Data Science   

This course bundle will provide you with a foundation of practical knowledge on artificial intelligence (AI) and machine learning. You will begin with the science behind AI computer systems, which can perform tasks that typically require human intelligence, and AI ethics, applications, and more. Then you will move on to a more thorough look at machine learning, the problem it is trying to solve, and specific techniques and applications used in supervised, unsupervised, and semi-supervised learning.

Learn how blockchain is used for secure, real-time transactions through mining, minting, and the algorithms that determine consensus.

This course provides a foundation in the underlying methodology of blockchain, including the roles of participants of mining, minting, and the algorithms that determine consensus.

Gain a foundational knowledge of the science behind creating computer systems that can perform tasks typically requiring human intelligence in this introductory artificial intelligence (AI) course.

By mastering Oracle, Java, and Python, you will gain a diverse skill set that is highly sought after in the job market. These technologies complement each other: Oracle enables effective data management, Java powers robust application development, and Python excels in data analysis and automation. Together, they prepare you for a wide range of careers in technology, from database administration and software engineering to data science and beyond. Having expertise in all three technologies not only helps increase your employability but also enhances versatility in tackling complex, interdisciplinary challenges.

Oracle is a leading database technology used by businesses worldwide to manage and analyze vast amounts of data. In the Oracle training module, you will learn the skills needed to efficiently query and manipulate data using Structured Query Language (SQL) and to create advanced database solutions with PL/SQL. These skills are essential for careers in database administration, business intelligence, and data-driven decision-making.

Java is a versatile and widely used programming language, known for its platform independence and strong performance. The Java course module equips students with the knowledge to build robust, object-oriented applications and prepares them for Java certification. These skills are invaluable for roles in software development, from enterprise-level solutions to mobile and web applications.

Python is a powerful, easy-to-learn language widely used in web development, data analysis, and machine learning. In the Python course module, you will master Python fundamentals and progress to advanced techniques, including data manipulation and visualization using tools like JupyterLab. These capabilities are critical for careers in data science, analytics, and artificial intelligence.

Your training concludes with you learning advanced concepts such as artificial intelligence (AI)-assisted coding with a focus on Java, Python, and Oracle, which enables developers to enhance productivity and efficiency using tools like ChatGPT and other AI resources. By the end of the course, you will apply your knowledge in a final project and be prepared to sit for the Oracle Certified Professional: Java SE 17 Developer (1Z0-829) exam and Java SE 21 Developer 1Z0-830 exam.

Learn to leverage your Python experience for data science or data analytics during this in-demand course. Students will obtain best practices and advanced fundamental knowledge for using Jupyter Notebook, NumPy, pandas, and more.

This course introduces students to and provides a basic foundation in UI/UX design, including competitive research, designing effective user experience, applying design aesthetics, testing for accessibility, creating professional prototypes, and summary reports and design proposals.