Overview

The Data Analyst programme 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 programme 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

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Programme 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 website

Key information

Duration

Part-time
- 2 days

Start dates & application deadlines

You can apply for and start this programme anytime.

Language

English

Delivered

Online

Campus Location

Mountain View, United States

Disciplines

Data Analytics View 451 other programmes in Data Analytics in United States

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Academic 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

Prior to enrolling, you should have the following knowledge:

File i/o

Inferential statistics

Basic Python

Elementary algebra

Basic SQL

Basic descriptive statistics

You will also need to be able to communicate fluently and professionally in written and spoken English.

Make sure you meet all requirements

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Tuition Fees

Tuition fees are shown in and the most likely applicable fee is shown based on your nationality.

International Applies to you

Applies to you

Non-residents

499 USD / full

≈ 499 USD / full
Out-of-State

499 USD / full

≈ 499 USD / full
Domestic

Applies to you

In-State

499 USD / full

≈ 499 USD / full

Additional Details

249$ - Monthly Subscription - Unlimited access to all Udacity programs, skills and projects

Funding

Win a €10000 Scholarship! Deadline: 30 June 2020

Embark on your journey with the Studyportals Scholarship! We're giving away a total of 20,000 euros to help you achieve your dream of studying abroad.

Win a €10000 Scholarship! Deadline: 30 June 2020

Embark on your journey with the Studyportals Scholarship! We're giving away a total of 20,000 euros to help you achieve your dream of studying abroad.

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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About

Overview

Nanodegree Skills

Get more details

Programme Structure

Check out the full curriculum

Key information

Duration

Start dates & application deadlines

Language

Delivered

Campus Location

Disciplines

Explore more key information

What students do after studying

Academic requirements

English requirements

Other requirements

General requirements

Make sure you meet all requirements

Tuition Fees

International Applies to you

Domestic

Additional Details

Funding

Scholarships Information

Available Scholarships

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