Description
The Statistics and Applied Data Analysis Specialization is a course on essential tools and techniques for analyzing, interpreting, and visualizing data, published by Coursera Online Academy. The program combines theoretical foundations with practical applications and covers topics such as descriptive and inferential statistics, hypothesis testing, regression analysis, and advanced data modeling. Students work with real-world datasets using Python and R and apply statistical methods to solve complex problems in a variety of domains. The specialization also emphasizes data visualization, predictive analytics, and relational insights, making it a good fit for professionals who plan to excel in data-driven decision-making roles.
A comprehensive understanding of statistics and data analysis is crucial for the fields of data science, data analytics, and machine learning. In the first course of this specialization, you will learn traditional and applied statistics (descriptive statistics, probability, and discrete and continuous probability distributions) from the ground up (i.e., beginner level). The second course is all about inferential statistics and decision making (sampling distributions, one- and two-sample hypothesis testing, analysis of variance), and building predictive mathematical models (linear and nonlinear regression). During both first courses, you will learn how to visualize data and solve various statistical problems using Microsoft Excel. In the final course of the specialization, you will use the statistical computing software R (using RStudio) to test statistical hypotheses, visualize data, and perform analysis of variance (ANOVA).
What you will learn in the Statistics and Applied Data Analysis Specialization course:
- Create mathematical regression models that can be used predictively
- Performing one-sample and two-sample statistical hypothesis testing
- Perform a variety of statistical tests, create regression models, and analyze data using Microsoft Excel as well as R (RStudio)
- And …
Course details
Publisher: Coursera
Instructor: Charlie Nuttelman
Language: English
Level of instruction: Beginner
Number of lessons: 184
Duration of instruction: 25 hours and 12 minutes
Course headings
Statistics and Applied Data Analysis Specialization Course Prerequisites
None
Course images
Introduction video for the Statistics and Applied Data Analysis Specialization course
Installation Guide
After Extract, view with your favorite player.
Subtitles: English
Quality: 720p
Download link
File size
3.4 GB
