Get ahead with the Post Graduate data engineer course in San Jose in Data Engineering in collaboration with Purdue University and IBM. With this data engineer training in San Jose, 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
This Data Engineering course is ideal for professionals, covering critical topics like the Hadoop framework, Data Processing using Spark, Data Pipelines with Kafka, Big Data on AWS, and Azure cloud infrastructures. This program is delivered via live sessions, industry projects, IBM hackathons, and Ask Me Anything sessions.
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.
Industry Master Class – Data Engineering
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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
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The demand for data engineers in San Jose has been increasing since 2018. On an average, a data engineer in San Jose earns $122,449. They are mainly responsible for organizing, maintaining and identifying trends from large data sets for sound decision-making in a company.
The data engineers play an important role in organizations by providing meaningful insights for decision making. The prominent companies hiring data engineers in San Jose are Netflix, Wish, Credit Karma, Dropbox and eBay. Certified data engineers have various career opportunities in San Jose.
The major industries in San Jose are manufacturing, healthcare, and internet industries, which acts as a major contributor to the growth of San Jose’s GDP. The data engineering course training provides great opportunities for professionals aspiring to build their career in this field.
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.
The total population of San Jose is 1021795, which makes it tenth most populous city in the USA and third-most in California. San Jose is the largest city in Northern California covering an area of 179.97 square miles. The CSA of San Jose and San Francisco has a total GDP per capita of $106757 in 2018 both combined.
San Jose has the most pleasant climate with warm to hot summers and mild cold winters. The other name of San Jose is Silicon Valley as it is technologically rich. This city has the highest number of millionaires and billionaires. San Jose is epicenter of culture and technology, this makes it a beautiful city to visit and explore
San Jose has a lot of attractions and exceptional places to visit and explore. San Jose is majorly known for world class shopping experience, museums, peaceful parks for walk and historical places. It has numerous weekend getaway places where one can have fun with their families. Some of the best must visit place in San Jose are: