As humans, we are immersed in data in our every-day lives. As per IBM, the data doubles every two years on this planet. The value that data holds can only be understood when we can start to identify patterns and trends in the data. Normal computing principles do not work when data becomes huge.
There is massive growth in the big data space, and job opportunities are skyrocketing, making this the perfect time to launch your career in this space.
In this specialization, you will learn Hadoop and PySpark to drive better business decisions and solve real-world problems.
CloudxLab is a team of developers, engineers, and educators passionate about building innovative products to make learning fun, engaging, and for life. We are a highly motivated team who build fresh and lasting learning experiences for our users. Powered by our innovation processes, we provide a gamified environment where learning is fun and constructive. From creative design to intuitive apps we create a seamless learning experience for our users. We upskill engineers in deep tech - make them employable and future-ready.
We will do sentiment analysis of "Iron Man 3" movie using Hive and visualize the sentiment data using BI tools such as Tableau
We will see how to process the NYSE (New York Stock Exchange) data using Hive for various insights.
We will analyze MovieLens data using Hive
We will learn to generate movie recommendations using Spark MLlib
We will see how to churn the logs of NASA Kennedy Space Center WWW server using Spark to find out useful business and devops metrics
We will understand how to write end-to-end Spark application starting from writing code on your local machine to deploying to the cluster
Real-time analytics dashboard for an e-commerce company using Apache Spark, Kafka, Spark Streaming, Node.js, Socket.IO and Highcharts
“Joined the Hadoop class 5 weeks back and it has been a motivating experience. Last I coded was 20yrs back and but thanks to the instructor-led training - I am executing Pig Latin and Hive commands to solve data problems and look forward to soon be able to complete small projects all by myself. Sandeep has been a great instructor, very very patient, always ready to put in extra time to clarify doubts and work at your pace and schedule.”
“Big Data with Apache Spark: This is not just a series of videos with the one-way flow of information. Instead, it is a highly interactive course. The course is well structured, covering the concepts of Big Data in width and depth. I am currently half-way through the course and I am already working on translating the concepts learned in the class to real-world problems.”
“Thank you so much Sandeep for all your great sessions. It will help in our career a lot. Your session is very much explanatory and understandable. Kudos to you.Thanks for all your hard work and time. Definitely, we will recommend all our friends and colleagues to attend your different course.Thanks a ton”
“I have been using CloudxLab for a while now, and they are amazing! The best part about using CloudxLab is that you do not need to wait for someone to tell you whether what you did was right or not, it is done automatically on the go. The training materials are of top notch quality. If you get stuck, they have a huge community of trainers and learners to help you out with all your doubts. They have a course structure for everyone, whether you are new to programming or are a seasoned programmer, they have something to offer you. And they are affordable too! I would recommend CloudxLab all the time.”
“This course is suitable for everyone. Me being a product manager had not done hands-on coding since quite some time. Python was completely new to me. However, Sandeep Giri gave us a crash course to Python and then introduced us to Machine Learning. Also, the CloudxLab’s environment was very useful to just log in and start practising coding and playing with things learnt. A good mix of theory and practical exercises and specifically the sequence of starting straight away with a project and then going deeper was a very good way of teaching. I would recommend this course to all.”
“It has been a wonderful learning experience with CXL. This is one of the courses that will probably stay with me for a significant amount of time. The platform provides a unique opportunity to try hands-on simultaneously with the coursework in an almost real-life coding example. Besides, learning to use algebra, tech system and Git is a good refresher for anyone planning to start or stay in technology. The course covers the depth and breadth of ML topics. I specifically like the MNIST example and the depth to which it goes in explaining each and every line of code. Would definitely recommend the instructor-led course.”
“This is one of the best-designed course, very informative and well paced. The killer feature of machine/deep learning coursed from CloudxLab is the live session with access to labs for hands-on practices! With that, it becomes easy following any discourse, even if one misses the live sessions(Read that as me!). Sandeep(course instructor) has loads of patience and his way of explaining things are just remarkable. I might have better comments to add here, once I learn more! Great Jobs guys!”
Senior Software Developer at Decision Resources Group
You should complete 100% of the course along with all the given projects in order to be eligible for the certificate.
Kindly note that there is no deadline for CloudxLab courses.
No, this course is for everyone. The complimentary access to CloudxLab courses will help you in learning the required foundations to make the most out of this certificate course.
We understand that you might need course material for a longer duration to make most out of your subscription. You will get lifetime access to the course material so that you can refer to the course material anytime.
Yes! Please feel free to ask your questions on CloudxLab forum and our community and team of experts will answer your questions. We believe forum will add better perspectives, ideas, and solutions to your questions.
Absolutely! Please contact us here. You can also reach us anytime on our 24/7 support helpline by calling us on +918049202224