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Students Before applying any data science model its always a good practice to understand the true nature of your data. In this Course we will cover fundamentals and applications of statistical modelling. We will use R Programming Language to run this analysis. We will start with Math, Data Distribution and statistical concepts then by using plots and charts we will interpret our data. We will use statistical modelling to prove our claims and use hypothesis testing to confidently make inferences.

This course is divided into 3 Parts

In the 1st section we will cover following concepts

1. Normal Distribution

2. Binomial Distribution

3. Chi-Square Distribution

4. Densities

5. Cumulative Distribution function CDF

6. Quantiles

7. Random Numbers

8. Central Limit Theorem CLT

9. R Statistical Distribution

10. Distribution Functions

11. Mean

12. Median

13. Range

14. Standard deviation

15. Variance

16. Sum of squares

17. Skewness

18. Kurtosis

2nd Section

1. Bar Plots

2. Histogram

3. Pie charts

4. Box plots

5. Scatter plots

6. Dot Charts

7. Mat Plots

8. Plots for groups

9. Plotting datasets

3rd Section of this course will elaborate following concepts

1. Parametric tests

2. Non-Parametric Tests

3. What is statistically significant means?

4. P-Value

5. Hypothesis Testing

6. Two-Tailed Test

7. One Tailed Test

8. True Population mean

9. Hypothesis Testing

10. Proportional Test

11. T-test

12. Default t-test / One sample t-test

13. Two-sample t-test / Independent Samples t-test

14. Paired sample t-test

15. F-Tests

16. Mean Square Error MSE

17. F-Distribution

18. Variance

19. Sum of squares

20. ANOVA Table

21. Post-hoc test

22. Tukey HSD

23. Chi-Square Tests

24. One sample chi-square goodness of fit test

25. chi-square test for independence

26. Correlation

27. Pearson Correlation

28. Spearman Correlation

In all the analysis we will practically see the real world applications using data sets csv files and r built in Datasets and packages.

- Statistical modelling in R with real world examples and datasets
- Develop and execute Hypothesis 1-tailed and 2-tailed tests in R
- Understand statistical Data Distributions and their functions in R
- Custom Data visualisations using R with limitations and interpretation
- Applications of Statistical tests

- Course will teach how to install R and R-studio on Windows OS
- Students should know and familiar with MAC/Linux distribution software installation, if they are using one.
- Should know basic R fundamentals such as vectors, data frames etc.

Course consist of total 4hr 57min of content

19:14

All Exercise files downloadable link

Get maximum of Learning

42:39

1:36:42

Bar plots for groups

07:49

Pie Charts and Graphical Parameters

10:36

Finishing Pie charts

06:51

Histograms

15:28

Understanding Urban Population of US using Histogram

02:55

Box Plots

09:07

Box plots for groups.

03:44

Scatter Plots

15:03

Mat Plots

09:02

2:17:23

Statistical tests PDF for reference

Statistical tests

22:09

Power of a test; Type 1 and 2 errors

Data Distribution and Simulation Finished

10:48

Single Proportional Test

15:01

Double Proportion

05:38

T-Test Overview

06:07

One Sample T-Test Default T-Test

06:57

Two sample T-Test Independent sample T-test

11:34

Paired T-Test.

10:27

F-Test ANOVA Tukey HSD

06:27

Performing F-Test ANOVA Tukey HSD

12:39

Chi-Square test for Independence

07:05

Correlation Test

14:50

01:20

Good Bye

01:20

Jazeb Akram is a Data Scientist and has been working as a Developer consultant. He has been working as a Freelancer since 2011. He designed various Applications for many companies and also training individuals on development tools and languages. Jazeb Also has a university degree in computer science from the University of the Punjab, Pakistan, and a master's degree in Data Science from Western Sydney University, Australia.

You can read his full portfolio on his website jazebakram.com

Another Jazeb’s passion is teaching. He has joined the world's best learning platforms as an online instructor. Jazeb Akram says that the reason he came into teaching is his successful freelance experience because he loves to teach and gets very passionate and assisting others to achieve success in programming. That’s why at the end of his courses, students develop unique skill sets that they can use in a real-life and improve their career.

Jazeb loves to travel and explore new places.

On BitDegree, you have an opportunity to be guided by this amazing instructor to learn programming, complete projects and build apps. Jazeb Akram will teach you JavaScript, PHP, CSS, SQL and more. Choose the best course for you and dive into learning today!