This course includes exam only. 

SVBook Advanced Certificate in Data Science are given to people who have completed the following courses: 

- Learn Microsoft Excel Basics Fast 

- Learn Data Analysis using Microsoft Excel Basics Fast

- Data Mining with RapidMiner

- Introduction to Data and Text Mining with DSTK 3 (FREE)

and passed a 54 questions Exam. The four courses are created to help learner understand about Data Science using softwares, without programming with R, Python or Java. 

Learner will be able to use Microsoft Office and analyze data using Microsoft Excel. 

You will receive 4 Udemy coupons to learn the four courses and take the exam. 

JUST $18.90

This course includes exam only. 

SVBook Advanced Certificate in Microsoft Office are given to people who have completed the following courses: 

- Learn Microsoft Word Basics Fast 

- Learn Microsoft PowerPoint Basics Fast 

- Learn Microsoft Excel Basics Fast 

- Learn Data Analysis using Microsoft Excel Basics Fast

and passed a 45 questions Exam. The four courses are created to help learner understand about Microsoft Office. 

Learner will be able to use Microsoft Office and analyze data using Microsoft Excel. 

** If you faced any disabilities, we can gives you free books, courses, and softwares. Email: gohminghui88@svbook.com

JUST $18.90

This course includes exam only. 

SVBook Advanced Certificate in Microsoft Office are given to people who have completed the following courses: 

- Learn Microsoft Word Basics Fast 

- Learn Microsoft PowerPoint Basics Fast 

- Learn Microsoft Excel Basics Fast 

and passed a 34 questions Exam. The three courses are created to help learner understand about Microsoft Office. 

Learner will be able to use Microsoft Office and get a job in basic office positions. 

** If you faced any disabilities, we can gives you free books, courses, and softwares. Email: gohminghui88@svbook.com

JUST $18.90

This course includes exam only. 

SVBook Certified Data Miner using Python are given to people who have completed the following courses: 

- Create Your Calculator: Learn Python Programming Basics Fast (Python Basics)

- Applied Statistics using Python with Data Processing (Data Understanding and Data Preparation)

- Advanced Data Visualizations using Python with Data Processing (Data Understanding and Data Preparation, in future)

- Machine Learning with Python (Modeling and Evaluation)

Learner will be able to do data mining project after learning the courses. 

JUST $18.90

This course includes exam only. 

SVBook Certified Data Miner using R are given to people who have completed the following courses: 

- Create Your Calculator: Learn R Programming Basics Fast (R Basics)

- Applied Statistics using R with Data Processing (Data Understanding and Data Preparation)

- Advanced Data Visualizations using R with Data Processing (Data Understanding and Data Preparation, in future)

- Machine Learning with R (Modeling and Evaluation)

Learner will be able to do data mining project after learning the courses. 

JUST $18.90

This course includes exam only

SVBook Advanced Certificate in Data Visualization and Front End Web Development are given to people who have completed the following courses: 

- Learn HTML Basics Fast 

- Learn CSS Basics Fast 

- Learn Javascript Basics Fast 

- Learn Bootstrap Basics Fast 

- Fundamentals of Plotly JS for Data Visualization 

Learner will be able to create Interactive Data Visualization using Front End Web Design and Development. 

JUST $18.90

This course includes exam only. 

SVBook Advanced Certificate in Software Development are given to people who have completed the following courses: 

- Create Your Calculator: Learn R Programming Basics Fast 

- Create Your Calculator: Learn Python Programming Basics Fast 

- Create Your Calculator: Learn C Programming Basics Fast 

- Create Your Calculator: Learn C# Programming Basics Fast 

- Create Your Calculator: Learn Java Programming Basics Fast 

- Create Your WebBrowser: Learn C# Fundamentals Practically 

Learner will be able program R, Python, C, C#, Java after the courses 

JUST $18.90

Have you ever wanted to learn Python Programming for data mining? This course is for you. This course is specially designed for you to quickly and easily gain all the fundamental skills of Python to do simple data mining, regardless of your background.

