Post Graduate Program In Data Analytics, Austin

Data Analytics Certification Course FAQs

• What are the eligibility criteria for this Post Graduate Program in Data Analytics in Austin?

  For admission to this Post Graduate Program in Data Analytics in Austin, candidates:

  • Should have a bachelor's degree in any discipline with an average of 50% or higher marks
  • With a non-programming background can also apply
  • Having prior work experience is not mandatory

• I don't have any prior knowledge in programming, can I make a career in Data Analytics in Austin?

  Yes. This Post Graduate Program in Data Analytics in Austin will teach you the fundamentals of programming languages, statistics, and industry standard techniques from scratch to build up your foundational knowledge and enhance your analytics career journey.

• What is the admission process for this Post Graduate Program in Data Analytics 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 Analytics Course?

  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 make this data analytics certification course in Austin more financially manageable. Please refer to our “Admissions Fee and Financing” section for more details.

• What should I expect from the Purdue Post Graduate Program in Data Analytics in Austin?

  As a part of this Post Graduate Program, in collaboration with IBM, you will receive the following:

  • Purdue Post Graduate Program certification
  • Industry recognized certificates from IBM and Simplilearn
  • Purdue Alumni Association membership
  • Lifetime access to all core eLearning content created by Simplilearn 
  • $1,200 worth of IBM Cloud credits for your personal use

• What certificate will I receive?

  Upon successful completion of this program in Austin, you will be awarded a Post Graduate Program in Data Analytics certification by Purdue University. You will also receive industry-recognized certificates from IBM and Simplilearn for the courses on the learning path after successful course completion.

• Will any preparation material be provided to get started in this Data Analytics Course?

  Once you make the first installment of the fee, you will be given access to a preparatory program with eight to 10 hours of self-paced learning content in the form of videos. You will have to go through the assigned program before attending the first class.

• What is Global Teaching Assistance?

  Our teaching assistants are a dedicated team of subject matter experts here to help you get Post Graduate Program Certificate in Data Analytics on your first attempt. They engage students proactively to assure the course path is followed and to help you enrich the learning experience, from class onboarding to project mentoring and job assistance.

• Who are the instructors for this Data Analytics Course and how are they selected?

  All of our highly qualified Data Analytics instructors are Business Intelligence experts with years of relevant industry experience. Each of them has gone through a rigorous selection process that includes profile screening, technical evaluation, and a training demo before they are certified to train for us. We also ensure that only those trainers with a high alumni rating remain part of our faculty.

• How do I earn the Post Graduate Program certificate in Data Analytics?

  Upon completion of the following minimum requirements, you will be eligible to receive the certificate that will testify to your skills as an expert in Data Analytics.

  Course	Course completion certificate	Criteria
  Introduction to Data Analytics	Required	85% of online self-paced completion
  Statistics Essentials	Required
  SQL Training	Required
  R programming  for Data Science	Required
  Data Science with R	Required	1. 85% of online self-paced completion or attendance of one live virtual classroom, 2. A score above 75% in the course-end assessment 3. And successful evaluation in at least one project
  Tableau Training	Required
  Analytics and Programming Foundation	Required	1. Attendance of one live virtual classroom, 2. A score above 75% in the course-end assessment 3. And successful evaluation in at least one project
  Data Analytics with Python	Required
  Data Analyst Capstone	Required	Attendance of one live virtual classroom and successful completion of the capstone project

• I am not able to access the Data Analytics Course. Who can help me?

  Contact us using the form on the right side of any page on the Simplilearn website, select the Live Chat link, or contact help and support.

• What is covered under the 24/7 Support promise?

  We offer 24/7 support through email, chat, and calls. We have a dedicated team that provides on-demand assistance through our community forum. What’s more, you will have lifetime access to the community forum, even after completion of your Data Analytics Course.

• If I want to cancel my enrollment from this Data Analytics Course, can I get a refund?

  Yes, you can cancel your enrollment if necessary. We will refund the program price after deducting an administration fee. To learn more, you can view our Refund Policy.

• * Disclaimer

  This Post Graduate Program in Data Analytics in Austin is offered on a non-credit basis and is not transferable to a degree.

• What is Data Analytics?

  Just about everything is data-driven these days, from market research and sales figures to expenses and logistics. To most people, this information can be overwhelming and daunting. It can be difficult and time-consuming to sort through it all and know what’s important, what isn’t, and what it all means. This is where Data Analysts come into the picture: they take this information and do thorough data analysis and turn it into useful information for businesses, which allows them to make more informed decisions in the future.

• Does Data Analytics require coding?

  Though not mandatory, it is beneficial to have basic coding skills when you are seeking a Data Analysis jobs. This Data Analytics Course covers everything you require to become eligible for this job role.

