Probability and Statistics with Python Skill Path

Probability and statistics are critical in data science. They allow us to gather insights from data and determine whether what we’re seeing is meaningful. Using statistics, we can make educated assumptions and forecasts based on real-world data.

This skill path is ideal for those who’d like to develop a skill that they can use on the job, for future career growth, or for fun!

Learn probability and statistics for data science all at your own pace and from the comfort of your browser.

  • Discover how to summarize a distribution’s measures of central tendency and variability
  • Learn the fundamentals of probability and how to use them for analysis
  • Make forecasts based on previous trends or patterns in the data

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What You’ll Learn

Transform your resume by adding career skills such as probability and statistics. Our Probability and Statistics with Python Skill Path is the perfect course series for developing your skills in collecting and preparing data. This path introduces the basics of statistical analysis using Python, including sampling, working with variables, and understanding frequency distribution tables.

Here are some of the skills you can expect to master in this path:

  • Fundamentals of Python programming and data science
  • Working with text, date, and time data using Python
  • Exploring object-oriented programming
  • Working with data using vectorized operations
  • Building knowledge of Boolean indexing, pandas, and NumPy
  • Learning the basics of data visualization
  • Understanding statistics fundamentals
  • Cleaning, transforming, and combining data
  • Mastering averages, variability, and probability
  • Performing permutation and hypothesis testing
  • Using Jupyter Notebook
money in envelope

Data Scientists with Python skills earn $97K on average according to Payscale.com

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There are estimated to be more than 11 million new data science jobs by 2026

Python is the #1 programming language used by data scientists.

How Our Probability and Statistics with Python Skill Path Works

Without probability and statistics, there wouldn’t be data science. They are the foundation that holds everything together. We need statistical methods to analyze and collect large data sets, and we need probability to make estimates and predictions about that data. In business, probability and statistics are pivotal for success. As a result of the importance and growing demand of probability and statistics, we’ve created a series of courses to help you master these consequential skills.

We approach teaching with hands-on, interactive learning to keep you engaged throughout our courses. No more boring videos or endless reading. You’ll hone the skills you learn with relevant practice problems while demonstrating the practical uses of these new skills with projects.

Our partnership approach sets us apart as well. Leverage our in-depth support tools and thriving community for help throughout your studies.

Here’s a quick glance at this skill path:

Learn how to understand the past and predict the future. Enroll in this career path now!

Probability and Statistics with Python Skill Path Course List


Variables, Data Types, and Lists in Python

Learn the fundamentals of Python programming and data science.

For Loops and Conditional Statements in Python

Learn the fundamentals of Python programming and data science.

Dictionaries, Frequency Tables, and Functions in Python

Learn the fundamentals of Python programming and data science.

Python Functions and Jupyter Notebook

Learn the fundamentals of Python programming and data science.

Python for Data Science Intermediate

Learn important Python data science skills.

Pandas and NumPy Fundamentals

Learn Pandas and NumPy for data science in Python. Join over a million students who learn science career skills with Dataquest. Start for free today!

Data Visualization Fundamentals

Create powerful, compelling data visualizations using Python. Join over a million students developing data science skills with Dataquest. Start for free today!

Python Data Cleaning and Analysis

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

Statistics Fundamentals

Learn about sampling, variables, and distributions.

Intermediate Statistics: Averages and Variability

Learn to summarize distributions, measure variability using variance or standard deviation, and compare values using z-scores.

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.

Probability: Fundamentals

Learn the fundamentals of probability theory using Python.

Who Is This Probability and Statistics with Python Skill Path For?

Probabilities and statistics are important everywhere you go. Coupling these skills with your background in Python will take your skill set to the next level.

Whether you’re in an analyst role and need to quickly work through large sets of data, or you’re a user experience specialist who needs to process user insights and wants a much-needed promotion, this skill path will set you up for success. Start learning today for free.