This Post Graduate Data Engineer course in San Francisco is offered to you in collaboration with IBM and Purdue University and can help you advance in your career. The Data Engineer Course in San Francisco will help you master critical data engineering skills with real-world practical training.
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 Engineer Course in San Francisco focuses on Hadoop-based distributed processing, Spark-based large-scale data processing, Kafka-based data pipelines, and data processing on AWS and Azure cloud infrastructures. You will be career-ready for a data engineering role after completing this Data Engineer Training in San Francisco.
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 San Francisco Bay Area, 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 San Francisco Bay Area 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 the San Francisco Bay Area, 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.
A data engineer in San Francisco can expect to earn $124,011 annually. You will, of course, be in a better position to negotiate a higher pay package if you have completed your data engineer course in San Francisco.
Companies generate reams of data at every step of the way. To make sense of this raw data and convert it into something usable requires data engineers. Which is why companies like Bristol Myers Squibb are looking for candidates who have completed a data engineer course in San Francisco.
San Francisco may well be a cultural center but it is also an important business city as well. Many major industries such as IT and life sciences have their presence here, making it easy for those with data engineer training in San Francisco to find new opportunities.
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.
San Francisco is a fascinating city with many quirks and numerous firsts. For instance, this was the city where denim jeans were invented. Levi Strauss designed them so that miners during the California Gold Rush had something comfortable and at the same time durable to wear. San Francisco was also the place where the United Nations charter was drafted in 1945.
While the entire country of United States was reeling from the effects of the Great Depression, San Francisco actually thrived during that time. Not a single bank from the city failed while the iconic Golden Gate Bridge was constructed in that time as well.
For a city that’s small in area, San Francisco has plenty of places to go to and things to do. The city has a number of walking trails that you can explore or even visit the districts which are generally shown in some of the more famous movies. Some other places in San Francisco to go to are: