DATA SCIENCE WITH PYTHON CERTIFICATION COURSE
Our Data Science with Python Certification Program gives you a 360 degree overview of Phyton’s Data Analytics tool and techniques. Knowing Python as a whole is an important part of many Data Science roles. Gaining the skill in Phyton is the key to excel your career as a Data Scientist
DATA SCIENCE WITH PYTHON OVERVIEW
Knowing Python Data Science will help you to master the concept of Python Programming. By learning through this course and gaining the Python certification, you will be able to get the full knowledge of Data Analysis, Data Visualization, NLP, Web Scraping, and Machine Learning. After you finish this course you will be able to master the key tool of Data Science with Python.
DATA SCIENCE WITH PYTHON KEY FEATURES
Learn world class knowledge at your own comfort place. With self pace and online live training, you will benefit great knowledge and network from other students all over the world.
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Data Science with Python Certification Course
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DATA SCIENCE WITH PYTHON CURRICULUM
With the increasing demand for Data Science with Python, this course is suitable for any participants at any level of experience. This course is beneficial for anyone who is interested in the analytics field and data science.
It is recommended if you have participated in the introduction to data science with Python, real-life, statistics, and math refresher.
DATA SCIENCE WITH PYTHON EXAM & CERTIFICATION
Once you successfully complete the Data Science with Python training, Simplilearn will provide you with an industry-recognized course completion certificate which will have a lifelong validity.
- Attend one complete batch of Data Science with Python training.
- Submit at least one completed project.
- Complete 85% of the course
- Submit at least one completed project.
Yes, we provide 1 practice test as part of our Data Science with Python course to help you prepare for the actual certification exam. You can try this Free Data Science with Python Practice Test to understand the type of tests that are part of the course curriculum.
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DATA SCIENCE WITH PYTHON FAQS
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 one of the most popular languages in Data Science, which can be used to perform data analysis, data manipulation, and data visualization. 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.
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.
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.
If you have prior coding experience or familiarity with any other object-oriented programming language, it will be easier for you to learn Python. However, it is not compulsory.
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.
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.
Yes, Python supports a lot of open-source libraries like SciPy, NumPy, Scikit-Learn, TensorFlow, Matplotlib, and Pandas.
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.
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.
Major companies like Google, Instagram, Goldman Sachs, Facebook, Quora, Netflix, Dropbox, and PayPal use Python.
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.
Python is a high-level programming language with an enormous community. Its flexibility is quite useful for any issues related to application development. It has a rich set of libraries and frameworks that make it an excellent choice for Data Science like Pandas, NumPy, SciPy, Matplotlib.
- 32 or 64-bit Operating System
- 1GB RAM
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.
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.
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.
Simplilearn provides recordings of each class so you can review them as needed before the next session.
You can enroll for this Data Science with Python certification training on our website and make an online payment.
Once payment is received you will automatically receive a payment receipt and access information via email.
Contact us using the form on the Live Chat link. Our customer service representatives can provide you with more details.
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.
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.
You can either enroll in our Data Scientist Course or if you are looking to get a University certificate, you can enroll in the Post Graduate Program in Data Science.
* The projects have been built leveraging real publicly available data-sets of the mentioned organizations.
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