ChatGPT Complete Guide: Learn Midjourney, ChatGPT 4 & More

Course content

  • Welcome to ChatGPT!
  • ChatGPT Fundamentals
  • Elements of an Effective Prompt
  • Prompt Engineering Essentials
  • ChatGPT Plus & GPT-4
  • Advanced Data Analyis (Code Interpreter)
  • ChatGPT Plugins
  • The Technology Behind ChatPT
  • Advanced Prompt Engineering Strategies
  • ChatGPT for Every Business Professional
  • ChatGPT for Data Science
  • ChatGPT for Programming
  • ChatGPT for Social Media
  • ChatGPT for Business Writing
  • OpenAI APIs: An Essential Guide
  • Midjourney: Essentials
  • Midjourney Deep Dive
  • Bing Chat Essentials
  • Google Bard Essentials
  • Bonus

Oracle 11g – Programming with PL / SQL I – Workshops Training Course

Duration

28 hours (usually 4 days including breaks)

Requirements

  • Basic skills in any programming language, object-oriented structural or
  • The free use of the basics of SQL and knowledge of Oracle database environment (preferably Oracle 11g completion of training – Native SQL for Programmers – Workshops)

Overview

For who

Workshops are dedicated to developers, end users and administrators, who until now have had no contact with the language PL / SQL, and the need to exploit its huge potential in working with a database, automate processes, and in building applications

Exams and Certificates

The plan covers the training material required to pass the exam 1Z0-144 Oracle Database 11g Program with PL / SQL and obtain the title of Oracle PL / SQL Developer Certified Associate

Purpose of training

The workshop aims to familiarize participants with the programming language PL / SQL, its capabilities and limitations. This workshop will include a full understanding of the mechanisms involved in the programming language PL / SQL needed to implement the logic of the free applications, automation of data processing and database management.

The content of the training

  • Introduction to PL / SQL architecture solutions based on this language, the organization of the working environment
  • Create scripts and stored program units that operate on data

Notes

The workshops are based on the software version 11g XE

Course Outline

Introduction to PL / SQL

  • Runtime Environment
  • Construction and types of PL / SQL blocks
  • Declaring and using variables
  • Control statements, decisions, loops

SQL statements in PL / SQL

  • DML commands
  • DDL and dynamic SQL
  • TCL commands and transactional
  • SELECT

Procedures and Functions

  • Create and delete
  • Parameterization
  • Passing parameters by value and reference, nocopy

Handling errors and exceptions

Create and use cursors

  • Records
  • static cursors
  • Parameterizing cursors
  • Cursor FOR UPDATE

Associative arrays

Packages

  • The structure of the package: the specification and body
  • Section Initialization and global variables, memory management, an instance of the package
  • Encapsulation, overloading programs, pre-declaration procedures

Triggers

  • DML triggers
  • The triggers Drives (INSTEAD OF)
  • The triggers system
  • New features in Oracle 11g triggers

Examples of application packages built

  • Writing to a file through UTL_FILE
  • Sending e-mails

Management code and compiler

  • Encryption code (dynamic obfuscation, wrap)
  • conditional Compilation
  • The relationships between objects
  • Warnings

Programming with Big Data in R Training Course

Duration

21 hours (usually 3 days including breaks)

Overview

Big Data is a term that refers to solutions destined for storing and processing large data sets. Developed by Google initially, these Big Data solutions have evolved and inspired other similar projects, many of which are available as open-source. R is a popular programming language in the financial industry.

Course Outline

Introduction to Programming Big Data with R (bpdR)

  • Setting up your environment to use pbdR
  • Scope and tools available in pbdR
  • Packages commonly used with Big Data alongside pbdR

Message Passing Interface (MPI)

  • Using pbdR MPI 5
  • Parallel processing
  • Point-to-point communication
  • Send Matrices
  • Summing Matrices
  • Collective communication
  • Summing Matrices with Reduce
  • Scatter / Gather
  • Other MPI communications

Distributed Matrices

  • Creating a distributed diagonal matrix
  • SVD of a distributed matrix
  • Building a distributed matrix in parallel

Statistics Applications

  • Monte Carlo Integration
  • Reading Datasets
  • Reading on all processes
  • Broadcasting from one process
  • Reading partitioned data
  • Distributed Regression
  • Distributed Bootstrap

