FreeCourse Logo
FreeCourse.io
Verified CouponsFree CoursesJobsBlog
Categories
Home/Courses/Linux for Data Engineers (Hands On)
Linux for Data Engineers (Hands On)
IT & Software100% OFF

Linux for Data Engineers (Hands On)

Udemy Instructor
4(10.1K students)
Self-paced
All Levels

About this course

In this Linux for Data Engineer course, I will introduce you to the Linux world. In 1. 5+ hours, we will go through every step of Linux essentials that will provide you a wide knowledge for becoming a Data Engineering.

This is going to be a fully hands-on experience, so roll up your sleeves and prepare to give it your best! Data Engineering is one of the fastest-growing job roles and this should be no surprise. Data Science is in high demand and businesses have quickly found that having engineers to aid the scientists provides faster results.

Linux is a family of open-source Unix-like operating systems based on the Linux kernel, an operating system kernel first released on September 17, 1991, by Linus Torvalds. Linux is typically packaged in a Linux distribution. Distributions include the Linux kernel and supporting system software and libraries, many of which are provided by the GNU Project.

Many Linux distributions use the word "Linux" in their name, but the Free Software Foundation uses the name "GNU/Linux" to emphasize the importance of GNU software, causing some controversy. Linux has grown to become a major force in computing - powering everything from the New York Stock Exchange to mobile phones, supercomputers, and consumer devices. Popular Linux distributions include Debian, Fedora, and Ubuntu.

Commercial distributions include Red Hat Enterprise Linux and SUSE Linux Enterprise Server. Desktop Linux distributions include a windowing system such as X11 or Wayland and a desktop environment such as GNOME or KDE Plasma. Distributions intended for servers may omit graphics altogether or include a solution stack such as LAMP.

Because Linux is freely redistributable, anyone may create a distribution for any purpose.

Skills you'll gain

Operating Systems & ServersEnglish

Available Coupons

Loading...

Course Information

Level: All Levels

Suitable for learners at this level

Duration: Self-paced

Total course content

Instructor: Udemy Instructor

Expert course creator

This course includes:

  • πŸ“ΉVideo lectures
  • πŸ“„Downloadable resources
  • πŸ“±Mobile & desktop access
  • πŸŽ“Certificate of completion
  • ♾️Lifetime access
$0$84.99

Save $84.99 today!

Enroll Now - Free

Redirects to Udemy β€’ Limited free enrollments

Share this course

https://freecourse.io/courses/linux-for-data-engineers-hands-on

You May Also Like

Explore more courses similar to this one

SAP ABAP On HANA
IT & Software
0% OFF

SAP ABAP On HANA

Udemy Instructor

SAP ABAP on HANA Course Overview:This comprehensive course offers an in-depth exploration of SAP ABAP development on the HANA platform, equipping participants with the essential skills and knowledge required to thrive in modern SAP environments. From understanding the revolutionary SAP S/4HANA system to mastering advanced database techniques, this course covers a wide array of topics essential for SAP developers and consultants.Course Curriculum:Introduction to S/4HANA: Gain a foundational understanding of SAP S/4HANA, delving into its architecture, key features, and benefits compared to traditional SAP ERP systems.Row Store vs. Column Store Evolution: Explore the evolution of database storage techniques, from conventional row-based storage to the optimized columnar storage utilized in SAP HANA, understanding the advantages and implications for database performance.Eclipse and ADT Shortcuts: Learn time-saving shortcuts and best practices for efficient development using Eclipse IDE and ABAP Development Tools (ADT), essential for streamlining the development process.New ABAP Syntax: Familiarize yourself with the latest syntax enhancements and features introduced in ABAP programming language, enabling you to leverage the full potential of SAP HANA database capabilities.S/4HANA Readiness Check: Master the process of assessing the readiness of existing SAP systems for migration to S/4HANA, utilizing tools and techniques for system checks and compatibility analysis.SQLM and SWLT Tool: Utilize SQL Monitor (SQLM) and SAP Workload Analyzer (SWLT) tools to monitor and optimize SQL performance in SAP HANA database environments, ensuring optimal system performance.Information Modeling: Dive into the concepts and techniques of information modeling in SAP HANA, learning how to create robust data models and views to support reporting and analytics requirements.CDS Views and AMDP: Harness the power of Core Data Services (CDS) views and ABAP Managed Database Procedures (AMDP) for defining and implementing advanced data models and business logic directly in the database layer, maximizing performance and flexibility.SQL Script: Develop proficiency in writing SQL scripts for data manipulation and querying tasks directly within the SAP HANA database environment, enabling efficient data processing and analysis.ALV IDA: Learn to create interactive and dynamic reports using Advanced List Viewer (ALV) with Integrated Data Access (IDA), facilitating comprehensive data analysis and visualization within SAP ABAP applications.Who Should Attend:This course is ideal for SAP developers, consultants, and professionals seeking to enhance their skills in ABAP development on the HANA platform. Whether you're a seasoned ABAP developer looking to upgrade your skills or a newcomer to SAP development, this course provides valuable insights and practical knowledge essential for success in the ever-evolving SAP ecosystem.Prerequisites:Basic knowledge of SAP ABAP programming language and familiarity with SAP systems is recommended for participants to derive maximum benefit from this course.Outcome:Upon completion of this course, participants will have acquired a comprehensive understanding of SAP ABAP development on the HANA platform, enabling them to effectively leverage the latest technologies and techniques to drive innovation and efficiency in SAP projects.

