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£25
£25
On-Demand course
11 hours 27 minutes
All levels
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Section 01: Let's get started | |||
Welcome! | 00:02:00 | ||
What will you learn in this course? | 00:06:00 | ||
How can you get the most out of it? | 00:06:00 | ||
Section 02: Descriptive statistics | |||
Intro | 00:03:00 | ||
Mean | 00:06:00 | ||
Median | 00:05:00 | ||
Mode | 00:04:00 | ||
Mean or Median? | 00:08:00 | ||
Skewness | 00:08:00 | ||
Practice: Skewness | 00:01:00 | ||
Solution: Skewness | 00:03:00 | ||
Range & IQR | 00:10:00 | ||
Sample vs. Population | 00:05:00 | ||
Variance & Standard deviation | 00:11:00 | ||
Impact of Scaling & Shifting | 00:19:00 | ||
Statistical moments | 00:06:00 | ||
Section 03: Distributions | |||
What is a distribution? | 00:10:00 | ||
Normal distribution | 00:09:00 | ||
Z-Scores | 00:13:00 | ||
Practice: Normal distribution | 00:04:00 | ||
Solution: Normal distribution | 00:07:00 | ||
Section 04: Probability theory | |||
Intro | 00:01:00 | ||
Probability Basics | 00:10:00 | ||
Calculating simple Probabilities | 00:05:00 | ||
Practice: Simple Probabilities | 00:01:00 | ||
Quick solution: Simple Probabilities | 00:01:00 | ||
Detailed solution: Simple Probabilities | 00:06:00 | ||
Rule of addition | 00:13:00 | ||
Practice: Rule of addition | 00:02:00 | ||
Quick solution: Rule of addition | 00:01:00 | ||
Detailed solution: Rule of addition | 00:07:00 | ||
Rule of multiplication | 00:11:00 | ||
Practice: Rule of multiplication | 00:01:00 | ||
Solution: Rule of multiplication | 00:03:00 | ||
Bayes Theorem | 00:10:00 | ||
Bayes Theorem - Practical example | 00:07:00 | ||
Expected value | 00:11:00 | ||
Practice: Expected value | 00:01:00 | ||
Solution: Expected value | 00:03:00 | ||
Law of Large Numbers | 00:08:00 | ||
Central Limit Theorem - Theory | 00:10:00 | ||
Central Limit Theorem - Intuition | 00:08:00 | ||
Central Limit Theorem - Challenge | 00:11:00 | ||
Central Limit Theorem - Exercise | 00:02:00 | ||
Central Limit Theorem - Solution | 00:14:00 | ||
Binomial distribution | 00:16:00 | ||
Poisson distribution | 00:17:00 | ||
Real life problems | 00:15:00 | ||
Section 05: Hypothesis testing | |||
Intro | 00:01:00 | ||
What is a hypothesis? | 00:19:00 | ||
Significance level and p-value | 00:06:00 | ||
Type I and Type II errors | 00:05:00 | ||
Confidence intervals and margin of error | 00:15:00 | ||
Excursion: Calculating sample size & power | 00:11:00 | ||
Performing the hypothesis test | 00:20:00 | ||
Practice: Hypothesis test | 00:01:00 | ||
Solution: Hypothesis test | 00:06:00 | ||
T-test and t-distribution | 00:13:00 | ||
Proportion testing | 00:10:00 | ||
Important p-z pairs | 00:08:00 | ||
Section 06: Regressions | |||
Intro | 00:02:00 | ||
Linear Regression | 00:11:00 | ||
Correlation coefficient | 00:10:00 | ||
Practice: Correlation | 00:02:00 | ||
Solution: Correlation | 00:08:00 | ||
Practice: Linear Regression | 00:01:00 | ||
Solution: Linear Regression | 00:07:00 | ||
Residual, MSE & MAE | 00:08:00 | ||
Practice: MSE & MAE | 00:01:00 | ||
Solution: MSE & MAE | 00:03:00 | ||
Coefficient of determination | 00:12:00 | ||
Root Mean Square Error | 00:06:00 | ||
Practice: RMSE | 00:01:00 | ||
Solution: RMSE | 00:02:00 | ||
Section 07: Advanced regression & machine learning algorithms | |||
Multiple Linear Regression | 00:16:00 | ||
Overfitting | 00:05:00 | ||
Polynomial Regression | 00:13:00 | ||
Logistic Regression | 00:09:00 | ||
Decision Trees | 00:21:00 | ||
Regression Trees | 00:14:00 | ||
Random Forests | 00:13:00 | ||
Dealing with missing data | 00:10:00 | ||
Section 08: ANOVA (Analysis of Variance) | |||
ANOVA - Basics & Assumptions | 00:06:00 | ||
One-way ANOVA | 00:12:00 | ||
F-Distribution | 00:10:00 | ||
Two-way ANOVA - Sum of Squares | 00:16:00 | ||
Two-way ANOVA - F-ratio & conclusions | 00:11:00 | ||
Section 09: Wrap up | |||
Wrap up | 00:01:00 | ||
Order Your Certificate | |||
Order Your Certificate | 00:00:00 |
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