Program certificate from Purdue University and Simplilearn
Become eligible for a membership at the Purdue University Alumni Association
Dedicated course on Generative AI, Prompt Engineering, ChatGPT and more
Gain exposure to ChatGPT, DALL-E, Midjourney & other prominent tools.
Apply concepts with 20+ real-world projects associated to multiple industry verticals
8X higher live interaction with capstone projects in 3 domains
Strengthen your resume and get career guidance from industry specialists
Attend mock interview sessions to help you ace the hard technical questions
A specialist who gathers massive data sets using analytical, statistical, and programming skills. They create data-driven solutions that are specifically adapted to an organization's requirements.
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.
This course aims to provide a solid mathematical and statistical principles foundation, fostering critical thinking and problem-solving skills. By the course's conclusion, learners will possess the necessary tools to analyze data, make informed decisions, and apply mathematical and statistical techniques in practical situations relevant to their respective industries. It serves as the initial step in your program journey.
In this course, you will develop essential Python skills that are a crucial foundation for your progress throughout the program.
Enroll in this course to acquire essential knowledge for effectively working with SQL databases and leveraging them in your applications. Throughout the course, you will gain a solid understanding of SQL statements, conditional statements, commands, joins, subqueries, and various functions, empowering you to manage your SQL database for scalable growth proficiently.
The course provides students with the necessary skills to leverage Python for data science. By the course's conclusion, participants will be proficient in writing Python scripts and performing hands-on data analysis using a Jupyter-based lab environment.
This course comprehensively explores data science essentials, covering data preparation, model building, and evaluation. Participants will delve into fundamental Python concepts, including strings, Lambda functions, and lists. Additionally, they will gain proficiency in essential topics such as NumPy, linear algebra, and statistical concepts, which include measures of central tendency and dispersion, skewness, covariance, and correlation.
This course comprehensively explores diverse machine learning types and their practical applications. Participants will gain insights into the machine learning pipeline, delving into supervised learning, regression models, and classification algorithms. Additionally, the course covers unsupervised learning, clustering techniques, and ensemble modeling. Participants will also evaluate well-known machine learning frameworks like TensorFlow and Keras.
This Tableau course and unlock a comprehensive understanding of creating captivating visualizations, optimizing data organization, and designing informative charts and dashboards to facilitate astute business decisions. Throughout the program, you'll delve into data visualization concepts, gain proficiency in crafting diverse combo charts and stories, and learn to work adeptly with filters, parameters, and sets. Additionally, you'll master the art of constructing interactive dashboards.
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.
Pay in Installments
As low asYou can pay monthly installments using Affirm, Splitit, Climb Credit and Klarna.These plans are offered with low APR and no hidden fees.
Tell us why you want to do Post Graduate Program in Data Science
An admission panel will shortlist candidates based on their application
Selected candidates can start within 1-2 weeks
The Data Science course program at Purdue University distinguishes itself from other online courses through its comprehensive curriculum and real-world project experience. This program is designed to help students master data science tools and techniques, including statistics, Python, machine learning, data visualization, and more. Additionally, Purdue's program uniquely offers career support services to help students transition into a Data Science career, an engaging learning experience with live interactive classes and a dedicated team of student success and career services to ensure students' progress.
The core components of the Simplilearn-Purde University data science curriculum include a strong foundation in statistics, machine learning, Python programming, and big data analytics. Additionally, the course emphasizes effective data visualization and predictive analytics. The program also incorporates real-world project experience and an emphasis on mastering data science tools and techniques, all geared towards enhancing the practical skills essential for a career in this burgeoning field.
Some of the Simplilearn-Purde University Data Science program features include a dedicated course on generative AI and prompt engineering; practical exposure to top-gen AI tools like ChatGPT, DALL-E, Midjourney, and more; over 20 real-world, industry-relevant projects, and a capstone project in three domains; resume assistance and mock interviews; and much more.
The real-world projects in Simplilearn-Purde University's Post Graduate Program (PGP) in Data Science are designed to provide hands-on experience by integrating real industry problems. One example is a project on predictive analytics, where students are asked to analyze large datasets to forecast future trends and improve business decision-making. Another project could involve machine learning, tasking students to develop algorithms to learn from and make data-based decisions, mimicking human intelligence. These projects help solidify the theoretical concepts learned in the program and provide practical experience in data-driven problem-solving and decision-making, thereby equipping the students with skills directly applicable to their future careers.
Simplilearn-Purde's Post Graduate Program (PGP) in Data Science encourages research and industry collaboration. The curriculum incorporates real-world projects that tackle industry problems, allowing students to apply their knowledge and skills in real-life situations. These projects and the program's emphasis on data-driven decision-making and problem-solving pave the way for meaningful industry collaborations and research opportunities.
Graduates of Simplilearn-Purde's data science programs are equipped with the skills to pursue various career paths in the US. With the rapid digitization of industries, data science professionals are in high demand in the technology, healthcare, finance, and retail sectors. Possible roles include Data Scientist, Data Analyst, Machine Learning Engineer, Business Intelligence Analyst, and Data Engineer. Their expertise in handling and interpreting complex datasets can also pave the way for more strategic roles, such as Data Strategist or Chief Data Officer in organizations.
Purdue University is a top public research institution developing practical solutions to today’s toughest challenges. Ranked in each of the last four years as one of the 10 Most Innovative Universities in the United States by U.S. News & World Report, Purdue delivers world-changing research and discovery.
Purdue offers a transformative education to all, led by some of the top professors in the world, to empower students to move the world forward. See how Purdue never stops in the persistent pursuit of the next giant leap at https://purdue.edu/