Data Scientist

FAQs

• What is Data Science course?

  Data Science is a broad field, and you need to learn about so many concepts if you are a beginner. A Data Science course is a training program of around six to twelve months, often taken by industry experts to help candidates build a strong foundation in the field. Apart from the theoretical material, our online Data Science certification course includes virtual labs, industry projects, interactive quizzes, and practice tests, giving you an enhanced learning experience.

• How do I become a Data Scientist?

  This Data Science course in NYC co-developed with IBM will give you an insight into Data Science tools and methodologies, which is enough to prepare you to excel in your next role as a Data Scientist. You will earn an industry-recognized certificate from IBM and Simplilearn that will attest to your new skills and on-the-job expertise. The program will train you on R and Python, Machine Learning techniques, data reprocessing, regression, clustering, data analytics with SAS, data visualization with Tableau, and an overview of the Hadoop ecosystem.

• What can I expect from this Simplilearn Data Science course developed in collaboration with IBM?

  As a part of this Data Science training in NYC, in collaboration with IBM, you will receive the following:

  • Lifetime access to e-learning course syllabus for all of the Data Science courses included in the learning path (*only for Simplilearn courses)
  • Industry-recognized certificates from IBM*(for IBM courses) and Simplilearn upon successful completion of the program
  • USD 1200 worth of IBM cloud credits that you can leverage for hands-on exposure
  • Access to IBM cloud platforms featuring IBM Watson and other software for 24/7 practice

• How do I enroll for the Data Scientist course in NYC?

  You can enroll in this Data Science training in NYC on our website and make an online payment using any of the following options:

  • Visa Credit or Debit Card
  • MasterCard
  • American Express
  • Diner’s Club
  • PayPal

  Once payment is received you will automatically receive a payment receipt and access information via email.

• What is Data Science?

  Data science is a broad field that involves dealing with large volumes of data to uncover hidden trends and patterns and extract valuable information that aids in better decision-making. As companies are collecting massive amounts of data, they use various data science tools and techniques to build predictive models. Simplilearn’s data science training can help you learn all of its concepts from scratch.

• Who is a Data Scientist?

  A Data Scientist is an individual who gathers, cleans, analyzes, and visualizes large datasets to draw meaningful conclusions and communicate them to the business leaders. The data is collected from various sources, processed into a format suitable for analysis, and fed into an analytics system where a statistical analysis is performed to gain actionable insights.

• Why Get Certified as a Data Scientist?

  A question that I often hear from clients and colleagues is, "Why should I get a data scientist certification?"  That is a fair question for most other areas of study and business. In areas such as finance or engineering, there are far more important accreditations you could and should achieve before “hanging your shingle” or trying to retool your skill set or career.

  Data science is a broad discipline with a few accredited degree programs. However, many of those programs are cost-prohibitive. 

  “There are at least 50 data science degree programs by universities worldwide offering diplomas in this discipline,” writes data science blogger, Zeeshan Usman. “It costs from $50,000 to $270,000 and takes one to four years of your life.”

  And although somewhat new in the nomenclature, data science encompasses many skills that professionals may already have acquired through work or educational experience such as:

  • Programming
  • Statistics and statistical modeling: Descriptive, diagnostic, inferential, predictive, prescriptive
  • Data visualization: Box plots, scatter plots, and more
  • Machine Learning and modeling: Regression classification, clustering, and more.

  Data scientists also need to have an understanding of and exposure to reproducibility, decision-making and working with stakeholders and executives. So attaining a second (or third) degree may not be the best option for professionals looking to break into data science. Yet to be successful, they still need to communicate their experience, skills and acquired knowledge to prospective employers.

  A Fresh Perspective 

  Put yourself in the position of a hiring manager; say her name is Paula. Paula has a couple of full-time openings for a data scientist. She has done a lot of research and has decided to hire at an entry-level. The person she hires will need to work with her and her staff of data scientists, business analysts, data analysts, and business intelligence developers.

  She has a stack of resumes to read through and she has several questions that need to be answered before she decides to set up phone interviews. However, Paula knows that curriculum vitae (CV) often do not align with the skills and experience needed for a data science position. She may see many CVs from college graduates, she may see many resumes from men and women with several years of work experience but without any practical data science experience. But since this is an entry-level position, she will likely not see any applicants with real knowledge in the field of data science.

  So what should Paula focus on? How should she shortlist applicants for the phone interview? How can Paula know which of the applicants has a real, proven commitment to becoming a data scientist? She may very well focus on the resumes that list certifications along with any pertinent business experience! And if those certification programs have compulsory projects to complete, that’s even better. You can begin to build your portfolio of data science projects before ever landing a job. 

  Data science is a fast-growing field. According to an article by Forbes, IBM predicts the demand for data scientists will grow by over 25 percent by 2020.  Budding data scientists need to get their resumes and CVs out there as soon as is practicable, but they still need to gain valuable experience with those data science skills mentioned above.  Certifications are the quickest way to learn and hone the skills and techniques necessary to land that first data science job.

  Furthermore, Data Science certifications allow students to learn and hone the skills that won’t normally be acquired through work experiences, such as exploratory analysis skills, visualization skills, and data mining/machine learning algorithms.

