Home AI Courses OOP in Java Specialization

OOP in Java Specialization

(0 reviews)

The Specialization emphasizes the development of practical applications, such as encryption, geospatial maps, CSV data analysis, and text data management, through the use of object-oriented design and advanced Java programming. This includes the ability to handle large datasets and create GUI programming.

Key AI Functions:Software Engineering,Data Structure,Computer Programming,Data Analysis,Algorithms,Problem Solving,Hash Table,Debugging,Software Design,Java Programming,Object-Oriented Programming (OOP)

Description

Reviews

Alternative Tools

Description for OOP in Java Specialization

This specialization is designed for software developers who have prior programming experience in Python, C, or JavaScript, and it is focused on advanced object-oriented design in Java.

Practical experience with Java in the BlueJ and Eclipse environments, with a focus on graphical user interface programming.

The development of practical skills involves the creation of programs that are capable of analyzing and managing large datasets.

Demonstrating proficiency in object-oriented design and Java, the following four Java applications were developed: encryption, geospatial mapping, CSV data analysis, and text data manipulation. This approach to applied learning was implemented.

Level: Beginner

Certification Degree: Yes

Languages the Course is Available: 22

Offered by: On Coursera provided by University of California San Diego & Duke University

Duration: 6 months at 10 hours a week

Schedule: Flexible

Reviews for OOP in Java Specialization

0 / 5

from 0 reviews

Ease of Use

Ease of Customization

Intuitive Interface

Value for Money

Support Team Responsiveness

Featured Tools

Gen AI GPT Vision

Google AI: Accessible to Anyone

Applied Data Science Specialization

Gen AI in Data Privacy & Protection

Software Development: Python Code Generation

Alternative Tools for OOP in Java Specialization

Featured Tools

Gen AI GPT Vision

Explore the use of generative AI tools to enhance data preparation, querying, and machine learning model development in data science workflows through hands-on projects.

#Prompt Engineering #Generative AI

Google AI: Accessible to Anyone

The course gives an extensive understanding of AI, which encompasses its ethical implications, neural networks, data significance, and applications.

#artificial intelligence #basic math

Applied Data Science Specialization

Learn Python, analyze and visualize data, and apply your skills to data science and machine learning with a practical assignment to acquire hands-on skills for a career in data science.

#Model Selection #Data Analysis

Gen AI in Data Privacy & Protection

Generative AI for Data Privacy & Protection' course delves into the intersection of Generative AI and data privacy strategies, targeting professionals to gain insights, investigate methodologies, and comprehend AI's impact on data privacy, with accessibility for diverse audiences regardless of prior knowledge.

#Security Awareness #Information Technology