Data Engineering
Build the Foundation for a Data Engineering Career. Develop hands-on experience with Python, SQL, and Relational Databases and master the fundamentals of the Data Engineering ecosystem.
4.5 (82 ratings)
Rated 4.5 out of 5
Data Engineering
Build the Foundation for a Data Engineering Career. Develop hands-on experience with Python, SQL, and Relational Databases and master the fundamentals of the Data Engineering ecosystem.
4.5 (82 ratings)
Rated 4.5 out of 5
Course Features
Data Engineering Course Overview
Our Data Engineering course will provide you with in-depth knowledge in SQL, Python, data pipelines, data transformation, Spark, and cloud services of AWS and Azure. Multiple Data Engineering courses and real-world projects help you master core concepts & skills like creating production-ready ETL and pulling data from multiple data sources, building cloud data warehouses, Data Modeling, etc.
Who Can Apply for the Data Engineering Course?
- Freshers and Undergraduates willing to pursue a career in data engineering
- Anyone looking for a career transition to data engineering
- IT professionals
- Experienced professionals willing to learn data engineering
- Technical and non-technical professionals with basic-level programming knowledge can also apply
- Project Managers
What Roles Does a Data Engineer Play?
Big Data Engineer
They design and build complex data pipelines and have expert knowledge in coding using Python, etc. These professionals collaborate and work closely with data scientists to run the code using various tools such as the Hadoop ecosystem, etc.
Data Architect
They are typically the database administrators and are responsible for data management. These professionals have in-depth knowledge of databases, and they also help in business operations.
Business Intelligence Engineer
They are skilled in data warehousing and create dimension models for loading data for large-scale enterprise reporting solutions. These professionals are experts in using ELT tools and SQL.
Data Warehouse Engineer
They are responsible for looking after the ETL processes, performance administration, dimensional design, etc. These professionals take care of the full back-end development and dimensional design of the table structure.
Technical Architect
They design and define the overall structure of a system to improve the business of an organization. The job role of these professionals involves breaking large projects into manageable pieces.
Course Curriculum
- Introduction to SQL
- Database Normalization and Entity Relationship Model
- SQL Operators
- Join, Tables, and Variables in SQL
- Deep Dive into SQL Functions
- Subqueries in SQL
- SQL Views, Functions, and Stored Procedures
- User-defined Functions in SQL
- SQL Optimization and Performance
- SQL Parsing
- Managing Database Concurrency
- Python Basics
- OOPs Concept
- NumPy
- Pandas
- Data Visualization
- File Handling
- Exception Handling
- Regular Expressions Fundamentals
- Introduction to Linux
- File System Navigation
- File and Text Manipulation
- User and Group Management
- Process Management
- System Configuration and Networking
- System Monitoring and Logging
- Shell Scripting
- Security and Permissions
- Advanced Linux Commands
- Basic Concepts of Data Modelling
- Business Data Requirements – Entities and Classes
- Business Data Requirements – Attributes
- How To Link Things Together – Relationships
- Requirements Analysis
- Conceptual Data Modeling
- Logical Data Modeling
- Physical Data Modelling
- Data Modelling Tools and Techniques
- Data Modelling Documentation and Communication
- AWS Basics
- Amazon Kinesis
- Amazon MSK (Managed Streaming for Apache Kafka)
- AWS Glue
- Amazon EMR (Elastic MapReduce)
- Amazon S3 (Simple Storage Service)
- Amazon S3 Glacier
- DynamoDB
- AWS Redshift
- Amazon Athena
- Amazon QuickSight
- Introduction to Microsoft Azure
- Authentication, Authorization, and Monitoring
- Data Storage and Integration
- Azure Synapse Analytics and Databricks
- Azure Stream Analytics, and Azure Service Bus
Introduction to Airflow
- Introduction to Airflow
- Testing a Task in Airflow
- Examining Airflow Commands
- Airflow DAGs
- Defining a Simple DAG
- Working With DAGs and the Airflow Shell
- Troubleshooting DAG Creation
- Airflow Web Interface
- Starting the Airflow Webserver
- Navigating the Airflow UI
- Examining DAGs With the Airflow UI
- Introduction to Apache Spark
- PySpark SQL and Data Frames
- Apache Kafka and Flume
- PySpark Streaming
- Introduction to PySpark Machine Learning
- Introduction to DevOps
- Git
- Docker
- Kubernetes
- Jenkins
- Introduction to Power BI
- Data Extraction
- Data Transformation – Shaping & Combining Data
- Data Modeling & DAX (Data Analysis Expressions)
- Data Visualization with Analytics
- Power BI Service (Cloud), Q & A, and Data Insights
- Power BI Settings, Administration & Direct Connectivity
- Embedded Power BI with API & Power BI Mobile
- Power BI Advance & Power BI Premium
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Student’s Testimonial
I attended the Data Science Course at Jagathi IT and it was a fantastic experience. The curriculum is structured to help students master the essential vocabulary in Python (and R). All-in-all I felt the program delivered exactly the skills that I was looking to build. I'd recommend it highly to anybody who wants an effective foundation in Data Science and wants to Upscale.
Jagathi exceeded my expectations in a way I had never even thought possible. I expected a single mentor from Jagathi, but I ended up getting several people who guided me throughout.
The course is structured in a way so that people who have a good grasp of the fundamentals of programming can better themselves in higher level topics, which are commonly asked in tech interviews.
The most beautiful aspect of this program is that you are able to apply the learnings to the real-life business analytics problems as well. There are various points that contribute to this, such as the quality content that is designed by the world-class faculties. The turnaround time for your queries is really low similar to a regular classroom program.
At work, it helped me create authority over the areas I used to be uncertain about earlier; which resulted in better insights and in-depth reporting.
How You Benefit From This Program
- 1 -1 Mentor coaching and Career support
- 30% Average Salary Hike
- 500+ Hiring Partners
- Guidance from Corporate Specialists
- Participate in workshops and live webinars