Start Your Journey with Free Oracle Learning Paths to Boost Your Career in Java, SQL, Machine Learning, and DevOps
In today’s competitive job market, mastering in-demand technologies can set you apart and accelerate your career. Oracle offers a series of comprehensive, free learning paths that cover essential skills in Java programming, Structured Query Language (SQL), Machine Learning, and DevOps. These learning paths are designed for developers, designers, administrators, architects, support engineers, and other IT professionals seeking to enhance their expertise and earn valuable certifications. Let’s dive into the available courses that can kickstart your journey to becoming a proficient tech professional.
Learn Java Programming with Oracle Java Foundations
Java is a versatile and powerful programming language used in a wide range of applications, from mobile apps to large-scale enterprise systems. The Oracle Java Foundations Learning Path provides an excellent introduction to Java programming. This course covers everything from the basics to advanced concepts, making it perfect for beginners and those looking to brush up on their skills.
The curriculum includes:
– Overview of Java: Understand the fundamentals of Java and its applications.
– Text and Numbers in Java: Learn to manipulate text and numbers using Java’s powerful features.
– Arrays, Conditions, and Loops: Master control structures that help you build dynamic applications.
– Classes and Objects: Dive into object-oriented programming with Java, exploring classes, objects, inheritance, and interfaces.
– Exception Handling: Learn how to handle errors and exceptions gracefully in your programs.
– Java on Oracle Cloud Infrastructure (OCI): Explore Java’s integration with Oracle Cloud, preparing you for cloud-based application development.
Java Free Course and Free Badge to Place In Resume : Click Here
Master SQL with the Oracle SQL Explorer Learning Path
Structured Query Language (SQL) is the backbone of database management and is essential for anyone involved in developing, managing, or querying databases. The Oracle SQL Explorer Learning Path introduces you to the world of relational databases and teaches you how to write efficient SQL queries.
This path covers:
– Introduction to SQL: Get familiar with the basics of SQL and how it interacts with relational databases.
– RDBMS Concepts: Understand the core concepts behind relational database management systems.
– Writing SQL Statements: Learn to create, modify, and query databases with SQL.
– Using SQL Functions: Discover how to use SQL functions to manipulate data, calculate values, and manage datasets.
– Advanced SQL Techniques: Explore more complex SQL operations like joins, subqueries, and set operations.
Completing this learning path equips you with the SQL skills needed for roles in development, database administration, and data analysis.
SQL Free Course & Free Badge to Place In Resume : Click Here
Explore Free Machine Learning and Data Science Courses to Boost Your Career
In the rapidly evolving world of technology, having a strong foundation in machine learning and data science is essential for anyone looking to advance their career in tech. Python, a versatile and widely-used programming language, has become the go-to tool for machine learning and data science due to its simplicity and robust libraries. Whether you’re a beginner or looking to enhance your existing skills, these free courses offer an excellent starting point for mastering machine learning and data science with Python. Plus, you’ll get the added bonus of earning a certification that can make your resume stand out.
Machine Learning with Python: A Comprehensive Introduction
Machine learning is transforming industries and shaping the future, making it a crucial skill for tech professionals. The Machine Learning with Python course offers an in-depth introduction to the basics of machine learning using Python. This course is designed to be approachable, making it ideal for beginners. It covers both Supervised and Unsupervised Learning and explains the differences between Statistical Modeling and machine learning.
Course Syllabus
– Module 1: Supervised vs. Unsupervised Learning
Learn the differences between machine learning and statistical modeling, and explore the concepts of supervised and unsupervised learning. This module also covers the fundamentals of classification and clustering techniques.
– Module 2: Supervised Learning I
Delve into key algorithms like **K-Nearest Neighbors**, **Decision Trees**, and **Random Forests**. You’ll also explore the reliability of random forests and the advantages and disadvantages of decision trees.
– Module 3: Supervised Learning II
Focus on regression algorithms and model evaluation techniques. Understand the challenges of overfitting and underfitting, and learn how to evaluate different models effectively.
– Module 4: Unsupervised Learning
Discover various clustering methods, including **K-Means Clustering**, **Hierarchical Clustering**, and **Density-Based Clustering**. This module also covers the measurement of distances between clusters and algorithms for hierarchy clustering.
– Module 5: Dimensionality Reduction & Collaborative Filtering
Learn about feature extraction and selection techniques in dimensionality reduction, as well as the challenges of collaborative filtering.
By the end of this course, you’ll have a solid understanding of machine learning concepts and the ability to apply them to real-world problems. Plus, you can earn a free certificate that validates your new skills.
Apply Link For Machine Learning(Free Certificate) : Click Here
Data Science with Python: From Data Analysis to Data Visualization
Data science has become one of the most sought-after skills in today’s job market. Traditionally, data analysis was conducted using expensive and limited tools like Excel and Tableau. However, Python and its libraries, such as pandas, have revolutionized the field by offering open-source, powerful, and versatile alternatives.
The Data Science with Python course focuses on data analysis and visualization, two core components of data science. This course is perfect for aspiring data analysts, data scientists, or anyone interested in leveraging Python for data-driven insights.
Key Topics Covered
– Data Analysis with Python
Learn how to use Python and pandas to conduct data analysis. This course covers essential techniques for cleaning, organizing, and analyzing data to extract meaningful insights.
– Data Visualization
Master the art of data visualization to effectively communicate your findings. The course teaches you how to create interactive and informative visual representations of data that can help identify trends, patterns, and outliers.
– Python for Data Science
If you’re new to Python, this course offers a beginner-friendly introduction to the language, specifically tailored for data science. You’ll learn the basics of Python programming, including writing scripts and using libraries essential for data analysis.
Upon completing this course, you’ll be equipped with the skills to analyze data using Python and create compelling visualizations that tell a story. Like the machine learning course, this one also offers a free certificate upon completion, adding value to your professional profile.
Data Science Free Course & Certificate : Click Here.
Advance Your DevOps Skills with Oracle Cloud Infrastructure (OCI) DevOps Professional Certification
For IT professionals focusing on continuous integration and delivery, the Oracle OCI DevOps Professional Certification course offers comprehensive training in DevOps practices using Oracle Cloud Infrastructure. This learning path is perfect for developers, system administrators, and DevOps engineers who want to enhance their skills in managing and automating application deployment pipelines.
The curriculum includes:
– Building Microservices: Learn to develop containerized applications and deploy them using Kubernetes services.
– CI/CD Pipelines: Master the setup and management of continuous integration and continuous delivery pipelines.
– Infrastructure as Code: Discover how to provision and manage infrastructure using code and templates with Terraform and Resource Manager.
– DevSecOps Practices: Implement security practices in your DevOps workflow to ensure robust, secure applications.
Upon completion, you’ll be prepared to take the Oracle Cloud Infrastructure DevOps Professional certification, a credential that demonstrates your expertise in cloud-native DevOps practices.
Apply Link for DevOps : Click Here
Conclusion
Oracle’s free learning paths offer a unique opportunity to develop critical skills in Java, SQL, machine learning, and DevOps, all while earning certifications that can boost your career prospects. Whether you’re a beginner or an experienced professional, these courses provide the knowledge and hands-on experience needed to excel in today’s technology-driven world. Start your learning journey today and gain the skills that employers are looking for!
By completing these learning paths, you not only enhance your technical knowledge but also gain recognized credentials that can significantly improve your employability in the IT industry. So, take the first step toward mastering these in-demand skills and explore Oracle’s free courses now!