DataCamp

Understanding Data Engineering (DataCamp)

Offered by DataCamp,

Discover how data engineers lay the groundwork that makes data science possible. No coding involved! In 2019, the average salary for data engineers overtook data scientists. How did this happen? Companies wanting to find the gold within their data realized it wasn’t possible if they hadn’t yet built the mine. Data engineers lay the foundations that make data science possible.

Class Deals by MOOC List - Click here and see DataCamp's Active Discounts, Deals, and Promo Codes.

In this course, you’ll learn about a data engineer’s core responsibilities, how they differ from data scientists, and facilitate the flow of data through an organization. Through hands-on exercises you’ll follow Spotflix, a fictional music streaming company, to understand how their data engineers collect, clean, and catalog their data. By the end of the course, you’ll understand what your company's data engineers do, be ready to have a conversation with a data engineer, and have a solid foundation to start your own data engineer journey.

Chapter 1: What is data engineering?
In this chapter, you’ll learn what data engineering is and why demand for them is increasing. You’ll then discover where data engineering sits in relation to the data science lifecycle, how data engineers differ from data scientists, and have an introduction to your first complete data pipeline.

Chapter 2: Storing data
It’s time to talk about data storage—one of the main responsibilities for a data engineer. In this chapter, you’ll learn how data engineers manage different data structures, work in SQL—the programming language of choice for querying and storing data, and implement appropriate data storage solutions with data lakes and data warehouses.

Chapter 3: Moving and processing data
Data engineers make life easy for data scientists by preparing raw data for analysis using different processing techniques at different steps. These steps need to be combined to create pipelines, which is when automation comes into play. Finally, data engineers use parallel and cloud computing to keep pipelines flowing smoothly.

Go to Class

MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Related Courses

Coursera

Duke University

Introduction to Machine Learning (Coursera)

Data Science

This course will provide you a foundational understanding of machine learning models (logistic regression, multilayer perceptrons, convolutional neural networks, natural language processing, etc.) as well as demonstrate how these models can solve complex problems in a variety of industries, from medical diagnostics to image recognition to text prediction.

Sep 21st 2026

5-12 Weeks

ML NLP Machine Learning

Coursera

University of Geneva

Precision Medicine (Coursera)

Sci: Biology & Life Sciences Health & Society

This course will provide you with the key knowledge and tools to understand the fundamentals and practical implications of precision medicine, its opportunities and challenges. It will address precision-medicine era diagnostics, treatment selection, genetic counseling, public health interventions, and biomedical research. It will also deal with data science and ethical issues. From genomic analysis and genetic counseling to cancer biomarkers, from risk assessment of chronic diseases to the understanding of gene-environment interactions, from pharmacogenomics to multi-omics data integration, experts will walk you through the many aspects of precision medicine, from the bench to the bedside and to population health.

Sep 21st 2026

5-12 Weeks

Medicine Health Cancer

DataCamp

Understanding Data Science (DataCamp)

Data Science

An introduction to data science with no coding involved. What is data science, why is it so popular, and why did the Harvard Business Review hail it as the “sexiest job of the 21st century”? In this non-technical course, you’ll be introduced to everything you were ever too afraid to ask about this fast-growing and exciting field, without needing to write a single line of code.

Self Paced

Self-Paced

Machine Learning Data Science Data Collection

DataCamp

Introduction to Python (DataCamp)

CS: Programming Data Science

Master the basics of data analysis in Python. Expand your skillset by learning scientific computing with NumPy. In our Introduction to Python course, you’ll learn about powerful ways to store and manipulate data, and helpful data science tools to begin conducting your own analyses. Start DataCamp’s online Python curriculum now.

