Introduction to Statistical Analysis

Welcome to our Statistics course, 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.

 

$118.29 $224.76 47% OFF

Course Overview

Greycampus’ statistics course offers a structured learning experience, covering essential concepts. Led by experienced instructors, this course concludes with a mock assessment and provides a certificate upon successful completion, making it ideal for students and professionals seeking to master statistical analysis.

Learning Experience

Tightly Planned Curriculum

Our course content is delivered in scheduled releases, allowing learners to progress steadily through each module at a structured pace, ensuring a balanced learning experience

Experienced Instructor

Learn from industry experts and seasoned statisticians who bring years of practical experience to the classroom, providing valuable insights and guidance to enhance your learning journey.

Certificate

Upon successfully completing the course and passing the final assessment, you'll receive a certificate of completion, validating your proficiency in statistics and enhancing

Course Curriculum

1 Subject

Statistics

1 Exercises • 41 Learning Materials

Introduction to Statistics, Qualitive & Qunatitatuve data

What statistics is and what data are?

Qualitative data (nominal and ordinal)

Quantitative data (discrete and continuous)

Sample & Population

Sample and Population

Sampling techniques

Measures of Central Tendency (Mean, median and mode)

Measures of Dispersion (variance, sd and IQR) and skewness

Visualization

Bar plot

Pie chart

Histograms

Box whiskers-Plot

Scatter plots

Graph hands on python

Probability

Intro to probability

Important concepts (event, set, subset, sample space)

Important concepts (intersection, union, complement)

Disjoint, non-disjoint and independent event

Conditional probability

Normal Distribution & Central Limit Theorem

Normal distribution

Bayesian inference

Binomial distribution

Poisson distribution

Central Limit Theorem

Confidence Interval & Hypothesis

Confidence Interval

Null and alternative hypothesis

One tailed and two tailed tests

Significance level and p value

Type I and Type II Errors

Statistical power

T test ,Anova & Chi Squared test

T distribution and degree of freedom

One sample T test

Independent sample T test

Paired sample T test

F distribution

One way Anova

Two way Anova

Contingency Table

Pearson's correlation coefficient

Chi-square Test

Assignment

Assignment

Assignment Solution File

Quiz

Quiz

Exercise

Who Should Enroll:

This course is ideal for students, professionals, and anyone interested in gaining a solid understanding of statistics. This course will provide you with the knowledge and tools needed to excel in various fields such as business, science, finance, and more.

Enroll today and unlock the power of statistical analysis!