Data Scientist Course in Prague, Czech Republic

Data Science Training FAQs

• What is the salary of a data scientist in Prague?

  The average salary of a data scientist in Prague is 840,000 K? ($38607.07) per year. Most of the big names providing such considerable wages in the field require Data Science training in Prague.

• What are the major companies hiring for a data scientist in Prague?

  Kiwi, Accenture, MSD, Oracle, and others are some of the companies hiring data scientists in Prague. All of these companies provide considerable growth opportunities only if you have Data Science training in Prague. The demand for data scientists is also very high in startups.

• What are the major industries in Prague?

  Major industries in Prague include information technology, manufacturing, transportation, construction, and finance. If you have Data Science training in Prague, you can improve your career prospects and get better job opportunities in any of these major industries.

• How to become a data scientist in Prague?

  To become a data scientist in Prague, you must have Data Science training in Prague. One should have a strong foundation in maths and statistics. Basic R and Python skills are required. You should be familiar with analytics and modeling, machine learning methods, and data visualization. You should also be familiar with the Hadoop platform and Apache Spark and have substantial knowledge of data processing frameworks. A basic understanding of Data Extraction, Transformation, and Loading Data Wrangling and Data Exploration is also required.

  Apart from having technical skills, one is also expected to be good at time allocation, critical reasoning, and soft skills like proficiency in communicating with people at all levels of the company. You should possess excellent data administration skills and problem-solving skills too.

• How to find training for data scientists in Prague?

  To choose the best course that meets all your learning requirements, you can look for data scientist training in Prague online and compare and contrast the various online training providers based on the curriculum, industry partners, instructors, accreditations, etc. You can also connect with professionals already in the industry for more clarity and understanding.

• What is a Data Science course?

  In a Data Science course, you will learn about many concepts if you are a beginner or an intermediate. This training program is around six to twelve months, often taken by industry experts to help candidates build a strong foundation in the field. Besides the theoretical material, our Data Science course includes virtual labs, industry projects, interactive quizzes, and practice tests, giving you an enhanced learning experience.

• 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. Companies that collect massive amounts of data use various data science tools and techniques to build predictive models. Simplilearn’s Data Science training can help you learn all 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 business leaders. The data is collected from various sources, processed into a format suitable for analysis, and fed into an analytics system where statistical analysis is performed to gain actionable insights.

• How do I become a Data Scientist?

  These Data Science courses, 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. This Data Science training will teach you R, Python, Machine Learning techniques, data reprocessing, regression, clustering, data analytics with SAS, data visualization with Tableau, and an overview of the Hadoop ecosystem. You will earn an industry-recognized certificate from IBM and Simplilearn that will attest to your new skills and on-the-job expertise.

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

  Professionals with no prior knowledge of the field can easily begin with this Data Science course, 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 and experienced professionals willing to start a career in data science.
  
  There are no specific eligibility requirements to take this Data Science training.

• What are the top Data Science courses provided in this program?

  This comprehensive training 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?

  Learners need to possess an undergraduate degree or a high school diploma. Basic knowledge of statistics and a basic understanding of any programming language is recommended.

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

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

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

  After completing the payment, you will be notified of your successful enrollment through email. It will give you all the details regarding accessing 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 soon. 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 to learn?

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

• 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

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

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

  • Lifetime access to the 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 Data Science 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

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

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

  • R Programming for Data Science
  • Python for Data Science

• How long is this course completion certificate valid?

  The course completion certificate received after completing this Data Science course 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 assessment
  Tableau	Required	85% of Online Self-paced completion or attendance of 1 Live Virtual Classroom, and successful evaluation in at least 1 project
  Data Science Capstone Project	Required	Attendance of 1 Live Virtual Classroom and successful completion of the capstone project

• How do I enroll for the Data Scientist course?

  You can enroll in this Data Science training 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.

• I am not able to access the 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 Request a callback.

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

• Do Data Scientists require Excel skills?

  Yes, Excel skills are beneficial for Data Scientists, and taking an Excel course can be advantageous. Here's why Excel skills are valuable for Data Scientists and how an Excel course can contribute to their work:

  1. Data Exploration and Analysis: Excel provides a user-friendly interface for initial data exploration and analysis. Data Scientists can use Excel to quickly assess data, perform basic calculations, and gain initial insights. An Excel course helps Data Scientists learn advanced data manipulation techniques, such as using formulas, functions, and pivot tables, to analyze and summarize data effectively.

  2. Data Cleaning and Preprocessing: Data cleaning and preprocessing are crucial steps in data science projects. Excel's data manipulation capabilities, combined with an Excel course, equip Data Scientists with skills to handle missing values, remove duplicates, format data, and perform other data cleaning tasks. These skills are essential for ensuring data quality and preparing data for further analysis.

  3. Data Visualization: Visualizing data is a key aspect of data science, as it helps in communicating insights and findings. Excel offers a range of charting and graphing tools that Data Scientists can utilize to create meaningful visualizations. An Excel course teaches Data Scientists how to create visually appealing charts, customize visuals, and present data effectively.

  4. Quick Prototyping and Analysis: Excel's familiarity and ease of use make it a valuable tool for quick prototyping and analysis. Data Scientists can use Excel to perform exploratory data analysis, conduct preliminary modeling, and test hypotheses. An Excel course provides Data Scientists with efficient techniques, shortcuts, and best practices for faster analysis and prototyping.

  5. Collaboration and Communication: Excel is widely used in organizations, making it a common tool for collaboration and communication. Data Scientists can share Excel files, collaborate on data analysis tasks, and integrate Excel outputs into reports or presentations. An Excel course equips Data Scientists with skills for collaborating on workbooks, tracking changes, and effectively sharing insights with team members and stakeholders.

  While specialized tools and programming languages are commonly used in advanced data analysis and modeling, Excel skills are still valuable for various data manipulation, exploration, and visualization tasks. By taking an Excel course, Data Scientists can enhance their Excel skills and leverage them strategically throughout different stages of their data science projects.