Ranked No.1 Data Science Program by Economic Times

Purdue Data Science FAQs

• What is the eligibility criteria for this Purdue Data Science Program?

  • This Purdue Data Science Program requires the following qualifications:

    • A bachelor's degree with a 50% or above grade point average.

    • Understanding basic programming principles and mathematics is required.

    • Working professionals with at least two years of experience are recommended for Purdue Data Science Program.

• 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 are the financial aids available to enroll in this Purdue Data Science Program?

  We have partnered with Affirm to provide competitive financing options(EMI option available) 

• Which courses are the most important in this Purdue Data Science Program?

  This Purdue Data Science Program walks you through learning all the fundamentals from the ground up. The following modules make up the complete syllabus:

  • R Programming for Data Science
  • Data Science with R
  • Python for Data Science
  • Data Science with Python
  • Machine Learning
  • Natural Language Processing
  • Tableau Training
  • Data Science Capstone

• Is there a minimal educational need to be considered for this Purdue Data Science Program?

  If you want to participate in this Purdue Data Science Program, you must have a bachelor's degree with a 50 percent (or above) average.

• What does Data Science entail?

  Data science studies large amounts of data using cutting-edge tools and methodologies to uncover hidden patterns, extract useful information, and make business choices.

• 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, both data and the need for Data Scientists will continue to increase.

• What are the most common Data Science job roles?

  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

• 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?

  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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• What can I achieve from this Purdue Data Science Program?

  You will receive the following as part of this Purdue Data Science Program, which is offered in conjunction with IBM:

  • Simplilearn-Purdue University Joint Certificate.

  • Industry-recognized certificates from IBM (for IBM courses) and Simplilearn

  • Purdue Alumni Association membership eligibility

  • Lifetime access to all (the core) of the e-learning content created by Simplilearn

• Will I become an alumni of Purdue University after completion of this Purdue Data Science Program?

  Yes, after completing this Purdue Data Science Program, you will be eligible for membership in the Purdue Alumni Association

• After finishing the Purdue Data Science Program, what credential will I receive?

  Simplilearn and Purdue University will grant you a joint certification upon completing the Purdue Data Science Program. After completing the courses on the learning route, you will get industry-recognized credentials from IBM and Simplilearn.

• 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 exactly is Global Teaching Assistance?

  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.

• How will my doubts/questions be addressed in the admission process?

  We have a specialized staff of admissions counselors that can assist you with your application for this 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	85% of online self-paced completion or attendance of 1 live virtual classroom, a score above 75% in the course-end assessment, 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

• Will I be able to access the content after completion of the Purdue Data Science Program?

  Yes, even after completing the Purdue Data Science Program, you may access the course content.

• How to know whether this Purdue Data Science Program is good for me?

  It's always beneficial to learn new talents and broaden your knowledge. This Purdue Data Science Program 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

• I don't have any technical background. Can I still apply to this Purdue Data Science Program?

  Yes, even if you have no technical expertise, you may enroll in the Purdue Data Science Program. A rudimentary understanding of programming languages and mathematics, on the other hand, will be advantageous.

• Is it possible to sign up in this Purdue Data Science Program if I have no prior experience with the subject?

  Yes, even if you have no prior understanding of Data Science, you may enroll in the Purdue Data Science Program since it will take you from the foundations to the top. You will gain all of the high fundamental Data Science abilities.

• My present position does not need me to work with data. Is it logical for me to pursue this Purdue Data Science Program?

  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

• What does the 24/7 Support guarantee cover?

  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.

• 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 Purdue Data Science Program is offered on a non-credit basis and is not transferable to a degree

• What are the advantages of enrolling in this Purdue Data Science Program?

  One of the most sought-after certifications created by industry specialists is Simplilearn's Data Science curriculum with Purdue University. This training will help you stand out from the crowd and get the attention of top employers. The curriculum provides a great mix of theoretical understanding and hands-on experience. It includes unique hackathons and project-based learning with Amazon, Uber, and Comcast datasets.

• Is there a particular order in which I should master these modules?

  The curriculum for our Purdue Data Science Program was rigorously crafted by prominent industry professionals and faculty members, taking into account all of the necessary skills and concepts for a successful data science career. It would be best to learn the modules in the sequence listed in the learning path because the material builds on introductory courses.

• What are the main tasks and functions of a Data Science Expert?

  Data scientists are in charge of analyzing massive volumes of data to visualize hidden trends and patterns and develop valuable conclusions. Solving significant business challenges and making educated decisions are aided by such insights. To build or reveal meaningful connections in raw data, data scientists must use exploratory data analysis, statistical modeling, and machine learning techniques. This Purdue Data Science Program curriculum may assist you with developing the required abilities to handle all of these obligations.

• What is the income of a Data Science Expert?

  Because of the scarcity of expertise in space, corporations worldwide are willing to pay more for highly trained data scientists. Certificates, obtained through Simplilearn's Purdue Data Science Program, enhance salary potential. The following are some average yearly wages for data scientists in various countries:

  • India - INR 708,012
  • US - $96,106
  • Canada - C$80,394
  • Singapore - SGD93,000
  • Australia - A$116K
  • UK - £50,585

• Is Data Science a promising career path? Are Data Scientists in High Demand?

  Data science is undoubtedly a tremendous professional path with various potential progression chances. Data science positions are in high demand and pay well. Indeed, according to certain Linkedin studies, the Data Scientist is the "most promising career," while Glassdoor calls it the "greatest job in America." Our Purdue Data Science Program will provide you with all of the necessary skills for a successful data science profession.

• Do Data Science Experts need to know how to code?

  Programming is an essential aspect of data science. For data science projects, scripting and mathematics are crucial ideas. Gaining foundational knowledge or job experience in the domains mentioned above is strongly recommended for applicants interested in a data science profession. Python and R are widely used programming languages in data research. Our Data Science curriculum will simplify your learning of programming languages.

• Are there any refresher courses included in this Purdue Data Science Program?

  To get you started, here are some refresher courses for the Purdue Data Science Program:

  • Mathematical Refresher for Statistics

  • Statistics Essential For Data Science

  • Programming Refresher

• What additional courses in the Data Science and Artificial Intelligence domain Simplilearn offer?

  Simplilearn provides the following courses in the Data Science and AI domain:

  Courses:

  • AI and ML Courses
  • Deep Learning Course with Tensorflow Certification
  • Tableau Certification Course
  • Power BI Certification

  Master's:

  • AI Engineer
  • Data Scientist
  • Data Analyst

• Can I get a sealed transcript for World Education Services (WES) at the end?

  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.

• What are the key learning outcomes of the course “Essentials of Generative AI, Prompt Engineering and ChatGPT?

  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.

• 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