Get ahead with the Post Graduate data engineer course in Los Angeles in Data Engineering in collaboration with Purdue University and IBM. With this data engineer training in Los Angeles, you will master top data engineering skills with real-world applications.
Joint certificate from Purdue university and Simplilearn
Obtain IBM certificates for IBM courses and get access to masterclasses by IBM
Build your resume and prepare for interviews with valuable insights from industry experts
14+ industry relevant projects from the likes of Amazon, Facebook, YouTube, and many more
The data engineer course in Los Angeles primarily focuses on using the Hadoop framework for distributed processing, Spark for large-scale processing of data, and AWS, along with Azure cloud infrastructures for processing data. On completing this data engineer course in Los Angeles, you equip yourself for a career in data engineering.
This PG Data Engineering program in partnership with Purdue University leverages Purdue’s academic excellence & Simplilearn’s collaboration with IBM, providing a comprehensive view of the Data Engineering domain.
Fast-track your career as a Data Engineering professional with our Data Engineering course. This course covers Big Data and Data Engineering concepts, the Hadoop ecosystem, Apache Python basics, AWS EMR, Quicksight, Sagemaker, the AWS cloud platform, and Azure services.
Get started with the Data Engineering certification course in partnership with Purdue University and explore the basics of the program. Kick-start your journey with preparatory courses on Data Engineering with Scala and Hadoop, and Big Data for Data Engineering.
Understand the fundamental concepts of the AWS platform and cloud
computing
Identify AWS concepts, terminologies, benefits, and deployment
options to meet business requirements
Identify deployment and network options in AWS
Understand how to use Amazon EMR for processing the data using
Hadoop ecosystem tools
Understand how to use Amazon Kinesis for Big Data processing in
real-time and analyze and transform Big Data using Kinesis Streams
Visualize data and perform queries using Amazon QuickSight.
Describe Azure storage and create Azure web apps
Deploy databases in Azure
Understand Azure AD, cloud computing, Azure, and Azure
subscriptions
Create and configure VMs in Microsoft Azure
Implement data storage solutions using Azure SQL Database, Azure
Synapse Analytics, Azure Data Lake Storage, Azure Data Factory,
Azure Stream Analytics, Azure Databricks services
Develop batch processing and streaming solutions
Monitor Data Storage and Data Processing
Optimize Azure Data Solutions
By the end of Data Engineering certification course, showcase your new Data Engineering skills with a hands-on, industry-relevant capstone project bringing everything you learned in the program together into one portfolio-worthy example. You can choose to work on projects in ecommerce, BFSI, or video sharing to make your practice more relevant.
Create your first Python program using variables, strings, functions, loops, and conditions.
Understand and apply concepts related to lists, sets, dictionaries, conditions, branching, objects, and classes in Python.
Utilize the Pandas library to load, manipulate, and save data and read and write files in Python.
Describe the importance of big data
Describe the fundamental concepts of Kafka
Describe the architecture of Kafka
Explain how to install and configure Kafka
Explain how to use Kafka for real-time messaging
This Data Engineering certification course syllabus includes Google Cloud Platform Development Essentials.
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Conduct Market analysis for online grocery delivery and pick-up service utilizing a data set of a large sample size.
Measure user interactions to rank the top trending videos on YouTube and determine actionable insights.
Build visualization for the sales data using a dashboard to estimate the demand for all locations. This will be used by a retailer to make a decision on where to open a new branch.
Upload data to Azure Data Lake Storage and save large data sets to Delta Lake of Azure Databricks so that files can be accessed at any time.
Monitor the performance of an EC2 instance to gather data from all parts and understand debugging failure.
Analyze the sales data to derive significant region-wise insights and include details on the product evaluation.
Disclaimer - The projects have been built leveraging real publicly available data-sets of the mentioned organizations.
Aly El Gamal has a Ph.D. in Electrical and Computer Engineering and M.S. in Mathematics from the University of Illinois. Dr. El Gamal specializes in the areas of information theory and machine learning and has received multiple commendations for his research and teaching expertise.
