[BangPyper] [Commercial] 40% Discount On Course - Introduction To Data Science (Analytics Vidhya)

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[BangPyper] [Commercial] 40% Discount On Course - Introduction To Data Science (Analytics Vidhya)

Deepika Singhal
Dear BangPypers,

Analytics Vidhya, world's leading knowledge portal, brings you the best
course to launch your career in Data Science. The course will introduce you
to the basics of Python, Statistics and Modelling techniques like Linear
and Logistic Regression, Decision Trees while covering multiple real-life
industry problems. By the end of the course, you will be able to build an
end-to-end predictive model.

*OFFER: This is the last chance to get this course "Introduction to Data
Science" at 40% discount (Rs **8,999 1̶4̶9̶9̶9̶** only). Use Coupon Code
DATA40 to get 40% OFF and avail this limited time offer. *

To enroll for this course, click here:
https://trainings.analyticsvidhya.com/courses/course-v1:AnalyticsVidhya+DS101+2018T2/about?utm_source=bangpyper

*Course Syllabus*

   - Introduction to Data Science: This module is specially defined to give
   you a taste of what Data Science entails & its applications.

   - Basic Python for Data Science: The module revolves around Python and
   its applications in Data Science.

   - Understanding Statistics for Data Science: You will get to know the
   pre-requisites for Data Science, specifically Descriptive Statistics and
   Probability.

   - Predictive Modeling and the basics of Machine Learning: This module
   will be an introduction to predictive analytics, precisely data exploration
   and manipulation.

   - Real-life problems: Work on real life problems by end of this course:
   1) Identifying the Best Agents 2) Sales Prediction for a large supermarket
   3) Predict the Titanic survivors

*Limited Time Offer! Enroll Here Today
: https://trainings.analyticsvidhya.com/courses/course-v1:AnalyticsVidhya+DS101+2018T2/about?utm_source=bangpyper
<https://trainings.analyticsvidhya.com/courses/course-v1:AnalyticsVidhya+DS101+2018T2/about?utm_source=bangpyper>*

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