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nd002-syllabus 2018-June v9



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Data Analyst
N A N O D E G R E E P R O G R A M S Y L L A B U S


Data Analyst | 2
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Overview
This program prepares you for a career as a data analyst by helping you learn to organize data, uncover
patterns and insights, draw meaningful conclusions, and clearly communicate critical findings. You’ll 
develop proficiency in Python and its data analysis libraries (Numpy, pandas, Matplotlib) and SQL as you 
build a portfolio of projects to showcase in your job search.
Depending on how quickly you work through the material, the amount of time required is variable. We have
included an hourly estimation for each section of the program. The program covers one term of three
month (approx. 13 weeks). If you spend about 10 hours per week working through the program, you should
finish the term within 13 weeks. Students will have an additional four weeks beyond the end of the term to
complete all projects.
In order to succeed in this program, we recommend having experience working with data in
Python (Numpy and Pandas) and SQL.
Prerequisites
Python & SQL 
Flexible Learning:
Self-paced, so 
you can learn on 
the schedule that 
works best for you
Estimated Time
4 Months at 
10hrs/week
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udacity.com/advisor 
Discuss this program 
with an enrollment 
advisor.
IN COLL ABOR ATION WITH


Data Analyst | 3
Need Help? Speak with an Advisor: 
www.udacity.com/advisor
Course 1: Introduction to Data Analysis
Learn the data analysis process of wrangling, exploring, analyzing, and communicating data. Work with data in 
Python, using libraries like NumPy and Pandas.

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