Apache Spark will make you an expert in various type application of big data considering the details of speed using real-time use cases on Retail, Social Media, Aviation, Tourism, Finance domain. You will get UNP Apache Spark with Python certification at the end of the course.
- Hadoop is currently getting replaced by the new Spark Tech Stack and within few years from now the computational speed of Spark will leave Hadoop way behind .
- Average Salary of a Apache Spark novice is currently ₹12L (payscale.com salary data) and will increase compared to Hadoop Professionals
- The boom in the market of Apache Spark with its faster computational speed is expected to reach $125.36B by 2022 at a CAGR of 45.1% -Forbes
- 1000 + satisfied learners.
We are starting our Spark with Python training from August 2017(Details will be uploaded soon). In the mean time to give you the basic essence of both Machine Learning and also our Training approach, we welcome you to watch our demo Session.
We are offering you to upgrade the knowledge base of your organization resources.
Train your employees with exclusive batches and offers and track your employee’s progress with our weekly progress report.
30hrs of Online Live Instructor-led Classes. Weekend class:10 sessions of 3 hours each.
Real-life Case Studies
Live project based on any of the selected use cases, involving your selected Technology Stack.
Each class will be followed by practical assignments which can be completed before the next class.
You get lifetime access to the Learning Management System (LMS). Class recordings and presentations can be viewed online from the LMS
Each student at UNP is tagged with a Mentor who hand holds him/her through the entire journey . All mentors at UNP have an industry experience of 10 + years
Our specialized mentor ship program will make sure your skill get valued at proper Industry level .
Towards the end of the course, you will be working on a project. UNP certifies you as an Expert on your chosen domain based on the project.
We have a community forum for all our customers wherein you can enrich their learning through peer interaction and knowledge sharing.