KDB+ Q programming for beginners

KDB+/ Q programming – for beginners, available at $49.99, has an average rating of 4.08, with 18 lectures, based on 6 reviews, and has 37 subscribers.

You will learn about Practical entry into kdb+/q Leverage AI, ML and HFT trading systems development with kdb+/q Master the basics of the fastest time-series database kdb+ and its programming language q Gain technological edge by being able to use kdb+/q for AI, ML and Big Data development This course is ideal for individuals who are Programmers and traders It is particularly useful for Programmers and traders.

Enroll now: KDB+/ Q programming – for beginners

Summary

Title: KDB+/ Q programming – for beginners

Price: $49.99

Average Rating: 4.08

Number of Lectures: 18

Number of Published Lectures: 18

Number of Curriculum Items: 18

Number of Published Curriculum Objects: 18

Original Price: $49.99

Quality Status: approved

Status: Live

What You Will Learn

Practical entry into kdb+/q

Leverage AI, ML and HFT trading systems development with kdb+/q

Master the basics of the fastest time-series database kdb+ and its programming language q

Gain technological edge by being able to use kdb+/q for AI, ML and Big Data development

Who Should Attend

Programmers and traders

Target Audiences

Programmers and traders

Learn how to leverage Artificial Intelligence, Machine Learning and Big Data programming with KDB+ and the Q programming language.

KDB+ provides data scientists and application developers with centralized high-performance time series data access and analytics for real-time and multi-petabyte historical datasets.

Stand apart from your peers with this groundbreaking technology you are going to learn in this course.

The relational and columnar design of KDB+ , the world’s fastest time series database and real-time analytics engine, enables exceptionally fast analytics on large scale datasets in motion and at rest. This has made it the technology of choice for Artificial Intelligence and capital markets applications and industrial IoT applications involving large amounts of time-series data.

Q might be one of the best coding languages to learn if you want to be assured of a technology job in artificial intelligence, ML, Big Data and financial services. Developers proficient in both Q and KDB+, the database system that goes with it, tend to be both hard to find and in constant demand globally.

Learning niche programming languages like Q and the database KDB+ will bring you the competitive edge needed to succeed as a software developer where most students only learn a handful of the well known languages and databases.

Course Curriculum

Chapter 1: Introduction

Lecture 1: Introduction

Lecture 2: About timeseries databases, KDB+ and the Q programming language

Chapter 2: Deep dive

Lecture 1: Installing KDB+, building tables, fetching CSVs and performing queries

Lecture 2: Q language: data, lists, dictionaries, functions, iterations

Chapter 3: Hands-on learning: Iteration

Lecture 1: Implicit iteration

Lecture 2: Iterators

Lecture 3: Maps

Lecture 4: Accumulators

Chapter 4: Practical exercise

Lecture 1: Analyze the trading volume of a crypto exchange

Chapter 5: Hands-on learning: Control constructs

Lecture 1: Cond, do, if, while

Chapter 6: Hands-on learning: Datatypes

Lecture 1: Basic and other datatypes

Chapter 7: Hands-on learning: Operators

Lecture 1: Add, Apply, Index, Trap, Apply At, Index At, Trap At

Lecture 2: Compose

Lecture 3: Roll, Deal, Permute

Lecture 4: Delete

Lecture 5: Display. divide, drop

Lecture 6: Find, join, select

Chapter 8: KDB.AI – the vector database for AI development

Lecture 1: Introduction, installation and session set up

Instructors

Nedim Begic
Computer Research Scientist

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2 stars: 0 votes

3 stars: 3 votes

4 stars: 0 votes

5 stars: 3 votes

Frequently Asked Questions

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