Post Graduate Program In Data Science, Seattle
Ranked No.1 Data Science Certification Program by Economic Times
Supercharge your career with this high-powered Professional Certificate Program, offering Data Science certification in Seattle. The program, conducted in collaboration with Purdue University and IBM, combines case studies, theory, and hands-on practice. Earn your Data Science certification in Seattle now.
- Application closes on 16 Sep, 2024
- Program duration 11 months
- Learning Format Online Bootcamp
Why Join this Program
Purdue’s Academic ExcellenceJoint data science program certificate from Purdue University Online and Simplilearn
Gain Generative AI MasteryDedicated course on generative AI, prompt engineering, LLMs, ChatGPT, and their applications
IBM’s Industry ProwessObtain certificates for IBM courses and get access to masterclasses delivered by IBM experts
Hands-on Learning ApproachPractical learning through 25+ hands-on projects and 20+ tools with access to integrated labs
World’s #1 Online Bootcamp
Take the first step to your goals
Lifetime access to self-paced e learning content
Purdue Data Science Overview
The Professional Certificate Program in Data Science teaches you the right tools and techniques, from Python to Machine Learning, and more. The Data Science certification program in Seattle provides hands-on labs and projects, bringing the teaching to life. Expert instructors from IBM and Purdue University advise and teach our students in this Data Science certification program in Seattle.
Key Features
- Program completion certificate from Purdue University Online and Simplilearn
- Access to Purdue’s alumni association membership on program completion
- Core curriculum delivered in live online classes by industry experts
- Industry-recognized IBM certificates for IBM courses
Purdue Data Science Advantage
This Post Graduate Program in Data Science is an all-encompassing program that leverages Purdue's academic excellence in the field of data science and Simplilearn's partnership with IBM.
Partnering with Purdue University
- Program certificate from Purdue University Online and Simplilearn
- Masterclasses delivered by Purdue faculty and staff
- Access to Purdue Alumni Association membership
Program in collaboration with IBM
- Industry-recognized IBM certificates for IBM courses
- Industry masterclasses conducted by IBM
- Exclusive hackathons and Ask Me Anything (AMA) sessions
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Purdue Data Science Details
Propel your career forward by embarking on a carefully designed learning journey that covers GenAI, prompt engineering, Python, data analysis, machine learning, deep learning, and more. With hands-on projects and industry-standard tools, you will be well-prepared to tackle real-world challenges.
Learning Path
Get started with the Post Graduate Program in Data Science in partnership with Purdue University Online and explore everything about the domain. Kickstart your Data Science journey with the preparatory courses on Statistics and Programming.
- Master procedural & OOP in Python.
- Understand Python's benefits.
- Install Python & its IDE.
- Familiarization with Jupyter Notebook.
- Implement identifiers, indentations, & comments effectively.
- Grasp Python's data types, operators, & string functions.
- Learn various loops in Python.
- Explore variable scope in functions.
- Explain OOP principles & characteristics.
- Understand databases & relationships.
- Use query tools & SQL commands.
- Master transactions, table creation, & views.
- Execute complex stored procedures.
- Acquire expertise in SQL filtering, grouping, joins, etc.
- Explore SQL functions: string, math, date, and pattern matching.
- Ensure database security with access control functions.
- Gain Python skills for data science.
- Write Python scripts proficiently.
- Perform hands-on data analysis.
- Utilize Jupyter-based lab environment.
- Explore data prep, modeling, & evaluation.
- Master NumPy, array indexing, slicing.
- Understand skewness, covariance, correlation.
- Describe null & alternative hypotheses.
- Examine Z-test, T-test, ANOVA.
- Utilize pandas' Series & DataFrame.
- Create visualizations with Matplotlib, Seaborn, Plotly, and Bokeh.
- Explore diverse ML types & applications.
- Understand ML pipeline & supervised learning.
- Learn regression models & classification algorithms.
- Cover unsupervised learning & clustering techniques.
- Evaluate frameworks: TensorFlow, Keras.
- Build a recommendation engine with PyTorch.
- Deploy deep learning tools with AI/ML frameworks.
- Explore fundamental concepts & practical applications.
- Understand deep learning vs. machine learning.
- Cover neural networks, propagation, TensorFlow 2, Keras.
- Learn performance improvement & interpretability.
- Study CNNs, transfer learning, RNNs, and autoencoders.
- Create neural networks in PyTorch.
- Build & optimize models with Keras & TensorFlow.
