Introduction to Statistical Analysis

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4.2 ★★★★ ★

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Introduction to Statistical Analysis

Name: Introduction to Statistical Analysis
Rating: 4.2 (234 reviews)
Author: GreyCampus Inc.

updated on icon Updated on Jul, 2024

language icon Language - English

person icon GreyCampus Inc.

category icon Development,Data Science,Statistics

Lectures -37

Duration -4 hours

4.2 ★★★★ ★

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Course Description

Introduction to Statistical Analysis course is designed to equip learners with foundational knowledge and practical skills in statistical analysis. Throughout this course, you'll explore key concepts such as probability, hypothesis testing, and visualization through a series of engaging and informative lessons. This course is ideal for students, professionals, and anyone interested in gaining a solid understanding of statistics.

What will students learn in your course?

>Introduction to Statistics: Understand the basics of statistics, including its importance and applications in various fields.

>Qualitative & Quantitative Data: Learn to differentiate between qualitative and quantitative data and how to handle each type.

>Visualization: Master techniques for visualizing data using various tools and methods to uncover insights and patterns.

>Confidence Interval & Hypothesis Testing: Learn how to construct and interpret confidence intervals and conduct hypothesis tests.

>Gain practical knowledge in performing and interpreting t-tests, ANOVA, and chi-squared tests.

Goals

Introduction to Statistical Analysis course offers a structured learning experience, covering essential concepts. You can build a solid foundation in statistics and gain the skills required to analyze data effectively. This course will provide you with the knowledge and tools needed to excel in various fields such as business, science, finance, and more

Prerequisites

>Basic Mathematics: A basic understanding of high school-level mathematics, including algebra.

>Familiarity with Excel: Basic knowledge of Microsoft Excel or similar spreadsheet software for data handling.

>Interest in Data Analysis: A keen interest in learning about data analysis and statistics.

Curriculum

Check out the detailed breakdown of what’s inside the course

Introduction to Statistics, Qualitive & Qunatitatuve data
2 Lectures

Qualitative data (nominal and ordinal) 05:25 05:25
Quantitative data (discrete and continuous) 09:03 09:03

Sample & Population
3 Lectures

Visualization
6 Lectures

Probability
5 Lectures

Normal Distribution & Central Limit Theorem
5 Lectures

Confidence Interval & Hypothesis
6 Lectures

T test ,Anova & Chi Squared test
10 Lectures

Instructor Details

GreyCampus Inc.

About me

GreyCampus helps people power their careers through skills and certifications. We believe continuous upskilling and certifications is key to sustained success in your career. While older skills are fast becoming less relevant, need for newer in-demand skills is growing exponentially. We believe if you stay skilled, you will stay ahead.

Course Certificate

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