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30-Day Money-Back Guarantee

This course includes:

  • 5 hours on-demand video
  • 28 articles
  • 98 downloadable resources
  • Full lifetime access
  • Access on mobile and TV
Development Data Science Business Analytics

Statistics for Data Science and Business Analysis

Statistics you need in the office: Descriptive & Inferential statistics, Hypothesis testing, Regression analysis
Bestseller
Rating: 4.5 out of 54.5 (19,701 ratings)
92,179 students
Created by 365 Careers, 365 Careers Team
Last updated 6/2020
English
English [Auto], French [Auto], 
30-Day Money-Back Guarantee

What you'll learn

  • Understand the fundamentals of statistics
  • 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
  • Make data driven decisions
  • Understand the mechanics of regression analysis
  • Carry out regression analysis
  • Use and understand dummy variables
  • Understand the concepts needed for data science even with Python and R!
Curated for the Udemy for Business collection

Course content

18 sections • 92 lectures • 4h 51m total length

  • Preview03:54
  • Download all resources
    00:16

  • Preview04:02
  • Population vs sample
    2 questions

  • Preview04:33
  • Types of data
    2 questions
  • Levels of measurement
    03:43
  • Levels of measurement
    2 questions
  • Categorical variables. Visualization techniques for categorical variables
    04:52
  • Categorical variables. Visualization Techniques
    1 question
  • Categorical variables. Visualization techniques. Exercise
    00:03
  • Numerical variables. Using a frequency distribution table
    03:09
  • Numerical variables. Using a frequency distribution table
    1 question
  • Numerical variables. Using a frequency distribution table. Exercise
    00:03
  • Histogram charts
    02:14
  • Histogram charts
    1 question
  • Histogram charts. Exercise
    00:03
  • Cross tables and scatter plots
    04:44
  • Cross Tables and Scatter Plots
    1 question
  • Cross tables and scatter plots. Exercise
    00:03

  • The main measures of central tendency: mean, median and mode
    04:20
  • Mean, median and mode. Exercise
    00:03
  • Measuring skewness
    02:37
  • Skewness
    1 question
  • Skewness. Exercise
    00:03
  • Measuring how data is spread out: calculating variance
    05:55
  • Variance. Exercise
    00:03
  • Standard deviation and coefficient of variation
    04:40
  • Standard deviation
    1 question
  • Standard deviation and coefficient of variation. Exercise
    00:03
  • Calculating and understanding covariance
    03:23
  • Covariance. Exercise
    00:03
  • The correlation coefficient
    03:17
  • Correlation
    2 questions
  • Correlation coefficient
    00:03

  • Practical example
    16:15
  • Practical example: descriptive statistics
    00:03

  • Introduction to inferential statistics
    01:00
  • What is a distribution?
    Preview04:33
  • What is a distribution
    1 question
  • The Normal distribution
    Preview03:54
  • The Normal distribution
    1 question
  • The standard normal distribution
    03:30
  • The standard normal distribution
    1 question
  • Standard Normal Distribution. Exercise
    00:03
  • Understanding the central limit theorem
    04:20
  • The central limit theorem
    1 question
  • Standard error
    01:26
  • Standard error
    1 question

  • Working with estimators and estimates
    03:07
  • Estimators and estimates
    1 question
  • Confidence intervals - an invaluable tool for decision making
    02:41
  • Confidence intervals
    1 question
  • Calculating confidence intervals within a population with a known variance
    Preview08:01
  • Confidence intervals. Population variance known. Exercise
    00:03
  • Confidence interval clarifications
    04:38
  • Preview03:22
  • Student's T distribution
    1 question
  • Calculating confidence intervals within a population with an unknown variance
    04:36
  • Population variance unknown. T-score. Exercise
    00:03
  • What is a margin of error and why is it important in Statistics?
    04:52
  • Margin of error
    1 question

  • Calculating confidence intervals for two means with dependent samples
    06:04
  • Confidence intervals. Two means. Dependent samples. Exercise
    00:03
  • Calculating confidence intervals for two means with independent samples (part 1)
    04:31
  • Confidence intervals. Two means. Independent samples (Part 1). Exercise
    00:03
  • Calculating confidence intervals for two means with independent samples (part 2)
    03:57
  • Confidence intervals. Two means. Independent samples (Part 2). Exercise
    00:03
  • Calculating confidence intervals for two means with independent samples (part 3)
    01:27

  • Practical example: inferential statistics
    10:05
  • Practical example: inferential statistics
    00:03

  • Preview05:51
  • Further reading on null and alternative hypotheses
    01:16
  • Null vs alternative
    3 questions
  • Establishing a rejection region and a significance level
    07:05
  • Rejection region and significance level
    2 questions
  • Type I error vs Type II error
    04:14
  • Type I error vs type II error
    4 questions

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

Is statistics a driving force in the industry you want to enter? Do you want to work as a Marketing Analyst, a Business Intelligence Analyst, 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 with TEMPLATES in Excel included!  