We will covers:

- Getting Started

- Formatting

- Basic Functions

- Data Mining Process (CRISP)

- Data Understanding: Data Visualization (basic plottings)

- Data Analytics Plugins

- Data Undestanding: Descriptive Statistics

- Data Understanding: Inferential Statistics

- Data Understanding: Regression Analysis

- Data Understanding: Pivot Table and Pivot Charts

- Data Preparation: Basic Data Cleaning


The above course follows CRISP DM process. 

You will need to bring your own laptop. 

Location is in Singapore.

$240 SGD. To Join, 

Follow us at our Meetup Events: 

You will receive 4 course Coupons to access the courses for FREE: 

- Learn Microsoft Excel Basics Fast 

- Learn Data Analysis using Microsoft Excel Basics Fast

- Data Mining with RapidMiner

- Introduction to Data and Text Mining with DSTK 3 (FREE)

After completing the 4 courses, you will earn 4 Udemy Certificates. After passing the exams, you will receive SVBook Advanced Certificate in Data Science (cost 70 usd, but free in this course) . 

Have you ever wanted to learn Python Programming for data mining? This course is for you. This course is specially designed for you to quickly and easily gain all the fundamental skills of Python to do simple data mining, regardless of your background.

We will covers:

- Getting Started

- Variables and data types

- Data Frame

- Decision Making (if statements)

- Import CSV

- Data Mining Process (CRISP)

- Data Understanding: Descriptive Statistics

- Data Understanding: Data Visualization (basic plottings)

- Data Preparation: Basic Data Cleaning

- Modeling: Simple Prediction Modeling (Regressions, Naives Bayes, KNN)

- Evaluation (Confusion matrix)

The above course follows CRISP DM process. 

You will need to bring your own laptop. 

Location is in Singapore.

$240 SGD. To Join, 

Follow us at our Meetup Events: 

You will receive 4 course Coupons to access the courses for FREE: 

- Create Your own Calculator: Learn Python Programming Basics Fast (Python Basics) 

- Applied Statistics using Python with Data Processing (Data Understanding and Data Preparation) 

- Advanced Data Visualizations using Python with Data Processing (Data Understanding and Data Preparation) 

- Machine Learning using Python (Modeling and Evaluation) 

After completing the 4 courses, you will earn 4 Udemy Certificates. After passing the exams, you will receive SVBook Certified Data Miner using Python Certificate (cost 70 usd, but free in this course) . 

This is the bite size course to learn Data Mining using RapidmIner. This course uses CRISP DM data mining process.

You will learn RapidMiner to do data understanding, data preparation, modeling, Evaluation. You will be able to train your own prediction models with naive bayes, decision tree, knn, neural network, linear regression, and evaluate your models very soon after learning the course.

You can take the course as follow and you can take an exam at EMHAcademy to get SVBook Advance Certificate in Data Science using DSTK, Excel, RapidMiner:

- Introduction to Data and Text Mining using DSTK 3

- Data Mining with RapidMiner

- Learn Microsoft Excel Basics Fast

- Learn Data Aalysis using Microsoft Excel Basics Fast.

Content

1. Getting Started

2. Getting Started 2

3. Data Mining Process

4. Download Data Set

5. Read CSV

6. Data Understanding: Statistics

7. Data Understanding: Scatterplot

8. Data Understanding: Line

9. Data Understanding: Bar

10. Data Understanding: Histogram

11. Data Understanding: BoxPLot

12. Data Understanding: Pie

13. Data Understanding: Scatterplot Matrix

14. Data Preparation: Normalization

15. Data Preparation: Replace Missing Values

16. Data Preparation: Remove Duplicates

17. Data Preparation: Detect Outlier

18. Modeling: Simple Linear Regression

19. MOdeling: SImple Linear Regression using RapidMiner

20. MOdeling: KMeans CLustering

21. Modeling: KMeans Clustering using RapidmIner

22. Modeling: Agglomeration CLustering

23. Modeling: Agglomeration Clustering using RapidmIner

24. Modeling: Decison Tree ID3 Algorithm

25. Modeling: Decision Tree ID3 Algorithm using RapdimIner

26. Modeling: Decison Tree ID3 Algorithm using RapidMiner

27. Evaluation: Decsion Tree ID3 Algorithm using RapidmIner

28. MOdeling: KNN Classification

29. Modeling: KNN CLassification using RapidmIner

30. Evaluation: KNN Classification using RapidmIner

31. Modeling Naive BAyes CLassification

32. MOdeling: Naive Bayes Classification using RapidmIner

33. Evaluation: Naive Bayes Classification using RapidMIner

34. MOdeling: Neural Network Classification

35. Modeling: Neural Network Classification using RapidmIner

36. Evauation: Neural Network Classification using RapidmIner

37. What Algorithm to USe?

38. MOdel Evaluation

39. k fold cross validation using RapdimIner

https://www.udemy.com/data-mining-with-rapidminer/?couponCode=FBDISCOUNT7

This is the bite size course to learn Python Programming for Applied Statistics. In CRISP DM data mining process, Applied Statistics is at the Data Understanding stage. This course also covers Data processing, which is at the Data Preparation Stage. 

You will need to know some Python programming, and you can learn Python programming from my "Create Your Calculator: Learn Python Programming Basics Fast" course.  You will learn Python Programming for applied statistics.

You can take the course as follows, and you can take a exam at EMHAcademy to get SVBook Certified Data Miner using Python certificate : 

- Create Your Calculator: Learn Python Programming Basics Fast (R Basics)

- Applied Statistics using Python with Data Processing (Data Understanding and Data Preparation)

- Advanced Data Visualizations using Python with Data Processing (Data Understanding and Data Preparation, in future)

- Machine Learning with Python (Modeling and Evaluation)

JUST 13.99 

This is the bite size course to learn R Programming for Data visualizations. In CRISP DM data mining process, Data Visualization is at the Data Understanding stage. This course also covers Data processing, which is at the Data Preparation Stage. 

You will need to know some R programming, and you can learn R programming from my "Create Your Calculator: Learn R Programming Basics Fast" course.  You will learn R Programming for applied statistics and you will be able

You can take the course as follows, and you can take a exam at EMHAcademy to get SVBook Certified Data Miner using R certificate : 

- Create Your Calculator: Learn R Programming Basics Fast (R Basics)

- Applied Statistics using R with Data Processing (Data Understanding and Data Preparation)

- Advanced Data Visualizations using R with Data Processing (Data Understanding and Data Preparation, in future)

- Machine Learning with R (Modeling and Evaluation)

Content

1. Getting Started

2. Getting STarted

3. Getting Started

4. Hello World Application

5. Data Mining Process

6. Download Dataset

7. Read Dataset

8. Bar Plot

9. Export Bar CHart as Image

10. Horizontal Bar Chart

11. Histogram

12. Histogram with Density Line

13. LIne Chart

14. Multiple Line Chart

15. Pie Chart

16. 3D Pie Chart

17. Scatterplot

18. Boxplot

19. Scatterplot Matrix

20. GGPlot 2

21. Aesthetic Mapping and Geometric

22. GEometrics

23. Labels and Titles

24. Themes

25. GGPlot2: Bar CHart

26. GGPlot2: HIstogram

27. GGPlot2: Density Plot

28. GGPlot2: Scatterplot

29. GGPLot2: Line Chart

30. GGPLot2: BoxpLot

31. Save GGPLot Image

32. Data Processing: Select Variables

33. Data Processing: Sort Data

34. Data Processing: Filter Data

35. Data Processing: Remove Duplicates and Missing Values

JUST 13.99 

https://www.udemy.com/data-visualizations-using-r-with-data-processing/?couponCode=FBDISCOUNT7

References: 

This course is actually based on the Learn R for Applied Statistics book I have published at Apress.

This is the bite size course to learn MySQL for Data Science. You will learn the select, insert, update, delete, order by, group by statements in SQL language. You will learn some data warehouse, star schema, use MySQL Workbench to create Star Schema, and data mining process, and OLAP Rollup.

Content

1. INstall MySQL

2. Uninstall MySQL

3. Uninstall MySQL 2

4. Database

5. Create Tables from ERD in MySQL Workbench

6. Select Statement

7. Select Distinct

8. Select using OPerators and Conditions

9. And Or Not

10. Order By

11. Insert Statement

12. Check whether have null values

13. Update Statements

14. Delete Statements

15. MIn Max

16. Count Sum Average

17. LIke

18. Group By

19. JOin Two Tables

20. JOin Two Tables 2

21. Get Frequency Table with Join and Group By

22. Join and Group By advanced

23. Join 3 Tables

24. Join 3 Tables 2

25. Star Schema Basics

26. Data Warehouse Basics

27. Data Mining Process

28. ROLAP ROLLUP Operation

https://www.udemy.com/learn-mysql-basics-for-data-science/?couponCode=FBDISCOUNT7

This is the bite size course to learn Java Programming for Machine Learning and Statistical Learning with Weka library. In CRISP DM data mining process, machine learning is at the modeling and evaluation stage. 

You will need to know some Java programming, and you can learn Java programming from my "Create Your Calculator: Learn Java Programming Basics Fast" course.  You will learn Java Programming for machine learning and you will be able to train your own prediction models with naive bayes, decision tree, knn, neural network, linear regression, and evaluate your models very soon after learning the course.

Content

1. Introduction

2. Getting Started

3. Getting Started 2

4. Getting Started 3

5. Data Mining Process

6. Data set

7. Split Training and Testing dataset

8. CReate Java Application using Netbeans with Weka Jar

9. Simple Linear Regression

10. LInear Regression using Weka and Java

11. LInear Regression using Weka and Java 2

12. LInear Regression using Weka and Java 3

13. KMeans Clustering

14. KMeans Clustering in Weka and Java

15. Agglomeration Clustering

16. Agglomeration Clustering in Weka and Java

17. Decision Tree ID3 ALgorithm

18. Decision Tree in Weka and Java

19. KNN Classification

20. KNN in Weka and Java

21. Naive Bayes Classification

22. Naive Bayes in Weka and Java

23. Neural Network Classification

24. Neural Network in Weka and Java

25. What Algorithm to Use?

26. Model Evaluation

27. Model Evaluation in Weka and Java

28. CReate a Data Mining Software

29. CReate a Data Mining Software 2

JUST $13.99 

https://www.udemy.com/machine-learning-with-java-and-weka/?couponCode=FBDISCOUNT7

This is the bite size course to learn Python Programming for Machine Learning and Statistical Learning. In CRISP DM data mining process, machine learning is at the modeling and evaluation stage. 

You will need to know some Python programming, and you can learn Python programming from my "Create Your Calculator: Learn Python Programming Basics Fast" course.  You will learn Python Programming for machine learning and you will be able to train your own prediction models with naive bayes, decision tree, knn, neural network, linear regression, and evaluate your models very soon after learning the course.

I will create Applied statistics using Python for data understanding stage and advanced data visualizations for data understanding stage and includes some data processing for data preparation stage in future.

Content

1. Getting Started

2. Getting Started 2

3. Getting Started 3

4. Getting Started 4

5. Data Mining Process

6. Download Data set

7. Read Data set

8. Simple Linear Regression

9. Build Linear Regression Modela: Train and Test set

10. Build and Predict Linear Regression Models

11. KMeans Clustering

12. KMeans Clustering in Python

13. Agglomeration Clustering

14. Agglomeration Clustering in Python

15. Decision Tree ID3 ALgorithm

16. Decision Tree in Python

17. KNN Classification

18. KNN in Python

19. Naive Bayes Classification

20. Naive Bayes in Python

21. Neural Network Classification

22. Neural Network in Python

23. What Algorithm to Use?

24. Model Evaluation

25. Model Evaluation using Python for Classification

26. Model Evaluation using Python for Regression

https://www.udemy.com/machine-learning-with-python-u/?couponCode=FBDISCOUNT7

This course aim to equip the reader with Java programming, Text Mining, and Natural Language Processing fundamentals in a fast and practical way. There will be many examples and explanations that are straight to the point. You will develop your own Text Mining Application at the end course. 

