Learn Data science and java, testing Online: Free Course with AI Tutor & Certificate
Combining analytics with backend development is tough. This free data science course online solves that over 22 hours of video lessons. You'll start with "What is Data Science?" and progress through 11 modules covering Java programming, software testing, and big data processing to build a complete project workflow.
Data science and java, testing course syllabus
01 Introduction to Data Science
- What is Data Science?
- The Data Science Process
- Key Roles in Data Science
- Tools and Technologies in Data Science
02 Basics of Java Programming
- Introduction to Java
- Java Syntax and Structure
- Variables and Data Types
- Control Flow Statements
- Functions and Methods
03 Data Manipulation and Analysis
- Introduction to Data Manipulation
- Data Cleaning Techniques
- Data Transformation
- Exploratory Data Analysis
- Introduction to Data Visualization
- Role of DataFrame in Data Manipulation and Analysis
- Difference between DataFrame and Traditional Database Table
04 Java for Data Science
- Java Libraries for Data Science
- Working with Data Structures in Java
- File Handling in Java
- Java and Databases
- Integrating Java with Data Science Tools
05 Introduction to Testing
- Importance of Testing in Software Development
- Types of Testing
- Testing Frameworks
- Writing Test Cases
06 Testing in Java
- Unit Testing with JUnit
- Mocking in Java
- Integration Testing
- Test-Driven Development (TDD)
- Best Practices in Java Testing
- Example Scenario for Unit Tests
- Example Scenario for Integration Tests
07 Data Science Algorithms
- Introduction to Machine Learning
- Supervised vs Unsupervised Learning
- Common Algorithms in Data Science
- Implementing Algorithms in Java
08 Data Science Project Workflow
- Problem Definition and Data Collection
- Data Preparation and Cleaning
- Model Building and Evaluation
- Deployment and Monitoring
09 Advanced Java Concepts
- Object-Oriented Programming in Java
- Exception Handling
- Multithreading in Java
- Java Collections Framework
- How JVM Works
10 Data Science Ethics and Best Practices
- Ethical Considerations in Data Science
- Data Privacy and Security
- Bias and Fairness in Data Science
- Best Practices for Data Scientists
11 Big Data Processing
- Functionality of 'Map' and 'Reduce'
- Importance of 'Map' and 'Reduce' in Big Data Processing
Skills you'll gain
Add these to your LinkedIn profile and resume the day you finish.
Who should take this Data science and java, testing course?
And exactly what you need before starting (spoiler: almost nothing).
This course is for
- Software developers wanting to add data science training to their backend skills.
- Data analysts looking to learn java for better application integration.
- Quality assurance engineers seeking a software testing course with analytical context.
- IT professionals in India aiming for a data science certification.
Prerequisites
- No prior experience is strictly required to begin this course.
- Basic familiarity with programming logic will help you progress faster.
- A computer with an internet connection to run basic code tests.
How learning works on LearnTube
The structure of a bootcamp, the price of free.
AI curates your path
Our AI picks the top 1% of video content for each topic and arranges it into a structured, goal-based curriculum. No more tutorial roulette.
Learn, then get quizzed
After every lesson, your AI tutor asks you a question and gives personalised feedback on your answer, so gaps get fixed immediately.
Finish with proof
Complete the course, build the capstone project, and claim a certificate recognised by 900+ hiring partners.
A complete Data science and java, testing course: free, structured and job-focused
Building scalable applications requires understanding both backend logic and analytical models. Many developers struggle to integrate analytics into their applications without breaking existing code. This free data science course teaches you how to combine these domains safely. You'll explore how to write efficient code while ensuring your algorithms function correctly under heavy loads.
Across 11 detailed modules and 51 video lessons, you'll learn the core concepts needed to succeed. The training begins with an Introduction to Data Science and Basics of Java Programming before moving into Data Manipulation and Analysis. As you progress, you'll study Java for Data Science and an Introduction to Testing. We cover Testing in Java to ensure your code is reliable, followed by Data Science Algorithms and Data Science Project Workflow. Finally, the curriculum wraps up with Advanced Java Concepts, Data Science Ethics and Best Practices, and Big Data Processing.
