Data Science with Python Course

Data Science with Python Training FAQs

• Why learn Python for Data Science?

  Python is the most popular programming language for Data Science. Python is widely used to perform data analysis, data manipulation, and data visualization. The advantages of using Python for data science are:

  • Python offers access to a wide variety of Data Science libraries and it is the ideal language for implementing algorithms and the rapid development of applications in Data Science.
  • Python is an object-oriented programming language with integrated dynamic semantics, used primarily for application and web development. The widely used language offers dynamic binding and dynamic typing options.
  • Python is a high-level programming language with an enormous community. Its flexibility is quite useful for any issues related to application development in Data Science.

• Can I learn Python Data Science course online?

  The rapid evolution of learning methodologies, thanks to the influx of technology, has increased the ease and efficiency of online learning, making it possible to learn at your own pace. Simplilearn's Python Data Science course provides live classes and access to study materials from anywhere and at any time. Our extensive (and growing) collection of blogs, tutorials, and YouTube videos will help you get up to speed on the main concepts. Even after your class ends, we provide a 24/7 support system to help you with any questions or concerns you may have.

• What is the job outlook for Data Science with Python programming professionals?

  Harvard Business Review has already named Data Scientist as the ‘Sexiest Job of the 21st Century.’ The statement is echoed in LinkedIn Emerging Jobs Report 2021 in which Data Science specialists are one of the top emerging jobs in the US with Python as one of its key skills. The job role has witnessed an annual growth of 35 percent for Data scientists and Data engineers.

• Do I need coding experience to learn Python for Data Science?

  If you have prior coding experience or familiarity with any other object-oriented programming language, it will be easier for you to learn Python for Data Science. However, it is not compulsory.

• I have familiarity in other programming languages like C++/Java. Will the Data Science with Python course help me to switch to Python?

  Python has simple syntax and is easy to understand. Knowledge of Java or C++ language helps in learning Python faster. This is because Python is also object-oriented and many of its prototypes are similar to Java. So you can easily migrate to Python with this comprehensive course.

• How much Python is required for Data Science?

  Python is used for a variety of applications and you don’t need to be familiar with all of its libraries and modules. Even if you know the basics of Python, this Data Science with Python certification covers the popular libraries of Python that are used in data science projects.

• Does Python support any open-source libraries?

  Yes, Python supports a lot of open-source libraries like SciPy, NumPy, Scikit-Learn, TensorFlow, Matplotlib, and Pandas.

• Does the knowledge imparted through this Data Science with Python certification apply to Machine Learning and Data Science projects?

  Yes, our Data Science with Python course is specifically designed to impart industry-oriented skills. The course material, practice with integrated labs, and real-world projects enhance your practical knowledge and help you apply them to Data Science projects.

• How can I get started with this Data Science with Python course?

  It is beneficial if you brush up your skills in core math, statistics, and programming basics to get started with this Data Science with Python course.

• Which companies use Python for Data Science?

  Major companies like Google, Instagram, Goldman Sachs, Facebook, Quora, Netflix, Dropbox, and PayPal use Python for Data Science.

• How do Data Scientists use Python in daily work?

  Data scientists handle a variety of tasks in their day-to-day routine. They gather, merge, and analyze data and identify trends and patterns. They also build and test new algorithms to simplify data problems. Python is used along with other tools to perform all these tasks.

• What are the system requirements to install Python for Data Science?

  To run Python, your system must fulfill the following basic requirements:

  • 32 or 64-bit Operating System
  • 1GB RAM 

  The instruction uses Anaconda and Jupyter notebooks. The e-learning videos provide detailed instructions on how to install them.

• Which is better for Data Science — R or Python?

  Python and R are both popular languages among data scientists. While R is a statistical analysis language, Python is a general-purpose language that has a readable syntax and well-structured code. Data professionals prefer Python for its versatility and R for its better visualization capabilities. However, deciding on the best-suited programming language depends on the nature of the data analysis task you are working on.

• What will I learn in the Python for Data Science course?

  When learning about Data Science with Python, you will gain a clear understanding of Python topics like functions, classes, lists, dictionaries, sets, tuples, and various Python libraries. Further, you will go through concepts like mathematical computing, data visualization, data exploration, data analysis, web scraping, machine learning, and feature engineering.

• What are the must-have Python packages for Data Science?

  Some of the widely used Python libraries for data science include TensorFlow, NumPy, Keras, Matplotlib, scikit-learn, PyTorch, Scrapy, SciPy, and Pandas.

• Are OOPs in Python necessary for a Data Science career?

  No, it is not mandatory to learn OOPs in Python when starting a career in Data Science. However, knowledge of OOP basics is beneficial when performing daily Data Science tasks.

• Who are our instructors and how are they selected?

  All of our highly qualified Data Science trainers are industry experts with at least 10-12 years of relevant teaching 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 are the modes of training offered for this Python Data Science course?

  Live Virtual Classroom or Online Classroom: In online classroom training, you have the convenience of attending the Python Data Science course remotely from your desktop via video conferencing to enhance your productivity and reduce the time spent away from work or home.
   
  Online Self-Learning: In this mode, you will receive lecture videos and can proceed through the course at your convenience.
   
  WinPython portable distribution is the open-source environment on which all hands-on exercises will be performed. Instructions for installation will be given during the training.

• Is this live training, or will I watch pre-recorded videos?

  If you enroll in the self-paced e-learning training program, you will have access to pre-recorded videos. However, if you enroll for the Online Classroom Flexi-Pass, you will have access to both instructor-led Data Science with Python training conducted online as well as the pre-recorded videos.

• What if I miss a class?

  Simplilearn provides recordings of each class so you can review them as needed before the next session.

• Can I cancel my enrollment? Will 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, you can view our Refund Policy.

