[UDEMY] Probability and Statistics for Business and Data Science - [FTU]

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[FreeTutorials.Eu] [UDEMY] Probability and Statistics for Business and Data Science - [FTU] 01 Introduction
  • 001 Course Overview Lecture - PLEASE DO NOT SKIP THIS-en.srt (9.6 KB)
  • 001 Course Overview Lecture - PLEASE DO NOT SKIP THIS.mp4 (25.4 MB)
  • 002 FAQ - Frequently Asked Questions.html (1.9 KB)
  • 002 Probability-and-Statistics-Part-1-Data.pdf (1.1 MB)
  • 002 Probability-and-Statistics-Part-2-Probability.pdf (751.1 KB)
  • 002 Probability-and-Statistics-Part-3-Distributions.pdf (765.2 KB)
  • 002 Probability-and-Statistics-Part-4-Statistics.pdf (1.6 MB)
  • 002 Probability-and-Statistics-Part-5-ANOVA.pdf (1.2 MB)
  • 002 Probability-and-Statistics-Part-6-Regression.pdf (894.0 KB)
  • 002 Probability-and-Statistics-Part-7-ChiSquare.pdf (584.7 KB)
02 Data
  • 003 What is Data-en.srt (13.1 KB)
  • 003 What is Data.mp4 (47.3 MB)
  • 004 Measuring Data-en.srt (19.7 KB)
  • 004 Measuring Data.mp4 (60.4 MB)
  • 005 Measurements of Central Tendency-en.srt (7.8 KB)
  • 005 Measurements of Central Tendency.mp4 (23.3 MB)
  • 006 Measurements of Dispersion-en.srt (13.4 KB)
  • 006 Measurements of Dispersion.mp4 (35.4 MB)
  • 007 Measurements - Quartiles-en.srt (8.1 KB)
  • 007 Measurements - Quartiles.mp4 (29.3 MB)
  • 008 Bi-variate Data and Covariance-en.srt (15.7 KB)
  • 008 Bi-variate Data and Covariance.mp4 (50.1 MB)
  • 009 Pearson Correlation Coefficient-en.srt (11.6 KB)
  • 009 Pearson Correlation Coefficient.mp4 (36.8 MB)
  • 010 Exercise01-Data-ANSWERS.pdf (173.4 KB)
  • 010 Exercise01-Data.pdf (128.6 KB)
  • 010 Section Assessment - Data.html (1.1 KB)
03 Probability
  • 011 What is Probability-en.srt (7.0 KB)
  • 011 What is Probability.mp4 (28.3 MB)
  • 012 Permutations-en.srt (11.2 KB)
  • 012 Permutations.mp4 (40.8 MB)
  • 013 Combinations-en.srt (10.0 KB)
  • 013 Combinations.mp4 (36.1 MB)
  • 014 Intersections Unions and Complements-en.srt (8.5 KB)
  • 014 Intersections Unions and Complements.mp4 (34.5 MB)
  • 015 Independent and Dependent Events-en.srt (8.0 KB)
  • 015 Independent and Dependent Events.mp4 (26.8 MB)
  • 016 Conditional Probability-en.srt (5.7 KB)
  • 016 Conditional Probability.mp4 (24.3 MB)
  • 017 Addition and Multiplication Rules-en.srt (7.6 KB)
  • 017 Addition and Multiplication Rules.mp4 (30.3 MB)
  • 018 Bayes Theorem-en.srt (16.4 KB)
  • 018 Bayes Theorem.mp4 (63.9 MB)
  • 019 Exercise02-Probability-ANSWERS.pdf (169.7 KB)
  • 019 Exercise02-Probability.pdf (116.2 KB)
  • 019 Section Assessment - Probability.html (1.1 KB)
04 Distributions
  • 020 Introduction to Distributions-en.srt (1.8 KB)
  • 020 Introduction to Distributions.mp4 (7.5 MB)
  • 021 Uniform Distribution-en.srt (2.7 KB)
  • 021 Uniform Distribution.mp4 (8.5 MB)
  • 022 Binomial Distribution-en.srt (18.6 KB)