Self Paced

Self-Paced

Python Data Analysis Data Science

Coursera

IBM

Machine Learning Rapid Prototyping with IBM Watson Studio (Coursera)

Data Science

An emerging trend in AI is the availability of technologies in which automation is used to select a best-fit model, perform feature engineering and improve model performance via hyperparameter optimization. This automation will provide rapid-prototyping of models and allow the Data Scientist to focus their efforts on applying domain knowledge to fine-tune models. This course will take the learner through the creation of an end-to-end automated pipeline built by Watson Studio’s AutoAI experiment tool, explaining the underlying technology at work as developed by IBM Research.

Sep 14th 2026

4 Weeks

Python Artificial Intelligence Prototyping

Coursera

IBM

IBM Data Topology (Coursera)

CS: Information & Technology

Every business and organization is facing new challenges with their data. Pressures related to regulation and compliance, leveraging AI, spanning multicloud environments, and increasing volumes of inaccessible data are forcing executives and administrators to either modernize their infrastructures or become obsolete.

Sep 14th 2026

1 Week

Artificial Intelligence Data Management Data Science

Coursera

University of California, San Diego

Genomic Data Science and Clustering (Bioinformatics V) (Coursera)

Sci: Biology & Life Sciences Health & Society

How do we infer which genes orchestrate various processes in the cell? How did humans migrate out of Africa and spread around the world? In this class, we will see that these two seemingly different questions can be addressed using similar algorithmic and machine learning techniques arising from the general problem of dividing data points into distinct clusters.

Sep 7th 2026

3 Weeks

Clustering Bioinformatics Data Science

Coursera

IBM

Machine Learning Introduction for Everyone (Coursera)

Data Science

This three-module course introduces machine learning and data science for everyone with a foundational understanding of machine learning models. You’ll learn about the history of machine learning, applications of machine learning, the machine learning model lifecycle, and tools for machine learning. You’ll also learn about supervised versus unsupervised learning, classification, regression, evaluating machine learning models, and more.

Sep 14th 2026

3 Weeks

ML Artificial Intelligence Machine Learning

Coursera

Johns Hopkins University

Managing Data Analysis (Coursera)

Management & Leadership Statistics & Data Analysis

This one-week course describes the process of analyzing data and how to manage that process. We describe the iterative nature of data analysis and the role of stating a sharp question, exploratory data analysis, inference, formal statistical modeling, interpretation, and communication. In addition, we will describe how to direct analytic activities within a team and to drive the data analysis process towards coherent and useful results.

Sep 7th 2026

1 Week

Strategy Communication Inference

Coursera

Google Cloud

Preparing for the Google Cloud Professional Data Engineer Exam (Coursera)

CS: Information & Technology Computer Science

From the course: "The best way to prepare for the exam is to be competent in the skills required of the job." This course uses a top-down approach to recognize knowledge and skills already known, and to surface information and skill areas for additional preparation. You can use this course to help create your own custom preparation plan. It helps you distinguish what you know from what you don't know. And it helps you develop and practice skills required of practitioners who perform this job.

Sep 21st 2026

5-12 Weeks

Machine Learning Data Engineer Google Cloud

Coursera

Johns Hopkins University

Introduction to Genomic Technologies (Coursera)

Statistics & Data Analysis Data Science

This course introduces you to the basic biology of modern genomics and the experimental tools that we use to measure it. We'll introduce the Central Dogma of Molecular Biology and cover how next-generation sequencing can be used to measure DNA, RNA, and epigenetic patterns. You'll also get an introduction to the key concepts in computing and data science that you'll need to understand how data from next-generation sequencing experiments are generated and analyzed.

Sep 14th 2026

4 Weeks

Biology DNA RNA

Coursera

IBM

Data Engineering Career Guide and Interview Preparation (Coursera)

Personal and Professional Development

This course is designed to prepare you to enter the job market as a data engineer. It provides guidance about the regular functions and tasks of data engineers and their place in the data ecosystem, as well as the opportunities of the profession and some options for career development. It explains practical techniques for creating essential job-seeking materials such as a resume and a portfolio, as well as auxiliary tools like a cover letter and an elevator pitch.

Sep 14th 2026

4 Weeks

Interview Interviewing Job Interview