The DataMites® Data Engineer Course is formulated in a manner to run through all the needfuls of data engineering with Python, Statistics, Database essentials, Big Data, Data Wrangling, Numpy, Pandas, and other related topics. With the growing demand and usage of data per day, the call for skilled data engineers is also skyrocketing.
The Data Engineer Training Course is designed for two months of the real-time project along with the internship facility to provide practical experience and real-world expertise. There are no major prerequisites for the Data Engineer course as the course covers topics from square one.
A data engineer course covers a wide range of topics, including data modeling, ETL (Extract, Transform, Load) processes, data pipelines, and database management. These concepts are essential for understanding how to structure and transform data to meet the needs of various business requirements. Data engineers learn how to design and implement efficient data pipelines that extract data from multiple sources, transform it into a usable format, and load it into the appropriate data storage systems.
The content is accredited by the International Association of Business Analytics Association (IABAC®), NASSCOM Future Skills Certification from NASSCOM, and JAINx from Jain University.
Data Engineer Course Curriculum
- Data Engineering Introduction
- Python Programming Foundation
- Database (RDBMS) Foundation
- Statistics for Data Engineering
- Introduction to Big Data
- Big Data - Hadoop
- Data Manipulation - Python Numpy & Pandas
- Data Cleaning and Transformation
- Data Visualization
- AWS Data Services
- PySpark Introduction
- Database (RDBMS - SQL & PL/SQL)
DataMites offers live instructor-led training corresponding to in-person classroom learning in many time zones. The training can be done on weekends as well as weekdays.
- Classroom Training
- Online Live Virtual Training
- Self Learning
When it comes to data, data engineering is a crucial discipline, yet few individuals can effectively articulate what data engineers perform. Small and large organizations alike rely on data to run their operations. Data is used by businesses to respond to pertinent questions ranging from customer interest to product feasibility. Without a question, data is critical to growing your company and getting useful insights. As a result, data engineering is equally vital.
“Analysis of data will not by itself produce new ideas.”
- Edward De Bono
What Are the Perks of Attending Data Engineer Training?
- Data science is built on the foundation of data engineering.
- Data Engineering is a technically challenging topic of study.
- It's quite rewarding - data engineers aren't solely motivated by a desire to make data scientists' jobs easier. Data engineers, without a doubt, are having a growing impact on society.
- If you wish to work in the field of data science, you'll need this talent.
- A fulfilling career with an upper level of job security.
Because of the increased importance, duties, and technologies available, it can be difficult to describe the data engineer position today, and many firms have different expectations for their technical expertise.
A Data Engineer's job description is one of the most in-demand in the business. They are highly recognized by businesses in all areas and are compensated well for their contributions.
The DataMites® Data Engineering Course is an excellent data engineering resource. Develop the skills you'll need to enter into this rapidly growing area or brush up on what you already know about data warehousing and ETLs, data storage, and data consumption from a variety of sources.
The cost of a Data Engineer Training in the United States can range from 567.01 USD to 201.61 USD, depending on the course level and type of training you choose. In Europe, the cost of a Data Engineer Training course can range from 4187.38 Euro to 526.98 Euro. Depending on the course level and type of training you choose, the cost of Data Engineer training in India can range from INR 15,645 to 44,000 INR.
The phase learning process is followed where the phases are as follows:
Phase 1 = In this phase candidates are provided with the industry's best study materials including self-study materials and video classes to help get a ground on the domain.
Phase 2 = In this phase candidates will have Data Engineer Courses Online that will be imparted by expert trainers with domain knowledge and experience. The IABAC Data Engineer Certification will be issued to the candidates as well.
Phase 3 = The third phase comprises the practical part of the Projects, Internships, and Job ready Program.
Data Engineer Course Learning Benefits:
- Know what Data Engineering is and what it includes.
- Apprehend the Data Engineering Ecosystem and Lifecycle.
- Pick up on extracting data from a wide range of files and databases.
- Comprehend on how to use a variety of skills and tactics to clean, edit, and enrich your data.
- In relational and NoSQL databases, you'll learn how to work with a variety of file kinds.
- Discover how to develop dashboards and set up a data pipeline to track progress.
- Learn how to scale data pipelines in a production setting.
We have entered the 'data age,' when data skills are in great demand, thanks to the proliferation of new-generation IT enterprises throughout the world. Today's businesses recognize that the true value of data can only be realized with a solid data infrastructure and design, and they are willing to invest in it.
Almost every company is developing and investing in cutting-edge technological goods as a result of the renewed focus on customer experience. Data engineering has become even more appealing as a result of this. To meet the need, IT organizations are rushing for competent labor, and data engineering has risen in scale and visibility.
Kolkata is eastern India's key business, commercial, and financial hub, as well as the main port of communication for the North-East Indian states. Thanks to the recent expansion in the economy of Kolkata and the state as a whole, West Bengal is now the third fastest growing economy in the country, and the city's IT industry is developing at a rate of 70% per year — double the national average.
According to research and markets, the global big data and data engineering services market is expected to increase at a CAGR of 17.6 percent from USD 34.47 billion in 2018 to USD 77.37 billion by 2023. A data engineer in India earns an average amount of INR 10,00,000 per year! (Glassdoor) The average salary for a Data Engineer in Kolkata is 6,63,253 LPA.
Even if the employment market and pay are both tempting, data show that Data Engineer is the fastest-growing vocation in the technology industry, and you can get proceeded with our Data Engineering Certification Course in Kolkata!
Along with the data engineer courses, DataMites also provides data analytics, tableau, artificial intelligence, deep learning, data science, r programming, python training, and machine learning courses in Kolkata.