Data Analyst Nanodegree - Facebook
Course
Online
Description
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Type
Course
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Methodology
Online
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Start date
Different dates available
Learn to clean up messy data, uncover patterns and insights, make predictions using machine learning, and clearly communicate your findings.
Facilities
Location
Start date
Start date
Reviews
Subjects
- Project
- Data analysis
- Design
- Statistics
- Skills and Training
- Testing
Course programme
Data Scientist was rated by Glassdoor as the # 1 Best Job in America for 2016. Join 1,606 other students in our Data Analyst Nanodegree!
We built this program with expert analysts and scientists at leading technology companies to ensure you master the exact skills necessary to build a career in data science.
Learn to clean up messy data, uncover patterns and insights, make predictions using machine learning, and clearly communicate critical findings.
- Project P0: 7 Day Warm-Up: Find the Optimal Chopstick Length
An opportunity to get started with data analysis and receive some quick feedback about your progress. Set up iPython notebook and commonly used data analysis libraries on your own computer. Use them to dig into the results of an experiment testing the optimal length of chopsticks and present your findings.
Supporting CoursesIntro to Descriptive Statistics
Project P0: 7 Day Warm-Up: Find the Optimal Chopstick LengthAn opportunity to get started with data analysis and receive some quick feedback about your progress.
Set up iPython notebook and commonly used data analysis libraries on your own computer. Use them to dig into the results of an experiment testing the optimal length of chopsticks and present your findings.
- Project P1: Test a Perceptual Phenomenon
Use descriptive statistics and a statistical test to analyze the Stroop effect, a classic result of experimental psychology. Give your readers a good intuition for the data and use statistical inference to draw a conclusion based on the results.
Supporting CoursesIntro to Inferential Statistics
Intro to Descriptive Statistics
Project P1: Test a Perceptual PhenomenonUse descriptive statistics and a statistical test to analyze the Stroop effect, a classic result of experimental psychology. Give your readers a good intuition for the data and use statistical inference to draw a conclusion based on the results.
- Project P2: Investigate a Dataset
Choose one of Udacity's curated datasets and investigate it using NumPy and Pandas. Go through the entire data analysis process, starting by posing a question and finishing by sharing your findings.
Supporting CoursesIntro to Data Analysis
Project P2: Investigate a DatasetChoose one of Udacity's curated datasets and investigate it using NumPy and Pandas. Go through the entire data analysis process, starting by posing a question and finishing by sharing your findings.
- Project P3: Wrangle OpenStreetMap Data
Choose any area of the world in https://www.openstreetmap.org and use data munging techniques, such as assessing the quality of the data for validity, accuracy, completeness, consistency and uniformity, to clean the OpenStreetMap data for a part of the world that you care about.
Supporting CoursesData Wrangling with MongoDB
Project P3: Wrangle OpenStreetMap DataChoose any area of the world in https://www.openstreetmap.org and use data munging techniques, such as assessing the quality of the data for validity, accuracy, completeness, consistency and uniformity, to clean the OpenStreetMap data for a part of the world that you care about.
- Project P4: Explore and Summarize Data
Use R and apply exploratory data analysis techniques to explore relationships in one variable to multiple variables and to explore a selected data set for distributions, outliers, and anomalies.
Supporting CoursesData Analysis with R
Project P4: Explore and Summarize DataUse R and apply exploratory data analysis techniques to explore relationships in one variable to multiple variables and to explore a selected data set for distributions, outliers, and anomalies.
- Project P5: Identify Fraud from Enron Email
Play detective and put your machine learning skills to use by building an algorithm to identify Enron Employees who may have committed fraud based on the public Enron financial and email dataset.
Supporting CoursesIntro to Machine Learning
Project P5: Identify Fraud from Enron EmailPlay detective and put your machine learning skills to use by building an algorithm to identify Enron Employees who may have committed fraud based on the public Enron financial and email dataset.
- Project P6: Make Effective Data Visualization
Create a data visualization from a data set that tells a story or highlights trends or patterns in the data. Use either dimple.js or d3.js to create the visualization. Your work should be a reflection of the theory and practice of data visualization, such as visual encodings, design principles, and effective communication.
Supporting CoursesIntro to HTML and CSS
Data Visualization and D3.js
JavaScript Basics
Project P6: Make Effective Data VisualizationCreate a data visualization from a data set that tells a story or highlights trends or patterns in the data. Use either dimple.js or d3.js to create the visualization. Your work should be a reflection of the theory and practice of data visualization, such as visual encodings, design principles, and effective communication.
- Project P7: Design an A/B Test
Make design decisions for an A/B test, including which metrics to measure and how long the test should be run. Analyze the results of an A/B test that was run by Udacity and recommend whether or not to launch the change.
Supporting CoursesA/B Testing
Project P7: Design an A/B TestMake design decisions for an A/B test, including which metrics to measure and how long the test should be run. Analyze the results of an A/B test that was run by Udacity and recommend whether or not to launch the change.
Data Analyst Nanodegree - Facebook