Touchdown a Knowledge Engineer Position: Free Programs and Certifications

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Landing a Data Engineer Role

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Folks say it is best to contemplate worth for cash when shopping for issues. Nonetheless, the most effective worth for cash is getting one thing good for free. However do such issues exist? Supposedly not, if we go by the saying, “No such factor as a free lunch.”

I declare there’s a free lunch, and I’m about to show it! I dug out 10 instructional ‘free lunches’ – free information engineering programs that additionally present high quality information.  It’s true; there’s way more selection and selection when you can or wish to pay tens, tons of, typically even hundreds of {dollars}.

Many such programs are thought of free on another free course lists. Paying $90 one-off or $45/month is free to some individuals. However many individuals don’t have that cash for a ‘free’ course, regardless of being very prepared to be taught information engineering. (Additionally, let’s get actual! Free actually means, nicely, free! Not ‘low cost’, not ‘little or no cash’, or ‘reasonably priced’. Free!)

From what I researched, these programs actually are free. Many are from edX. If you happen to select free entry to the course, you could full it in a sure time, often round six months. However that must be sufficient to finish each course comfortably. Additionally, free entry means you don’t get lifetime entry to all of the supplies (they’re deleted when you end) and don’t get a certificates. Regardless of this, it is best to be capable of use these programs to study information engineering.

Earlier than I speak concerning the programs, let’s briefly overview the information engineer’s function. That manner, realizing what to search for in programs might be simpler.

 

Understanding the Position of a Knowledge Engineer

 

Very merely, information engineers are in control of making information out there to information workforce members and different stakeholders. In doing so, they wrangle information and construct and keep information infrastructure, e.g., ETL course of, information pipelines, information storage.

Understanding the Role of a Data EngineerUnderstanding the Role of a Data Engineer

Naturally, the programs ought to cowl all or a few of these expertise. Let’s take a more in-depth take a look at the programs – pun meant – that can comprise your instructional free lunch.

 

Free Knowledge Engineering Programs

 

1. Knowledge Engineering by ASU

Platform and hyperlink to the course: edX

Length: 5 weeks at 1-9 hours/week; be taught at your personal tempo

Description: This introductory-level course by Arizona State College focuses on working with databases in information engineering and methods to work together with them utilizing SQL. You’ll study database construction, the star schema, and becoming a member of information from a number of tables. Within the ultimate stage, you’ll learn to create experiences with SQL and write scripts for information processing.

 

2. Python and Pandas for Knowledge Engineering by Pragmatic AI Labs

Platform and hyperlink to the course: edX

Length: 4 weeks at 3-6 hours/week; be taught at your personal tempo

Description: In yet one more introductory edX course, you’ll be taught Python and pandas for information engineering. The introduction to Python consists of matters equivalent to easy statements, if statements, whereas loops, and capabilities. Then, you’ll study information manipulation in Pandas (notably DataFrames) and its options, equivalent to NumPy, Spark, and PySpark. Within the final module, you’ll study Python improvement environments and model management.

 

3. Scripting with Python and SQL for Knowledge Engineering by Pragmatic AI Labs

Platform and hyperlink to the course: edX

Length: 4 weeks at 3-6 hours/week; be taught at your personal tempo

Description: If you wish to be taught SQL and Python for information engineering concurrently, that is the course for you. You’ll use Python’s built-in information constructions to control information and write Python scripts for information process automation. The course additionally teaches you internet scraping and utilizing SQLite to retailer and question information in Python. Concerning SQL, you’ll learn to import and export information from MySQL database and methods to execute MySQL queries in VSCode.

 

4. Cloud Knowledge Engineering by Pragmatic AI Labs

Platform and hyperlink to the course: edX

Length: 4 weeks at 3-6 hours/week; be taught at your personal tempo

Description: This course will train you information engineering within the cloud. You’ll study methodologies in information engineering, develop distributed techniques, serverless information engineering techniques, and cloud ETL pipelines, and study information governance. Within the course of, you’ll get in contact with applied sciences equivalent to:

  • CUDA
  • Numba
  • ASICs
  • Colab Professional
  • Colab API
  • Google BigQuery
  • AWS
  • Databricks SQL
  • Click on
  • Python
  • Rust

That is additionally an introductory course with no stipulations wanted.

 

5. Constructing ETL and Knowledge Pipelines with Bash, Airflow and Kafka by IBM

Platform and hyperlink to the course: edX

Length: 5 weeks at 2-4 hours/week; be taught at your personal tempo

Description: This information engineering course focuses on constructing ETL and information pipelines. Throughout the course, you’ll be taught what ETL and ELT processes are, create ETL utilizing Bash shell scripts, use Apache Airflow to create batch information pipelines, and Apache Kafka for streaming information pipelines.

That is an introductory course to those matters however requires expertise working with relational databases, SQL, and Bash shell scripting.

 

6. Knowledge Warehousing and BI Analytics by IBM

Platform and hyperlink to the course: edX

Length: 6 weeks at 2-3 hours/week; be taught at your personal tempo

Description: This intermediate course by IBM teaches you the necessities of information warehouses, information marts, and information lakes. You’ll learn to design, mannequin, and implement information warehouses. Extra particularly, you’ll use CUBEs, ROLLUPs, materialized views, and tables. You’ll additionally study info and dimensional modeling, information modeling with star and snowflake schemas, staging areas for information warehouses, information high quality, and populating an information warehouse with information. Within the third module, you’ll work on information warehouse analytics in Cognos Analytics.

The course requires expertise with SQL and relational databases.

 

7. Apache Spark for Knowledge Engineering and Machine Studying by IBM

Platform and hyperlink to the course: edX

Length: 3 weeks at 2-3 hours/week; be taught at your personal tempo

Description: One more intermediate course. It focuses on educating Apache Spark. It’s an vital software in information engineering, so that you’ll study Spark Structured Streaming, GraphFrames, ETL course of, and ML pipelines. As well as, you’ll be taught ML fundamentals, equivalent to regression, classification, and clustering.

The course requires foundational Apache Spark information. It’s additionally prompt that you just full the Large Knowledge, Hadoop and Spark Fundamentals course by IBM.

 

8. DE Zoomcamp

Platform and hyperlink to the course: DataTalks.Membership

Length: 10 weeks; be taught at your personal tempo

Description: Lastly, a course from a distinct platform! This on-line boot camp will give you complete information engineering information. It’ll train you containerization and infrastructure, workflow orchestration, information warehousing, analytics engineering, batch processing, and streaming. You’ll be launched to applied sciences equivalent to Google Cloud Platform, Terraform, Docker, SQL, Mage, dbt, Apache Spark, and Apache Kafka.

The stipulations for this bootcamp are the SQL fundamentals. Additionally, it’s preferable that you’ve expertise with Python or, if not, another programming language.

 

9. DE Finish-to-Finish Tasks

Platform and hyperlink to the course: DE Academy

Length: No data.

Description: It is a project-based challenge through which you’ll learn to use AWS, Snowflake, Python,Kafka, Azure, Databricks, Airflow, and Tableau. You’ll analyze and remodel information, migrate it, and streamline workflows.

 

10. Scala Programming for Knowledge Science

Platform and hyperlink to the course: Cognitive Class AI

Length: 20 hours; be taught at your personal tempo

Description: This studying path consists of three programs. The primary is Scala 101, which is able to train you the fundamentals of object-oriented programming, case objects & lessons, collections, and idiomatic Scala. Within the second course, Spark Overview for Scala Analytics, you may be launched to Apache Spark, RDDs, DataFrames for large-scale information science, and superior Spark matters (e.g., Hive with Spark, Spark streaming). The third course is about Scala in information science, the place you’ll be taught primary statistics and information sorts, methods to put together information, engineer options, match a mannequin, construct a pipeline, and carry out grid search.

 

Conclusion

 

No shock that it’s simpler when you’ve gotten cash – you get entry to extra programs which are extra numerous. Yeah, it sucks not having cash! However this doesn’t imply you could say goodbye to your dream of touchdown an information engineer function.

It’s a lot more durable to seek out them, however there are nonetheless some good programs that may train you primary and extra superior information engineering. I discovered ten of them. Another free assets, equivalent to blogs or YouTube movies, may also help you attain the required stage of data.

If you happen to’re industrious sufficient, devoted, and chronic, I’m certain you’ll be able to land an information engineering function at no cost.

 

Nate Rosidi is an information scientist and in product technique. He is additionally an adjunct professor educating analytics, and is the founding father of StrataScratch, a platform serving to information scientists put together for his or her interviews with actual interview questions from high firms. Nate writes on the most recent traits within the profession market, offers interview recommendation, shares information science initiatives, and covers every part SQL.



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