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data-analyst-nanodegree's Introduction

Data Analyst Nanodegree

Program Description

This program will prepare you for a data science career. Learn to use Python, R, SQL, and Tableau to uncover insights, communicate critical findings, and create data-driven solutions.

Graduation Certificate

Projects

  1. Investigate a Dataset
    Posed a question about a dataset, then used NumPy and Pandas to answer that question based on the data and created a report to share the results.

  2. Wrangle OpenStreetMap Data
    Chose a region and used data munging techniques to assess the quality of the data for validity, accuracy, completeness, consistency and uniformity.

  3. Explore and Summarize Data
    Investigated a dataset using R and exploratory data analysis techniques, exploring both single variables and relationships between variables.

  4. Test a Perceptual Phenomenon
    Analyzed the Stroop effect using descriptive statistics to provide an intuition about the data, and inferential statistics to draw a conclusion based on the results.

  5. Identify Fraud from Enron Email
    Identified which Enron employees are more likely to have committed fraud using machine learning and public Enron financial and email data.

  6. Create a Tableau Story
    Created a data visualization from a data set using Tableau to tell a story or highlight trends or patterns in the data.

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Contributors

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Watchers

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