DataCamp Data Engineer Review

DataCamp’s Data Engineer Career Track Review

DataCamp is a data science education company that offers online courses in coding, statistics, and data analysis. It designed the Data Engineer with Python Career Track to help prepare students for the modern workforce.

The courses in the career track will teach you how to use programming languages like Python to solve big problems in the data engineering field. For example, you will learn how to create data pipelines, automate tasks, and build high-performance databases.

Interested in learning more about the Data Engineer with Python Career Track from DataCamp? Read on!

Description of the Data Engineer Career Track

DataCamp’s Data Engineer with Python Career Track will hone your craft of data science and give you the tools to process large volumes of data at a blinding pace. In addition to learning Python, you will gain important skills in Shell, SQL, and Scalato.

From setting up a simple pipeline all the way through building a high-performance database, this career track is designed for people who want to refine their skillset and stay ahead of the curve. For example, the courses in this career track will teach you how to work with big data tools like MongoDB and PySpark.

But our review found that the Data Engineer with Python Career Track from DataCamp is not just about connecting pieces of technology together in order to make something happen. It also teaches best practices in organizational project planning and management expertise. These include things like developing coding strategies. And you will learn practical skills that anyone can use no matter what data science field they are in.

Key Features of the Data Engineer Career Track

DataCamp’s Data Engineer with Python Career Track is 95 hours long and includes 27 interactive courses. You can complete the courses at your own pace, so it is great for students and working professionals.

Before you start the career track, you should have some basic knowledge of Python and SQL. You can take beginner-level courses from DataCamp before starting the career track.

After completing the coursework, you will earn and be able to download a statement of accomplishment. Although this is not exactly the same thing as a professional certificate, you can still use it to demonstrate your new knowledge to your current or future employer.

Key Benefits of the Data Engineer Career Track

Our review found that there are 8 key benefits of the Data Engineer with Python Career Track from DataCamp:

1) Gain the skills you need to become an expert in data engineering.

2) Become a master of Python, SQL, Shell, and Scalato.

3) Learn about data engineering pipelines.

4) Be able to build your own data pipeline from scratch.

4) Learn how to work with databases, wrangle data, and configure schedules to run your pipelines.

5) Be prepared for anything in this fast-paced field.

6) Have the confidence to take on any data engineering challenge.

7) Be the go-to person in your company for all things data.

8) Become a Data Engineer with great Python skills.

Price of the Data Engineer Career Track

The Data Engineer with Python Career Track is included in all of DataCamp’s paid subscription plans. These prices range from $25 per month for the standard plan to $33.25 per month for the premium plan. You can sign up for those plans here.

And if you want more information, you can read our review on the pricing options of DataCamp’s subscription plans.

Length of the Data Engineer Career Track

The Data Engineer with Python Career Track includes 27 self-paced courses. Here is a list of the courses you will take:

1) Data Engineering for Everyone (2 hours)

2) Python Programming (time depends on prior knowledge)

3) Introduction to Data Engineering (4 hours)

4) Streamlined Data Ingestion with pandas (4 hours)

5) Writing Efficient Python Code (4 hours)

6) Writing Functions in Python (4 hours)

7) Introduction to Shell (4 hours)

8) Data Processing in Shell (4 hours)

9) Introduction to Bash Scripting (4 hours)

10) Unit Testing for Data Science in Python (4 hours)

11) Object-Oriented Programming in Python (4 hours)

12) Introduction to Airflow in Python (4 hours)

13) Introduction to PySpark (4 hours)

14) Building Data Engineering Pipelines in Python (4 hours)

15) Introduction to AWS Boto in Python (4 hours)

16) Data Analysis in SQL and PostgreSQL (time depends on prior knowledge)

17) Introduction to Relational Databases in SQL (4 hours)

18) Database Design (4 hours)

19) Introduction to Scala (3 hours)

20) Big Data Fundamentals with PySpark (4 hours)

21) Cleaning Data with PySpark (4 hours)

22) Introduction to Spark SQL in Python (4 hours)

23) Cleaning Data in SQL Server Databases (4 hours)

24) Transactions and Error Handling in SQL Server (4 hours)

25) Building and Optimizing Triggers in SQL Server (4 hours)

26) Improving Query Performance in SQL Server (4 hours)

27) Introduction to MongoDB in Python (4 hours)

Who Is DataCamp’s Data Engineer Career Track Best For?

This career track is best for aspiring data engineers who want the skills they need in order to work at tech companies like Google or Facebook. You will learn how to build an effective data architecture, streamline data processing, and maintain large-scale data systems. These skills are in high-demand and can help you land your dream job.

Is DataCamp’s Data Engineer Career Track Worth It?

We think DataCamp’s Data Engineer with Python career track is worth it. Data engineers are in high demand. But the job description is vague and telling what you need to learn to become a data engineer can be difficult.

Our review found that the Data Engineer with Python Career Track from DataCamp offers an in-depth look at the skills that employers want from their data engineers. It includes over 95 hours of video lectures with exercises, quizzes, and projects. That means you will be prepared for any future interview, coding challenge, or entry-level job.

However, there are many other online data engineering courses that are just as good. If you want to do more research, you can read our review of the best online data engineering courses.

Our Final Thoughts on DataCamp’s Data Engineer Career Track

DataCamp’s Data Engineer with Python Career Track is a well-priced, accessible, and engaging introduction to the world of data engineering. DataCamp designed it specifically for self-directed learners who want to learn more about this lucrative field without having to pay tuition fees or take time off work.

The course includes over 95 hours of content that covers everything from basic programming concepts all the way up to advanced techniques. If you are interested in getting into data engineering but don’t know how best to do it, check out this career track. We think you will really like it.