Straight From Business School: Data + Analytics

Learn how to manage and analyze big data in order to make better predictions and decisions that fuel business success.

Created byClassrack +

Last updated 10/2013

English

What you'll learn

Learn how to process and analyze data in order to make more accurate predictions and better decisions.
Learn how to use big data to strengthen your organization.

Course content

6 sections • 23 lectures • 2h 27m total length

Probability Rules2:38
Probability laws are the foundation for exploring data and analytics. They give us a basic tool for making objective predictions about events and potential transactions using only simple math calculations and an understanding of how probability works.
Addition Law5:01
Probability laws are the foundation for exploring data and analytics. They give us a basic tool for making objective predictions about events and potential transactions using only simple math calculations and an understanding of how probability works.
Multiplication Law3:46
Probability laws are the foundation for exploring data and analytics. They give us a basic tool for making objective predictions about events and potential transactions using only simple math calculations and an understanding of how probability works.
The Monty Hall Problem3:18
Probability laws are the foundation for exploring data and analytics. They give us a basic tool for making objective predictions about events and potential transactions using only simple math calculations and an understanding of how probability works.
Bayes Rule + Breast Cancer3:19
Probability laws are the foundation for exploring data and analytics. They give us a basic tool for making objective predictions about events and potential transactions using only simple math calculations and an understanding of how probability works.
Bayes Rule + Breast Cancer (Explained)7:04
Probability laws are the foundation for exploring data and analytics. They give us a basic tool for making objective predictions about events and potential transactions using only simple math calculations and an understanding of how probability works.

Mean, Median, and Standard Deviation6:59
An understanding of the basic elements of statistics, such as the mean, median, and standard deviation, is essential for moving forward and learning about advanced skills that can be utilized to analyze big sets of data and make important decisions.
Descriptive Statistics Using Excel2:51
An understanding of the basic elements of statistics, such as the mean, median, and standard deviation, is essential for moving forward and learning about advanced skills that can be utilized to analyze big sets of data and make important decisions.

Binomial Distribution9:54
Sampling is an important tool that can be used to slice big pieces of data into smaller segments that can be analyzed more rapidly. Binomial and Normal Distribution functions give us the ability to make predictions about the potential success or failure of programs and the likelihood that certain events will occur.
Binomial Distribution Using Excel8:05
Sampling is an important tool that can be used to slice big pieces of data into smaller segments that can be analyzed more rapidly. Binomial and Normal Distribution functions give us the ability to make predictions about the potential success or failure of programs and the likelihood that certain events will occur.
Normal Distribution3:57
Sampling is an important tool that can be used to slice big pieces of data into smaller segments that can be analyzed more rapidly. Binomial and Normal Distribution functions give us the ability to make predictions about the potential success or failure of programs and the likelihood that certain events will occur.
Normal Distribution Using Excel7:52
Sampling is an important tool that can be used to slice big pieces of data into smaller segments that can be analyzed more rapidly. Binomial and Normal Distribution functions give us the ability to make predictions about the potential success or failure of programs and the likelihood that certain events will occur.
Sampling8:22
Sampling is an important tool that can be used to slice big pieces of data into smaller segments that can be analyzed more rapidly. Binomial and Normal Distribution functions give us the ability to make predictions about the potential success or failure of programs and the likelihood that certain events will occur.
Sampling Using Excel2:31
Sampling is an important tool that can be used to slice big pieces of data into smaller segments that can be analyzed more rapidly. Binomial and Normal Distribution functions give us the ability to make predictions about the potential success or failure of programs and the likelihood that certain events will occur.
Confidence Intervals5:00
Sampling is an important tool that can be used to slice big pieces of data into smaller segments that can be analyzed more rapidly. Binomial and Normal Distribution functions give us the ability to make predictions about the potential success or failure of programs and the likelihood that certain events will occur.
Confidence Intervals Using Excel3:28
Sampling is an important tool that can be used to slice big pieces of data into smaller segments that can be analyzed more rapidly. Binomial and Normal Distribution functions give us the ability to make predictions about the potential success or failure of programs and the likelihood that certain events will occur.

Hypothesis Testing (Introduction)7:06
Hypothesis Testing allows us to make sure we're not on the wrong track and lends confidence to the analysis that we've performed based on the data we've collected.
Hypothesis Testing (Process)9:36
Hypothesis Testing allows us to make sure we're not on the wrong track and lends confidence to the analysis that we've performed based on the data we've collected.

Regression (Introduction)8:01
Regression Analysis gives us an opportunity to take big data and analyze the relationships between variables to order to make forecasts and better predict the future.
Regression (Process)13:45
Regression Analysis gives us an opportunity to take big data and analyze the relationships between variables to order to make forecasts and better predict the future.
Regression Using Excel7:54
Regression Analysis gives us an opportunity to take big data and analyze the relationships between variables to order to make forecasts and better predict the future.

Decision Theory6:43
Decision Theory and Decision Trees give us a structured tool that allows us to communicate important decisions and to analyze potential choices in order to maximize our return on decisions.
Decision Trees10:11
Decision Theory and Decision Trees give us a structured tool that allows us to communicate important decisions and to analyze potential choices in order to maximize our return on decisions.

Requirements

Microsoft Excel

Description

Learn how to launch and run a business by studying the same topics that our MBA instructors have learned at America’s best business schools.

Our MBA Classes are taught by students and graduates of top-20 MBA programs with decades of business experience and are designed for entrepreneurs, high school graduates, and employees of Fortune 500 companies and nonprofit organizations around the world. Our classes give you the feel of attending an elite business school right from your home or office, without the cost or admissions requirements of traditional universities. It's never been easier to learn something new.

About The Class:

We are creating and consuming more data than ever before and we have the ability to sift through piles of information stored on our servers, databases, computers, tablets, smartphones, and beyond. This data can be used in powerful ways to make strategic decisions that enhance our bottom line and mission. However we need to understand how to use big data and apply human intuition to harness this tool and make better decisions and predictions that make our organizations stronger.

This class will focus on developing a thorough grasp of strategies and methods for analyzing large sets of data in order to make predictions, make better decisions, and understand how data can be used as a competitive advantage. We will dive deeply into the following topics:

Probability
Statistics
Sampling
Binomial + Normal Distribution
Confidence Intervals
Linear Regression
Decision Analysis

Who this course is for:

Entrepreneurs, Managers, Students, Business Owners, Professionals

Straight From Business School: Data + Analytics

What you'll learn

Explore related topics

Course content

Probability6 lectures • 25min

Descriptive Statistics2 lectures • 10min

Binomial + Normal Distribution8 lectures • 49min

Hypothesis Testing2 lectures • 17min

Regression Analysis3 lectures • 30min

Decision Analysis2 lectures • 17min

Requirements

Description

Learn how to launch and run a business by studying the same topics that our MBA instructors have learned at America’s best business schools.

About The Class:

Who this course is for: