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# STA 517 3.0 Programming and Statistical Computing with R
## 🎉
### 
### Dr Thiyanga Talagala
### Lecture 1: Getting Started

---

## Lecturer-in-charge and Chief Examiner

.pull-left[

- Dr Thiyanga S. Talagala

- PhD in Statistics (2019), Monash University, Australia

- BSc (Hons, Special) Statistics, University of Sri Jayewardenepura
      
      - Batch first and Professor R A Dayananda Gold Medalist 
      
]

.pull-right[
      
- Research interests

- Data visualization
      
      - Computer vision
      
      - Time series forecasting
      
      - Machine learning and interpretability methods
      
      - Statistical computing
      
]
      
- Personal website: https://thiyanga.netlify.app/
---

## Requirements

- Each student is required to join both lectures and exams with a computer with R and RStudio installed.

- Internet connection.

---

## Course website

<iframe src="https://hellor.netlify.app/mscschedule/" width="100%" height="400px" data-external="1"></iframe>

https://hellor.netlify.app/mscschedule/
---

## Course outline

<iframe src="https://hellor.netlify.app/msc/STA_517_3_0_Programming_and_Data_Analysis_with_R_MSc_2020.pdf" width="100%" height="400px" data-external="1"></iframe>

---

## Help us to help you!

.pull-left[
![](week1/solo-houses_thumb.jpeg)
]

--

.pull-right[

- Use the LMS forum to ask questions.

- Feel free to answer each others questions.

- I will also provide answers.

- Email ttalagala@sjp.ac.lk only for issues that are personal.

- For details on consultation see course website.

]

---

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# Additional resources

---

## R Ladies

![](useR2019-Rladies.jpeg)

---

## R Ladies

<iframe src="https://rladies.org/" width="100%" height="400px" data-external="1"></iframe>

---

## R Ladies Colombo

<iframe src="https://rladiescolombo.netlify.app/" width="100%" height="400px" data-external="1"></iframe>

---

## Other

- Stack Overflow: question and answer website for professional and enthusiast programmers

- Cousera

- DataCamp

- Udemy etc.

---

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background-position: center
background-size: cover

---
background-image: url('job1.png')
background-position: center
background-size: cover

---
background-image: url('job2.png')
background-position: center
background-size: cover

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background-image: url('job3.png')
background-position: center
background-size: cover

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background-image: url('job4.png')
background-position: center
background-size: cover

---

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# Buckle up - Let's get started.

Notes for current slide

Notes for next slide

STA 517 3.0 Programming and Statistical Computing with R🎉 Dr Thiyanga TalagalaLecture 1: Getting Started1

Lecturer-in-charge and Chief Examiner

Dr Thiyanga S. Talagala
PhD in Statistics (2019), Monash University, Australia
BSc (Hons, Special) Statistics, University of Sri Jayewardenepura
- Batch first and Professor R A Dayananda Gold Medalist

Research interests
- Data visualization
- Computer vision
- Time series forecasting
- Machine learning and interpretability methods
- Statistical computing

Personal website: https://thiyanga.netlify.app/

2

Requirements

Each student is required to join both lectures and exams with a computer with R and RStudio installed.
Internet connection.

3

Course website

https://hellor.netlify.app/mscschedule/

4

Course outline5

Help us to help you!

6

Help us to help you!

Use the LMS forum to ask questions.
Feel free to answer each others questions.
I will also provide answers.
Email ttalagala@sjp.ac.lk only for issues that are personal.
For details on consultation see course website.

7

Additional resources8

R Ladies

9

R Ladies10

R Ladies Colombo11

Other

Stack Overflow: question and answer website for professional and enthusiast programmers
Cousera
DataCamp
Udemy etc.

12

13

14

15

16

17

Buckle up - Let's get started.18

Lecturer-in-charge and Chief Examiner

Dr Thiyanga S. Talagala
PhD in Statistics (2019), Monash University, Australia
BSc (Hons, Special) Statistics, University of Sri Jayewardenepura
- Batch first and Professor R A Dayananda Gold Medalist

Research interests
- Data visualization
- Computer vision
- Time series forecasting
- Machine learning and interpretability methods
- Statistical computing

Personal website: https://thiyanga.netlify.app/

2

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