Basic Statistics and Data Mining for Data Science_1

Basic Statistics and Data Mining for Data Science, available at $49.99, has an average rating of 4.3, with 25 lectures, 7 quizzes, based on 35 reviews, and has 211 subscribers.

You will learn about Get familiar with the basics of analyzing data Exploring the importance of summarizing individual variables Use inferential statistics Know when to perform the Chi-Square test Differentiate between independent and paired samples t-tests Understand when to use a one-way ANOVA and post-hoc tests Get well-versed with correlations This course is ideal for individuals who are This is an application-oriented course with a practical approach. This course discusses situations in which you would use each statistical technique, the assumptions made by the method, how to set up the analysis, and how to interpret the results. No proofs will be derived, but rather the focus will be on the practical matters of data analysis in support of answering research questions. It is particularly useful for This is an application-oriented course with a practical approach. This course discusses situations in which you would use each statistical technique, the assumptions made by the method, how to set up the analysis, and how to interpret the results. No proofs will be derived, but rather the focus will be on the practical matters of data analysis in support of answering research questions.

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Summary

Title: Basic Statistics and Data Mining for Data Science

Price: $49.99

Average Rating: 4.3

Number of Lectures: 25

Number of Quizzes: 7

Number of Published Lectures: 25

Number of Published Quizzes: 7

Number of Curriculum Items: 32

Number of Published Curriculum Objects: 32

Original Price: $109.99

Quality Status: approved

Status: Live

What You Will Learn

Get familiar with the basics of analyzing data

Exploring the importance of summarizing individual variables

Use inferential statistics

Know when to perform the Chi-Square test

Differentiate between independent and paired samples t-tests

Understand when to use a one-way ANOVA and post-hoc tests

Get well-versed with correlations

Who Should Attend

This is an application-oriented course with a practical approach. This course discusses situations in which you would use each statistical technique, the assumptions made by the method, how to set up the analysis, and how to interpret the results. No proofs will be derived, but rather the focus will be on the practical matters of data analysis in support of answering research questions.

Target Audiences

This is an application-oriented course with a practical approach. This course discusses situations in which you would use each statistical technique, the assumptions made by the method, how to set up the analysis, and how to interpret the results. No proofs will be derived, but rather the focus will be on the practical matters of data analysis in support of answering research questions.

Data science is an ever-evolving field, with exponentially growing popularity. Data science includes techniques and theories extracted from the fields of statistics, computer science, and most importantly machine learning, databases, and visualization.

This video course consists of step-by-step introductions to analyze data and the basics of statistics. The first chapter focuses on the steps to analyze data and which summary statistics are relevant given the type of data you are summarizing. The second chapter continues by focusing on summarizing individual variables and specifically some of the reasons users need to summarize variables. This chapter also illustrates several procedures, such as how to run and interpret frequencies and how to create various graphs. The third chapter introduces the idea of inferential statistics, probability, and hypothesis testing.

The rest of the chapters show you how to perform and interpret the results of basic statistical analyses (chi-square, independent and paired sample t-tests, one-way ANOVA, post-hoc tests, and bivariate correlations) and graphical displays (clustered bar charts, error bar charts, and scatterplots). You will also learn when to use different statistical techniques, how to set up different analyses, and how to interpret the results.

About the Author

Jesus Salcedo has a Ph.D. in Psychometrics from Fordham University. He is an independent statistical consultant that and has been using SPSS products for over 20 years. He is a former SPSS Curriculum Team Lead and Senior Education Specialist who has written numerous SPSS training courses and trained thousands of users.

Course Curriculum

Chapter 1: The Basics of Analyzing Data

Lecture 1: The Course Overview

Lecture 2: Basic Steps of Data Analysis

Lecture 3: Measurement Level and Descriptive Statistics

Chapter 2: Summarizing Individual Variables

Lecture 1: Reasons for Summarizing Individual Variables

Lecture 2: Obtaining Frequencies and Summary Statistics

Lecture 3: Data Distributions

Lecture 4: Visualizing Data

Chapter 3: Understanding Inferential Statistics

Lecture 1: Hypothesis Testing and Probability

Lecture 2: Statistical Outcomes

Chapter 4: Digging into Chi-square Tests of Independence

Lecture 1: Chi-square Test Theory and Assumptions

Lecture 2: Chi-square Test of Independence Example

Lecture 3: Post-hoc Test Example

Lecture 4: Clustered Bar Charts

Chapter 5: Performing T-Tests

Lecture 1: Independent Samples T-Test: Theory and Assumptions

Lecture 2: Independent Samples T-Test Example

Lecture 3: Paired Samples T-Test: Theory and Assumptions

Lecture 4: Paired Samples T-Test Example

Lecture 5: T-Test Error Bar Charts

Chapter 6: Exploring ANOVA

Lecture 1: One-way ANOVA Theory and Assumptions

Lecture 2: One-way ANOVA Example

Lecture 3: Post-hoc Test Example

Lecture 4: ANOVA Error Bar Charts

Chapter 7: Working with Correlation

Lecture 1: Pearson Correlation Coefficient Theory and Assumptions

Lecture 2: Pearson Correlation Coefficient Example

Lecture 3: Scatterplots

Instructors

Packt Publishing
Tech Knowledge in Motion

Rating Distribution

1 stars: 0 votes

2 stars: 1 votes

3 stars: 7 votes

4 stars: 13 votes

5 stars: 14 votes

Frequently Asked Questions

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You can view and review the lecture materials indefinitely, like an on-demand channel.

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