“I can’t believe how easily and clearly complex material is presented on Dataquest. Even beginners can learn on Dataquest.”

## Course overview

In this course, we’ll build on the fundamentals of probabilities, including the theoretical and empirical probabilities, the probability rules ( the addition rule and the multiplication rule), and the counting techniques (the rule of product, permutations, and combinations).

You’ll learn to assign probabilities to events based on certain conditions by using conditional probability rules, how to assign probabilities to events based on whether they are in a relationship of statistical independence with other events, and how to assign probabilities to events based on prior knowledge by using Bayes’s theorem. You’ll also learn to create a spam filter for SMS messages using the multinomial Naive Bayes algorithm.

Best of all, you’ll learn by doing — you’ll practice and get feedback directly in the browser.

## Key skills

• Assigning probabilities based on conditions
• Assigning probabilities based on prior knowledge
• Assigning probabilities based on event independence
• Creating spam filters using multinomial Naive Bayes

## Course outline

### Conditional Probability: Fundamentals 1h

Lesson Objectives
• Define conditional probability
• Assign probabilities based on conditions
• Identify the standard notation for conditional probability

### Conditional Probability: Intermediate 1h

Lesson Objectives
• Define the conditional probability rules
• Employ the multiplication rule
• Identify statistical independence between events

### Bayes Theorem 1h

Lesson Objectives
• Assign probabilities based on prior knowledge
• Employ Bayes' Theorem
• Employ the law of total probability

### The Naive Bayes Algorithm 1h

Lesson Objectives
• Identify how a spam filter works
• Employ the Naive Bayes algorithm
• Define the multinomial Naive Bayes algorithm

### Guided Project: Building a Spam Filter with Naive Bayes 1h

Lesson Objectives
• Expand your portfolio with a guided Naive Bayes project
• Employ conditional probability concepts in a practical setting

## Projects in this course

### Building a Spam Filter with Naive Bayes

For this project, we’ll step into the role of data scientists to build a spam filter for SMS messages. We’ll apply conditional probability concepts and use the Naive Bayes algorithm in R.

## The Dataquest guarantee

Dataquest has helped thousands of people start new careers in data. If you put in the work and follow our path, you’ll master data skills and grow your career.

We believe so strongly in our paths that we offer a full satisfaction guarantee. If you complete a career path on Dataquest and aren’t satisfied with your outcome, we’ll give you a refund.

## Master skills faster with Dataquest

### Go from zero to job-ready

Learn exactly what you need to achieve your goal. Don’t waste time on unrelated lessons.

Build confidence with our in-depth projects, and show off your data skills.

### Challenge yourself with exercises

Work with real data from day one with interactive lessons and hands-on exercises.

Share the evidence of your hard work with your network and potential employers.

98%
of learners recommend
4.85
Dataquest rating
SwitchUp Best Bootcamps
\$30k
Average salary boost
for learners who complete a path

### Aaron Melton

“Dataquest starts at the most basic level, so a beginner can understand the concepts. I tried learning to code before, using Codecademy and Coursera. I struggled because I had no background in coding, and I was spending a lot of time Googling. Dataquest helped me actually learn.”

### Jessica Ko

#### Machine Learning Engineer at Twitter

“I liked the interactive environment on Dataquest. The material was clear and well organized. I spent more time practicing then watching videos and it made me want to keep learning.”

### Victoria E. Guzik

#### Associate Data Scientist at Callisto Media

“I really love learning on Dataquest. I looked into a couple of other options and I found that they were much too handhold-y and fill in the blank relative to Dataquest’s method. The projects on Dataquest were key to getting my job. I doubled my income!”

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