Vision
Sharing knowledge makes your learning deeper. But it’s a great responsibility to pass on correct/validate/accurate information. As an engineer, I have always believed in Application rather than Academy.
What is the market scope and requirement :
Big Data has changed the face of the world!
With 2,3 trillion gigabytes of data created each day, companies have access to a broad range of information on their users, market and much more.
This Data allows them to constantly improve their product/service.
Companies have understood the opportunity that Big Data represents. The soar of Data Engineer and Data Scientist jobs show it to us.
In 2011, Harvard Business Review has elected Data Scientist the sexiest job of the 21st century to underline the success of the profession!
However, this job field being not being fully mature yet, Data jobs are still subject to misunderstandings.
Data Engineer :
- Design the big data infrastructure and prepare it to be analyzed
- Build complex queries to create “pipelines”
- Arrange any problems in the programmed system
Data Scientist :
- Work on clean data
- Find solutions with the data available
- Communicate analyzes with the team
- Work onto solution problem and get some
According to Glassdoor, the average base salaries in US (updated Sep 26, 2018) are :
- For a Data Scientist: $139K / year on average – Data Scientist is a dream work on the paper.
- For a Data Engineer: $151 / year on average – Data Engineers have become a rare commodity.
“The number of job openings for data engineers is almost five times higher than the number of job openings for data scientists. This makes sense as most organizations need more data engineers than data scientists on their team” according to Glassdoor.
What is the scope of our Courses :
- Big Data – Concept, Clarity, Classification
- Data Engineering – ETL, ELT, Ecosystem
- Data Operations – DevOps, MLOps
- Data Science – AI, ML, Ecosystem
- Data Governance – Structuring, Profiling, Cleansing, Enriching and Defining Single Source of Truth
- Cloud Computing – AWS, Azure
Why be part of Realtimetuts:
- Experiential learning
- Campus to Corporate
- Know how’s of Live project experience shared by industry players from top consulting firm
- Courses are focused on
- WHY learn?
- WHAT is it?
- WHEN should you use it?
- HOW can you implement and derive value out of it?
- WHERE will this fit in and burst forth in future
- Very limited trainings in market provide Live project implementation methodologies
- Courses are not time bound but scope bound