Post Graduate Program In Data Science, Austin

Post Graduation in Data Science FAQs

• What are the eligibility criteria for this Professional Certificate Program in Data Science in Austin?

  For admission to this Professional Certificate Program in Data Science in Austin, 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 Austin?

  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 Austin?

  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 Austin 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 Austin?

  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 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.

• 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 course 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 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.

• 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

• Who can assist me 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?

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

• Is there any financial assistance available for this Post Graduation in Data Science?

  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.

• Is there a minimal educational need to be considered for this Post Graduation in Data Science?

  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.

• 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 2023?

  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.

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• 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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• 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 PG in Data Science.

• Will I be able to access the content after completion of the PG in Data Science?

  Yes, even after completing the PG in Data Science, you may access the course content.

• How to know whether this PG in Data Science is good for me?

  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

• Is it possible to sign up in this PG in Data Science 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 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.

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

  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

• 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