Coding Christi -Python, Java, SQL

ER Model -Mapping Cardinalities, Participation, Weak Entity Sets

22. SQL -select, where, like, as, distinct, and order by keywords

11. Probability -Addition Rule, Multiplication Rule, and Permutations

PL SQL -LOOP Statement

55. Analyzing Spatial Data and Introduction to QGIS

16. Introduction to SQL -Installing Oracle SQL Plus, SQL Data Types, and Data Definition Language

13. Probability -Random Variables, Weighted Average, Distributions

ER Model -Specialization, Generalization, Aggregation and the Object Oriented Model

22. Polynomial and Multivariate Linear Regressions

18. Creating Employees Database using SQL Part 1

21. SQL -String Functions

23. SQL -aggregate functions, group by and having clauses

17. SQL -DML, Constraints, and Transaction Control

SQL -Date Functions

PL SQL -Cursors

PL SQL -IF THEN and IF THEN ELSE

37. Exploring Best Practices in Dashboard Design

PL SQL -FOR, WHILE and CONTINUE statements

31. Data Visualization -Picking the most Appropriate Design Style

7. Exploring Inferential Statistics -Outliers, Boxplots, Standard Deviation

48. D3.js for Data Visualization -Scalable Vector Graphics (SVG)

PL SQL -Functions and Identifiers

PL SQL -Passing parameters to procedures

15. Linear Regression

23 Polynomial and Multivariate Linear Regressions -Part 2

24. Data Science for Driving Growth in E Commerce -Part 1

10. Probability -Definition, Methods, Sample Space, and Events

19. Creating Employees Database Using SQL Part 2

38. IBM Watson Analytics and Plotly

25. Data Science for Driving Growth in E Commerce -Part 2

8. Exploring Inferential Statistics -Role Type Classification

20. SQL -Date and Numeric Functions

45. D3.js for Data Visualization -Introduction

SQL -Creating the Employees Database Part 1

16. Ordinary Least Squares and Linear Regression Implementation

SQL -Constraints

36. Introduction to the Basics of Classification

52. Introduction to GIS and Spatial Databases

7. Data Models -Extended ER Model and Object Oriented Model

21. Multi Criteria Decision Making (MCDM)

6. Exploring Inferential Statistics - Range and IQR

SQL -Aggregate Functions and GROUP BY, ORDER BY, HAVING Clauses

17. Introduction to Hypothesis Testing

54. Map Projections and Coordinate Systems in GIS

PL SQL -Triggers

Transaction Management -Schedules

PL SQL -CASE statement

SQL -DCL

PL SQL -Nested Blocks and Procedures

26. Data Science for Driving Growth in E Commerce -Part 3