  • 022 Binomial Distribution.mp4 (60.1 MB)
  • 023 Poisson Distribution-en.srt (26.2 KB)
  • 023 Poisson Distribution.mp4 (97.1 MB)
  • 024 Normal Distribution-en.srt (10.7 KB)
  • 024 Normal Distribution.mp4 (38.4 MB)
  • 025 Normal Distribution - Formulas and Z Scores-en.srt (21.2 KB)
  • 025 Normal Distribution - Formulas and Z Scores.mp4 (80.6 MB)
  • 026 Exercise03-Distributions-ANSWERS.pdf (149.0 KB)
  • 026 Exercise03-Distributions.pdf (115.1 KB)
  • 026 Section Assessment - Distributions.html (1.2 KB)
  • 027 DashScripts.zip (4.7 KB)
  • 027 Optional Resource - Dash Scripts.html (1.6 KB)
05 Statistics
  • 028 What is Statistics-en.srt (3.1 KB)
  • 028 What is Statistics.mp4 (13.5 MB)
  • 029 Sampling-en.srt (15.7 KB)
  • 029 Sampling.mp4 (74.4 MB)
  • 030 Central Limit Theorem-en.srt (5.6 KB)
  • 030 Central Limit Theorem.mp4 (23.1 MB)
  • 031 Standard Error-en.srt (10.3 KB)
  • 031 Standard Error.mp4 (46.1 MB)
  • 032 Hypothesis Testing-en.srt (16.6 KB)
  • 032 Hypothesis Testing.mp4 (66.3 MB)
  • 033 Hypothesis Testing Example Exercise 1-en.srt (7.4 KB)
  • 033 Hypothesis Testing Example Exercise 1.mp4 (34.2 MB)
  • 034 Hypothesis Testing Example Exercise 2-en.srt (6.3 KB)
  • 034 Hypothesis Testing Example Exercise 2.mp4 (24.6 MB)
  • 035 Type 1 and Type 2 Errors-en.srt (5.9 KB)
  • 035 Type 1 and Type 2 Errors.mp4 (29.7 MB)
  • 036 Students T Distribution-en.srt (16.1 KB)
  • 036 Students T Distribution.mp4 (56.4 MB)
  • 036 Table-t-distribution.pdf (594.9 KB)
  • 036 TTEST.xlsx (141.8 KB)
  • 037 Students T Distribution Example Exercise-en.srt (13.5 KB)
  • 037 Students T Distribution Example Exercise.mp4 (69.7 MB)
  • 038 Exercise04-Statistics-ANSWERS.pdf (154.1 KB)
  • 038 Exercise04-Statistics.pdf (113.5 KB)
  • 038 Section Assessment - Statistics.html (1.1 KB)
06 Analysis of Variance (ANOVA)
  • 039 Introduction to ANOVA-en.srt (2.1 KB)
  • 039 Introduction to ANOVA.mp4 (9.2 MB)
  • 040 ANOVA1.xlsx (149.7 KB)
  • 040 ANOVA2.xlsx (38.4 KB)
  • 040 ANOVA - Analysis of Variance-en.srt (11.3 KB)
  • 040 ANOVA - Analysis of Variance.mp4 (42.8 MB)
  • 041 ANOVAEXERCISE.xlsx (18.6 KB)
  • 041 F Distribution-en.srt (7.6 KB)
  • 041 F Distribution.mp4 (31.6 MB)
  • 041 Table-F-distribution.pdf (410.9 KB)
  • 042 ANOVA2WAY1.xlsx (37.3 KB)
  • 042 Two Way ANOVA Overview-en.srt (10.2 KB)
  • 042 Two Way ANOVA Overview.mp4 (49.9 MB)
  • 043 ANOVAEXERCISE.xlsx (18.6 KB)
  • 043 Two Way ANOVA Example Exercise-en.srt (7.8 KB)
  • 043 Two Way ANOVA Example Exercise.mp4 (35.0 MB)
  • 044 ANOVA2WAY2.xlsx (38.0 KB)
  • 044 Two Way ANOVA with Replication-en.srt (12.5 KB)
  • 044 Two Way ANOVA with Replication.mp4 (52.9 MB)
  • 045 Exercise05-ANOVA-ANSWERS.pdf (145.5 KB)
  • 045 Exercise05-ANOVA.pdf (112.1 KB)
  • 045 Section

Description



Learn how to apply probability and statistics to real data science and business applications!

