DATA ENGINEER COURSE IN BANGALORE

The DataMites® Data Engineer Course is intended to envelop all areas of data engineering using Python, including statistics, database fundamentals, Big Data, Data Wrangling, Numpy, Pandas, and other relevant topics. The demand for qualified Data Engineers is growing as data becomes more pervasive.

The Data Engineer Training Course includes a two-month real-world project as well as an internship opportunity to give students practical experience and real-world exposure. The Data Engineer course has no pre-requisites because it covers topics from the ground up.

A data engineer course is a valuable investment for individuals aspiring to excel in the field of data engineering. In today's data-driven world, organizations rely heavily on the effective management and processing of vast amounts of data. A data engineer course equips participants with the necessary skills and knowledge to design, build, and maintain robust data infrastructure and pipelines.

The International Association of Business Analytics Association (IABAC®), NASSCOM Future Skills Certification, and Jain University's JAINx have all given their approval to the curriculum.

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 provides a variety of learning alternatives, including live instructor-led training and in-person classroom training across many time zones. Both weekends and weekdays are accessible for training.

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

It's tough to describe data engineering accurately. It entails planning and constructing the data infrastructure required to gather, clean, and format data so that it is accessible and usable to end-users. It's frequently referred to as a relative of data science or a continuation of software engineering.

“It’s a huge competitive advantage to see in real-time what’s happening with your data.”

    - Hilary Mason

Why Should You Attend Data Engineer Training?

1. Data Engineering is the foundation of data science.
2. Data Engineering is a technically difficult field of research.
3. It's exceedingly gratifying - Data engineers aren't wholly inspired by the desire to make data scientists' jobs trouble-free. Doubtless, data engineers are having a rising impact on society.
4. It's a significant skill to have if you want to work in the field of data science.
5. A lucrative career with high job security

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.

Working in the field of big data is an excellent choice for a career. Data engineers have seen a 30% increase in job postings over the previous five years, which is much more than the national average. Furthermore, according to Glassdoor, data engineers in India earn over 10,00,000 LPA each year.

The DataMites® Data Engineering Course is the initial step in a data engineering career. 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 a variety of 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 advantages of taking a Data Engineer course:

1. Comprehend the basics of data engineering.
2. Acknowledge the Data Engineering Ecosystem and Lifecycle
3. Discover how to extract data from a wide range of files and databases.
4. Grasp 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. Learn how to create dashboards to track progress and how to set up a data pipeline.
7. Know how to scale data pipelines in a real-world setting.

A job as a Data Engineer is lucrative, secure, and extremely demanding.

In every organization, the function of a Data Engineer is critical in realizing the full potential of data. It is one of the fastest-growing professions in the world, according to a survey, with over 88.3 percent rise in job posts in 2019 and over 50 percent year-over-year growth in several vacant positions. They're about to give data scientists a run for their money.

There are now 40K data engineer jobs available in India. (LinkedIn) One of the most appealing aspects of this career is that it pays well. Data Engineers are well compensated by companies like Amazon, Deloitte, Netflix, and IBM. And, like with any industry, the more job experience you have, the better the benefits you will receive in the market.

India is already one of the world's leading Big Data analytics marketplaces, and NASSCOM has set the goal of making India one of the top three. According to NASSCOM, the Indian analytics business would be worth USD 16 billion by 2025.

In regards to being India's IT capital, Bangalore is the residence of industries such as aeronautics, biotechnology, automotive components, electronics machine tools, scientific research, space research, defense science research, and silk. In this competitive industry, it's vital to find the best software companies in Bengaluru that can deliver the most innovative custom-based software. Bangalore is in the spotlight because it is home to a large number of the country's IT industries. A Data Engineer in Bangalore earns an average salary of 10,00,000 LPA. (Glassdoor.com)

Whilst job growth and income are both appealing, statistics show that Data Engineer is the fastest-growing position in the technology area, and you can get started on your professional beginning in the Data Engineering domain with our Data Engineering Certification Course in Bangalore!

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 Bangalore.