Name: Dr. V.P. Nanthini Sundar
Degree: Ph.D
Total Experience: 14+ Years
Average Rating of this course: 5 / 5
Know More @: https://www.vpntrainer.com/About.html
Data visualization is the graphical representation of data in order to interactively and efficiently
convey insights to stakeholders, customers and clients. It is a way to summarize your findings and
display it in a form that facilitates interpretation and can help in identifying patterns or trends.
In this course, you will learn how to create interesting graphics and charts and customize them to
make them more effective and more pleasing to your audience.
As we all know “A picture is worth a thousand words”, It especially applies when trying to explain
the insight obtained from the analysis of increasingly large data sets. Data visualization plays an
essential role in the representation of both small and large scale data in production environment.
One of the key skills of a data scientist is the ability to tell a story, visualizing data and
findings in a quicker, approachable and easier way. Learning how to leverage related software
pckages to visualize data will also enable you to extract suitable information, better understand
the data, and make more effective decisions.
The main objective of this course is to teach you how to take data that at first glance have little
meaning and present that data in a form that makes sense to people. Various techniques have been
developed for presenting data visually. In this course, we will be using several data visualization
libraries in Python, namely Matplotlib, seaborn, Folium and Plotly.
You will acquire wide practical exposure to expand your business / company by enhancing your
existing python application with this well curated comprehensive fundamental course.
This course is open to both engineering and arts college students. Upon successful completion they
will certainly get a good job with nice package. And is suitable for working professionals as well
who wish to have their domain change. This course is for everyone being fresh graduates, pre final
year trying for placements (both computer and non computer engineering / arts), UG, PG to be
graduates, working professionals seeking for domain change/ new offer with nice package and for
professors from any department and research scholars, and to all UG, PG students who wish to do
final semester project using Python. 100+ charts will be taught and new challenges will be given
based on participants wish to make them try on their own.
I am currently doing Masters in Artificial Intelligence and Machine Learning from the University of Birmingham, UK, and I was lucky enough to find a teacher who taught me with such patience and cleared all my doubts. I have gained a lot of insights during our course because of her immense knowledge and greater understanding of all the concepts. She explicitly explained the theory and connected it with well her practicals which helped me learn more efficiently.
05 Dec, 2021
I took training on Intermediate data science course from ma'am, I being a non-computer engineering background person was very afraid of learning python as it involves coding for doing data analysis, but ma'am made my life very simple by presenting in-depth analysis covering the theory as well as practical aspects in a very detailed manner. She also provides many datasets for doing the thorough analysis, which boosts the confidence while learning. She also covers fundamentals of Statistics, which is hard to understand my ownself. I would definetly recommend ma'am for her style of teaching and the rich experience she has in this field. I would like to thank ma'am for imparting me the knowledge in data science.
03 Sep, 2021
I continued Basic to Intermediate level of data science course taught by Madam. All the concepts are well covered by the Madam. Nanthini Mam is really dedicated to her coaching and covering all the concepts. I am grateful to be associated with her. Last but not least, folks joining the course must really dedicate towards your training and practising every code as much as Mam is equally dedicated.
27 Jul, 2020
Contact Dr. V. P Nanthini Sundar to proceed further!
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Mobile Number: +91 9176784926
✉
Email ID:
support@vpntrainer.com
LinkedIn: https://www.linkedin.com/in/dr-v-p-nanthini-sundar-31370161/