Data Engineering

Data Engineering Learning Path – your master key to unlocking the door to a successful Data/BI/ETL Engineering career. All the essentials - SQL, ETL using SSIS, Python – are expertly combined in this one stop shop to empower you to play with data like an expert.

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About


In this learning path, 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 understand how data engineers collect, clean, and catalog data. By the end of the course, you’ll understand what data engineers do and have a solid foundation to start your own data engineer journey. You will 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. Also how data engineers make the flow of data smooth for analysis and prediction. Fill your resume with all the skills you need impress a recruiter and get hired tomorrow!

  • Salient Features
  • 100% online courses
  • Flexible Schedule
  • Beginner Level
  • English

Why Data Engineering


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. With the world becoming digital there are zillion bytes’ data being generated every day. But all of that data is useless until arrange it properly, only then we can use it for analysis, prediction and what not. Hence companies value the people who handle their most prized asset i.e. Data accordingly.

Curriculum


  • Assess and create datasets to solve your problems using SQL
  • Extract data from a database writing your own queries
  • Fundamental Python programming skills
  • Hands-on experience with Python libraries liking Numpy and pandas
  • Use SQL to create, design, and manipulate SQL databases
  • Perform ETL using SSIS
  • Running, Manipulating and deploying data models using python.
  • Expertise in Big Data

Reviews


"Taking this course changed my perspective on data engineering as it starts with the basics and goes all the way to the advanced concepts. I enjoyed the interactive classes and the practical exercises related to every topic taught in the sessions. Highly recommended!"

- Stive Brown

"This course teaches you two key components of any data pipeline are data lakes and warehouses. This course highlights use-cases for each type of storage and dives into the available data lake and warehouse solutions. Delighted to write a review for this course as I enjoyed it a lot."

- Sarjeet Kumar

Start Learning Today


  • Taught by top companies and universities
  • Apply your skills with hands-on projects
  • Learn on your own schedule
  • Course videos and readings
  • Graded quizzes and assignments
  • No degree or experience required for this programs