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Data Analyst

Nanodegree Program

Learn to clean up messy data, uncover patterns and insights, make predictions using machine learning, and clearly communicate your findings.

Learn to clean up messy data, uncover patterns and insights, make predictions using machine learning, and clearly communicate your findings.

Intermediate

3 months

Real-world Projects

Completion Certificate

Last Updated February 12, 2024

Skills you'll learn:
Latent variables • Data visualization design • Data fluency • Exploratory data analysis
Prerequisites:
Inferential statistics • Basic Python • Elementary algebra

Courses In This Program

Course 1 15 minutes

Welcome to the Data Analyst Nanodegree Program

Course 2 3 weeks

Introduction to Data Analysis with Pandas and NumPy

Learn the data analysis process of questioning, wrangling, exploring, analyzing, and communicating data. You will work with data in Python using libraries like NumPy and pandas.

Course 3 4 weeks

Advanced Data Wrangling

Data wrangling is a set of processes for turning raw and messy data into a clean format to answer interesting questions from the data. In this course, you will learn the three phases of data wrangling: gathering, assessing, and cleaning data.

Course 4 4 weeks

Data Visualization with Matplotlib and Seaborn

Learn to apply sound design and data visualization principles to the data analysis process. Learn how to use analysis and visualizations to tell a story with data.

Taught By The Best

Photo of Josh Magee

Josh Magee

Senior Data Scientist

Josh is a Senior Data Scientist at Local Logic, where he models commercial real estate trends, acquisitions, and sustainable cities. He was formerly Assistant Professor of Data Analytics at Stonehill College, and was a postdoctoral researcher in nuclear physics at Lawrence Livermore National Laboratory.

Photo of Ria Cheruvu

Ria Cheruvu

Intel NEX AI Ethics Lead Architect

Ria is Intel NEX AI Ethics Lead Architect, leading trustworthy AI. She is an emerging industry speaker and has a master's in data science from Harvard University. Ria previously served as a Teaching Fellow for Harvard's 2021 Data Science graduate curriculum and Lead Instructor for Eduonix's ML Deployment course.

Photo of Matt Maybeno

Matt Maybeno

Principal Software Engineer

Matt is a Principal Software Engineer at SOCi. With a masters in Bioinformatics from SDSU, he utilizes his cross domain expertise to build solutions in NLP and predictive analytics.

Ratings & Reviews

Average Rating: 4.8 Stars

(1184 Reviews)

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Demonstrate proficiency with practical projects

Projects are based on real-world scenarios and challenges, allowing you to apply the skills you learn to practical situations, while giving you real hands-on experience.

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About Data Analyst

Our Data Analyst Nanodegree program is a meticulously crafted data analyst online course that imparts essential skills for cleaning up messy data, uncovering patterns and insights, making predictions with machine learning, and effectively communicating findings. This intermediate-level program involves real-world projects where learners can apply their skills in data visualization, exploratory data analysis, latent variables, and more. The curriculum includes hands-on experience with Python, Pandas, NumPy, as well as advanced data wrangling and visualization using Matplotlib and Seaborn. At Udacity, we empower our learners with practical, industry-relevant skills taught by professionals like Josh Magee, Ria Cheruvu, and Matt Maybeno. Our data analyst course is designed not just to impart knowledge but to ensure its application in real-world scenarios, enhancing both understanding and skill retention. Join us to advance your career in data analysis, where we provide the tools and support for your professional growth.