  So get your certifications in R, Python, and SQL. Or learn Hadoop or Apache Spark. Take some statistics courses. Practice everything you learn, every day.

• Will this course help me to learn Data Science from scratch?

  Professionals who do not have any prior knowledge of the field can easily begin with this Data Scientist certification Master’s program as you’ll gain a thorough knowledge of the basic concepts as well.

• Can I pursue a Data Science course after my graduation?

  Yes, this Data Science course is suitable for recent graduates as well as experienced professionals who are willing to start a career in data science. There are no specific eligibility requirements to take this course.

• What is the total duration of this Data Science course?

  The Data Science course can be completed in around six months if you dedicate a few hours daily to learning.

• What are the top online Data Science courses provided in this Master's program?

  This comprehensive Data Scientist Master’s program incorporates the following Data Science courses:

  • Data Science with R Programming

  • Data Science with Python

  • Machine Learning

  • Tableau

  • Big Data Hadoop and Spark Developer

  • Data Science Capstone

• How can I become eligible for this Data Science course?

  Whatever your educational background, if you have an analytical mindset and are willing to step into the world of data science, you are eligible for this Data Science course.

• How many programming languages will I learn in this Data Science course?

  This Data Science certification training will familiarize you with programming languages like Python, R, and Scala, as well as data science tools like Apache Spark, HBase, Sqoop, Hadoop, and Flume.

• How will I receive Data Science course material after joining?

  After you complete the payment, you will get notified of your successful enrollment through email. It will give you all the details regarding how to access the Data Science course material. Following the steps, you can go through the video lessons instantly.

• Is Data Science a good career?

  Companies are embracing digital transformation and the growing dependency on data makes a career in data science quite promising. Businesses are accelerating their digital initiatives and data science skills will remain in high demand in the near future. Moreover, with the existing skills gap, companies are even ready to pay higher salaries to data scientists. With Simplilearn’s Data Scientist course, you can qualify for this rewarding career.

• Is Data Science easy?

  Data science is a vast field and people cannot gain expertise in it within six months or a year. Learning data science requires specialized technical skills along with knowledge of programming basics and analytics tools to get started. However, this Data Science course explains all of the relevant concepts from scratch, so you will find it easy to put your new skills to use.

• What are the important features of Simplilearn's Data Science course?

  Simplilearn’s Data Science course is unique because of the following major features:

  • It offers more than 220 hours of interactive, live learning
  • There are capstones and over 15 real-world projects involving datasets from Amazon, Comcast, and Uber
  • It offers IIMJobs Pro Membership (India only) for six months to help you build a resume and prepare for interviews
  • You can participate in exclusive hackathons and interact with IBM experts

• *For which all courses will I get certificates from IBM?

  Following are the list of Data Science courses for which you will get IBM certificates:

  • R Programming for Data Science
  • Python for Data Science

• How long is this Data Science certification valid?

  The course completion certificate offered after completing this Data Scientist Master’s Program does not expire.

• How do I earn the Master’s certificate?

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

   

  Course	Course completion certificate	Criteria
  Data Science with Python	Required	85% of Online Self-paced completion or attendance of 1 Live Virtual Classroom, and score above 60% in course-end assessment and successful evaluation in at least 1 project
  Machine Learning	Required	85% of Online Self-paced completion or attendance of 1 Live Virtual Classroom, and successful evaluation in at least 1 project,
  Deep Learning with Keras and TensorFlow	Required	Attend 1 Live Virtual Classroom and successful evaluation in at least 1 project and score 70% for course-end assesment.
  Tableau Training	Required	85% of Online Self-paced completion or attendance of 1 Live Virtual Classroom, and successful evaluation in at least 1 project
  Capstone Project	Required	Attendance of 1 Live Virtual Classroom and successful completion of the capstone project

• If I need to cancel my enrollment, can I get a refund?

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

• I am not able to access the online Data Science courses. Who can help me?

  Contact us using the form on the right of any page on the Simplilearn website, select the Live Chat link, or contact Help & Support.

• Do you provide a money back guarantee for the training programs?

  Yes, we do offer a money-back guarantee for many of our training programs. Refer to our Refund Policy and submit refund requests via our Help and Support portal.

• Who are the instructors and how are they selected?

  All of our highly qualified Data Science trainers are industry 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 on our faculty.

• What is Global Teaching Assistance?

  Our teaching assistants are a dedicated team of subject matter experts to help you get certified in Data Science on your first attempt. They engage students proactively to ensure the course path is being followed and help you enrich your learning experience, from class onboarding to project mentoring and job assistance. Teaching Assistance is available during business hours.

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

  We offer 24/7 support through email, chat, and calls. We also 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 Science course with us.

• Does Simplilearn provide practice exams related to this Data Scientist course?

  Yes, we offer the following Data Science associated practice tests –

  • SAS Certification Exam Practice Test
  • Data Science Foundations with R Practice Test
  • Data Science with Python Practice Test
  • Business Analytics with Excel Practice Test
  • Tableau Certification Exam Practice Test
  • Power BI Exam Questions Practice Test