Octave not only for programmers Training Course

Duration

21 hours (usually 3 days including breaks)

Requirements

  • Basic concept of undergraduate-level mathematical knowledge such as linear algebra, probablilty theory and statistics, as well as matrix
  • Basic computer operations
  • Preferably basic concept of another high-level programming language, such as C, PASCAL, FORTRAN, or BASIC, but not essential

Overview

Course is dedicated for those who would like to know an alternative program to the commercial MATLAB package. The three-day training provides comprehensive information on moving around the environment and performing the OCTAVE package for data analysis and engineering calculations. The training recipients are beginners but also those who know the program and would like to systematize their knowledge and improve their skills. Knowledge of other programming languages is not required, but it will greatly facilitate the learners’ acquisition of knowledge. The course will show you how to use the program in many practical examples.

Course Outline

Introduction

Simple calculations

  • Starting Octave, Octave as a calculator, built-in functions

The Octave environment

  • Named variables, numbers and formatting, number representation and accuracy, loading and saving data 

Arrays and vectors

  • Extracting elements from a vector, vector maths

Plotting graphs

  • Improving the presentation, multiple graphs and figures, saving and printing figures

Octave programming I: Script files

  • Creating and editing a script, running and debugging scripts,

Control statements

  • If else, switch, for, while

Octave programming II: Functions

Matrices and vectors

  • Matrix, the transpose operator, matrix creation functions, building composite matrices, matrices as tables, extracting bits of matrices, basic matrix functions

Linear and Nonlinear Equations

More graphs

  • Putting several graphs in one window, 3D plots, changing the viewpoint, plotting surfaces, images and movies,

 Eigenvectors and the Singular Value Decomposition

 Complex numbers

  • Plotting complex numbers,

 Statistics and data processing

 GUI Development

Python Programming Bootcamp (2019)

Introductory Course on Programming with Python

Requirements

  • No prior programming knowledge is required
  • A computer and a desire to learn

Description

Become a Python Programmer and learn one of employer’s most requested skills of 2019! 

This course assumes no previous programming or Python experience. If  you’ve never programmed a computer before, or if you know another  programming language and want to learn Python, this course will teach  you how.

The goal of the course is to introduce students to Python Version 3.x programming.

Here is what you will get and learn by taking this Python Programming Bootcamp (2019)  course:

  • How to work with various data types.
  • What variables are and when to use them.
  • The importance of white space in Python.
  • Other.

Who this course is for:

  • For Complete Programming Beginners
  • Anyone who wants to learn Python

Course content

16 sections • 76 lectures • 2h 59m total length

The Art of Doing: Fundamental Socket Python Programming

Let your computer programs communicate with sockets and python!

Requirements

  • Basic python knowledge is recommended.

Description

Python is a fantastic programming language.  After learning the basics, moving onto the various modules and libraries is the next logical step.  So much functionality can be brought into your program by knowing when and how to use the correct python extension. 

In this FREE introductory course learn the basics of networking with python- IP addresses, port addresses, TCP and UDP communication, and more!  Learn how to use the socket module to create IPV4, TCP/UDP sockets to run as on the server side and client side and most importantly, send encoded information back and forth from one machine to another over a network!

We will also preview how to use the threading module so you can take your simple communication stream between an individual client and server and open it up such that your server could host an unlimited number of clients all communicating at once; your own chat room! 

Due to the time limit restrictions on free courses I will not walk you through this project, but I promise you…the foundation will be set for you to go and write this program all on your own!  Get ready to learn the fundamentals and take your python programs to the next level; communicating over the internet!

I can’t wait to have you as a student.

Who this course is for:

  • Anyone interested in writing network applications with python
  • Anyone interested in socket programming

Course content

4 sections • 14 lectures • 1h 59m total length

Create your first program in Python within 1 hour!

Iota hands-on course

Requirements

  • Python basics
  • Iota basics

Description

First Iota hands-on course available.

Enough with evangelism. Enough with shallow info that you already know.

We will take you by the hand and allow you to code your first program with iota within one hour, with a structured and easy-to-follow approach. In only 7 videos you’ll be able to take the first step in your Iota development, demystifing the coding and discovering sources to further your solutions.

