Question 1

Why should I sign up?

Accepted Answer

You can learn data skills such as statistics and Python through the Data Analyst Nanodegree program. You will be able to show your ability solve complex data problems through a portfolio you have built during the program. After graduating, you will have the skills needed to join a large corporation or a small firm, or even go independent as a freelance data analyst.You'll have personalized support as you master in-demand skills that qualify you for high-value jobs in the data field. To help you build a career in data and find a job that you love, you will also get career support through portfolio and profile reviews.

Question 2

What are the jobs this program will prepare me for?

Accepted Answer

Graduates will be well-prepared to fulfill a variety of data-related roles. These roles include Data Analyst, Analytics Consultants, Product Managers, and Management Consultants.

Question 3

How can I tell if this program suits me?

Accepted Answer

This program is for anyone who is looking to make data-driven decisions, work with different types of data, or become a data analyst. You'll learn data visualization with Matplotlib and data wrangling using Python. This program will prepare you to work as an Analytics Consultant or Data Analyst. To succeed in this program you will need to have experience with Python and Pandas. If you are ready to put those skills to use on real-world projects, we encourage you enroll now.

Question 4

What are the requirements to apply? What admission criteria do you apply for?

Accepted Answer

No. No.

Question 5

What are the requirements for enrollment?

Accepted Answer

To be successful in this program, you should have the following experience: Python programming, including common data analysis library (e.g. NumPy or Pandas).SQL ProgrammingYou should also know how to read and write English.

Question 6

How is the Nanodegree program organized?

Accepted Answer

Data Analyst Nanodegree is a program that provides content and curriculum for five (5) projects. The program can be completed in approximately four (4) months by students working 10 hours per day. If you fail to pass the project, feedback will be given and you will be asked for a resubmission.

Question 7

What is the length of this Nanodegree program?

Accepted Answer

The Nanodegree program is available for the duration of the payment card. You can continue your education with monthly payments if you don't graduate within the time frame. For more information on accessing our Nanodegree programs, please refer to the FAQs and Terms of Use.

Question 8

Can I change my start date? Can I get a full refund?

Accepted Answer

For policies regarding enrollment in our programs, please refer to the Udacity Program Terms and Use and FAQs.

Question 9

I am a Data Analyst and want to continue learning. What should I do next?

Accepted Answer

To take the Data Analyst concepts and apply them to machine learning and neural networks, check out our Data Scientist Nanodegree program. These advanced concepts will enhance your skills and make you more appealing to employers looking for data scientists or analysts.

Question 10

What software versions and software will I need for this program?

Accepted Answer

You will need an internet connection and a 64-bit processor to participate in the Nanodegree program.Additional software, such as Python or its data analysis libraries (e.g. NumPy or Pandas), will be needed. However, the program will help students to download these once they have started the course.

Data Analyst

Course Report

Course Features

Course Description

Module 1: Welcome to the Data Analyst Nanodegree Program

Module 2: Introduction to Data Analysis with Pandas and NumPy

Module 3: Advanced Data Wrangling

Module 4: Data Visualization with Matplotlib and Seaborn

Course FAQs