- Understand the fundamentals of artificial intelligence and generative AI models
- Comprehend the concept of explainable AI, recognize its significance, and identify different approaches
- Gain an understanding of ChatGPT, including its working mechanisms, notable features, and limitations
- Identify and explore diverse applications and use cases where ChatGPT
- Gain exposure to fine-tuning techniques to customize and optimize ChatGPT models
- Recognize the ethical challenges of generative AI models and ChatGPT
- Gain insights into the future of generative AI and its challenges.
- Explore generative AI's role in data science.
- Learn its applications across industries.
- Overcome lifecycle challenges with generative AI.
- Leverage it for data understanding & model building.
- Master industry-specific EDA tools & techniques.
- Develop skills for success in data science.
The data science and machine learning capstone project provides a unique opportunity to apply skills in real-world scenarios. Guided by industry mentors, you'll address industry challenges, from data processing to presenting results. Using Python or SAS, implement regression, decision trees, and AI algorithms for accurate models. Ensure model robustness with k-fold cross-validation. Utilize Tableau for insightful result visualization.
Electives:
Attend an online interactive masterclass and get insights about advancements in technology/techniques in Data Science, AI, and Machine Learning.
Attend this online interactive industry master class to gain insights about Data Science advancements and AI techniques.
- Learn about math, variables, strings, vectors, factors, and vector operations
- Gain fundamental knowledge of arrays and matrices, lists, and data frames
- Get insight into conditions and loops, functions in R, objects, classes, and debugging
- Learn how to read text, CSV, and Excel files accurately and how to write and save data objects in R to a file
- Understand and work on strings and dates in R
- Analyze data for valuable business insights with Power BI
- Create interactive dashboards for effective decision-making
- Enhance operational efficiency
- Develop dashboards from published reports
- Utilize Quick Insights for rapid data pattern discovery
- Adopt practical approaches within Power BI
- Dive deep into computer vision.
- Master advanced Deep Learning techniques.
- Cover image formation and processing.
- Learn CNNs, object detection, and segmentation.
- Study generative models, OCR.
- Explore distributed, parallel computing.
- Understand Explainable AI (XAI).
- Deploy deep learning models effectively.
- Tackle complex vision challenges.
- Explore applying ML to natural language data.
- Focus on natural language understanding.
- Learn feature engineering for NLP.
- Study natural language generation.
- Cover automated speech recognition.
- Master speech-to-text & text-to-speech conversion.
- Build voice assistance devices & Alexa skills.
- Acquire advanced NLP & speech recognition skills.
- Tackle sophisticated challenges in language & speech applications.
- Gain a comprehensive understanding of data ethics.
- Explore relevance, legal frameworks & privacy.
- Address security protocols & biases.
- Learn decision-making & visualization practices.
- Understand the societal impacts of data analytics.
Program Advisors and Trainers
Program Advisors
Patrick J. Wolfe
Frederick L. Hovde Dean of the College of Science at Purdue UniversityPatrick J. Wolfe, an award-winning researcher in the mathematical foundations of data science, is the Frederick L. Hovde Dean of the College of Science at Purdue University and was named the 2018 Distinguished Lecturer in Data Science by the IEEE.
Program Trainers
Simon Travasoli
25+ years of experienceSenior Data Science Consultant at Citi Bank
Armando Galeana
20+ years of experienceFounder and CEO, Ubhuru Technologies
Prashant Nair
20+ years of experienceSolution Architect | Data Scientist
Nikhil Garg
16 + years of experienceData Science Instructor
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Career Support
Simplilearn Career Assistance
Simplilearn’s Career Assist program, offered in partnership with Talent Inc, is a service to help you to be career ready for the workforce and land your dream job in U.S. markets.
One-on-one Interview Service by TopInterview
Get a Resume Makeover from TopResume
Reach numerous employers with ResumeRabbit
Complete Candidate Confidentiality Assured
Join the Data Science industry
The global Data Science Platform Market size was valued USD 95.3 billion in 2021, The market for data science platform is estimated to reach 322.9 USD billion in 2026.
28%Annual Job Growth By 2026
11.5 MExpected New Jobs For Data Science By 2026
$86K - $157KAverage Annual Salary
Companies hire Data Scientists
Batch Profile
This Post Graduation in Data Science Program is designed for working individuals from various sectors. The variety of students enriches class discussions and interactions.