Contents 

1. Introduction 

2. Getting Started (Installing IDE, ...) 

3. Language Essentials I (variables, data types, ...) 

4. Language Essentials II (loops, if... else..., methods) 

5. Object Essentials (classes, inheritance, polymorphism, encapsulation, ...) 

6. Text Mining Essentials (Import Text Files, Text Transformation (lowercase, stopwords), Text Understanding (Stanford NLP), Text Classification (Stanford Classifier) ) 

7. Conclusion 

JUST $13.99 

https://www.udemy.com/fundamentals-of-java-programming-for-text-mining-and-nlp/?couponCode=FBDISCOUNT7

This is the bite size course to learn Bootstrap. You will learn Bootstrap very fast and You will create your own website very soon after learning the course. You can look into our Learn HTML Basics Fast, Learn CSS Basics Fast , and Learn Javascript Basics Fast Course.

Content

1. Install Text Editor

2. Embed Bootstrap in HTML

3. Bootstrap Grid System

4. Bootstrap Text

5. Bootstrap Tables

6. Bootstrap Forms

7. Bootstrap Buttons

8. Bootstrap Icons

9. Bootstrap Image

10. Bootstrap Jumbotron

11. Bootstrap Alerts

12. Bootstrap Badges

13. Bootstrap Pagination

14. Bootstrap Navigation Menu

15. Bootstrap Navigation Bar

16. Bootstrap Cards

17. Putting Everything Together - Create Your Own Website using Bootstrap

    
    

https://www.udemy.com/learn-bootstrap-basics-fast/?couponCode=FBDISCOUNT7

This is the bite size course to learn CSS. You will learn CSS very fast and You will create your own website very soon after learning the course. This course build on my Learn HTML Basics Fast Course.

Content

1. Install Text Editor

2. Using CSS (Incline, Embed, CSS File)

3. Selectors (tag, class, ID)

4. Text (Font, Text Style)

5. Content Block (border, padding, margin, ...)

6. Position (Static, Relative, Absolute, Fixed)

7. Lists

8. Hyperlink

9. Rollover

10. Menu Buttons

11. Rearrange our Website

https://www.udemy.com/learn-css-basics-fast/?couponCode=FBDISCOUNT7

This is the bite size course to learn Plotly JS for Data Visualizations. You will learn Plotly very fast and You will create your own dashboards very soon after learning the course. This course uses HTML, Javascript, Bootstrap, and CSS. Hence, you can learn HTML with our Learn HTML Basics Fast Course, learn Javascript  with our Learn Javascript Basics Fast Course, learn Bootstrap with our Learn Bootstrap Basics Fast Course, and learn CSS with Learn CSS Basics Fast Course.

Content

1. Install Text Editor

2. Embed Plotly JS in HTML

3. Plot Our First Chart

4. Plot Scatterplot

5. Plot Bubble Plot

6. Plot Line Charts

7. Plot Filled Area Plots

8. Plot Bar Chart

9. Plot Horizontal Bar Chart

10. Plot Pie Chart

11. Plot Histogram

12. Plot Boxplot

13. Create Dashboards

14. Create Dashboards Easily and Efficiently with DSTK Chart Plotter

https://www.udemy.com/fundamentals-of-plotly-js-for-data-visualizations/?couponCode=FBDISCOUNT7

This is the bite size course to learn Python Programming. You will learn Python Programming very fast and You will create your own calculator very soon after learning the course.

Content

1. Getting Started

2. Hello World Software

3. Variables and Data Types

4. Data types Conversion

5. Arithmetic Operators

6. Comparison Operators

7. Assignment Operators

8. Boolean Operators

9. Decision Making I (IF statements)

10. Loop (while loop, for loop)

11. Lists

12. Functions

13. Modules

14. Object and Classes

15. Create Your own Calculator

JUST 13.99 

https://www.udemy.com/create-your-calculator-learn-python-programming-basics-fast/?couponCode=FBDISCOUNT7

Have you ever wanted to build your own calculator program? This course is for you. This course is specially designed for you to quickly and easily gain all the fundamental skills of Java to create your own calculator, regardless of your background. You can proceed to our "Fundamentals of Java for Text Mining and NLP Course" after this course.