0.0β€’3.9Kβ€’Self-paced
FREE$87.99
Enroll
Mastering Data Magic: Power BI Analytics
IT & Software
0% OFF

Mastering Data Magic: Power BI Analytics

Udemy Instructor

Data Analytics: Data analytics is the process of examining, cleaning, transforming, and interpreting data to extract meaningful insights, patterns, and trends. It helps organizations make informed decisions and improve their business performance by leveraging data.Why Data Analytics: Data analytics is crucial for businesses to make data-driven decisions. It enables organizations to:Identify trends and opportunities.Improve operational efficiency.Enhance customer experience.Make informed strategic decisions.Predict future outcomes.Types of Data Analytics: There are four main types of data analytics:Descriptive Analytics: Summarizes historical data to provide insights.Diagnostic Analytics: Analyzes data to understand why certain events occurred.Predictive Analytics: Uses historical data to predict future outcomes.Prescriptive Analytics: Recommends actions based on predictive analytics.Steps Involved in Data Analytics: The typical steps in data analytics include data collection, data cleaning, data exploration, data modeling, data visualization, and interpretation of results.Tools for Data Analytics: There are various tools for data analytics, including Power BI, Tableau, Excel, Python (with libraries like Pandas and Matplotlib), R, and more.Skills for Data Analytics: To excel in data analytics, you should have skills in data manipulation, statistical analysis, data visualization, domain knowledge, and problem-solving. Soft skills like communication and teamwork are also essential.Downloading and Installing Power BI Desktop: You can download Power BI Desktop from the official Microsoft website. After downloading, run the installer and follow the installation instructions.Understanding Interface, Options, and Settings: Power BI Desktop has a user-friendly interface with options and settings to customize your workspace, data sources, and report layouts.Data Source and Uploading Sample Data: You can connect Power BI to various data sources, such as databases, Excel files, and web services. You can also import sample data to practice.Understanding Data and Basic Data Types: In Power BI, you must understand your data's structure, data types (e.g., text, numbers, dates), and how to clean and transform it for analysis.Building Charts: Power BI allows you to create various visualizations, including bar charts, line charts, pie charts, and more, to represent your data effectively.Visual Interactions: You can set up interactions between visuals to create dynamic reports where selecting one visual influences others.Formatting: You can format visuals, fonts, colors, and backgrounds to make your reports visually appealing and easier to understand.Web Scraping: Power BI can extract data from websites using web scraping techniques, allowing you to incorporate external data sources.Data Modeling: You can create relationships between tables, define measures, and build a data model for accurate analysis and reporting.RDBMS Introduction: Relational Database Management Systems (RDBMS) like SQL Server, MySQL, and Oracle can be connected to Power BI to fetch data.Map Visualization: Power BI supports mapping visualizations to display data geospatially, making it useful for location-based analysis.Saving Power BI Files: You can save your Power BI reports as .pbix files, which can be shared and opened by others using Power BI Desktop.Scatter Plot and Other Features: Scatter plots are useful for visualizing the relationship between two numeric variables. Power BI also offers many other features like filtering, drill-through, and custom visuals.Conditional Formatting: You can apply conditional formatting to visuals to highlight specific data points based on predefined rules.Hiding Tables in Report View: You can hide tables or fields that you don't want to display in the report view to declutter your workspace.Grouping, Bar Charts, Column Charts, Ribbon Charts, Small Multiples: These are various visualization types that you can create in Power BI to represent your data in different ways, such as grouping data, using bar or column charts, ribbon charts, and displaying small multiples for comparative analysis.Power BI is a powerful tool for data analytics, and mastering these topics will help you create informative and visually appealing reports for data-driven decision-making.

4.3β€’14.3Kβ€’Self-paced
FREE$95.99
Enroll
Generative AI Practice Tests [2026]
IT & Software
0% OFF

Generative AI Practice Tests [2026]

Udemy Instructor

Are you preparing for a Generative AI interview, certification exam, company assessment, or looking to validate your GenAI knowledge in a structured way?Most learners spend hours watching videos and reading articles but never truly test their understanding. This industry-aligned Generative AI practice test carefully designed by Chandan Harthi, AI Product Leader and Founder & CEO of Neuralcog AI, which help you assess your knowledge, identify gaps, and build confidence before facing real-world interviews, certifications, and technical assessments.The questions are inspired by concepts commonly evaluated by leading technology companies like Google, Meta, Microsoft, Amazon, Apple, Netflix, Nvidia, Tesla, SpaceX, Open AI, Anthropic, IBM, Oracle and other enterprise AI teams, cloud providers, and professional certification programs. Each question includes detailed explanations to help you understand not only the correct answer but also why the other options are incorrect.Topics Covered:Generative AI FundamentalsLLMs, Tokens & EmbeddingsTransformers & Attention MechanismsVector Databases & Semantic SearchRetrieval-Augmented Generation (RAG)Fine-Tuning ConceptsModel Evaluation & Performance MetricsMultimodal AIResponsible AI & GovernanceEnterprise GenAI Use CasesThis practice test is ideal for students, professionals, product managers, developers, architects, consultants, and certification aspirants looking to strengthen their Generative AI knowledge.New to Generative AI? Start with Neuralcog AI's Generative AI for Absolute Beginners [2026] course to build a strong foundation along with these assessments.Test your knowledge, uncover gaps, and gain the confidence needed to succeed in the rapidly growing world of Generative AI.

0.0β€’521β€’Self-paced
FREE$84.99
Enroll
FreeCourse LogoFreeCourse

Freecourse.io brings you high-quality online courses with free certificates to help you upskill, boost your career, and achieve your goals anytime, anywhere.

Resources

  • Courses
  • Jobs
  • Categories
  • Features

Company

  • About
  • Blog
  • Contact

Legal

  • Privacy
  • Terms
  • Cookies
  • Licenses

Β© 2026 FreeCourse. All rights reserved.