- The class consists of learners from excellent organizations and diverse industriesIndustryInformation Technology - 41%Consulting - 20%Manufacturing - 8%Pharma & Healthcare - 8%BFSI - 8%Others - 15%Companies
- The class maintains an impressive diversity across work experience and rolesDesignation BreakupAssociate - 21%Midlevel - 47%Senior-level - 24%Executive - 8%Total Years of ExperienceLess than 3 years - 16%3-5 years - 15%5-8 years - 11%8+ years - 58%
- The class has learners with varied educational qualifications from excellent institutionsQualificationBachelors - 53%Masters - 29%Post Graduates - 3%Others - 15%Universities
Alumni Review
The prevalence of big data in business decisions makes this a valuable course for working professionals and executives. This comprehensive online boot camp curriculum includes Business Intelligence/ Data Analytics, Natural Language Processing, Business Analytics, and Deep Learning.
John Scott
VP of Global Finance Technology & InnovationWhat other learners are saying
Admission Details
Application Process
Candidates can apply to this Post Graduation in Data Science Program in 3 steps. Selected candidates receive an offer of admission, which is accepted by admission fee payment.
Submit Application
Tell us why you want to enroll in the Post Graduate Program in Data Science
Application Review
An admission panel will shortlist candidates based on their application
Admission
Selected candidates can start within 1-2 weeks
Eligibility Criteria
For admission to Post Graduation in Data Science, candidates should have:
Admission Fee & Financing
The admission fee for this Post Graduation in Data Science is $ 3,800. This fee covers applicable program charges and the Purdue Alumni Association membership fee.
Financing Options
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.
Total Program Fee
$ 3,800
Pay In Installments, as low as
You can pay monthly installments for Post Graduate Programs using Splitit, ClimbCredit or Klarna payment option with low APR and no hidden fees.
Apply Now
Program Benefits
- Masterclasses delivered by Purdue University and IBM
- Earn a data science program completion certificate
- Exposure to ChatGPT, GenAI, prompt engineering and more
- Alumni Association Membership from Purdue University
- Simplilearn’s Career Assistance post program completion
Program Cohorts
Next Cohort
Purdue Data Science FAQs
What are the eligibility criteria for this Professional Certificate Program in Data Science in Seattle?
For admission to this Professional Certificate Program in Data Science in Seattle, you should have:
- A bachelor's degree with an average of 50% or higher marks
- Basic understanding of programming concepts and mathematics
- Working Professionals with 2+ years of experience are preferred to apply for this program
What is the admission process for this Professional Certificate Program in Data Science in Seattle?
The admission process consists of three simple steps:
- All interested candidates are required to apply through the online application form
- An admission panel will shortlist the candidates based on their application
- An offer of admission will be made to the selected candidates and is accepted by the candidates by paying the program fee
What are the financial aids available to enroll in this Data Science certification program in Seattle?
We have partnered with Affirm to provide competitive financing options (EMI option available) including 0%APR with no hidden costs for different tenures.
Is there any financial aid provided?
To ensure money is not a barrier in the path of learning we offer various financing options to help you find this Data Science Certification Program in Seattle more financially manageable. Please refer to our “Admissions Fee and Financing” section for more details.
What should I expect from the Purdue Professional Certificate Program in Data Science in Seattle?
As a part of this Professional Certificate Program, in collaboration with IBM, you will receive the following:
- Purdue Professional Certificate Program in Data Science certification
- Industry recognized certificates from IBM and Simplilearn
- Purdue Alumni Association membership
- Lifetime access to all (the core) of the e-learning content created by Simplilearn
- $1,200 worth of IBM Cloud credits for your personal use
- Access to IBM Cloud platforms featuring IBM Watson and other cloud services
What certificate will I receive?
Upon successful completion of the program in Seattle, you will be awarded a Professional Certificate Program in Data Science certification by Purdue University. You will also get industry-recognized certificates from IBM and Simplilearn for the programs on the learning path after successful program completion.
Post Graduate Program In Data Science, Seattle
Seattle is hilly in general, though not evenly so. Like Rome, it is supposed to be built on seven hills. The Lake Washington Ship Canal joins Puget Sound & Lake Washington north of the city center. It is made up of four natural water bodies. The city has a moderate climate, with the primary climatic classification placing it in the Mediterranean zone, but some sources place it in the oceanic zone. It features cold, rainy winters and pleasant, mostly dry summers, so it has the best of all worlds.
Seattle is colder and wetter than a "real" Mediterranean climate, yet shares the typical dry summers. A PGP Data Science Certification Bootcamp in Seattle will prove to be a sensible long-term investment in your success.
Seattle is a handy, cheap, and enjoyable location where you can enjoy sports, shopping, and nature—whatever your interests are. Seattle's Southside is a buzzing neighborhood that's nestled between urban attractions and natural marvels. With a PGP Data Science Certification Bootcamp in Seattle, you can easily blend in. Some other venues include:
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