Post Graduate Program in Data Science

Data Science Course FAQs

• What makes Simplilearn-Purde University's data science program different?

  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.

• What core components are covered in the Simplilearn-Purde University data science curriculum?

  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.
  

• What are the features of the PGP in the Simplilearn-Purde University data science program?

  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.
  

• How does the prepare students for real-world applications in the US job market?

  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.
  

• Does Simplilearn-Purde offer opportunities for research and industry collaboration?

  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.

• What career paths can Simplilearn-Purde's data science program graduates pursue in the US?

  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.
  

• What are the prerequisites for SimpleLearn-Purde's postgraduate data science programs?

  To enroll in the Post Graduate Program in Data Science at Simplilearn-Purde University, candidates typically need a bachelor's degree from a recognized university. While a degree in a related field, such as computer science, mathematics, or statistics, is advantageous, it's not a strict requirement. Proficiency in programming, preferably Python or R, is strongly recommended. Additionally, a fundamental understanding of statistics and a keen interest in data-driven problem-solving are beneficial. Each application is reviewed individually, considering the candidate's academic background, work experience, and motivation to pursue a career in data science.