Introduction to Python for Data Science is a course ideal for
beginners to step into the Python environment and implement it for analyzing data.
Through this course, participants learn about the multiple ways through which data can be
stored and manipulated using Python pandas libraries. Apart from this , participants also gain
exposure on statistical measures and data science tools like Matplotlib for data analysis and its inference.
The Big data explosion has left with humungous data that needs to be analyzed.
Being skilled in machine learning algorithms and using Python language is one way to simplify
and solve the data analysis process.
Python is a production-ready language that has the capacity to build web applications like
websites and software. Its use in the field of Data Science and Analytics makes it stand out as
a core programming language. Companies worldwide are using Python to harvest insights from their data and
get a competitive edge. With a rich library to read and write data, Python language facilitates running
calculations on the information and creating graphical representations of data sets.
Students at the end of the course gain an understanding of
Our course package is neatly compiled with strong focus on theoretical concepts of the Python language and
data science followed by hands-on implementation of the programming language on a project. Students will get to
work on a wide range of project topics across several industries where Big data is scattered. This includes
working on healthcare data ,
stock market lists ,social media data and applying predictive analytics concepts in the insurance domain.
How do I get certified?
Students need to complete the following mandatory requirements to be a certified data scientist:
Students completing the project and clearing the online examination will receive a certificate of experience stating the successful accomplishment of course.
Students can choose from the following two options:
We offer convenient course packages for registered students. This allows the students to choose their preferred and suitable mode of training to fit into their busy schedule.
A robust 32 or 64 bit operating system with 1 GB RAM space is required to support the working of Python. Anaconda and Jupiter notebooks are essential for the installation of Python.
At Edifyself , we are committed to provide the best learning experience. Our trainer panel boasts the best from the industry and is well- experienced, certified, deep rooted in their subject and passionate to train students.
Edifyself’s courses are suited for busy professionals and our aim is to help you get certified. Therefore in the case of missing a class , students can view online lectures through LMS or enroll in a Live batch. We also provide lifelong access to the courseware for anytime , anywhere reference.
Our refund policy will help you get your money back. Contact our support team for your payment and cancellation queries.
Registered students can choose their preferred mode of training. Our course packages are designed to be convenient and fit into the working professional’s schedule. Our expert and experienced panel of trainers are the best guides to take you through your knowledge path.
Students get to learn concepts by interacting with an expert trainer through LIVE Web Sessions and get their doubts cleared on the spot
.
Students gets access to the Pre recorded classroom sessions available on our LMS.
Students receives recorded video lecture from trainer before their classroom session. While in Class time is spent devoted to exercises, lab sessions and discussions with our Expert Trainer.
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