Who this course is for:

  • Everyone who wants to get to code iota from scratch
  • Beginners who want to develop their first program

Course content

4 sections • 10 lectures • 31m total length

Python 101: Unlock Program Skills – From Novice to Expert

Program in an Internet browser, learn Python for 4 hours!

Requirements

  • There are no specific prerequisites. You need a web browser, basic computer skills and the Internet.
  • Install Chrome 18+, Firefox 11+ or Safari 6+ browser. No Internet Explorer.

Description

The course teaches the basic skills of the Python programming language.

To start learning, you need a modern Internet browser, Internet access and the desire to learn new things!

You will learn the following amazing topics about the Python language!

1. Python in Web Browser

Learn how to write, run and save programs on Python directly in your web browser!
For programming in the Python language in a web browser, you will use the codeskulptor site.
Share links to programs you create with colleagues and friends, save links to programs and program files. You do not need to install any additional programs on your computer.

2. Basics of Python Programming Language

Learn to do simple rhyme operations using the Python language. Learn how to output and enter data in Python. You will get knowledge about what are integers, floating-point numbers, strings. You will learn to perform operations with integer numbers, floating-point numbers and strings.

3. Functions, Modules and Control Structures

Learn how to create functions. Learn to use functions as objects for other functions. Create comments and lines of documentation that will help you understand the code for you and other people.
Exceptions in Python

4. Dictionaries, Lists, Tuples and other operations

Create dictionaries, lists (even entire “libraries”!) From numbers and text.

You will learn how to generate large numbers and text arrays simply by their “key”. You will learn how to perform operations with lists, dictionaries and tuples.

5. Tests to verify the knowledge. Example programs.

Universe of Programming is waiting for you. Get started now!

Who this course is for:

  • The course approach for all students who want to start learning the language Python and start programming.
  • Beginners in programming
  • Willing to improve programming skills
  • Who wishes to learn a new programming language Python
  • Improve their productivity and effectivity
  • Who wants to make programming easy and intelligent!

Course content

5 sections • 31 lectures • 4h 43m total length

Learn Data Cleaning with Python

Perform Data Cleaning Techniques with the Python Programming Language. Practice and Solution Notebooks included.

Requirements

  • You will need to have basic python programming proficiency.
  • You will need a modern browser i.e. Google Chrome or Mozilla Firefox.

Description

By the end of this course, you will be able to:

  • I can standardize a dataset by fixing inconsistent column names.
  • I can perform data type conversion to fix inaccurate data.
  • I can find and fix syntax errors in a dataset.
  • I can find and fix typos in a dataset.
  • I can deal with irrelevant data in a dataset.
  • I can remove any duplicate records in a dataset.
  • I can find and deal with missing data in a dataset.
  • I can find and deal with outliers in a dataset.

Who this course is for:

  • This course is designed for professionals with an interest in getting hands-on experience with the respective data science techniques and tools.

Course content

7 sections • 7 lectures • 50m total length

Data Analytics in Python

Data Analytics in Python is a course that focuses on how to use the Python programming language to analyze & visualize

Requirements

  • Requires a great desire to learn and enter the world of python

Description

Data Analytics with Python is an exciting and challenging course that will teach you how to transform data into valuable insights. In a world where information is a critical resource, data analysis is essential to gain insights, make informed decisions, and improve results.

In this course, you’ll learn how to use the powerful Python programming language to effectively explore, clean, analyze, and visualize data. From manipulating large data sets to creating stunning visualizations, we’ll teach you everything you need to know to become a world-class data analyst.

You will learn to work with tools such as Pandas, Matplotlib, and Seaborn, which are widely used in the industry and allow for fast and efficient data manipulation. This course is perfect for those with an interest in technology, data, and informed decision making. Whether you’re looking for a career change or just want to expand your skills, Data Analytics with Python is an exciting and rewarding course that will take you to a new level in your career. Join us to learn how to transform data into valuable knowledge!

This project that you will develop here will serve for your portfolio of projects and thus be successful in this area.

let the learning begin!

Who this course is for:

  • Anyone who wants to venture into data analytics

Course content

7 sections • 12 lectures • 1h 26m total length