Udemy – Math for Data Science Masterclass 2023-4[1fileword]

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  • TypeTutorials
  • LanguageEnglish
  • Total size2.1 GB
  • Uploaded ByPolara121
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  • Last checkedAug. 05th '23
  • Date uploadedAug. 04th '23
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Math for Data Science Masterclass, the advanced Math for Data Science course is published by Udemy Academy. Christa King and Jose Portilla have teamed up to create a first-of-its-kind course to give you the best learning experience on how to use math to solve real-world data science problems. This course is specifically designed to help you understand the mathematical concepts of data science, so you can have a solid understanding of how to effectively use data in an organization. Most students entering the field of data science are confused about where to start with basic mathematics.

This course is specifically designed to help bridge this gap and provide students with a clear and guided path into the complex and interesting world of mathematics used in data science. This is the learning experience for anyone who wants to really understand data science. At the end of each section is a set of practical problems drawn from real companies where you can directly apply what you know to test your concepts.

In this lesson, we will discuss the following:
Understanding data concepts
Different ways to visualize data
Permutations
Combinations
Bayes theorem
Random variables
Common distributions
Covariance and correlation
What you will learn
Understand the basic concepts of data quality and quantity
Discover how to visualize data with various types of plots
Understand the key ideas in using probability to solve problems
Understanding the concepts of normal distribution
Understanding the hypothesis test on sample groups
Getting to know how to measure data with statistics
Using combinations to calculate permutations and combinations of objects
Learn how to use data distributions with real data
Using sampling and central limit theorem
Principles of linear regression
Who is this course suitable for?
Anyone interested in learning more about the mathematics of data science
Details of the Math for Data Science Masterclass course
Publisher: Udemy
Instructor: Jose Portilla , Krista King
English language
Education level: all levels
Number of courses: 68
Training duration: 16 hours and 7 minutes
Head of the seasons
Math for Data Science Masterclass
Course prerequisites
Only basic arithmetic skills are needed, we’ll teach you the rest

Files:

Udemy_Math_for_Data_Science_Masterclass_2023_4 Udemy - Math for Data Science Masterclass 2023-4 06 - Joint Distributions
  • 004 Joint Distribution Practice Problem Set and Answers.html (0.1 KB)
  • 004 05-Joint-Distributions-Practice-Questions.pdf (20.0 KB)
  • 003 Pearson Correlation Coefficient_en.srt (21.5 KB)
  • 002 Covariance_en.srt (25.7 KB)
  • 001 Introduction to Joint Distributions_en.srt (30.9 KB)
  • 004 05-Joint-Distributions-Practice-Questions-Answers.pdf (70.0 KB)
  • 002 Covariance.mp4 (35.8 MB)
  • 003 Pearson Correlation Coefficient.mp4 (36.4 MB)
  • 001 Introduction to Joint Distributions.mp4 (57.0 MB)
08 - The Normal Distribution
  • 006 Normal Distribution Practice Problem Set and Answers.html (0.1 KB)
  • 004 Standard Normal Distribution_en.srt (11.4 KB)
  • 003 Normal Distribution_en.srt (20.6 KB)
  • 002 Mean, Variance, and Standard Deviation_en.srt (22.1 KB)
  • 001 Introduction to The Normal Distribution_en.srt (23.3 KB)
  • 006 07-The-Normal-Distribution-Practice-Questions.pdf (23.4 KB)
  • 005 Z-Scores_en.srt (25.6 KB)
  • 006 07-The-Normal-Distribution-Practice-Questions-Answers.pdf (87.2 KB)
  • 004 Standard Normal Distribution.mp4 (13.6 MB)
  • 002 Mean, Variance, and Standard Deviation.mp4 (26.9 MB)
  • 003 Normal Distribution.mp4 (30.3 MB)
  • 005 Z-Scores.mp4 (60.8 MB)
  • 001 Introduction to The Normal Distribution.mp4 (63.0 MB)
07 - Data Distributions
  • 010 Data Distributions Practice Problem Set and Answers.html (0.1 KB)
  • 003 Discrete Uniform Distribution - Dice Roll_en.srt (8.9 KB)
  • 005 Continuous Uniform Distribution - Voltage_en.srt (14.9 KB)
  • 008 Bernoulli Distribution_en.srt (17.7 KB)
  • 006 Cumulative Distribution Functions_en.srt (18.3 KB)
  • 009 Poisson Distribution_en.srt (18.8 KB)
  • 002 Probability Mass Functions_en.srt (19.5 KB)
  • 010 06-Data-Distributions-Practice-Questions.pdf (20.3 KB)
  • 001 Introduction to Data Distributions_en.srt (22.7 KB)
  • 004 Probability Density Functions_en.srt (24.7 KB)
  • 007 Binomial Distribution_en.srt (29.9 KB)
  • 010 06-Data-Distributions-Practice-Questions-Answers.pdf (67.0 KB)
  • 003 Discrete Uniform Distribution - Dice Roll.mp4 (9.9 MB)
  • 005 Continuous Uniform Distribution - Voltage.mp4 (16.3 MB)
  • 006 Cumulative Distribution Functions.mp4 (22.4 MB)
  • 008 Bernoulli Distribution.mp4 (24.4 MB)
  • 002 Probability Mass Functions.mp4 (25.3 MB)
  • 009 Poisson Distribution.mp4 (28.3 MB)
  • 004 Probability Density Functions.mp4 (33.3 MB)
  • 007 Binomial Distribution.mp4 (43.9 MB)
  • 001 Introduction to Data Distributions.mp4 (45.9 MB)
11 - Regression
  • 007 Regression Practice Problem Set and Answers.html (0.1 KB)
  • 002 Scatterplots and Regression_en.srt (11.4 KB)
  • 001 Introduction to Regression_en.srt (17.4 KB)
  • 005 Chi-Square Tests_en.srt (23.0 KB)
  • 004 Coefficient of Determination and the RMSE_en.srt (23.8 KB)
  • 003 Correlation Coefficient and the Residual_en.srt (31.3 KB)
  • 007 10-Regression-Practice-Questions.pdf (33.3 KB)
  • 006 ANOVA_en.srt (35.6 KB)
  • 007 10-Regression-Practice-Questions-Answers.pdf (58.5 KB)
  • 002 Scatterplots and Regression.mp4 (14.7 MB)
  • 001 Introduction to Regression.mp4 (32.5 MB)
  • 005 Chi-Square Tests.mp4 (39.9 MB)
  • 004 Coefficient of Determination and the RMSE.mp4 (41.4 MB)
  • 003 Correlation Coefficient and the Residual.mp4 (47.1 MB)
  • 006 ANOVA.mp4 (54.8 MB)
09 - Sampling
  • 006 Sampling Practice Problem Set and Answers.html (0.1 KB)
  • 004 The Student's t-Distribution_en.srt (15.1 KB)
  • 001 Introduction to Sampling_en.srt (20.7 KB)
  • 005 Confidence Interval for the Mean_en.srt (27.9 KB)
  • 006 08-Sampling-Practice-Questions.pdf (28.9 KB)
  • 003 The Central Limit Theorem_en.srt (30.7 KB)
  • 002 Sampling and Bias_en.srt (38.6 KB)
  • 006 08-Sampling-Practice-Questions-Answers.pdf (59.8 KB)
  • 004 The Student's t-Distribution.mp4 (22.3 MB)
  • 001 Introduction to Sampling.mp4 (38.3 MB)
  • 005 Confidence Interval for the Mean.mp4 (39.1 MB)
  • 003 The Central Limit Theorem.mp4 (39.6 MB)
  • 002 Sampling and Bias.mp4 (50.0 MB)
10 - Hypothesis Testing
  • 007 Hypothesis Testing Practice Problem Set and Answers.html (0.1 KB)
  • 002 Inferential Statistics and Hypotheses_en.srt (17.0 KB)
  • 004 Test Statistics for One- and Two-Tailed Tests_en.srt (19.5 KB)
  • 001 Introduction to Hypothesis Testing_en.srt (23.5 KB)
  • 003 Significance Level and Type I and II Errors_en.srt (25.8 KB)
  • 007 09-Hypothesis-Testing-Practice-Questions.pdf (26.8 KB)
  • 005 The p-Value and Rejecting the Null_en.srt (29.7 KB)
  • 006 AB Testing_en.srt (31.0 KB)
  • 007 09-Hypothesis-Testing-Practice-Questions-Answers.pdf (91.3 KB)
  • 002 Inferential Statistics and Hypotheses.mp4 (23.3 MB)
  • 004 Test Statistics for One- and Two-Tailed Tests.mp4 (32.0 MB)
  • 003 Significance Level and Type I and II Errors.mp4 (32.7 MB)
  • 006 AB Testing.mp4 (33.2 MB)
  • 005 The p-Value and Rejecting the Null.mp4 (55.1 MB)
  • 001 Introduction to Hypothesis Testing.mp4 (68.0 MB)
  • Readme.txt (0.1 KB)
    • 04 - Combinatorics
    • 005 Combinatorics Practice Problem Set and Answers.html (0.1 KB)
    • 003 Permutations_en.srt (16.7 KB)
    • 001 Introduction to Combinatorics_en.srt (18.2 KB)
    • 004 Combinations_en.srt (19.2 KB)
    • 005 03-Combinatorics-Practice-Questions.pdf (21.0 KB)
    • 002 Factorials_en.srt (23.0 KB)
    • 005 03-Combinatorics-Practice-Questions-Answers.pdf (59.2 KB)
    • 003 Permutations.mp4 (15.1 MB)
    • 002 Factorials.mp4 (22.6 MB)
    • 004 Combinations.mp4 (27.2 MB)
    • 001 Introduction to Combinatorics.mp4 (60.1 MB)
    05 - Probability
    • 009 Probability Practice Problem Set and Answers.html (0.1 KB)
    • 005 Bayes' Theo

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