Post Graduate Program In Data Science, NYC
Ranked No.1 Data Science Certification Program by Economic Times
This Data Science certification program in New York City, in partnership with IBM and Purdue University, is a great mix of case studies, theory, and practice. Earn Data Science certification in New York City with this program and enrich your career in this rewarding and exciting field!
- Next Cohort starts 4 Jan, 2024
- Program Duration 11 months
- Learning Format Online Bootcamp
World’s #1 Online Bootcamp
Why Join this Program
Purdue’s Academic Excellence
Data Science certificate from Purdue, the 8th most innovative university in the US.
Gain Generative AI Mastery
Dedicated course on Generative AI, Prompt Engineering, ChatGPT and more
IBM’s Industry Prowess
Obtain certificates for IBM courses and get access to masterclasses by IBM
Hands-on Experience
Acquire practical experience through 25+ hands-on projects and 20+ tools with integrated labs
Post Graduation in Data Science Overview
The Professional Certificate Program in Data Science instructs students in essential, in-demand concepts and tools, including languages like Python and concepts like Machine Learning. The Data Science certification program in New York City provides hands-on labs and projects, making these concepts come alive. And you have our staff to advise and teach you in this Data Science certification program in New York City.
Key Features
- Post Graduate Data Science certificate and Purdue alumni association membership
- Generative AI and Prompt Engineering: Dedicated course with live sessions
- Learn about ChatGPT, DALL-E, Midjourney & other prominent tools
- Masterclasses delivered by Purdue faculty and IBM experts
PG in Data Science Advantage
Post Graduation in Data Science is an all-encompassing program in collaboration with Purdue University – leveraging Purdue's academic excellence in data science and Simplilearn's IBM partnership.
Partnering with Purdue University
- Receive a joint Purdue-Simplilearn certificate
- Masterclasses by Purdue faculty
- 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 with IBM leadership
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PG in Data Science Details
Embark on a carefully designed learning journey with this Post Graduation in Data Science program covering Generative AI, Explainable AI, prompt engineering, ChatGPT, statistics, Python, data analysis, ML, data visualization, and more. Elevate your data science skills and propel your career forward.
Learning Path
Get started with the Post Graduate Program in Data Science in partnership with Purdue University and explore everything about the domain. Kickstart your Data Science journey with the preparatory courses on Statistics and Programming.
- Develop a comprehensive understanding of coordinate geometry and linear algebra.
- Comprehend the concepts of eigenvalues, eigenvectors, and eigendecomposition.
- Build a strong foundation in calculus, including limits, derivatives, and integrals.
- Comprehend the differences between structured and unstructured data.
- Explore statistical measures such as means, medians, deciles, percentiles, modes, and quartiles.
- Define measures of dispersion and other statistical indicators, such as range, quartile deviation, and outliers.
- Describe mean absolute deviation (MAD), standard deviation, and variance.
- Acquire proficiency in both procedural and object-oriented programming.
- Recognize the advantages and benefits of using Python as a programming language.
- Install Python and its integrated development environment.
- Familiarize yourself with the Jupyter Notebook and its practical applications.
- Implement Python identifiers, indentations, and comments effectively.
- Understand Python's data types, operators, and string functions.
- Learn about the various types of loops in Python.
- Explore the concept of variable scope within functions.
- Explain the principles and characteristics of object-oriented programming.
- Develop a comprehensive understanding of databases and their relationships.
- Learn how to use standard query tools and work with SQL commands.
- Master transactions, table creation, and views for efficient database management.
- Comprehend and execute stored procedures to perform complex operations.
- Acquire expertise in various SQL lessons, including filtering, ordering, aliasing, aggregate commands, grouping, conditional statements, joins, subqueries, views, and indexing.
- Understand user access control functions to ensure database security.
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Create your first Python program using variables, strings, functions, loops, and conditions.
