Learn Big Data Technologies Online: Free Course with AI Tutor & Certificate
You'll be able to process massive datasets using Hadoop and Spark after completing this 1-hour big data course. Across 24 video lessons, you will learn PySpark fundamentals and tackle real-world projects like retail analytics for Amazon. It's a fast, practical way to build core data engineering skills.
Big Data Technologies course syllabus
01 Introduction to Big Data Technologies
- Overview of Big Data
- Introduction to Hadoop Ecosystem
- Understanding Apache Spark
- Introduction to NoSQL Databases
02 Hadoop Ecosystem
- HDFS (Hadoop Distributed File System)
- MapReduce
- YARN (Yet Another Resource Negotiator)
- HBase
03 Apache Spark Basics
- Spark RDDs (Resilient Distributed Datasets)
- Spark Transformations and Actions
- Spark SQL
- Spark Streaming
04 PySpark Fundamentals
- Setting up PySpark environment
- DataFrames in PySpark
- Working with PySpark MLlib
- PySpark Structured Streaming
05 Real-World Applications of Big Data Technologies
- Big Data in E-commerce
- Big Data in Healthcare
- Big Data in Finance
- Big Data in Social Media
06 Data Processing with Big Data Technologies
- Data Ingestion
- Data Storage and Retrieval
- Data Processing and Analysis
- Data Visualization with Big Data Technologies
Real-world projects you'll work on
Practice the exact kind of work Big Data Technologies professionals do on the job.
Real-time Retail Analytics with Apache Kafka and Spark for Amazon
Predictive Healthcare Insights using Machine Learning and Big Data for Google Health
Secure and Scalable Financial Data Management with Hadoop and NoSQL for JPMorgan Chase
Interactive Manufacturing Data Visualization with Tableau for Tesla
Skills you'll gain
Add these to your LinkedIn profile and resume the day you finish.
Who should take this Big Data Technologies course?
And exactly what you need before starting (spoiler: almost nothing).
This course is for
- Software engineers looking to transition into data engineering roles
- Computer science students wanting practical experience with Hadoop and Spark
- Data analysts aiming to process larger datasets beyond traditional SQL limits
- IT professionals in India seeking to upgrade their backend architecture skills
Prerequisites
- No prior big data experience is required to start this course.
- Basic understanding of Python or general programming concepts is helpful for the PySpark module.
- Familiarity with general database concepts makes learning Hadoop much easier.
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 Big Data Technologies course: free, structured and job-focused
You'll build scalable data pipelines and analyze massive datasets by the end of this big data training. The curriculum starts with an Overview of Big Data before moving through 6 structured modules. You will master the Hadoop Ecosystem, learn Apache Spark Basics, and understand PySpark Fundamentals. We wrap up with Real-World Applications of Big Data Technologies and Data Processing with Big Data Technologies, giving you a complete picture of modern data architecture.
Practical experience is built into the big data syllabus. You'll complete four hands-on projects to prove your skills. These include building Real-time Retail Analytics with Apache Kafka and Spark for Amazon, and creating Predictive Healthcare Insights using Machine Learning and Big Data for Google Health. You will also design Secure and Scalable Financial Data Management with Hadoop and NoSQL for JPMorgan Chase, plus Interactive Manufacturing Data Visualization with Tableau for Tesla.
LearnTube changes how you learn big data online. We take the best curated YouTube video lessons and pair them with an interactive AI tutor. After every video, you'll take a quick quiz to test your knowledge. Learning is completely free, and you can add a paid certificate once you finish to show employers your new skills. Over 60,000 learners already use our platform to study at their own pace.
Jobs you can target after learning Big Data Technologies
Big Data Technologies is a gateway skill for some of the fastest-growing roles in tech.
Builds and maintains scalable data pipelines using tools like Spark and Hadoop.
Analyzes massive datasets to find trends and business insights for stakeholders.
Designs and codes big data applications specifically within the Hadoop ecosystem.
Typical entry-level salary ranges in India as of August 2026. Source: AmbitionBox. Actual compensation varies by city, company and experience.
Earn a Big Data Technologies 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 Big Data Technologies course.
Is this big data course really free?
Yes. All 24 video lessons and AI tutor quizzes are completely free to access. You only pay if you decide to purchase the optional big data certification at the end of your training.
What will I get with the paid certificate?
Purchasing the certificate gives you a verified, shareable digital credential. It proves you completed the big data syllabus and all four hands-on projects, making it a great addition to your resume or LinkedIn profile.
How is this different from watching plain YouTube videos?
LearnTube organizes the best YouTube content into a structured syllabus and adds an AI tutor. You'll get interactive quizzes after every video lesson, keeping you focused and ensuring you actually understand the big data concepts.
Do I need to install heavy software to start?
No. You can learn the concepts and watch the tutorials on any device. For the hands-on projects involving Spark and Hadoop, we recommend using free cloud-based environments so you don't overwhelm your local computer.
Can beginners take these big data classes online?
Absolutely. The curriculum is designed for beginners. It starts with a basic Overview of Big Data before gradually introducing more complex topics like the Hadoop Ecosystem and PySpark Fundamentals over the 1-hour runtime.
Is this training self-paced?
Yes, the entire course is self-paced. You can watch the video lessons and complete the AI quizzes whenever you have free time, making it easy to fit into a busy work or study schedule.
What kind of projects will I build?
You will complete four practical assignments. These include real-time retail analytics for Amazon using Kafka, predictive healthcare insights for Google Health, and interactive manufacturing data visualization with Tableau for Tesla.
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