Post Graduate Program in Data Science

Data Science Course FAQs

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

  Professionals willing to enroll in this Post Graduate program in Data Science should hold a bachelor’s degree with an average of 50% marks or higher. They should have a basic understanding of mathematics and programming. Moreover, two years of work experience is preferred.

• What are the most common Data Science job roles?

  The most common data science job roles include data scientist, data analyst, machine learning engineer, data engineer, and business intelligence analyst. Each role has unique responsibilities, such as analyzing data, developing models, designing and maintaining databases, and providing data-driven insights to support business decisions.

• What are the essential functions and responsibilities of a Data Scientist?

  The essential functions and responsibilities of a data scientist include collecting, cleaning, and analyzing large datasets to extract insights and create predictive models. They are also responsible for visualizing and communicating their findings to stakeholders. Additionally, data scientists may collaborate with other teams to identify business problems and provide data-driven solutions. They should have strong technical skills in areas such as programming, statistics, and machine learning, as well as strong communication and problem-solving skills.

• What is the admission process for this Data Science Program?

  The admission process for this PG in Data Science 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 can I achieve from this Data Science Certification?

  As a part of this Data Science Course, you will achieve the following:

  • Caltech CTME program completion certificate
  • Receive up to 14 Continuing Education Units (CEUs) from Caltech CTME
  • Masterclasses delivered by distinguished Caltech Instructors
  • Caltech CTME Circle membership on LinkedIn
  • Online Graduation by Caltech CTME Executive Director
  • 25+ hands-on projects from the likes of Amazon, Walmart, Uber, and many more
  • Seamless access to integrated labs
  • Capstone projects in 3 domains
  • Simplilearn’s Career Assistance helps you get noticed by top hiring companies
  • Access to IBM hackathons and IBM Ask Me Anything Sessions
  • IBM certificates for IBM courses
  • 8X higher interaction in live online classes by industry experts

• Which aspects of Data Science are covered in this certification program?

  This Data Science certification program involves a number of important aspects like ensemble learning, machine learning, exploratory data analysis, descriptive statistics, inferential statistics, model building, data visualization, Python programming, and more. 

• Is there any financial assistance available for this certificate program in Data Science?

  To make sure that money isn't a problem for students' learning, we provide various funding solutions to make our data science course more reasonable. Please see our "Admissions Fee and Financing" section for further information.

• Any materials given to help start with this Data Science Certification Program?

   Once you enroll in our post-graduate program in data science, you will get access to the self-paced educational video content on our learning platform. 

• What are the qualifications of the instructors of this course, and how are they chosen?

  Our Data Science instructors are all industry specialists with years of relevant experience in the industry. Before they are qualified to train for us, they have undergone a thorough selection procedure that includes profile assessment, technical examination, and a training demo. We also ensure that only trainers with a good alumni rating stay as our instructors.

• How can I get the certificate?

  Upon successful completion of this PG program in Data Science, you will be awarded a certificate of completion by Caltech CTME, along with IBM certificates for IBM courses and industry-recognized certification from Simplilearn for courses in the learning path.

• What influence will Data Science have in 2024?

  Data science is expected to continue to play a significant role in various industries in 2024 and beyond. The increasing amount of data generated by businesses and individuals will require skilled data scientists to analyze and interpret this data to make informed decisions. Additionally, advancements in machine learning and artificial intelligence will likely drive further innovation in the field.

• Will I become alumnus of Caltech University after completing this Data Science Certificate Program?

  After completion of this Data Science Certificate Program, you will receive the Caltech CTME program completion certificate, up to 14 Continuing Education Units (CEUs) from Caltech CTME, Caltech CTME Circle membership on LinkedIn, and online graduation by Caltech CTME Executive Director.

• How will my doubts/questions be addressed in this program?

  We have a specialized staff of Data Science counselors that can assist you with your doubts about this Data Science program.

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

  To determine whether a data science course is good for you, consider your goals, background, and learning preferences. Research the course content, instructor credentials, and reviews from past students. Additionally, consider whether the course offers the necessary level of depth and practical experience for your needs. Our Advanced Data Science course fits well considering all the above factors, and you can rely on it to get a world-class training experience. 

• I don't have any tech background. Can I still apply for this Advanced Data Science Certification?

  Yes, this Advanced Data Science certification course is beginner-friendly, and even if you don’t have any technical background, you can follow the concepts easily. A basic understanding of programming and mathematics is required to make your learning easier in this program.  Our instructors also ensure that you get step-by-step guidance and learn data science from scratch. 

• Advantages of enrolling in this Post Graduate Program in Data Science?

  Caltech CTME’s PGP in Data Science is one of the most sought-after certifications created by industry specialists. 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 in business verticals like automobile manufacturing, eCommerce, retail, and telecommunications.

• Is Data Science a promising career path? Are Data Scientists in high demand?

  Indeed, data science is a promising career path with high demand. With the rise of big data, organizations need skilled data scientists to collect, clean, analyze, and interpret large amounts of data. According to the Bureau of Labor Statistics, the demand for data scientists is projected to grow much faster than average for all occupations. Additionally, data scientists are in high demand across various industries, including healthcare, finance, and technology.

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

  Yes, data science experts need to know how to code. Coding is essential for data scientists to manipulate, clean, analyze, and visualize large datasets. Additionally, coding allows data scientists to create models and algorithms that can be used to make predictions and solve business problems. While there are some tools that can automate parts of the data science process, a strong foundation in coding is crucial for success in the field.

• What is a PGP Data Science Certification?

  A PGP in data science certification is an intensive training program designed to teach participants the skills needed to become a data scientist. The program curriculum covers essential topics such as statistics, programming, visualization, data science and machine learning. They often involve hands-on projects and real-world applications to provide participants with practical experience. Upon completion, participants receive a PG certification that validates their skills and knowledge in the field.