Overview
The Data Analyst program at Udacity 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.
Nanodegree Skills
- Introduction to Data Analysis with Pandas and NumPy
Pandas • Exploratory data analysis • Basic data visualizations • Jupyter notebooks • Data storytelling • Data analysis process • NumPy • Data manipulation
- Advanced Data Wrangling
Data cleaning • Data storage • Data Tidiness Assessment • Data gathering • Pandas • Data quality assessment • Data wrangling • File i/o
- Data Visualization with Matplotlib and Seaborn
Latent variables • Data visualization design • Data fluency • Exploratory data analysis • Professional presentations • Data limitations and biases • Data storytelling • Jupyter notebooks • Quantitative data visualization
Get more details
Visit programme websiteProgramme Structure
Courses include:
- Data Analysis with Pandas and NumPy
- Advanced Data Wrangling
- Data Visualization with Matplotlib and Seaborn
Check out the full curriculum
Visit programme websiteKey information
Duration
- Part-time
- 3 months
Start dates & application deadlines
Language
Delivered
Disciplines
Data Analytics View 361 other programmes in Data Analytics in United StatesExplore more key information
Visit programme websiteAcademic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
We are not aware of any English requirements for this programme.
Other requirements
General requirements
To optimize your success in this program, we've created a list of prerequisites and recommendations to help you prepare for the curriculum. Prior to enrolling, you should have the following knowledge:
- Inferential statistics
- Basic Python
- Elementary algebra
- Basic SQL
- Basic descriptive statistics
Make sure you meet all requirements
Visit programme websiteTuition Fee
-
International
249 USD/moduleTuition FeeBased on the tuition of 249 USD per module during 3 months. -
National
249 USD/moduleTuition FeeBased on the tuition of 249 USD per module during 3 months.
249$ - Monthly Subscription - Unlimited access to all Udacity programs, skills and projects
Funding
In order for us to give you accurate scholarship information, we ask that you please confirm a few details and create an account with us.
Scholarships Information
Below you will find Master's scholarship opportunities for Data Analyst.
Available Scholarships
You are eligible to apply for these scholarships but a selection process will still be applied by the provider.
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