Course Name	Duration	Classes	Total Fee	Mode of Training	Class Timing
Data Engineer Course	3 Months	60	72,000 PKR	Online & Face-to-Face	To be decided mutually with students

Data Engineer Training Certification Course

First, a data engineer course teaches how to collect data. Then, it shows how to clean and organize it. So, data becomes ready to use.
Next, you learn about databases and storage. After that, you practice saving data properly. Thus, data stays safe and easy to find.
Also, the course explains data pipelines. Then, you learn how data moves step by step. As a result, systems work smoothly.
Moreover, you study tools like SQL and Python. Afterward, you use them to handle data. Therefore, tasks become faster and easier.
In addition, you learn about big data systems. Then, you understand large data handling. So, you can manage huge information.
Besides this, the course covers data security. Next, you learn how to protect data. Hence, information stays private and safe.
Finally, you work on real projects. Then, you apply all your skills together. In conclusion, you become job-ready.

Data Engineer | Training Course Nearby Rawalpindi.

Advantages of Data Engineer Training Course

First, you learn useful skills. Then, you handle big data easily. So, you become more confident.
Also, it improves job chances. Because companies need data engineers. Therefore, you get more opportunities.
Next, you learn new tools. For example, databases and pipelines. As a result, your knowledge grows fast.
Moreover, salary is high. Since demand is increasing daily. Thus, you can earn good money.
After that, you solve real problems. Because data is used everywhere. So, your work becomes important.
In addition, career growth is strong. As you gain more experience. Then, you can reach higher roles.
Finally, you can work globally. Because data jobs are worldwide. Hence, you get remote chances.

Data Engineer Training Certification Course Outline

Data Engineering basics learn karte hain jisme data ko collect, store aur process karna hota hai. SQL aur databases ka use karke data ko manage aur organize kiya jata hai. Python aur tools jese Spark se large data ko clean aur process kiya jata hai. Data pipelines banaye jate hain jo data ko ek jagah se doosri jagah move karte hain.

Module 1: Introduction to Data Engineering

First, understand what data engineering means.
Next, learn role of a data engineer.
Then, explore real-world data systems.
Finally, see how data supports decisions.

Module 2: Basics of Data Types

First, learn structured and unstructured data.
Next, identify text, numbers, and images.
Then, understand data formats like CSV, JSON.
Finally, practice simple data examples.

Module 3: Databases Introduction

First, understand what a database is.
Next, explore tables, rows, and columns.
Then, learn SQL basics for queries.
Finally, create simple database tables.

Module 4: Data Collection Methods

First, collect data from APIs and files.
Next, gather data from websites or apps.
Then, clean raw data carefully.
Finally, store data in proper format.

Module 5: Data Cleaning & Processing

First, remove duplicate or wrong data.
Next, fix missing values properly.
Then, format data into usable form.
Finally, prepare clean datasets for use.

Module 6: Data Pipelines Basics

First, understand what a data pipeline does.
Next, move data from source to storage.
Then, automate steps using simple tools.
Finally, monitor pipeline performance regularly.

Module 7: Working with Big Data

First, understand concept of big data.
Next, explore tools like Hadoop and Spark.
Then, process large datasets efficiently.
Finally, store data in distributed systems.

Module 8: Cloud Data Engineering

First, learn basics of cloud platforms.
Next, use tools like AWS or Google Cloud.
Then, store data in cloud storage.
Finally, manage data services online.

Module 9: Data Warehousing

First, understand what a data warehouse is.
Next, store structured data for analysis.
Then, learn ETL process basics.
Finally, organize data for reporting use.

Module 10: Data Security & Governance

First, protect data with strong security rules.
Next, manage user access carefully.
Then, follow data privacy guidelines.
Finally, maintain data quality standards.

Module 11: Data Visualization Basics

First, convert data into simple charts.
Next, use tools like Power BI or Tableau.
Then, create clear dashboards for users.
Finally, explain insights using visuals.

Module 12: Certification & Final Project

First, review all modules carefully again.
Next, complete a small data project.
Then, submit project for evaluation.
Finally, earn your Data Engineer Certificate.

Experience and Inspiring Trainers:

First of all, Our trainers bring their years of industry experience during the course. Moreover, They are expert and passionate about delivering inspiring training as they know training inside out. Also, They will advise you on all the options to make sure you get the best possible result.

Real-time Practice and Projects:

Our Data Engineer Training course are comprehensive and practical. Moreover we work on industry related projects.

Prerequisites for Data Engineer Training Course:

Basic understanding of computers is needed before starting this course. You should know how to use files, folders and software. Simple computer skills make learning data engineering easier.
Knowledge of basic mathematics is important for this field. You should understand simple calculations and logic. It helps in working with data and numbers.
Learning a programming language like Python is very helpful. It is widely used in data engineering work. It makes data handling and analysis simple.
Understanding basic SQL is required for database work. It helps to store, manage and fetch data easily. Databases are a key part of data engineering.
Basic knowledge of data structures is useful. It helps in organizing and processing data properly. You will work with large amounts of data.
Familiarity with spreadsheets like Excel is helpful. It teaches how data is arranged and analyzed. It is a good starting point for beginners.
Problem-solving skills are very important for this course. You should be able to think logically and clearly. It helps in building efficient data solutions.

Certificate:

Finally completing this training you will receive a course completion certificate along with internship in Data Engineer Training so you can get recognition for your new skills.

Course Material:

Softy Copy notes are briefly included in this course

Support and Careers Advice:

In the end , our trainers are always ready to help you for any problems or question regarding Data Engineer Training. furthermore, We prepare students for facing Interview questions on Data Engineer Training and also help them to build their online resume. Our more than 90% students are placed in good MNCs.

“Our Student Success is Our Mission”.