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Understand and apply concepts related to lists, sets, dictionaries, conditions, branching, objects, and classes in Python.
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Utilize the Pandas library to load, manipulate, and save data and read and write files in Python.
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- Explore the processes of data preparation, model building, and evaluation.
- Develop a strong understanding of NumPy and its applications, including array indexing and slicing techniques.
- Gain a clear understanding of statistical concepts like skewness, covariance, and correlation.
- Examine different hypothesis tests, including Z-test, T-test, and ANOVA.
- Work with pandas' two primary data structures: Series and DataFrame.
- Utilize pandas for data loading, indexing, reindexing, and data merging.
- Create compelling visualizations using Matplotlib, Seaborn, Plotly, and Bokeh.
- Analyze the machine learning pipeline and gain a comprehensive understanding of essential operations involved in machine learning operations (MLOps).
- Explore supervised learning and unsupervised learning methods.
- Analyze different regression models and identify their suitability for specific scenarios.
- Identify linearity between variables and create correlation maps.
- Examine different ensemble modeling techniques, such as bagging, boosting, and stacking.
- Evaluate and compare different machine learning frameworks, including TensorFlow and Keras.
- Build a recommendation engine using PyTorch.
- Acquire expertise in various visualization techniques, such as heat maps, treemaps, waterfall charts, and Pareto charts.
- Skillfully work with filters, parameters, and sets to manipulate data effectively.
- Become proficient in utilizing special field types and Tableau-generated fields and creating and employing parameters.
- Learn how to construct different charts, interactive dashboards, and captivating story interfaces.
- Gain proficiency in data blending, creating extracts, and efficiently organizing and formatting data.
- Master various calculations, including arithmetic, logical, table, and level of detail (LOD) expressions.
The data science capstone project provides a valuable opportunity to apply the skills you have acquired during this program. With the guidance of dedicated mentors, you will address a real-world data science problem aligned with industry standards. This comprehensive project covers data processing, model building, and reporting business results and insights. It is the final step in your learning journey and enables you to demonstrate your Data Science expertise to potential employers.
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.
- Understand the meaning of business analytics and its importance in the industry
- Grasp the fundamentals of Excel analytics functions and conditional formatting
- Learn how to analyze complex data sets using pivot tables and slicers
- Apply statistical tools and concepts such as moving averages, hypothesis testing, ANOVA, and regression to data sets using Excel
- Represent your findings using charts and dashboards
- Learn to analyze data and extract valuable business insights using Microsoft Power BI.
- Create interactive dashboards
- Gain skills to use Power BI to address and solve various business challenges
- Improve operational efficiency and effectiveness
- Learn how to develop dashboards from published reports.
- The course covers using Quick Insights to discover valuable patterns in data rapidly.
- The course provides valuable troubleshooting techniques
- 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.
- 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
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
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
Learner Reviews
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 do Post Graduation 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 $ 3,999. 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.
Other Payment Options
We provide the following options for one-time payment
- Credit Card
- Paypal
$ 3,999
Apply Now
Program Benefits
- Masterclasses delivered by Purdue and IBM
- Earn program completion certificate
- Exposure to ChatGPT, Generative AI, Explainable AI and more
- Alumni Association Membership from Purdue University
- Simplilearn’s Career Assistance post program completion
Program Cohorts
Next Cohort
Post Graduation in Data Science FAQs
What are the eligibility criteria for this Professional Certificate Program in Data Science in NYC?
For admission to this Professional Certificate Program in Data Science in NYC, 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 NYC?
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 NYC?
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 NYC 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 NYC?
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 is the salary of a Data Science Expert in NYC?
The typical average salary that one can earn on completing the Data Science certification program in NYC is $104376. SQL, critical thinking, and fluid communication are the core talents demanded of a Data Science Expert. By consistently sharpening the necessary skills and working continuously, one may become a highly compensated Data Science Expert in New York.
Post Graduate Program In Data Science, NYC
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