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

In no time, you will acquire the fundamental skills that will 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  

  • Packed with 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 that 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 of 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 to you. We want you to succeed, which is why the course aims 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 an 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 sets a very good pace throughout the whole course

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 number 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 test your existing skills and 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 this course is for:

  • 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
  • People who want to start learning statistics
  • People who want to learn the fundamentals of statistics

Featured review

Iasonas Tsimplis
Iasonas Tsimplis
32 courses
10 reviews
Rating: 5.0 out of 52 months ago
I have a BSc in Computer Science and currently doing MS in Data Science. As you may guess, there was not a true "introduction" in Statistics in my MS program, and my background was quite poor. This course explains everything in great detail, with many examples and is fantastic for a beginner. So far I've clearly understood everything, I'm really impressed. Thank you so much !!

Instructors

365 Careers
Creating opportunities for Business & Finance students
365 Careers
  • 4.5 Instructor Rating
  • 373,657 Reviews
  • 1,275,657 Students
  • 68 Courses

365 Careers is the #1 best-selling provider of finance courses on Udemy. The company’s courses have been taken by more than 1,000,000 students in 210 countries. People working at world-class firms like Apple, PayPal, and Citibank have completed 365 Careers trainings.  

Currently, the firm focuses on the following topics on Udemy:  

1) Finance – Finance fundamentals, Financial modeling in Excel, Valuation, Accounting, Capital budgeting, Financial statement analysis (FSA), Investment banking (IB), Leveraged buyout (LBO), Financial planning and analysis (FP&A), Corporate budgeting, applying Python for Finance, Tesla valuation case study, CFA, ACCA, and CPA

2) Data science – Statistics, Mathematics, Probability, SQL, Python programming, Python for Finance, Business Intelligence, R, Machine Learning, TensorFlow, Tableau, the integration of SQL and Tableau, the integration of SQL, Python, Tableau, Power BI, Credit Risk Modeling, and Credit Analytics

3) Entrepreneurship – Business Strategy, Management and HR Management, Marketing, Decision Making, Negotiation, and Persuasion, Tesla's Strategy and Marketing

4) Office productivity – Microsoft Excel, PowerPoint, Microsoft Word, and Microsoft Outlook

5) Blockchain for Business

All of the company’s courses are:  

Pre-scripted  

Hands-on  

Laser-focused  

Engaging  

Real-life tested  

By choosing 365 Careers, you make sure you will learn from proven experts, who have a passion for teaching, and can take you from beginner to pro in the shortest possible amount of time.  

If you want to become a financial analyst, a finance manager, an FP&A analyst, an investment banker, a business executive, an entrepreneur, a business intelligence analyst, a data analyst, or a data scientist, 365 Careers’ courses are the perfect place to start. 

365 Careers Team
Creating opportunities for Business & Finance students
365 Careers Team
  • 4.5 Instructor Rating
  • 106,162 Reviews
  • 452,870 Students
  • 3 Courses

365 Careers is the #1 best-selling provider of finance courses on Udemy. The company’s courses have been taken by more than 120,000 students in 199 countries. People working at world-class firms like Apple, PayPal, and Citibank have completed 365 Careers trainings.

Currently, the firm focuses on the following topics on Udemy:

1) Finance – Finance fundamentals, Financial modeling in Excel, Valuation, Accounting, Capital budgeting, Financial statement analysis (FSA), Investment banking (IB), Leveraged buyout (LBO), Financial planning and analysis (FP&A), Corporate budgeting, and applying Python for Finance

2) Data science – Statistics, SQL, Python, Business Intelligence, R, Machine Learning, and TensorFlow

3) Entrepreneurship – Business Strategy, Management and HR Management, Marketing, Decision Making, Negotiation, and Persuasion

4) Office productivity – Microsoft Excel, PowerPoint, Microsoft Word, and Microsoft Outlook

All of the company’s courses are:

  • Pre-scripted
  • Hands-on
  • Laser-focused
  • Engaging
  • Real-life tested

By choosing 365 Careers, you make sure you will learn from proven experts, who have a passion for teaching, and can to take you from beginner to pro in the shortest possible amount of time.

If you want to become a financial analyst, a finance manager, an FP&A analyst, an investment banker, a business executive, an entrepreneur, a business intelligence analyst, a data analyst, or a data scientist, 365 Careers’ courses are the perfect place to start. 

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