LearnTube makes mastering these subjects simple and interactive. You'll learn java and analytics through curated YouTube videos, followed by quick quizzes from an AI tutor after every lesson to test your knowledge. The platform is entirely free to learn, and you can opt for a paid certificate to verify your new skills. This setup lets you master both data science training and automation testing training at your own pace.
Jobs you can target after learning Data science and java, testing
Data science and java, testing is a gateway skill for some of the fastest-growing roles in tech.
Builds systems that collect and process large amounts of raw data.
Writes and tests backend application code for enterprise software.
Creates automated scripts to test software functionality and performance.
Interprets complex datasets to help companies make better business decisions.
Typical entry-level salary ranges in India as of September 2026. Actual compensation varies by city, company and experience.
Earn a Data science and java, testing certificate employers recognise
Finish the course and claim a certificate you can share anywhere.
- Learn 100% free: every lesson, quiz and the AI tutor cost nothing
- Claim your certificate when you complete the course (an optional paid add-on)
- Recognised by 900+ hiring partners across India
- One click to share on LinkedIn and add to your resume
Why learners choose LearnTube
Real reviews from Google. You learn free, you get assessed free, and you pay only if you want the certificate.
Though I have 11 years of experience as an HRBP, the course helped me refresh my knowledge and gave me insights into new trends in the market. The modules were clear and easy to understand, and the quizzes were well designed. I have added the certificate to my LinkedIn profile.
I had a lot of doubts while learning, but the AI chatbot answered them in detail with simple summaries. The videos on the platform saved me a lot of time as I didn't have to search YouTube and watch random content.
Just earned my certificate in HR Management from LearnTube.ai! The platform is user-friendly and the assessment was a great way to validate my knowledge. Feeling proud of this accomplishment!
I enrolled in a LearnTube personalized course to get into a Data Analytics role. It helped me learn SQL in depth and gave me hands-on experience with Power BI. I attached the LearnTube certificate to my CV, it added credibility to my profile, and I'm currently in the interview process.
The interface is user-friendly and intuitive, making it easy to navigate the course. I encountered no errors during my time using the platform, which was a refreshing change from other online learning platforms.
Just cleared the Business Analyst assessment and got certified! Loved how the course simplifies big concepts like data-driven decision making into short, practical lessons. The automated quizzes kept me on track the whole time. Perfect boost for my resume!
The certificate gave me a real edge during my B.Tech. By the time I graduated, I had skills that set me apart from my peers, and the certification opened up more job opportunities. It gave me the confidence to stand out during interviews.
I manage many software projects as a General Manager and was looking for a good certification program to stay competitive. After researching many programs, I chose LearnTube and it was much better than I expected. The material is well-organized and practical, and what I liked most is the lifetime access.
Frequently asked questions
Everything learners ask before starting this Data science and java, testing course.
Is this course self-paced and mobile-friendly?
Yes. You can watch the 51 video lessons on any mobile device or computer. The platform is entirely self-paced, meaning you can study whenever you have free time without worrying about strict deadlines.
How long does it take to finish the training?
The curriculum takes about 22 hours to complete. Most learners finish the 11 modules within a few weeks by dedicating just a few hours each weekend to watch videos and answer the AI tutor quizzes.
What will I be able to do after finishing?
You'll be able to analyze large datasets and write automated software tests. The modules cover everything from data manipulation to testing in Java, preparing you to handle a complete data science project workflow.
Are data science and Java skills still in demand?
Yes. Companies constantly need professionals who can process big data and build reliable backend systems. Completing a java programming course alongside analytics training makes you highly valuable to employers looking for versatile software developers.
Does this free data science course include a certificate?
The learning materials and AI quizzes are completely free. You can choose to upgrade and purchase an optional paid certificate once you finish all the modules to display on your resume.
Do I need to pay data science course fees to start?
No. You do not have to pay any upfront fees to access the video lessons or the AI tutor. The only cost is if you decide to buy the optional certificate at the end.
Learners also explore these free courses
Pair Data science and java, testing with a complementary skill to stand out even more.
Start learning Data science and java, testing today, for free
51 lessons, an AI tutor that never gets tired, and a certificate at the finish line. All you need is an hour a day.
Start Learning Free