DATA ENGINEER COURSE IN KOCHI

The DataMites® Data Engineer Course blankets all the significant elements of data engineering with Python, Statistics, Database essentials, Big Data, Data Wrangling, Numpy, Pandas, and other related topics. In a world where data is widespread the call for qualified and competent data engineers seems to only grow. 

The Data Engineer Training Course is of two months of the real-time project along with the internship opportunity offering practical experience and real-world exposure. There are no mandatory prerequisites for the Data Engineer Training as the course covers topics from the bottom up.

A data engineer course equips individuals with the technical expertise to excel in the field of data engineering. It provides a comprehensive understanding of data infrastructure, tools, and techniques required to build robust data pipelines, optimize data storage and retrieval, and ensure data quality. By mastering these skills, data engineers can effectively handle large volumes of data, enable efficient data processing, and support data-driven decision-making within organizations.

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

1. Data Engineering Introduction
2. Python Programming Foundation
3. Database (RDBMS) Foundation 
4. Statistics for Data Engineering
5. Introduction to Big Data
6. Big Data - Hadoop
7. Data Manipulation - Python Numpy & Pandas
8. Data Cleaning and Transformation
9. Data Visualization
10. AWS Data Services
11. PySpark Introduction
12. Database (RDBMS - SQL & PL/SQL)

DataMites offers flexible learning options with both live instructor-led training and in-person classroom training in various time zones. The training is available both on weekends and weekdays.

1. Classroom Training
2. Online Live Virtual Training
3. Self Learning

The position of the data engineer has changed dramatically during the previous decade. Data is acquired more regularly, is significantly less segregated, and is more available to everyone throughout an organization than ever before, thanks to industry innovations like the introduction of scalable processing and cloud data warehouses. As these systems demand increasingly sophisticated infrastructure, the engineer's position has become increasingly important.

“Data that is loved tends to survive.” 

       -  Kurt Bollacker, computer scientist

What are the Advantages of Data Engineer Training?

1. The building block of data science is data engineering.
2. Data engineering is a technically challenging area of study.
3. It's quite satisfying - data engineers aren't entirely motivated by a desire to make data scientists' jobs easier. Data engineers, without a doubt, are having an increasingly significant impact on society.
4. If you want to work in the field of data science, this is a crucial ability to have.
5. Rewarding employment with a solid job security

Data Engineering's purpose is to offer an orderly, uniform data flow that enables data-driven models like machine learning models and data analysis. The data flow described above can pass via numerous companies and teams. We utilize the data pipeline approach to achieve the data flow. It's a system with several separate programs that perform various tasks.

Data engineers have overtaken data scientists by a factor of two, with a 20 to 30% higher compensation than the latter. Year after year, earnings continue to rise significantly.

The DataMites® Data Engineering Course is a great channel in data engineering. Develop the skills you'll need to break into this expanding field or brush up on what you already know about data warehousing and ETLs, data storage, and data consumption from multiple sources. 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.

The following are some of the reasons for taking a Data Engineer course:

1. Understand the basics of data engineering.
2. Know inside out of the Data Engineering Ecosystem and Lifecycle
3. Discover how to extract data from a wide range of files and databases.
4. Learn how to use various skills and tactics to clean, change, and improve your data.
5. In relational and NoSQL databases, learn how to operate with various file types.
6. Know how to create dashboards to track progress and how to set up a data pipeline.
7. Find out how to scale data pipelines in a real-world setting.

Data engineers make a good living in the analytics field, and they're in high demand in a variety of industries.

India is a talent hotspot. Nearly half of the world's data engineers live in the United States, while India comes second with 11.96 percent of data engineering expertise, according to a poll. The data industry is expected to reach $680 billion by 2020, with a CAGR of 24%. However, as the importance of data and skilling in IT and technology organizations grows, it is time for India to establish itself as the leading state-of-the-art' destination for qualified data engineers and professionals.

Kochi, Kerala's commercial capital, is the only Indian city to be chosen to Cognizant's coveted '21 Places of the Future list. Kochi is moving to the future, with large green-tech investments, human-focused growth measurements like literacy rate and life expectancy replacing GDP as the key driver of growth, and a new special economic zone aimed at keeping local talent and attracting outside investment.

The national average salary for a Data Engineer in India is INR 8,65,008 per year! (Payscale) A data engineer in Kochi receives an annual salary of 8,57,557 INR! (Indeed.com)

Even if the job market and compensation are both appealing, statistics suggest that Data Engineer is the fastest-growing vocation in the technology area, and you can get going in the Data Engineering sector with our Data Engineering Certification Course in Kochi!

Along with the data engineer courses, DataMites also provides artificial intelligence, tableau, data analytics, deep learning, data science, r programming, python training, and machine learning courses in Kochi.