Statistics for Data Science and Business Analysis
4.6 (61 ratings)
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Statistics for Data Science and Business Analysis

Statistics you need in the office: Descriptive statistics, Inferential statistics, Regression analysis, Cluster analysis
4.6 (61 ratings)
Instead of using a simple lifetime average, Udemy calculates a course's star rating by considering a number of different factors such as the number of ratings, the age of ratings, and the likelihood of fraudulent ratings.
741 students enrolled
Created by 365 Careers
Last updated 8/2017
English
Current price: $10 Original price: $150 Discount: 93% off
5 hours left at this price!
30-Day Money-Back Guarantee
Includes:
  • 3.5 hours on-demand video
  • 73 Supplemental Resources
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of Completion
What Will I Learn?
  • Learn how to work with different types of data
  • How to plot different types of data
  • Calculate the measures of central tendency, asymmetry, and variability
  • Calculate correlation and covariance
  • Distinguish and work with different types of distributions
  • Estimate confidence intervals
  • Perform hypothesis testing
  • Carry out regression analysis
  • Understand the mechanics of regression analysis
  • Be able to apply the concepts learned in the course in sophisticated softwares like Python and R!
View Curriculum
Requirements
  • Absolutely no experience is required. We will start from the basics and gradually build up your knowledge. Everything is in the course.
  • A willingness to learn and practice
Description

Do you want to work as a Marketing Analyst, or a Business Intelligence Analyst? As a Data Analyst, or a Data Scientist?

Well then, you’ve come to the right place!

Statistics for Data Science and Business Analysis is here for you!

This is where you start. And it is the perfect beginning!

In no time, you will acquire the fundamental skills that enable you to understand complicated statistical analysis directly applicable to real-life situations. We have created a course that is:

  • Easy to understand
  • Comprehensive
  • Practical
  • To the point
  • Contains plenty of exercises and resources
  • Data-driven
  • Introduces you to the statistical scientific lingo
  • Teaches you about data visualization
  • Shows you the main pillars of quant research

It is no secret a lot of these topics have been explained online. Thousands of times. However, it is next to impossible to find a structured program that gives you an understanding why certain statistical tests are being used so often. Modern software packages and programming languages are automating most of these activities, but this course gives you something more valuable – critical thinking abilities. Computers and programming languages are like ships at sea. They are fine vessels that will carry you to the desired destination, but it is up to you, the aspiring data scientist or BI analyst, to navigate and point them in the right direction.

Teaching is our passion

We worked hard for over four months to create the best possible Statistics course which would deliver the most value for you. We want you to succeed, which is why the course tries to be as engaging as possible. High-quality animations, superb course materials, quiz questions, handouts and course notes, as well as a glossary with all new terms you will learn, are just some of the perks you will get by subscribing.

What makes this course different from the rest of the Statistics courses out there?

  • High-quality production – HD video and animations (This isn’t a collection of boring lectures!)
  • Knowledgeable instructor (An adept mathematician and statistician who has competed at international level)
  • Complete training – we will cover all major statistical topics and skills you need to become a marketing analyst, a business intelligence analyst, a data analyst, or a data scientist
  • Extensive Case Studies that will help you reinforce everything you’ve learned
  • Excellent support - if you don’t understand a concept or you simply want to drop us a line, you’ll receive an answer within 1 business day
  • Dynamic - we don’t want to waste your time! The instructor keeps up a very good pace throughout the whole course
  • Bonus prizes - upon completion of 50% and 100% of the course, you will receive two bonus gifts

Why do you need these skills?

  1. Salary/Income – careers in the field of data science are some of the most popular in the corporate world today. And, given that most businesses are starting to realize the advantages of working with the data at their disposal, this trend will only continue to grow
  2. Promotions – If you understand Statistics well, you will be able to back up your business ideas with quantitative evidence, which is an easy path to career growth
  3. Secure Future – as we said, the demand for people who understand numbers and data, and can interpret it, is growing exponentially; you’ve probably heard of the list of jobs that will be automated soon, right? Well, data science careers are  the ones doing the automating, not getting automated
  4. Growth - this isn’t a boring job. Every day, you will face different challenges that will challenge your existing skills and will require you to learn something new

Please bear in mind that the course comes with Udemy’s 30-day unconditional money-back guarantee. And why not give such a guarantee? We are certain this course will provide a ton of value for you.

