CERTIFIED DATA ENGINEER

The DataMites® Data Engineer Course is designed to cover all the aspects of data engineering with Python, Statistics, Database essentials, Big Data, Data Wrangling, Numpy, Pandas and other related topics. As data becomes ubiquitous so is the demand for qualified Data Engineers. 

The Data Engineer Training Course is bundled with two months of the real-time project along with the internship facility to provide practical experience and real-world exposure. There are no hard prerequisites for the Data Engineer course as the course covers topics from the scratch.

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 instructors led training and in-person classroom training in various time zones. The training is available both on weekends and weekdays batches.

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

In every organisation, the function of a Data Engineer is critical in realising 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. 

“Where there is data smoke, there is business fire.”

      - Thomas Redman (aka ‘data doc’)

Why Should You Attend Data Engineer Training?

1. It's because it's the foundation of data science.

2. It's a technically difficult field of research.

3. It's extremely rewarding - Data engineers aren't merely motivated by the desire to make data scientists' jobs easier. There's no doubting that data engineers are having an ever-increasing impact on society.

4. It's an important ability to have if you want to work in the field of data science.

5. A well-paying career with high job security

Data Engineering is a field that deals with data analysis and duties such as obtaining and storing data from various sources. Data Engineering improves the efficiency of data science. If no such sector exists, we will have to devote more time to data analysis in order to answer difficult business challenges. As a result, Data Engineering necessitates a thorough grasp of technology, tools, and the reliable execution of big datasets.

DataMites® Data Engineering Course is the first step toward a career in data engineering. Develop the skills you'll need to enter into this burgeoning area or brush up on what you already know about data warehousing and ETLs, data storage, and consuming data from many 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 that 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.

Learning Benefits of Data Engineer Course:

1. Understand what Data Engineering entails.

2. Recognize the Ecosystem and Lifecycle of Data Engineering

3. Learn how to extract information from a variety of files and databases.

4. Learn how to clean, alter, and enrich your data using various skills and strategies.

5. Learn how to work with various file types in relational and NoSQL databases.

6. Learn how to set up a data pipeline and create dashboards to track progress.

7. Learn how to scale data pipelines in a production environment.

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 earn over $110,000 each year.

The worldwide big data and data engineering services market is predicted to develop at a Compound Annual Growth Rate (CAGR) of 17.6 percent from USD 29.50 billion in 2017 to USD 77.37 billion by 2023. The study's base year is 2017, with a projection span of 2018–2023.

(Markets and Markets)

Furthermore, the national average salary for a Data Engineer is USD 1,12,493 per year in the United States. The salary for a Data Engineer is £41043 per annum in the UK. And a data engineer in India earns an average amount of INR 9,80,000 per year! (Glassdoor) 

While the job growth and pay are both attractive, according to studies, Data Engineer is the fastest-growing job in the technology field, and with our Data Engineering Certification Course, you can get started on your new career in the Data Engineering domain!