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Predictive analytics is conceptual in nature to achieve competitive strategy across industries. The learner's will be benefited in this repository to know about modern data analytic concepts and develop the skills for analysing and synthesizing data sets for decision making in the firms.

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Predictive Analytics

Welcome to the Predictive Analytics repository! This repository is designed to provide learners with a comprehensive understanding of predictive analytics, enabling them to leverage modern data analytic concepts for decision-making across various industries.

Description

Predictive analytics is conceptual in nature, focusing on achieving competitive strategy across industries. In this course, learners will:

  • Gain insights into modern data analytic concepts.
  • Develop skills for analyzing and synthesizing data sets for effective decision-making in firms.

Content

Skills Developed

Throughout this course, learners will develop the following skills:

  1. An Attitude of Enquiry
  2. Confidence and ability to tackle new problems
  3. Ability to work as a leader and as a member of a team
  4. Assessment of errors and elimination
  5. Report writing
  6. Selection of suitable software
  7. Prediction of the required output for given problems

Getting Started

To get started with the course, please refer to the following resources:

  • Course Materials: Access course materials such as lectures, slides, and exercises.
  • Assignments: Find assignments to practice and reinforce your learning.
  • Projects: Engage in hands-on projects to apply your skills in real-world scenarios.

Feel free to contribute, ask questions, and engage with other learners to enhance your learning experience!

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Predictive analytics is conceptual in nature to achieve competitive strategy across industries. The learner's will be benefited in this repository to know about modern data analytic concepts and develop the skills for analysing and synthesizing data sets for decision making in the firms.

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  • Jupyter Notebook 100.0%