Udacity Data Engineering Nanodegree Review in 2021
Tags: datascience, machinelearning, analytics, analyst
Published: 2021-03-06 07:49:44

Are you planning to enroll in [Udacity Data Engineering Nanodegree](https://imp.i115008.net/q7bmn)? If yes, then wait and read this Udacity Data Engineering Nanodegree Review and then decide whether to enroll or not. 

In this udacity data engineering Nanodegree review, I tried to cover all the important points you need to know before paying to the [Udacity Data Engineering Nanodegree](https://imp.i115008.net/q7bmn). So give your few minutes and get your answer to this question- Is Udacity Data Engineering Nanodegree Worth It?

So, without any delay, let’s get started-

#**Udacity Data Engineering Nanodegree Review**

Before enrolling in [Udacity Data Engineering Nanodegree](https://imp.i115008.net/q7bmn), the first thing you need to know is the eligibility criteria or the Prerequisites.

Because without having prerequisite knowledge, you will feel lost in the Nanodegree program and you may think that you have wasted your money with the wrong program. That’s why this is the first parameter I always consider before selecting any course.

So, let’s see what are the prerequisites for Udacity Data Engineering Nanodegree–

##**Prerequisites**

The first thing, I would like to mention is that [Udacity Data Engineering Nanodegree](https://imp.i115008.net/q7bmn) is **not a beginner-level program**. This is really the only intermediate-advanced data engineering course out there. This Nanodegree program requires the following skills before enrolling in the program-

**1. Python–**

If you are a beginner in Python, then don’t directly jump to this program. In order to get 100% from [Udacity Data Engineering Nanodegree Program](https://imp.i115008.net/q7bmn), you need to have knowledge of-

1. Strings, numbers, and variables; statements, operators, and expressions;
2. Lists, tuples, and dictionaries; Conditions, loops;
3. Procedures, objects, modules, and libraries;
4. Troubleshooting and debugging; Research & documentation;
5. Problem-solving; Algorithms and data structures

**2. SQL-**

Along with Python knowledge, you should be familiar with SQL programmings such as Joins, Aggregations, Subqueries, Table definition, and manipulation (Create, Update, Insert, Alter).

If you meet the following prerequisites, then I would say you are ready for the [Udacity Data Engineering Nanodegree](https://imp.i115008.net/q7bmn). If not, then I would say first learn Python and SQL.

The next important thing you need to know is- Who will teach you? and What are their qualifications? So let’s see the information of the Instructors-

##**Instructors**

1. Amanda Moran– She is a developer advocate at DataStax.
2. Ben Goldberg– Staff Engineer at SPOTHERO
3. Sameh El-Ansary– CEO of Novelari & Assistant professor at Nile University
4. Olli Livonen– Data Engineer at WOLT
5. David Drummond- VP of Engineering at Insight
6. Judit Lantos- Data Engineer at Split
7. Juno Lee- Instructor


Amazing…Right?

Learning from such experienced and knowledgeable instructors is really amazing and helpful. This is the reason, I personally love Udacity.

[Udacity](https://imp.i115008.net/q7bmn) also has its forums, where you can ask instructors your doubt, and they will answer your query.

Now the next important thing you need to know is the Structure of the Course. So, let’s have a look at the course structure.

**[Click to continue reading...](https://www.mltut.com/udacity-data-engineering-nanodegree-review/)**