Science & Social Sciences
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Statistics Essentials for Analytics

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5

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Course Features

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Delivery Method

Online

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Available on

Lifetime Access

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Accessibility

Desktop, Laptop

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Language

English

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Subtitles

English

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Level

Beginner

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Teaching Type

Self Paced

Course Description

This course is self-paced and helps you understand how Statistical Techniques are applied to real data sets to provide insights and analysis. Statistics and its methods are the backbone of Data Science. They allow us to "understand and analyze actual phenomena" and provide predictions and models. Machine learning uses different theories and techniques from probabilistic and statistical fields.

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Highlights

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Top 20 Percentile

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Career Impact

Top 1 Percentile

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Parameters

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Hands on training

This course stands out as one of the top 20 percentile options in Statistics, offering unparalleled hands-on training. Learners gain practical experience and skills through immersive learning, preparing them for real-world challenges. It features Capstone Projects / Industry-Simulation complemented by Case Based Learning, ensuring comprehensive skill development. This enhances its value, making it an excellent choice for individuals seeking a well-rounded education in Statistics.

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Career Impact

This course is exceptional, ranking among the top 1 percentile in Statistics for its significant career impact and excellent job assistance. Learners benefit from valuable career opportunities and support, enabling them to secure relevant positions and excel in the industry. The course's dual focus on career impact and job assistance enhances its value, making it an ideal choice for individuals seeking to advance their careers and succeed in the Statistics field.

Course Overview

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Job Assistance

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Personlized Teaching

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Case Based Learning

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Post Course Interactions

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Case Studies,Instructor-Moderated Discussions

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Case Studies, Captstone Projects

Skills You Will Gain

What You Will Learn

Understanding the Data

Probability and its uses

Statistical Inference

Data Clustering

Testing the Data

Regression Modelling

Course Reviews

Average Rating Based on 6 reviews

5.0

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