Let's start learning together now!

Who is the target audience?
  • People who want a career in Data Science
  • People who want a career in Business Intelligence
  • Business analysts
  • Business executives
  • Individuals who are passionate about numbers and quant analysis
  • Anyone who wants to learn the subtleties of Statistics and how it is used in the business world
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Curriculum For This Course
58 Lectures
03:29:31
+
Introduction
1 Lecture 03:28
+
Sample or population data?
1 Lecture 03:56
+
The fundamentals of descriptive statistics
6 Lectures 21:18

Types of data
2 questions

Levels of measurement
02:57

Levels of measurement
2 questions

Categorical variables. Visualization techniques for categorical variables
04:06

Numerical variables. Using a frequency distribution table
03:24

Histogram charts
02:27

Cross tables and scatter plots
05:06
+
Measures of central tendency, asymmetry, and variability
6 Lectures 25:49
The main measures of central tendency: mean, median, mode
04:24

Measuring skewness
02:43

Measuring how data is spread out: calculating variance
05:58

Standard deviation and coefficient of variation
04:54

Calculating and understanding covariance
03:31

The correlation coefficient
04:19
+
Distributions
6 Lectures 16:29
Introduction to inferential statistics
01:14


What is a distribution
1 question


The Normal distribution
1 question

The standard normal distribution
02:51

Understanding the central limit theorem
03:40

The central limit theorem
1 question

Standard error
01:19
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Estimators and estimates
6 Lectures 23:36
Working with estimators and estimates
02:36

Estimators and estimates
1 question

Confidence intervals - an invaluable tool for decision making
02:30

Confidence intervals
1 question



Student's T distribution
1 question

Calculating confidence intervals within a population with an unknown variance
04:07

What is a margin of error and why is it important in Statistics?
04:38

Margin of error
1 question
+
Confidence intervals: advanced topics
4 Lectures 14:27
Calculating confidence intervals for two means with dependent samples
04:47

Calculating confidence intervals for two means with independent samples (part 1)
04:36

Calculating confidence intervals for two means with independent samples (part 2)
03:40

Calculating confidence intervals for two means with independent samples (part 3)
01:24
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Hypothesis testing: Introduction
3 Lectures 12:36

Null vs alternative
3 questions

Establishing a rejection region and a significance level
04:20

Rejection region and significance level
2 questions

Type I error vs Type II error
03:20

Type I error vs type II error
4 questions
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Hypothesis testing: Let's start testing!
6 Lectures 26:39
Test for the mean. Population variance known
06:07

What is the p-value and why is it one of the most useful tool for statisticians?
03:55

p-value
2 questions

Test for the mean. Population variance unknown
04:26

Test for the mean. Dependent samples
04:45

Test for the mean. Independent samples (Part 1)
03:38

Test for the mean. Independent samples (Part 2)
03:48
+
The fundamentals of regression analysis
6 Lectures 18:32
Introduction to regression analysis
01:02

Introduction
1 question


The linear regression model made easy
05:02

The linear regression model
2 questions

What is the difference between correlation and regression?
01:28

Correlation vs regression
1 question

A geometrical representation of the linear regression model
01:18

A practical example - Reinforced learning
05:36
2 More Sections
About the Instructor
365 Careers
4.5 Average rating
9,931 Reviews
75,465 Students
19 Courses
Creating opportunities for Business & Finance students

365 Careers is a firm specializing in high-end business, financial, data science, and office producitvity training programs. Our growing list of courses includes Excel (Microsoft Excel for Beginner and Advanced users), PowerPoint, Word, Outlook, Accounting, Finance 101, Investment Banking, Financial Modeling, Company Valuation, Financial Planning & Analysis, Job Hunting, Strategy, Management, Marketing, Decision Making and Negotiation, and Python trainings. Our goal is to provide to our students the practical instruments they will need in order to perform successfully at their future workplace.