General Programming

Learn programming languages that are used in Data Science.

Categories

Data Courses

General Programming:


Functional Programming: This module introduces lambda calculus and functional programming. It reviews lambda calculus expressions, free variables and bound variables, reductions, and syntax. Then, the module covers the basics of functional programming using Scheme programming language.

Introduction to Julia: Development 2021

Introduction to Scala: Development 2021

Python – Basic Variable Data Types: This module will cover a very important part of a programming language, String Literals and Numeric Data Types. Students will learn the syntax of interacting with string data numeric data, converting data types and performing basic mathematical operations.

Python – Decision Structures: This module will introduce how to build a more versatile and interactive program that can do more than a single task, we can add decision structures such as the if-else block to allow the path of the program take alternate paths depending on the outcomes of each decision. To accomplish this, the conditional statement is introduced. A condition can be evaluated as either True or False depending on the presented situation.

Python – Functions and More: This module will introduce the creation of basic as well as advanced Functions to help break up code chunks into reusable blocks of code to increase readability of a program.  In addition, the Dictionary data type and Python’s associative arrays will be examined and compared to Lists.

Python – Loops and Lists: This module will introduce how lists are used, for-loop and while-loop structures in Python programming. This module will also cover random number generations using loops.

R Programming Basics: In this module, we will introduce how to import and export data files, create vectors and data frames, and edit data frames.

R Programming – Data Manipulations: In this module, we will introduce data wrangling and functions in R.

R Programming – Logic Statements: In this module, we will introduce the conditional statement, loops, and matrix operations in R. This module will also cover how to identify data types.

SAS Programming: This module covers basis of SAS Programming and its application in data analytics.

SQL – Entity Relationship Diagrams: This module will cover the basics of Entity Relationship Diagram (ERD). ERDs are used to model databases.

SQL – Functions, Commands, and Views: This module will cover how to use SQL functions to aggregate and group data in SQL queries.  In addition, this module will introduce new SQL commands and how to create views and learn the rules that determine how data is normalized.

SQL – Introduction: This module will introduce the Structured Query Language (SQL). The SQL language consists of commands for manipulating data and databases in a Relational Database Management System (RDBMS).

SQL – Keys, Constraints and Joins: This module will introduce you to SQL keys, constraints, and joins.

Version Control (Git, GitHub): Development 2021

 

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