• What are the basics of Data Analytics?

  The aim of Data Analysts is to extract meaningful insights from raw data. For this, they need to be well-versed in using Data Analytics basics concepts like statistics, data mining, core math, and machine learning models. Simplilearn’s Data Analytics Course covers all these concepts in detail to master in data analytics.

• What is required to learn Data Analytics?

  When you start learning data analytics, you should be familiar with statistics, core math concepts, programming basics (Python(to excel in the field of data analytics with python, R, or Java), and Linux fundamentals. A bachelor's degree in mathematics, statistics, computer science, or related fields is also beneficial to easily grasp the concepts of data analytics. Our Data Analytics Course helps you learn data analysis online from scratch.

  Unleash Your Potential: Find an Abundance of data management certifications.

• How long does it take to learn Data Analysis?

  The time taken to learn data analytics varies from person to person. It depends on your dedication to studying, prior knowledge of the field, and work experience in data analytics. While some of the concepts may take a few days, others may take a couple of months to grasp. When you take our Data Analytics Course, you should apply the concepts you learned to real-world use cases to gain practical exposure and reinforce your learning.

• What is the salary potential of a Data Analytics Professional?

  The average annual Data Analyst job salary is over $61,000 per year.

• How do I know if the Data Analytics is right for me?

  Learning new skills and expanding your knowledge is always a plus point. This Data Analytics Course is developed in collaboration with Purdue University, a perfect blend of world-renowned curriculum and industry-aligned training, which makes the Data Analytics Course just the right one for you!

• Is there any minimum education qualification required to apply for this Data Analytics Course?

  Yes, you are supposed to have a bachelor’s degree with an average of 50% (or higher) if you wish to enroll in this Data Analytics Course.

• Will I become an alumni of Purdue University after completion of the Data Analytics Course?

  You will get eligibility for Purdue Alumni Association Membership after completing the Data Analytics Course.

• What are the top modules included in this Data Analytics Course?

  You’ll find the best-in-class modules covered in this Data Analytics Course. The list includes:

  • Analytics and Programming Foundation
  • Data Analytics with Python
  • R Programming for Data Science
  • Data Science with R
  • Tableau
  • Data Analyst Capstone

• What tools and languages do we learn in this Data Analytics Course?

  With the growing popularity of data analytics, several tools have been thought in this Data Analytics Course. Some of the important Data Analytics tools that provide various advanced features include Tableau, Power BI, SAS, QlikView, RapidMiner, and MS Excel.

• Is this Data Analytics Course taught online? Do I need to attend any physical classroom sessions?

  This Data Analytics Course is completely online. You can access the Data Analytics Course material anytime and anywhere with a computer or smartphone connected to the internet.

• How will my doubts/questions be addressed in this Data Analytics Course?

  We have a team of dedicated admissions counselors who can guide you as you apply for this Data Analytics Course.

• Do I need to follow the mentioned learning path for this Data Analytics Course?

  We highly recommend that you follow the Data Analytics Course curriculum in the same order as listed in the learning path as the initial concepts are used in lessons that follow it.

• Will I be able to access the content after completion of the Data Analytics Course?

  Yes, you can access the course content even after the completion of the Data Analytics Course.

• My current role does not include exposure to data. Does it make sense for me to opt for this Data Analytics Course?

  Data is ruling businesses around the world. The more data-driven you’re, the more beneficial it is for your organization. By taking insights from data, you can make meaningful decisions, plan strategies, and help your business achieve its goal faster. Enrolling in this extensive Data Analytics Course is definitely going to be an advantage, and nothing less.

• I am not from a technical background. Can I still join this Data Analytics Course?

  Yes, you can join Data Analytics Course even if you do not belong to a technical background. However, having a basic knowledge of programming languages and mathematics will be beneficial.

• Can I enroll in a Data Analytics Course if I don't have any prior knowledge in Data Analysis?

  Yes, you can enroll in the Data Analytics Course even if you don’t have any prior knowledge since this course will take you through the fundamentals to the top of the ladder, where you learn all the advanced critical Data Analytics skills.

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

  These do not include any transcripts for WES, this is reserved only for degree. We do not offer sealed transcripts and hence, our certificates are not applicable for WES or similar services.

• What are the benefits of this Generative AI Masterclass?

  These masterclasses are delivered in the form of live virtual sessions by experienced industry experts. This delves deep into the world of AI-powered creativity, helping you understand multiple concepts & topics related to generative AI such as effective prompt engineering, ethical considerations in GenAI, and much more. 

  You will gain exposure to the world of Gen AI, some of its practical applications, some of the latest advancements in the field and much more - thus setting you apart from your competitors and helping you stay ahead in your career.