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.
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Yes, it is decided on a case to case basis and we would request you to reach us for more details.
It is possible to cancel the enrolment and Staragile will refund the course fee with a minimum deduction of the administration fee.
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.
You do not need prior coding experience to learn Data Science with Python Course because the training starts with the basics.
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.
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.
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.
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.
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.
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.
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.
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 Science with Python Course will equip you with skills to use data analytic tools with Python.
Data Scientists use Python to automate reports, academic research, reporting, and predicting for business and web scraping.
The Data Science with Python course is a 44-hour live virtual training.
Python is easy to use because of its simple syntax. Python makes it easy for individuals without an engineering background to work with it.
Finish the data science with Python course to build a data science project portfolio from your browser with Pandas, Sklearn, TextBlob, Plotly, etc.
Programmers code the search engine with Python to obtain information without digging at the library. Businesses display their ads for visibility on the internet.
All multinational companies like Google, Intel, IBM, NASA, JP Morgan Chase, Facebook, Netflix, Etc., use Python.
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.
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.
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
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 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.
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