• Are there any group discounts for classroom training programs?

  Yes, we have group discount packages for classroom training programs. Contact Help & Support to learn more about group discounts.

• How do I enroll for Python Data Science course?

  You can enroll for this Data Science with Python certification 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.

• Whom should I contact to learn more about this Python Data Science course?

  Contact us using the form on the right of any page on the Simplilearn website, or select the Live Chat link. Our customer service representatives can provide you with more details.

• What is Global Teaching Assistance?

  Our teaching assistants are a dedicated team of subject matter experts here 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 Python Data Science course with us.

• What is the recommended learning path after completing Data Science with Python course?

  You can either enroll in our Data Scientist Course or if you are looking to get a University certificate, you can enroll in the Professional Certificate Program in Data Science.

• Disclaimer

  The projects have been built leveraging real publicly available data-sets of the mentioned organizations.

• How do I become a Data Science Expert?

  To become a data science expert, all you need is prior experience in mathematics or statistics and knowledge of programming languages like Python, Java, C++, etc. Simplilearn helps you gain expertise in Data Science with its Data Science with Python certification and have a successful career.

• What is Data Science used for?

  Data science collects relevant data, analyzes and interprets, and finds solutions for addressing business problems. Starting from healthcare to advertising, Data Science has applications in almost every possible field.

• Is a Data Science with Python course difficult to learn?

  Not at all. Simplilearn’s Data Science with Python course has been tailored to meet the learning objectives of both beginners and experienced people and can be easily pursued by anyone meeting the course eligibility requirements.

• Is Data Science a good career option?

  Yes, Data Science is definitely a good career option given the following reasons:

  • Data science is everywhere and expanding at an exponential rate! The market size of Data science has been projected to reach $178 billion by the end of 2025.
  • As highlighted by the US Bureau of Labour Statistics (BLS), job roles requiring Data Science-related skills will likely surge by 2026.
  • Data Scientists are among the highest-paid professionals earning an average salary of $1,49,982 per year.

• How do beginners learn Data Science with Python?

  While seeking data science with python training, beginners can first start with basics by completing the following fundamental modules included in the course:

  • Python Basics
  • Math Refresher
  • Data Science in Real Life
  • Statistics Essentials for Data Science

  Upon developing a profound base in Data Science with Python, you can start with the course in the given order for a systematic learning experience.

• Is Data Science with Python certification worth it?

  Yes, seeking data science with python training is worth it because, with the help of this certification, you’ll be able to:

  • Attain an in-depth understanding of data science processes, data wrangling, data exploration, data visualization, hypothesis building and testing, and the basics of statistics.
  • Comprehend the essential concepts of Python programming such as data types, lists, tuples, dicts, basic level operators, and functions.
  • Perform advanced level mathematical calculations utilizing the NumPy and SciPy packages, and their large library of mathematical functions.
  • Carry analysis of data and manipulation using data structures and Pandas package tools
  • Gain an in-depth understanding of supervised and unsupervised learning models, such as logistic regression, linear regression, data clustering, dimension reduction, K-NN, and pipeline.
  • Use the Scikit-Learn package for NLP and matplotlib library of Python for data visualization.

• What are the job roles available after obtaining a Data Science with Python certification?

  After getting a data science with python certification, you can work as a:

  • Business Analyst
  • Database Administrator
  • Big Data Engineer or Data Architect
  • Data Analyst
  • ML Engineer
  • Business Intelligence (BI) Developer
  • Business Intelligence Analyst
  • Statistician
  • Data Scientist
  • Computer Vision(CV) Engineer
  • Natural Language Processing (NLP) Engineer
  • MLOps Engineer

• What does a Data Science Expert do?

  A data science expert is primarily involved in collecting and analyzing data by utilizing various analytics and reporting tools to identify patterns, trends, and correlations in data sets. With the help of Simplilearn’s Data Science with Python certification, you will be able to gain a complete understanding of key roles and responsibilities of data science experts.

• What skills should a Data Science Expert know?

  A data science expert should possess the following skills:

  • Knowledge of programming languages like Python, R, and SQL
  • Profound knowledge of statistics and related concepts
  • Machine learning for handling big sets of data.
  • Knowledge of Multivariable Calculus & Linear Algebra
  • Data wrangling to refine data
  • Knowledge of data visualization tools for easy communication of insights collected

  Seeking data science with python certification will help you gain all the skills mentioned above and have a flourishing career in data science.

• What industries use Data Science most?

  Data Science has applications in every possible industry; however, some industries use data science extensively, such as retail, healthcare, banking and finance, construction, transportation, communications, media, and entertainment, education, manufacturing, natural resources, and energy and utility. Upon completing Simplilearn’s data science with python course, which is highly career-oriented, you can easily find job opportunities in these industries.

• Which companies hire Data Science Experts?

  Some of the top recruiters hiring professionals with data science with Python certification are HData Systems, Hyperlink InfoSystem, Tata Consultancy Services, Accenture, Tech Mahindra, Capgemini India Pvt Ltd, Tiger Analytics, Genpact, LatentView Analytics, and DataFactz.

• Which books do you suggest reading for Data Science with Python?

  To have a comprehensive data science with python training, you can consider referring to the following books:

  • Python For Data Analysis written by Wes McKinney
  • Automate The Boring Stuff With Python written by Al Sweigart
  • Machine Learning with Python Cookbook written by Chris Albon
  • Python Cookbook written by Brian K. Jones and David M. Beazley
  • Hands-On Machine Learning with Scikit-Learn and TensorFlow written by Aurelien Geron
  • Data Visualization in Python by Gilbert Tanner

• What is the pay scale of Data Science professionals across the world?

  On average, professionals with Data Science with Python certification earn an annual salary of $97853.