JUST $13.99 

https://www.udemy.com/create-your-calculator-learn-java-programming-basics-fast/?couponCode=FBDISCOUNT7

          Have you ever want to build your own windows GUI program? Whether you are a novice wanting to create your own GUI application, or a professional looking to convey your ideas through software prototyping, this course is for you. 

          This course is specially designed for you to quickly and easily gain all the fundamental skills to create your own windows application, regardless of your background. This hand-ons class uses practical approach to teach C# programming, meaning we will walk you through in creating your own application, from simple console to GUI, while explaining the important theory you should know. No unnecessary theory is included to bore you off, and you will walk away with your own web browser by the end of the course. 

          Topics Covered in a Practical Way: 

1. While writing your own Console Calculator Application, we will discuss about all the C# coding basics, including conditional statements (IF... Else, Switch...Case), Loops (for loops, while loops), variables, arrays, methods and etc.

2. Class and Objects, inheritance, encapsulation, and polymorphism, the essentials of Object Oriented Programming, will also be discussed while you enhance your console calculator application.

3. Learn interface design and event handling for creating beautiful GUI application, while you build your own web browser.

4. and more...

          Programming is a form of language, hence, to master it, you must read and write your own coding. Practical approach in learning C# programming will no doubt help you in mastering C# programming, but simultaneously have a better insight on how the theory can be applied in real time to solve problems. In case you are worried about having to buy Microsoft Visual Studio, we assured you that we will be using the open source Sharp Develop IDE, which is very similar to visual studio, but more importantly, it is FREE. Come, join the fun, join us to learn C# programming in a practical way, you will receive a free ebook and walk away with your own web browser program.

This course is based on my ebooks, aka course materials, at SVBook.  

JUST $13.99 

https://www.udemy.com/create-your-webbrowser-learn-c-fundamentals-practically/?couponCode=FBDISCOUNT7

This is the bite size course to learn Microsoft Word fasts.  

You will need to know some COmputer knowledge before learning this course.

You can take the course as follows, and you can take a exam at EMHAcademy to get SVBook Advance Certificate in Microsoft Office: 

- Learn Microsoft Word Basics Fast

- Learn Microsoft Powerpoint Basics Fast

- Learn Microsoft Excel Basics Fast

You can take the course as follow and you can take an exam at EMHAcademy to get SVBook Advance Certificate in Microsoft Office and Data Analysis with Excel:

- Learn Microsoft Word Basics Fast

- Learn Microsoft Powerpoint Basics Fast

- Learn Microsoft Excel Basics Fast

- Learn Data Aalysis using Microsoft Excel Basics Fast.

Content

1. Getting Started

2. Theme

3. Bold

4. Italics

5. Underline

6. Strkethrough

7. subscript

8. superscript

9. Chnage Font

10. Change Font Size

11. Change TExt Effects

12. Text Highlights

13. Change Text COlors

14. CHnage Text Styles

15. Left Align

16. Center

17. Right Align

18. INcrease Indent

19. Decrease Indent

20. Bullets

21. Numbering

22. INsert Tables

23. Style Tables

24. INsert Photos

25. Edit Pictures

26. INsert Shapes

27. INsert Icons

28. INsert Smartart

29. INsert Charts

30. INsert Header

31. Insert Footer

32. INsert Page Number

33. Insert Textbox

34. INsert Symbols

35. Insert Equations

36. Themes

37. Colors

38. Paragraphs Spacing

39. Watermark

40. Page COlor

41. Borders

42. Text Direction

43. Margins

44. Orientations

45. Size

46. Columns

47. INsert COver Page

48. INsert Blank Page

49. INsert COnetnet Page

50. POtrait and Landscape in a DOcument

51. Word COunt

52. Spelling Check

53. Protect Document

54. Export PDF