The Data Science with Python Course will teach you right from the basics of Python programming allowing you to master the concepts. This training aims at introducing data analysis, data visualization, data wrangling, data exploration, mathematical computing, and web scraping using Python. Further, it covers machine learning (ML) concepts, and natural language processing (NLP). At the end of this training, you will be able to use the data analytic tools using Python.
A basic understanding of coding and awareness of at least one scripting language will help. Good in mathematical computation, statistics, and reasoning with college graduation is the prerequisite to attend Data Science using Python Course.
Python is a high-level, object-oriented, interpreted programming language with dynamic semantics. The high-level built-in data structures in combination with dynamic binding and typing make it the best for quick application development and are also used as a scripting language.
The data scientist needs to access the NumPy and SciPy libraries to quickly being with the technical and scientific computing tasks. Thus learning Python provides access to many data science libraries namely NumPy, Pandas and hence it is the perfect language to implement algorithms and develop applications.
All multinational companies like Google, Intel, IBM, NASA, JP Morgan Chase, Facebook, Netflix, Etc., use Python.
Programmers code the search engine with Python to obtain information without digging at the library. Businesses display their ads for visibility on the internet.
Finish the data science with Python course to build a data science project portfolio from your browser with Pandas, Sklearn, TextBlob, Plotly, etc.
Python is easy to use because of its simple syntax. Python makes it easy for individuals without an engineering background to work with it.
The Data Science with Python course is a 44-hour live virtual training.
Data Scientists use Python to automate reports, academic research, reporting, and predicting for business and web scraping.
The Data Science with Python Course will equip you with skills to use data analytic tools with Python.
You do not need prior coding experience to learn Data Science with Python Course because the training starts with the basics.
Yes, it is possible to learn data science using python online. The exponential growth in technology has made this possible with a minimum system requirement. You can attend the class online at your convenience and from home. You get access to all training materials and videos for future reference. Further, you will get access to our blogs which will be updated periodically with the latest development in data science tools and techniques.
It is not much different from other online courses but for running Python you need a 32 or 64-bit operating system. It can be a PC or Laptop with Windows or Mac. 1 GM RAM support is required.
We are available to your concerns 24/7 via email, chat, and calls. Reach our website and at once you can witness our Chatbot eagerly waiting to help you.
It is a cloud-based virtual lab that helps in learning and practicing several tools including Artificial Intelligence, Machine learning, Deep learning, and Big Data like (Hadoop or Spark) technologies.
It is pre-installed along with Python packages on the cloud-lab as it is a cloud-based Jupyter Notebook and makes life easy for the participants to execute all the demos shown in class as well as execute real-time projects.
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The trainers associated with Staragile are industry experts in data science with more than a decade of experience in teaching. Staragile has selected the best trainers upon making them go through a rigorous hiring process. They have proven track records and subject matter experts.
Live virtual or online training
Choose the timing and attend the data science with Python class from your place of convenience using a PC via a video call. This is interactive and you can communicate with the trainer online.
Online Self Learning
In this mode, you will get access to the recorded videos and you can watch them based on your time convenience.
Both options are available with us for you to attend the data science using Python course. You decide and make payment accordingly for either an online class or access to recorded videos alone.
If you have opted for a recorded video class, then you need not worry about missing classes as you can watch the video based on your choice.
However, if you have selected for an online class, then still you will get the recorded video of every session. Thus you can refer to the missed classes from them.
It is possible to cancel the enrolment and Staragile will refund the course fee with a minimum deduction of the administration fee.
Yes, it is decided on a case to case basis and we would request you to reach us for more details.
Follow any of the above methods to get in touch with us.
The practice test is part of the Python Data Science Course and 1 test is given before the actual certification exam. It is called the mock exam which will be similar to the actual exam. The duration of the test is 60 minutes and will contain 50 MCQ questions. It is possible to pause the test and retake it at a later time.
Online Live Virtual Training
Self-Learning Online
Register for the Python Data Science Course with Staragile. After completing the course you will get a course completion certificate from Staragile which is valid for a lifetime and is recognized in the industry.
The Data Science course with Python from StarAgile is valid for a lifetime.
Python is well-suited for data science. While it may not be the best language for the job, it is possible to learn data science with Python.
Python is one of the best languages used for data science. With libraries such as NumPy and SciPy, it is easy to manipulate and analyze data.
Python is a user-friendly programming language that is well-known. Python makes it possible for anyone to learn the basics and start working with data.
Both languages have their strengths and weaknesses. Some experts believe R is better for data science tasks due to its powerful built-in libraries and capabilities.
Learning the basics of Python will give you a strong foundation for working with data. These include oops concept, control statements, and data types.
Python is widely used because of its many libraries useful for data analysis and machine learning. Other languages to use are R, Java, and MATLAB.
With growing competition in every field, it is increasingly difficult for people to get jobs that match their skills, knowledge, and calibre. This problem is handled significantly by the various innovative courses which can help people learn skills to get good jobs. One such course gaining quite a lot of popularity among students with a technical background in data science with Python course in Noida.
When planning to pursue this course that teaches Python programming basics, look for an eminent institute that provides high-end tutorials to understand the basics easily. To enroll yourself in Python for Data Science Training in Noida, you must fulfill basic eligibility requirements. Since this is a technical course, a candidate having a technical background is not necessary. However, it is an advantage. It helps to easily understand data manipulation, data cleaning techniques, tabulation, merging of data, and more.
Many institutes boast of providing top-notch data science with Python training in Noida courses. But not all can do justice and provide technical expertise as necessary. Thus, it is crucial that the course is pursued diligently and all essential functions understood effectively. Ensure the institute chosen for this course gives in-depth tutorials on lambada, manipulation of CSV files, and more. Pursue data science with Python Certification in Noida that opens the doors of opportunities for you
The Python for Data Science Course in Noida prepares the students to use their technical expertise for running inferential statistical analysis, among other functions. You must do the data science with Python course in Noida for gaining an in-depth understanding of the features and functionality of Python and how it applies to Data Science.