Statistics: Estimation

By

Difficulty level

Beginner

Speaker

Type

Duration

08:04

Topic

Computational neuroscience

Finding parameter values, confidence intervals.

Topics covered in this lesson

Finding likely values by inference.
Parametric vs bootstrap methods.
Confidence level.
Accuracy vs precision.
Interpretation.
Confidence intervals.
Sample size.

Back to the course

Foundations of Data Science

Lessons

1

1

Mathematics for data science practitioners

2

2

Elementary Algebra

3

3

4

4

Systems of linear equations

5

5

6

6

Calculus and optimization

7

7

Mathematics: Big O

8

8

9

9

Mathematics: Bayes' theorem

10

10

Mathematics: Next steps

11

11

Statistics (intro)

12

12

Statistics: Exploration overview

13

13

Statistics: Exploratory graphics

14

14

Statistics: Exploratory statistics

15

15

Statistics: Descriptive statistics

16

16

Statistics: Inferential statistics

17

17

Statistics: Hypothesis testing

18

18

Statistics: Estimation

19

19

Statistics: Estimators

20

20

Statistics: Measures of fit

21

21

Statistics: Feature selection

22

22

Statistics: Problems in modelling

23

23

Statistics: Model validation

24

24

Statistics: Do it yourself!

25

25

Statistics: Next steps