Go From Total Beginner to Data Engineer with Our New Course Path

This revamped path is designed to be more like our other course paths. You can start it even if you have no prior experience with coding, and it’ll take you from total beginner to experienced practitioner with all of the core skills needed to become a data engineer.

If you’ve checked out the path before, you’ll notice we’ve changed a lot. We’ve added some new courses. We’ve created and added custom data engineering versions of existing courses to this path. And we’ve optimized all of the courses for more effective learning and more accurate answer checking.

In short: the DE path is now ready to take you from scratch all the way to your goal.

Oh, and did we mention that you can try a lot of the course content for free?

What’s New in the Data Engineering Path?

The new path starts out with three Python courses that are designed to take you from having no background in programming to being proficient with the fundamentals of Python. These courses are based on our highly popular Python data science courses, but we’ve adapted them to focus more precisely on the skills data engineers need.

From there, the path digs into SQL skills, with two SQL courses aimed at getting you up and running. Although it’s not as “sexy” as other tech skills, SQL is a critical skill in any data role, and it’s particular important for data engineers, who’ll be interacting with SQL databases regularly.

With the basics covered, the path then heads into more advanced, data-engineering-specific skills. There are several courses on Postgres, and a course on optimizing code performance for big data. There are also courses on optimizing pandas, recursion and trees, algorithms and data structures, and building data pipelines.

For more details on specifically what’s covered, check out the path page and course listings. Just as we’ve done with the revamped R path we launched last year, we’ll also be expanding this path with new courses as time goes on to make it even more exhaustive.

Additionally, everything in this path has been optimized and reworked to improve the student experience. We’ve added new content, but we’ve also vastly improved older content to bring the DE path up the to standard of our other learning paths.

Become a Data Engineer

Data Scientist may be “the sexiest job of the 21st century,” but engineers are critical members of effective data science teams. And although there’s less hype behind the role, data engineers actually earn higher salaries than data scientists on average, according to October 2019 data from Indeed.

Ready to take the first step in becoming a data engineer? Check out our newly relaunched DE path today!

#dataquest updates #data engineering #de path #launches #data analysis

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Go From Total Beginner to Data Engineer with Our New Course Path

5 Best Data Engineering Courses & Certifications Online [2021]

Data Engineering is among the fastest-growing sectors in the past few years. Thanks to the large amounts of data we generate every day and the usefulness of this data, the demand for Data Engineering professionals has risen exponentially. The best way to enter this highly in-demand sector is by taking the required course.

To help you in your pursuit, we have assorted the following list of the best data engineering courses you should look out for in 2021!

Best Data Engineering Courses Online

The best way to learn advanced skills like data engineering is through taking courses. Courses can help you understand the fundamental concepts as well as the advanced ones without hassle. They provide you with a structured curriculum that you can study at your own pace, facilitating your learning experience.

The following are the top data engineering courses online. You can pick any one of the following according to your interests and requirements:

1. PG Diploma in Data Science

In partnership with IIITB, our PG Diploma in Data Science program is an excellent way to enter the data engineering sector. It’s the first NASSCOM certified program, which ensures that you stand out from the crowd.

This course lets you choose from five unique specializations:

You can pick the Data Engineering specialization to customize your learning curriculum accordingly. This course teaches you some of the most in-demand skills including Predictive Analysis using Python, Natural Language Processing, Machine LearningBig Data, and Data Visualization.

With the Data Engineering specialization, you’ll get to learn about Time Series Analysis, Advanced Regression, Gesture Recognition, Neural Networks Assignment, and many more topics. This course covers various data science tools such as Excel, Python, and TensorFlow to give you the required professional skills.

Apart from the custom curriculum, you get to try out skills on multiple industry projects with this course. The different projects help you explore your strengths and weaknesses so you can revise and measure your progress. Another great highlight of this course is that it only lasts for 12 months. This means you’ll be an industry-ready professional within a year after getting your degree.

#data science #data engineering course #data engineering course online #data engineering courses

Siphiwe  Nair

Siphiwe Nair

1620466520

Your Data Architecture: Simple Best Practices for Your Data Strategy

If you accumulate data on which you base your decision-making as an organization, you should probably think about your data architecture and possible best practices.

If you accumulate data on which you base your decision-making as an organization, you most probably need to think about your data architecture and consider possible best practices. Gaining a competitive edge, remaining customer-centric to the greatest extent possible, and streamlining processes to get on-the-button outcomes can all be traced back to an organization’s capacity to build a future-ready data architecture.

In what follows, we offer a short overview of the overarching capabilities of data architecture. These include user-centricity, elasticity, robustness, and the capacity to ensure the seamless flow of data at all times. Added to these are automation enablement, plus security and data governance considerations. These points from our checklist for what we perceive to be an anticipatory analytics ecosystem.

