Supercharge your career with this high-powered Professional Certificate Program, offering Data Science certification in Austin. This program, held in partnership with IBM and Purdue University, combines case studies, theory, and hands-on practice. Earn your Data Science certification in Austin now.
Data Science certificate from Purdue, the 8th most innovative university in the US.
Dedicated course on Generative AI, Prompt Engineering, ChatGPT and more
Obtain certificates for IBM courses and get access to masterclasses by IBM
Acquire practical experience through 25+ hands-on projects and 20+ tools with integrated labs
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 Austin provides hands-on labs and projects, bringing the teaching to life. Noted experts from IBM and Purdue participate in the curriculum, where they advise and teach our students in this Data Science certification program in Austin.
|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|
|Simplilearn Career Service helps you get noticed by top hiring companies|
|Industry-relevant capstone projects in 3 domains|
|25+ hands-on projects with seamless access to integrated labs|
|Exclusive hackathons and Ask Me Anything sessions by IBM|
|8X higher engagement in live online classes by seasoned academics and industry professionals|
Post Graduate Program 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.
Embark on a carefully designed learning journey covering Generative AI, Explainable AI, prompt engineering, ChatGPT, statistics, Python, data analysis, machine learning, data visualization, and more. Elevate your data science skills and propel your career forward
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.
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.
Enroll in this course to gain practical, data-driven decision-making skills by mastering data analysis and statistics. Using the widely-used office tool, Excel, you will acquire the expertise to perform sophisticated data analytics, empowering you to make informed business decisions confidently.
Microsoft Power BI offers robust tools designed to analyze data and extract valuable business insights through interactive dashboards. This comprehensive training course on Power BI empowers you to fully harness its potential, enabling you to solve business challenges and improve operations effectively. Throughout the course, you'll learn to develop dashboards from published reports expertly, and utilize Quick Insights to discover valuable patterns rapidly.
In this course, participants will comprehensively study generative AI models, with a special emphasis on ChatGPT. The curriculum covers essential principles of generative AI, prompt engineering, explainable AI, conversational AI, ChatGPT, and other large language models.
This course helps to gain a comprehensive understanding of the R Programming language. R Programming is a vital tool for data analysis and is essential for aspiring data science professionals. This course teaches you how to write R code, explore R's data structures, and create custom functions. By the end of the course, you will be well-prepared to embark on your first data analysis project.
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Utilize Python to analyze a clothing company’s sales data for Australia, and state by state help the company make data-driven decisions for the coming year.
Create ML programs to understand different factors for employee turnover. Perform different machine learning techniques for performance, and suggest employee retention strategies.
Perform exploratory data analysis and perform cluster analysis to create cohorts of songs. The classification would help to create an efficient recommendation system.
Create an interactive Sales Dashboard for an apparel OEM in Tableau for the Sales department to use for ad-hoc analysis and reporting.
Prepare a dashboard to keep the police department and the city updated on the statistics of crime events. You are required to create a dashboard/story using Tableau.
Perform exploratory data analysis and hypothesis testing. The goal is to gain a better understanding of the various factors that contribute to customer acquisition.
Develop an e-commerce app on the Python platform that could categorize, add or remove items from the cart and support different payment options
Create a classification model using ten years of rainfall data to predict the weather for different locations across Australia
Utilize data science and machine learning methodologies. Identify fraudulent credit card transactions so that the end customers are not charged for items that they did not purchase
Disclaimer - The projects have been built leveraging real publicly available data-sets of the mentioned organizations.
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.
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.
Annual Job Growth By 2026
Expected New Jobs For Data Science By 2026
Average Annual Salary
The Post Graduate Program in Data Science is designed for working individuals from various sectors. The variety of students enriches class discussions and interactions.
Candidates can apply to Post Graduate Program in Data Science in 3 steps. Selected candidates receive an offer of admission, which is accepted by admission fee payment.
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
For admission to Post Graduate Program in Data Science, candidates should have:
The admission fee for this PG in Data Science is $ 3,999. This fee 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, Affirm, ClimbCredit or Klarna payment option with low APR and no hidden fees.
We provide the following options for one-time payment
2 Oct, 2023
28 Oct, 2023 - 9 Jun, 2024
08:30 - 12:30 CDT
Weekend (Sat - Sun)
23 Oct, 2023
16 Dec, 2023 - 25 Aug, 2024
07:30 - 11:30 CST
Weekend (Sat - Sun)
For admission to this Professional Certificate Program in Data Science in Austin, you should have:
The admission process consists of three simple steps:
We have partnered with Affirm to provide competitive financing options (EMI option available) including 0%APR with no hidden costs for different tenures.
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 Austin more financially manageable. Please refer to our “Admissions Fee and Financing” section for more details.
As a part of this Professional Certificate Program, in collaboration with IBM, you will receive the following:
Upon successful completion of the program in Austin, 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.
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 course before coming for the first class. The program will have 8-10 hours of self-paced learning content in the form of videos.
Our teaching assistants are a devoted group of subject matter experts who are here to help you pass the Data Science exam on your first try. From class onboarding through project mentorship and employment aid, they engage students proactively to ensure that the course route is followed and help you expand your learning opportunity.
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.
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||
|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|
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.
We provide email, chat, and phone help around the clock. We have a dedicated staff that provides on-demand support through our community forum. Furthermore, you will have lifelong access to the discussion forum, even when your course is completed.
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.
The Professional Certificate Program In Data Science in Austin is offered on a non-credit basis and is not transferable to a degree.
To ensure that money is not a problem for individuals, we provide a variety of funding alternatives to make this Post Graduate Program in Data Science more affordable. Please see our "Admissions Fee and Financing" section for further information.
If you want to participate in this Post Graduate Program in Data Science, you must have a bachelor's degree with a 50 percent (or above) average.
Data science studies large amounts of data using cutting-edge tools and methodologies to uncover hidden patterns, extract useful information, and make business choices.
Given the vast volumes of data created today, data science will continue to be essential for any company. As a result, both data and the need for Data Scientists will continue to increase.
The most in-demand job of the twenty-first century is Data Scientist, and for all the right reasons: the opportunity, earning potential, demand, and more. Other job oriented courses and Data Science career positions are in high order: Data Engineer, Data Architect, Data Analyst, and Business Analyst.
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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.
The field's potential is endless, and Data Science jobs provide many opportunities and high-paying incomes. Based on experience, region, and employer, India's typical Data Scientist compensation might range from Rs.1,000K to Rs.1,800K. (according to Glassdoor) The annual wage in the United States ranges from $113K to $150K. Discover other professional courses here.
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We have a specialized staff of admissions counselors that can assist you with your application for this PG in Data Science.
Yes, even after completing the PG in Data Science, you may access the course content.
It's always beneficial to learn new talents and broaden your knowledge. This PG in Data Science was created in collaboration with Purdue University and is an excellent combination of a world-renowned curriculum and industry-aligned training, making this Post Graduate Program a superb choice
Yes, even if you have no prior understanding of Data Science, you may enroll in the PG in Data Science since it will take you from the foundations to the top. You will gain all of the high fundamental Data Science abilities.
Data rules businesses all around the world. The more data-driven you are, the better off your company will be. Using data insights, you can make meaningful decisions, create strategies, and help your organization accomplish its goals faster. Enrolling in this comprehensive Data Science curriculum will undoubtedly provide you with a competitive advantage
These certifications and do not include any transcripts for WES, this is reserved only for degree programs. We do not offer sealed transcripts and hence, our programs are not applicable for WES or similar services.
Through this course, you will gain a holistic understanding of the essentials of generative AI and its landscape, prompt engineering, Explainable AI, Conversational AI, ChatGPT and other LLMs.
The key learning objectives of this course are:
Understand the fundamentals of Generative AI models, including the working principles and various Gen AI models.
Comprehend the concept of Explainable AI, recognize its significance and identify different approaches to achieve explainability in AI systems.
Apply effective prompt engineering techniques to improve the performance and control the behavior of Generative AI models.
Understand ChatGPT, including its working mechanisms, notable features and limitations.
Identify and explore diverse applications and use cases where ChatGPT can be leveraged.
Gain exposure to fine-tuning techniques to customize and optimize ChatGPT models
Recognize the ethical challenges of generative AI models and ChatGPT to ensure responsible data usage, mitigate bias and prevent misuse.
Understand the potential of Generative AI to revolutionize industries and explore prominent generative AI tools.
Gain insights into the future of Generative AI, its challenges and the steps needed to unlock its full potential.
Some of the key topics covered in the course “Essentials of Generative AI, Prompt Engineering and ChatGPT” are:
Generative AI and its Landscape
Designing and Generating Effective Prompts
Large Language Models
ChatGPT and its Applications
Ethical Considerations in Generative AI Models
Responsible Data Usage and Privacy
The Future of Generative AI
AI Technologies for Innovation
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