DATA ENGINEER COURSE IN MANGALORE

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 highly advantageous for individuals aspiring to enter the field of data engineering. It provides essential skills and knowledge related to data modeling, ETL processes, data pipelines, and database management. By mastering these concepts, students can effectively handle large volumes of data, optimize data storage and retrieval, and ensure data quality. Additionally, the course focuses on industry-standard tools and technologies, empowering learners to work with real-world datasets and excel in managing data infrastructure for organizations.

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.

Mangalore is yet another city in Karnataka that is driving IT growth on a high scale. A wide range range of companies is setting up their foundation here since the place is less expensive than Bangalore and also that the city has a high potential for growth. A Data Engineer in Mangalore earns an average salary of 6,66,836 LPA. (Indeed.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 starting on your professional beginning in the Data Engineering domain with our Data Engineering Certification Course in Mangalore!

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