functions.
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
Who is this Data Scientist in Python Career Path For?
The data scientist career path starts you out at the beginning, which means that it can be for anyone. There is no experience required to start.
This career path is for individuals who are ready for an exciting career switch, data professionals who are looking to advance in their field, college students pursuing data science who want to get job-ready, and more!
Start learning with our Data Scientist in Python Career Path!
Already have an account? Sign in →
By creating an account you agree to accept our terms of use and privacy policy.