Created by : Jose Portilla, Pierian Data Inc.
Last updated : 11/2018
Language : English
Subtitle : Included
Torrent Contains : 137 Files, 9 Folders
Course Source : https://www.udemy.com/probability-and-statistics-for-business-and-data-science/

What you'll learn

• Understand the basics of probability
• Be able to implement basic statistics
• Understand how to use various statistical distributions
• Apply statistical methods and hypothesis testing to business problems
• Understand how regression models work
• Implement one way and two way ANOVA
• Understand Chi Squared Tests
• Be able to understand different types of data

Requirements

• Paper and Pencil to take notes
• Optional: Excel or Python to run simulations

Description

Welcome to Probability and Statistics for Business and Data Science!

In this course we cover what you need to know about probability and statistics to succeed in business and the data science field!

This practical course will go over theory and implementation of statistics to real world problems. Each section has example problems, in course quizzes, and assessment tests.

We’ll start by talking about the basics of data, understanding how to examine it with measurements of central tendency, dispersion, and also building an understanding of how bivariate data sources can relate to each other.

Afterwards we’ll dive into probability , learning about combinations and permutations, as well as conditional probability and how to apply bayes theorem.

Then we’ll move on to discussing the most common distributions found in statistics, creating a solid foundation of understanding how to work with uniform, binomial, poisson, and normal distributions.

Up next we’ll talk about statistics, applying what we’ve learned so far to real world business cases, including hypothesis testing and the student's T distribution.

We’ll end the course with 3 sections on advanced topics, such as ANOVA (analysis of variance), understanding regression analysis, and finally performing chi squared analysis.

The sections are modular and organized by topic, so you can reference what you need and jump right in!

Our course includes HD Video with clear explanations and high quality animations, we also include extensive case studies to show you how to apply this knowledge to the real world.

We'll cover everything you need to know about statistics and probability to clearly tackle real world business and data science problems!

Including :

• Measurements of Data
• Mean, Median, and Mode
• Variance and Standard Deviation
• Co-variance and Correlation
• Permutations and Combinations
• Unions and Intersections
• Conditional Probability
• Bayes Theorem
• Binomial Distribution
• Poisson Distribution
• Normal Distribution
• Sampling
• Central Limit Theorem
• Hypothesis Testing
• T-Distribution Testing
• Regression Analysis
• ANOVA
• Chi Squared
• and much more!

Not only do you get great technical content, but you’ll also have access to our online QA forums as well as our student chat channel. Where the TAs and myself are happy to help out with any questions you encounter! Upon finishing this course you’ll receive a certificate of completion you can post on your linkedin profile to show off to your colleagues, or even potential employers!

All of this content comes with a 30 day money back guarantee, so you can try out the course risk free!


So what are you waiting for? Enroll today and we'll see you inside the course!

Who is the target audience?

• Someone interested in learning how to apply probability and statistics to business or data science

For More Udemy Free Courses >>> http://www.freetutorials.eu
For more Lynda and other Courses >>> https://www.freecoursesonline.me/
Our Forum for discussion >>> https://discuss.freetutorials.eu/






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[UDEMY] Probability and Statistics for Business and Data Science - [FTU]


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Download torrent
1.7 GB
seeders:27
leechers:20
[UDEMY] Probability and Statistics for Business and Data Science - [FTU]


Torrent hash: 9FA212AA600D14A572998C037EB5B900E10948E0