#big data #data science #big data analytics #data analysis #data architecture #data transformation #data platform #data strategy #cloud data platform #data acquisition

Gerhard  Brink

Gerhard Brink

1621413060

Top 5 Exciting Data Engineering Projects & Ideas For Beginners [2021]

Data engineering is among the core branches of big data. If you’re studying to become a data engineer and want some projects to showcase your skills (or gain knowledge), you’ve come to the right place. In this article, we’ll discuss data engineering project ideas you can work on and several data engineering projects, and you should be aware of it.

You should note that you should be familiar with some topics and technologies before you work on these projects. Companies are always on the lookout for skilled data engineers who can develop innovative data engineering projects. So, if you are a beginner, the best thing you can do is work on some real-time data engineering projects.

We, here at upGrad, believe in a practical approach as theoretical knowledge alone won’t be of help in a real-time work environment. In this article, we will be exploring some interesting data engineering projects which beginners can work on to put their data engineering knowledge to test. In this article, you will find top data engineering projects for beginners to get hands-on experience.

Amid the cut-throat competition, aspiring Developers must have hands-on experience with real-world data engineering projects. In fact, this is one of the primary recruitment criteria for most employers today. As you start working on data engineering projects, you will not only be able to test your strengths and weaknesses, but you will also gain exposure that can be immensely helpful to boost your career.

That’s because you’ll need to complete the projects correctly. Here are the most important ones:

  • Python and its use in big data
  • Extract Transform Load (ETL) solutions
  • Hadoop and related big data technologies
  • Concept of data pipelines
  • Apache Airflow

#big data #big data projects #data engineer #data engineer project #data engineering projects #data projects

Go From Total Beginner to Data Engineer with Our New Course Path

This revamped path is designed to be more like our other course paths. You can start it even if you have no prior experience with coding, and it’ll take you from total beginner to experienced practitioner with all of the core skills needed to become a data engineer.

If you’ve checked out the path before, you’ll notice we’ve changed a lot. We’ve added some new courses. We’ve created and added custom data engineering versions of existing courses to this path. And we’ve optimized all of the courses for more effective learning and more accurate answer checking.

In short: the DE path is now ready to take you from scratch all the way to your goal.

Oh, and did we mention that you can try a lot of the course content for free?

What’s New in the Data Engineering Path?

The new path starts out with three Python courses that are designed to take you from having no background in programming to being proficient with the fundamentals of Python. These courses are based on our highly popular Python data science courses, but we’ve adapted them to focus more precisely on the skills data engineers need.

From there, the path digs into SQL skills, with two SQL courses aimed at getting you up and running. Although it’s not as “sexy” as other tech skills, SQL is a critical skill in any data role, and it’s particular important for data engineers, who’ll be interacting with SQL databases regularly.

With the basics covered, the path then heads into more advanced, data-engineering-specific skills. There are several courses on Postgres, and a course on optimizing code performance for big data. There are also courses on optimizing pandas, recursion and trees, algorithms and data structures, and building data pipelines.

For more details on specifically what’s covered, check out the path page and course listings. Just as we’ve done with the revamped R path we launched last year, we’ll also be expanding this path with new courses as time goes on to make it even more exhaustive.

Additionally, everything in this path has been optimized and reworked to improve the student experience. We’ve added new content, but we’ve also vastly improved older content to bring the DE path up the to standard of our other learning paths.

Become a Data Engineer

Data Scientist may be “the sexiest job of the 21st century,” but engineers are critical members of effective data science teams. And although there’s less hype behind the role, data engineers actually earn higher salaries than data scientists on average, according to October 2019 data from Indeed.

Ready to take the first step in becoming a data engineer? Check out our newly relaunched DE path today!

#dataquest updates #data engineering #de path #launches #data analysis

Siphiwe  Nair

Siphiwe Nair

1624072920

10 Must-have Skills for Data Engineering Jobs

Big data skills are crucial to land up data engineering job roles. From designing, creating, building, and maintaining data pipelines to collating raw data from various sources and ensuring performance optimization, data engineering professionals carry a plethora of tasks. They are expected to know about big data frameworks, databases, building data infrastructure, containers, and more. It is also important that they have hands-on exposure to tools such as Scala, Hadoop, HPCC, Storm, Cloudera, Rapidminer, SPSS, SAS, Excel, R, Python, Docker, Kubernetes, MapReduce, Pig, and to name a few.

Here, we list some of the important skills that one should possess to build a successful career in big data.

1. Database Tools
2. Data Transformation Tools
3. Data Ingestion Tools
4. Data Mining Tools

#big data #latest news #data engineering jobs #skills for data engineering jobs #10 must-have skills for data engineering jobs #data engineering