Data Scientist in Python Career Path

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.

Build a foundation in Python, command line, and SQL fundamentals
Study statistics, probabilities, and machine learning
Discover deep learning, Apache Spark, and Kaggle fundamentals

50K people have enrolled in this path in the last three months! Join them today!

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What You’ll Learn

Navigating the path to learn data science can be time-consuming, difficult, and downright frustrating — but not with Dataquest. In this career path, our courses will help you learn Python fundamentals, dig into data analysis and data viz, query databases with SQL, study statistics, build machine learning models and every skill required to become an exceptional data scientist in a thoughtful sequence, with each lesson building on the previous one.

Everything you’ll ever need to know to become a data scientist is right here.

Python programming
Data analysis and visualization
Data mining, web scraping, and APIs
Jupyter Notebooks
Command-line/bash

SQL queries
Probability and statistics
Machine learning
Deep learning
Git
Statistics

Learners report on average $30K salary increase with data science skills

Over 3 million new data science job openings predicted for 2021, according to Analytics Insight

Data science projected 31% growth over the next 10 years by The U.S. Bureau of Labor Statistics

How Our Data Scientist in Python Career Path Works

Our courses are designed so that there are no prerequisites and no prior experience required. 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:

Our Python data science career path consists of a series of courses that include intro to Python for beginners all the way to advanced Python for data science.
You’ll be writing real code and answering practice problems that’ll help you master specific skills required for data science.
At the end of each course, you’ll complete a guided project to apply your new skills while building your portfolio to show potential employers.
Upon completion of each course, you’ll be issued a certificate that you can share with your professional network or use to enhance your resume.
After completing the entire path, you’ll be armed with all the skills necessary to become a data scientist!

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.

Enroll in this career path and become a data scientist in Python today!

Data Scientist Career Path Course List

Python for Data Science: Fundamentals
Learn the fundamentals of Python programming and data science.

Python for Data Science: Intermediate
Learn important Python data science skills.

Pandas & NumPy Fundamentals
Learn how to analyze data using the pandas and NumPy libraries.

Data Visualization Fundamentals
Learn how to explore data by creating and interpreting data graphics. This course is taught using Matplotlib and pandas.

Storytelling Through Data Visualization
Learn how to communicate insights and tell stories using data visualization.

Data Cleaning and Analysis
Learn how to clean and combine datasets, then practice your skills.

Data Cleaning in Python: Advanced
Learn advanced techniques for cleaning data in Python.

Data Cleaning Project Walkthrough
Learn how to clean and combine datasets, then practice your skills.

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.

Text Processing in the Command Line
Learn more about the command line and how to use it in your data science workflow.

SQL Fundamentals
Learn the basics of working with SQL databases.

Intermediate SQL for Data Analysis
Learn to work with multi-table databases.

APIs and Web Scraping in Python
Learn how to acquire data from APIs and the web.

Statistics: Fundamentals
Learn about sampling, variables, and distributions.

Statistics Intermediate: Averages & Variability
Learn to summarize distributions, measure variability using variance or standard deviation, and compare values using z-scores.

Probability Fundamentals
Learn the fundamentals of probability theory using Python.

Conditional Probability
Learn about conditional probability, Bayes' theorem, and Naive Bayes.

Hypothesis Testing: Fundamentals
Learn more advanced statistical concepts, including A/B tests and chi-squared tests for more powerful data analysis.

Machine Learning Fundamentals
Learn the fundamentals of machine learning using k-nearest neighbors.

Calculus for Machine Learning
Learn the calculus necessary for intermediate machine learning techniques like linear regression.

Linear Algebra for Machine Learning
Learn the linear algebra necessary for intermediate machine learning techniques like linear regression.

Linear Regression for Machine Learning
Learn how to use the linear regression machine learning model.

Machine Learning in Python: Intermediate
Learn more about machine learning.

Decision Trees
Learn how to construct and interpret decision trees.

Deep Learning: Fundamentals
Learn the basics of deep neural networks. Includes graph representation, activation functions, multiple hidden layers, and image classification.

Machine Learning Project
Learn what a complete data science project looks like, from data cleaning to machine learning.

Kaggle Fundamentals
Learn how to get started with and participate in Kaggle competitions with Kaggle's “Titanic” competition.

Functions: Advance
Learn how to write high-quality functions.

Command Line: Intermediate
Learn more about the command line and how to use it in your data analysis workflow.

Git & Version Control
Learn the basics of Git, a critical part of developing projects with teams.

Spark & Map-Reduce
Learn how to use Apache Spark and the map-reduce technique to clean and analyze large datasets.

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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!