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Scala with Silicon Valley Engineers

The Scala course provides essential skills and knowledge for professionals working in the fields of big data and data science, offering an excellent opportunity to learn efficient data processing and analysis methods through Scala's powerful programming language capabilities. Scala is widely used in big data processing tools like Apache Spark, and through this course, participants will be able to acquire advanced skills required in the big data ecosystem, thereby enhancing their competitiveness. For developers and data scientists who want to build a successful career in a data-centric world, this course will be a crucial learning opportunity not to be missed.

(4.6) 수강평 10개

강의소개.상단개요.수강생.short

난이도 초급

수강기한 무제한

scala-3
scala-3
scala
scala
scala-3
scala-3
scala
scala

먼저 경험한 수강생들의 후기

먼저 경험한 수강생들의 후기

4.6

5.0

맥모닝프로

63% 수강 후 작성

Fast and concise, great for getting started with Scala!

5.0

eodilda

100% 수강 후 작성

I work as a backend engineer. In the field, I've noticed that Java and Python are used as big data languages. I've rarely seen anyone using Scala in the field. I started with an interest in Spark and ended up taking a Scala course. This Scala introduction course seems very light and good for beginners. I look forward to more great lectures in the future.

5.0

용용용!!

10% 수강 후 작성

I needed to process Scala data for work-related reasons. This was very helpful. Please continue to provide good lectures on data engineering.

강의상세_배울수있는것_타이틀

  • Scala

  • Scala language

  • Functional programming

  • Functional Programming

Scala: The Essential Language for Data Professionals, Get Started Today!

The Scala language simplifies complex data processing tasks and enables efficient data analysis in distributed computing environments. This is the first step to acquiring deep analysis skills for data-driven decision making and to become competitive at the forefront of big data technology. Through this course, master the core skills for the success of big data projects and prepare for a data-centric future.

#Scala, #Functional Programming #Data Science, #Big Data Expert, #Data Analysis Strengthening, #scala-3


If you are this type of person
Start right now
🙋‍♂

Functional programming
Anyone who wants to study

As a big data expert
For those who want to get started

See data analysis
For those who want to do it effectively

Why should I learn Scala?

  1. Versatility and extensibility : Scala is a modern programming language that combines the strengths of object-oriented programming and functional programming. This allows developers to write more powerful and flexible code, which makes it easier to develop and maintain complex systems.

  2. An excellent choice for big data processing : Scala is widely used in big data processing platforms such as Apache Spark, which excels in data analysis and processing tasks. Scala gives you the ability to efficiently process and analyze large data sets.

  3. Strong ecosystem and community support : Scala is supported by a vibrant community with powerful development tools, libraries, and frameworks that help developers get started quickly and solve a variety of problems effectively.

  4. Performance and Efficiency : Scala runs on the Java Virtual Machine (JVM), allowing you to write code that is much more concise and expressive than Java while maintaining high performance. This reduces development time and increases project efficiency.

  5. Part of the future technology stack : Scala plays a key role in big data, web application development, and complex system design. By learning Scala, developers acquire a language that plays a key role in the future technology stack, which is a key competitive edge in their careers.

Lecture Features

Easy without difficult concepts!
Designed to provide a solid foundation for the Scala programming language.

The key contents are systematic!
Starting from basic grammar, it systematically covers the core concepts of object-oriented programming and functional programming.

Learning with Q&A! If you have any questions or difficulties during the lecture, you can ask questions at any time.

What you'll learn 📚

  • All lecture materials are in English . The lectures themselves are conducted in Korean and are designed to facilitate future overseas employment .

  • We provide PDF lecture materials (refer to each video learning material) and Github code.

Introduction to Scala

A solid foundation with thorough grammar

The difficult parts are explained using images.

Expected Questions Q&A 💬

Q. Why should I learn Scala?

The main reason to learn Scala is that it plays a crucial role in big data processing and distributed system development , and is widely used in popular frameworks such as Apache Spark . Scala combines the advantages of object-oriented and functional programming, allowing developers to write more efficient and maintainable code. In addition, its powerful type system and rich library ecosystem can improve developer productivity and project stability.

Q. Is this a lecture that non-majors can also take?

Yes, even non-majors can learn Scala. Scala is an intuitive and expressive programming language designed to integrate object-oriented and functional programming concepts. This makes it possible for non-majors to learn the basic concepts of Scala and acquire the knowledge necessary to apply them to real projects, as long as they have a basic understanding of programming. It is recommended to have an understanding of the basic principles and concepts of programming before starting, and you can gradually improve your skills through online lectures, tutorials, and support from the community. By overcoming challenges that may arise while learning Scala, non-majors can develop useful skills in programming and big data.

It's good to listen together 🧑🏻‍🏫

Gradle

Gradle with Silicon Valley Engineers

Gradle Masterclass for Efficient Build Management – Learn how to automate complex builds and increase project productivity. This course covers the core concepts and practical application of Gradle in detail. You will be able to build a professional-level build environment in no time.

Learn Python Apache Spark from Silicon Valley Engineers

Learn how to process big data from a Silicon Valley software engineer & learn how to develop big data code with Apache Spark using Python

Things to note before taking the class 📢

Player knowledge and precautions

  • You need to understand the basic concepts and principles of programming . You should be familiar with basic programming elements such as variables, control structures, and functions.


  • If you have any questions during the class, please feel free to leave them. However, since I am located in the western United States, it may take some time for me to respond.

강의소개.콘텐츠.추천문구

학습 대상은 누구일까요?

  • Those who want to learn Scala

  • Wanting to use Apache Spark with Scala

  • Those who want to learn functional programming

선수 지식, 필요할까요?

  • Programming language

강의소개.지공자소개

20,802

수강생

1,047

수강평

337

답변

4.8

강의 평점

29

강의_other

Are you going to finish in Korea? Penetrate the global market with English! 🌍🚀

Hello. I majored in Computer Science (EECS) at UC Berkeley 💻, have worked as a software engineer in Silicon Valley for over 15 years, and am currently a Staff Software Engineer working with Big Data and DevOps at a Big Tech headquarters in Silicon Valley.

  • 🧭 I would now like to share the technologies and know-how I learned firsthand at the forefront of innovation in Silicon Valley with all of you through online lectures.

  • 🚀 Join me, having learned and grown at the forefront of technological innovation, and develop the skills to compete on the global stage!

  • 🫡 I may not be the smartest, but I want to emphasize that you can achieve anything if you stay consistent and never give up. I will always be by your side, supporting you with great resources.

 

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10개

4.6

10개의 수강평

  • jangbyeonghui님의 프로필 이미지
    jangbyeonghui

    수강평 8

    평균 평점 4.9

    5

    63% 수강 후 작성

    Fast and concise, great for getting started with Scala!

    • altoformula
      지식공유자

      Hello Mr./Ms. Jang Byeong-hee, Thank you so much for taking the time to give such a good review.

  • bok0617님의 프로필 이미지
    bok0617

    수강평 10

    평균 평점 4.5

    5

    10% 수강 후 작성

    I needed to process Scala data for work-related reasons. This was very helpful. Please continue to provide good lectures on data engineering.

    • altoformula
      지식공유자

      Hi Yongyongyong!! Thank you for taking the time to leave a nice review. Yes, I will try to supplement the Scala course.

  • abcd123123님의 프로필 이미지
    abcd123123

    수강평 328

    평균 평점 5.0

    5

    100% 수강 후 작성

    • altoformula
      지식공유자

      Hello ADK123, Thank you for taking the time to leave such a wonderful review after taking the course.

  • hyunah7777900118님의 프로필 이미지
    hyunah7777900118

    수강평 4

    평균 평점 5.0

    5

    31% 수강 후 작성

    It was nice to learn about functions I didn't know about while developing Scala. When I was developing alone, I felt lost because I didn't have the basics, but I want to apply it to the code I wrote before. Thank you!!

    • altoformula
      지식공유자

      Hello, Ulululalarang, Thank you for taking the time to leave a nice review. I'm glad it was helpful.

  • eodilda님의 프로필 이미지
    eodilda

    수강평 22

    평균 평점 4.5

    5

    100% 수강 후 작성

    I work as a backend engineer. In the field, I've noticed that Java and Python are used as big data languages. I've rarely seen anyone using Scala in the field. I started with an interest in Spark and ended up taking a Scala course. This Scala introduction course seems very light and good for beginners. I look forward to more great lectures in the future.

    • altoformula
      지식공유자

      Hello homehome, Thank you so much for leaving such a great review! 😊 I'm especially glad to hear that your interest in Spark has extended to Scala. As you mentioned, the course is designed to be an easy introduction, so I'm thrilled it was helpful. Scala isn't yet widely used in Korea, but it can be a powerful tool for Spark and data processing! I will continue to prepare great lectures that can be applied to real-world practice. Please look forward to my next lecture as well. 🙏

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