The global big data and data engineering services market is expected to grow from USD 130.7 billion in 2020 to USD 234.6 billion by 2025, at a CAGR of 10.2% (Source: Global Industry Analytics Inc)
Expected New Jobs For Data Analytics And Science Related Roles
YOY Growth For Data Engineer Positions
Average Annual Salary
This Data Engineering postgraduate program caters to working professionals across industries. Learner diversity adds richness to class discussions and interactions.
Candidates can apply to this Data Engineering course in 3 steps. Selected candidates receive an admission offer which is accepted by admission fee payment.
Tell us why you’d want to do this Data Engineering course
An admission panel will shortlist candidates based on their application
Selected candidates can begin the Data Engineering course within 1-2 weeks
For admission to this Data Engineering course, candidates should have:
The admission fee for this Data Engineering course is $ 3,850. It covers applicable program charges and the Purdue Alumni Association membership fee.
We are dedicated to making our programs accessible. We are committed to helping you find a way to budget for this program and offer a variety of financing options to make it more economical.
You can pay monthly installments for Post Graduate Programs using Splitit, ClimbCredit or Klarna payment option with low APR and no hidden fees.
We provide the following options for one-time payment
There are no cohorts available in your region currently
For admission to this Post Graduate Program in Data Engineering in Los Angeles, candidates need:
The admission process consists of three simple steps:
To ensure money is not a barrier in the path of learning, we offer various financing options to help ensure that this Post Graduate Program in Data Engineering in Los Angeles is financially manageable. Please refer to our “Admissions Fee and Financing” section for more details.
As a part of this Post Graduate Program, in collaboration with IBM, you will receive the following:
Upon successful completion of this program in Los Angeles, you will be awarded a Post Graduate Program in Data Engineering certification by Purdue University. You will also receive industry-recognized certificates from IBM and Simplilearn for the courses on the learning path.
The average annual salary of a data engineer is $92,496 in Los Angeles. Pursuing a data engineering course in Los Angeles will increase your chances to get a salary hike from the top most multinational companies in Los Angeles. Not only this but also the course is perfect to get professional exposure.
Data engineering is an important aspect for all companies to protect their secret data from outsiders. Many companies like Columbus Technologies, Foursquare, Luxoft keep on hiring data engineers with lucrative salary and candidates who have completed data engineering course in Los Angeles would be a plus point to get the first preference.
Los Angeles is home to leading companies from various industries. While manufacturing has the strongest presence here, but the candidates will also get opportunities from various other industries like tourism, defence, aerospace, IT, entertainment and healthcare. This is why it is extremely important to pursue data engineer training in Los Angeles.
Yes, you can join the Data Engineer Course even if you belong to something other than a technical background. However, having a good hand at object-oriented programming languages will be beneficial. It is always an advantage to learn in-demand skills required in the industry.
Data Engineers command lucrative salaries worldwide. They earn an average annual salary of Rs. 887,206 in India, £43,082 in the UK, $96,659 in the US, CA $85,228 in Canada, and AU$99,659 in Australia.
You will get eligibility to Purdue Alumni Association Membership after completion of the Data Engineering course.
Yes, you can cancel your enrollment if necessary. We will refund the program price after deducting an administration fee. To learn more, you can view our Refund Policy.
* Disclaimer: Professional Certificate Program in Data Engineering is offered non-credit and is not transferable to a degree.
Los Angeles is a city that enjoys a pleasant to moderate climate all across the year. And this type of climate is perfect to go for outdoor activities which is why it is also known for party life. The city is also famous for film and entertainment, specifically Hollywood and Los Angeles is known as the entertainment capital of the world.
Apart from this, the city is culturally diverse having a population density of around 10 million. In fact, it is the second-most populous city in California. The overall GDP of the city is close to $1 trillion with a per capita GDP of approximately $6,800.
Los Angeles is adored by most of the tourists across the world as it has a number of famous landmarks which are worth visiting. If you are visiting the place the first time, you should not miss the Hollywood Sign which is globally famous. Let’s shed some light on the other famous places to visit in Los Angeles: