• Admission closes on 28 May, 2024
  • Program Duration 11 months
  • Learning Format Online Bootcamp

Why Join this Program

Purdue’s Academic Excellence

Purdue’s Academic Excellence

Joint data science program certificate from Purdue University Online and Simplilearn

Gain Generative AI Mastery

Gain Generative AI Mastery

Dedicated course on generative AI, prompt engineering, LLMs, ChatGPT, and their applications

IBM’s Industry Prowess

IBM’s Industry Prowess

Obtain certificates for IBM courses and get access to masterclasses delivered by IBM experts

Hands-on Learning Approach

Hands-on Learning Approach

Practical learning through 25+ hands-on projects and 20+ tools with access to integrated labs

FOR ENTERPRISE

Looking to enroll your employees into this program ?

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
  • Simplilearn Career Service helps you get noticed by top hiring companies
  • Engage in live online masterclasses led by Purdue faculty, staff, and IBM experts
  • Exclusive hackathons and Ask Me Anything (AMA) sessions by IBM
  • Gain exposure to ChatGPT, Gemini, Keras, TensorFlow and other prominent tools
  • Interactive sessions on the latest AI trends, such as GenAI, prompt engineering, LLMs, and more
  • 3 capstones and 25+ hands-on projects from various industry domains
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
Simplilearn Career Service helps you get noticed by top hiring companies
Engage in live online masterclasses led by Purdue faculty, staff, and IBM experts
Exclusive hackathons and Ask Me Anything (AMA) sessions by IBM
Gain exposure to ChatGPT, Gemini, Keras, TensorFlow and other prominent tools
Interactive sessions on the latest AI trends, such as GenAI, prompt engineering, LLMs, and more
3 capstones and 25+ hands-on projects from various industry domains

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.

  • Purdue Certification

    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
  • IBM Certification

    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

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.

Skills Covered

  • Exploratory Data Analysis
  • Descriptive Statistics
  • Inferential Statistics
  • Model Building and Finetuning
  • Supervised and Unsupervised Learning
  • Ensemble Learning
  • Deep Learning
  • Data Visualization
  • Generative AI
  • Prompt Engineering
  • ChatGPT
  • Explainable AI
  • Machine Learning Algorithms
  • Model Training and Optimization
  • Model Evaluation and Validation
  • Natural Language Processing
  • Computer Vision
  • Reinforcement Learning
  • Speech Recognition

Tools Covered

pythonRMySQLFSDNumPySciPypandasMatPlotlibSeaborntensorflowkerasPowerBIChatGPTGeminiDalle.2Claude3Julius.aiZapier

Industry Project

  • Project 1

    Create a Virtual Assistant with Generative AI

    Develop a conversational chatbot that can engage in meaningful dialogues, answer questions, provide recommendations, and assist with tasks based on the documents provided.

  • Project 2

    Develop an Ecommerce App with Python

    Develop an e-commerce app on the Python platform that cancategorize, add or remove items from the cart and support different payment options

  • Project 3

    Build an Online Car Rental Platform

    Create an online car rental platform integrating scheduling and billing features and leveraging object-oriented programming techniques

  • Project 4

    Utilize Time Forecasting to Forecast for the Food Industry

    Use data science techniques, such as time series forecasting, to help a data analytics company forecast demand for different restaurant items.

  • Project 5

    Marketing Strategies with Exploratory Data Analysis

    Perform exploratory data analysis and hypothesis testing to better understand the various factors that contribute to customer acquisition.

  • Project 6

    Use Cluster Analysis for Song Classification

    Perform cluster analysis to create a recommended playlist of songs for users based on their user behavior.

  • Project 7

    Predicting Employee Iteration with Machine Learning

    Build a machine learning model that predicts a company's employee attrition rate by identifying patterns in their work habits and desire to stay with the company.

  • Project 8

    Utilize Deep Learning to Automate Ship Detection

    Use deep learning concepts, such as CNN, to automate a system that detects and prevents faulty situations resulting from human error and identifies the type of ships

  • Project 9

    Deep Learning models to Predict House Loan Repayment

    Create a model that predicts whether or not an applicant can repay a loan using historical data.

  • Project 10

    Facial Recognition for Healthcare Systems with Deep learning

    Leverage deep learning algorithms to develop a facial recognition feature that helps diagnose patients for genetic disorders and their variations.

  • Project 11

    Detecting Diabetics with CNN and Deploying with TensorFlow

    Use distributed training to construct a CNN model capable of detecting diabetic retinopathy and deploy it using TensorFlow Serving for an accurate diagnosis.

  • Project 12

    Employee performance Mapping

    Utilize SQL databases to map employee performance and construct reports for appraisals

  • Project 13

    Air Cargo Analysis with SQL

    Leverage SQL to generate reports using historical airline data, aiming to enhance services and improve customer experience.

Disclaimer - The projects have been built leveraging real publicly available data-sets of the mentioned organizations.

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Program Advisors and Trainers

Program Advisors

  • Patrick J. Wolfe

    Patrick J. Wolfe

    Frederick L. Hovde Dean of the College of Science at Purdue University

    Patrick 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.

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Program Trainers

  • Simon Travasoli

    Simon Travasoli

    25+ years of experience

    Senior Data Science Consultant at Citi Bank

  • Armando Galeana

    Armando Galeana

    20+ years of experience

    Founder and CEO, Ubhuru Technologies

  • Prashant Nair

    Prashant Nair

    20+ years of experience

    Solution Architect | Data Scientist

  • Nikhil Garg

    Nikhil Garg

    16 + years of experience

    Data 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

One-on-one Interview Service by TopInterview

Get a Resume Makeover from TopResume

Get a Resume Makeover from TopResume

Reach numerous employers with ResumeRabbit

Reach numerous employers with ResumeRabbit

Complete Candidate Confidentiality Assured

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.

Job Icon28%

Annual Job Growth By 2026

Source: Market Research
Job Icon11.5 M

Expected New Jobs For Data Science By 2026

Source: US bureau of Labor
Job Icon$86K - $157K

 Average Annual Salary

Source: Glassdoor

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 industries
    Industry
    Information Technology - 41%Consulting - 20%Manufacturing - 8%Pharma & Healthcare - 8%BFSI - 8%Others - 15%
    Companies
     course learners from Citigroup, Seattle
     course learners from PricewaterhouseCoopers, Seattle
     course learners from Tata Consultancy Services, Seattle
     course learners from Abbott, Seattle
     course learners from Bosch, Seattle
     course learners from GE Aviation, Seattle
     course learners from Accenture, Seattle
     course learners from Ernst & Young, Seattle
     course learners from VMware, Seattle
     course learners from Amazon, Seattle
     course learners from Nvidia, Seattle
     course learners from Dell, Seattle
  • The class maintains an impressive diversity across work experience and roles
    Designation Breakup
    Associate - 21%Midlevel - 47%Senior-level - 24%Executive - 8%
    Total Years of Experience
    Less 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 institutions
    Qualification
    Bachelors - 53%Masters - 29%Post Graduates - 3%Others - 15%
    Universities
     course learners from BITS Pilani, Seattle
     course learners from IIM Kozhikode, Seattle
     course learners from HULT International Business School, Seattle
     course learners from IIM Indore, Seattle
     course learners from IIT Bombay, Seattle
     course learners from University of Illinois at Chicago, Seattle
     course learners from McGill University, Seattle
     course learners from Oklahoma State University, Seattle
     course learners from IIT Roorkee, Seattle
     course learners from AIIMS, Seattle
     course learners from NITIE, Seattle
     course learners from Northern Illinois University, Seattle

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 & InnovationWalmart

What 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.

STEP 1

Submit Application

Tell us why you want to enroll in the Post Graduate Program in Data Science

STEP 2

Application Review

An admission panel will shortlist candidates based on their application

STEP 3

Admission

Selected candidates can start within 1-2 weeks

Eligibility Criteria

For admission to Post Graduation in Data Science, candidates should have:

2+ years of work experience preferred
A bachelor's degree with an average of 50% or higher marks
Basic understanding of programming concepts and mathematics

Admission Fee & Financing

The admission fee for this Post Graduation in Data Science is $ 4,199. 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.

Pay in Installments

You can pay monthly installments for Post Graduate Programs using Splitit, ClimbCredit or Klarna payment option with low APR and no hidden fees.

ClimbCreditKlarna

Other Payment Options

We provide the following options for one-time payment

  • Credit Card
  • Paypal

$ 4,199

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

    • Date

      Time

      Batch Type

    • Program Induction

      28 May, 2024

      08:30 CDT

    • Regular Classes

      10 Aug, 2024 - 16 Mar, 2025

      08:30 - 12:30 CDT

      Weekend (Sat - Sun)

Got questions regarding upcoming cohort dates?

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.

  • Will any preparation material be provided to get started?

    Once you make the first installment of the Data Science certification program fee, you will also get access to a preparatory program. You will have to go through the assigned program before coming for the first class. The program will have 8-10 hours of self-paced learning content in the form of videos.

  • What exactly is Global Teaching Assistance?

    Our team of skilled teaching assistants and subject matter experts is committed to guiding you to successfully master the Purdue Data Science Program on your first try. They enhance your learning journey by supporting you with class onboarding, project mentoring, and job guidance. Available during business hours, they are here to respond to your inquiries and aid you in finishing your Purdue Data Science Program.

  • What are the qualifications of the faculties, and how are they chosen?

    Our highly skilled Data Science professors are all industry specialists with years of expertise. Before they are qualified to train for us, they have undergone a thorough selection procedure that includes profile screening, technical Examination, and a training demo. We also ensure that only trainers with a high alumni rating stay on our staff.

  • How can I get the certificate?

    You will be qualified for the certificate if you meet the following minimum criteria. This certificate will attest to your abilities as a Data Science specialist.

    Course Course completion certificate Criteria
    Programming Refresher Required 85% of Online Self Paced completion
    Statistics Essential for Data Science Required
    Data Science with R Required
    1. 85% of online self-paced completion or attendance of 1 live virtual classroom,
    2. a score above 75% in the course-end assessment,
    3. and successful evaluation in at least 1 project
    Data Science with Python Required
    Machine Learning and Tableau Required
    Natural Language Processing Required
    Capstone Project Required Attendance of 1 live virtual classroom and successful completion of the capstone project

  • Who can assist if the course content is unavailable to me?

    Contact us by filling out the form on the right side of any Simplilearn page, utilizing the Live Chat option, or contacting help and support.

  • What does the 24/7 Support guarantee cover?

    Our committed team is here to assist you through email, chat, calls, and community forums. On-demand support is available to guide you through Purdue Data Science Program. Once you finish Purdue Data Science Program, you will gain lifelong access to our community forum.

  • Can I obtain a refund if I wish to discontinue my enrollment?

    If required, you can easily cancel your enrollment. After deducting an administration charge, we will reimburse the money. Please view our Refund Policy for more information.

  • * Disclaimer

    The Professional Certificate Program in Data Science in Seattle is offered on a non-credit basis and is not transferable to a degree.

  • What is the salary of a Professional Certificate Program in Data Science Specialist in Seattle?

    A PGP Data Science Specialist earns about $111188 annually in Seattle. A Professional Certificate Program in Data Science Certification in Seattle makes you a master by building skills to organize statistical and mathematical approaches on gathered data to identify and forecast underlying patterns, making informed decisions, and reducing risk resulting in cost savings.

  • What are the major companies hiring Professional Certificate Program in Data Science Specialists in Seattle?

    The demand for Data Science Specialists is increasing in Seattle. One of the highest-paying jobs is in the field of data science. With companies like Accenture, Amazon, Google, Kaskada, Bayer, and Twitter are all looking for competent individuals, having a Data Science Certification in Seattle can get you hired.

  • What are the major industries in Seattle?

    The initiatives of the OED are intended to recruit, welcome, and maintain businesses by highlighting the benefits of doing business in Seattle in manufacturing, Maritime, Ship Chefs, Life Sciences, Global Health, Information Technology, Startups, Restaurants, and Clean Technology. With Professional Certificate Program in Data Science in Seattle, you can join these industries.

  • How to become a Data Science Specialist in Seattle?

    To work as a Data Science Specialist in Seattle is simple as many sectors have embraced Data Science because of its numerous advantages and diverse range of career opportunities. Having a Professional Data Science Certification in Seattle is the first preference by professionals who aspire to work in this domain.

  • How to find a Data Science Certification programs in Seattle?

    Now that the internet has made lives so simple, all you have to do is type in Data Science Certification Program in Seattle in your browser. There will be a number of platforms to pick from, but make an informed decision and give yourself permission to start your career.

  • Will there be any materials to help you get started with this Purdue Data Science Program?

    You'll have access to a preparatory course once you pay the first installment of the fee. Before attending the first class, you must complete the prescribed learning path. The tutorials will include 8-10 hours of video-based self-paced learning content.

  • What is the admission process for this Purdue Data Science Program?

    • There are three manageable phases to the Purdue Data Science Program admission:

      • All interested applicants must apply online using the application form.

      • Candidates will be shortlisted by an admissions panel based on their application.

      • The shortlisted candidates will get an offer of admission, which they must accept by paying the fees.

  • What influence will Data Science have in 2024?

    Given the vast volumes of data created today, data science will continue to be essential for any company. As a result, the need for qualified Data Scientists will continue to increase multifold.

  • What are the essential functions and responsibilities of a Data Scientist?

    A Data Scientist identifies the business issues that need to be answered and then develops and tests new algorithms for quicker and more accurate data analytics utilizing a range of technologies such as Tableau, Python, Hive, and others. A Data Scientist also collects, integrates, and analyses data to acquire insights and reduce data issues so that strategies and prediction models may be developed.

  • What is a Data Science Professional's earning potential?

    Data Science jobs provide many opportunities for success with high-paying incomes. Based on experience, region, and employer, India's typical average Data Scientist compensation is INR 972,217 annually. (according to PayScale The average annual wage in the United States is $100,507. Discover other professional courses here.

  • What key topics are covered in the course “Essentials of Generative AI, Prompt Engineering and ChatGPT”?

    Some of the key topics covered in the course “Essentials of Generative AI, Prompt Engineering and ChatGPT” are: 

    • Generative AI and its Landscape 

    • Explainable AI 

    • Conversational AI 

    • Prompt Engineering 

    • Designing and Generating Effective Prompts 

    • Large Language Models 

    • ChatGPT and its Applications

    • Fine-tuning ChatGPT 

    • Ethical Considerations in Generative AI Models 

    • Responsible Data Usage and Privacy 

    • The Future of Generative AI 

    • AI Technologies for Innovation 

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:

  • Disclaimer
  • PMP, PMI, PMBOK, CAPM, PgMP, PfMP, ACP, PBA, RMP, SP, and OPM3 are registered marks of the Project Management Institute, Inc.