Overview Acquire the language of databases with this SQL Programming Complete Bundlecourse. In this data-driven world, data is used to make strategies, find solutions and do a thousand other tasks. Businesses across the world are using big and related data, which makes a basic knowledge of SQL a remarkable skill not only for data scientists but for everyone. This SQL Programming Complete Bundlecourse will teach you the language of databases, SQL, and help you gain proficiency in SQL tools. How will I get my certificate? At the end of the course there will be a written assignment test which you can take either during or after the course. After successfully completing the test you will be able to order your certificate, these are included in the price. Who is this course for? There is no experience or previous qualifications required for enrolment on this SQL Programming Complete Bundle. It is available to all students, of all academic backgrounds. Requirements Our SQL Programming Complete Bundle is fully compatible with PC's, Mac's, Laptop, Tablet and Smartphone devices. This course has been designed to be fully compatible on tablets and smartphones so you can access your course on wifi, 3G or 4G. There is no time limit for completing this course, it can be studied in your own time at your own pace. Career path Having these various qualifications will increase the value in your CV and open you up to multiple sectors such as Business & Management , Admin, Accountancy & Finance, Secretarial & PA, Teaching & Mentoring etc. Course Curriculum 9 sections • 53 lectures • 07:50:00 total length •Introduction: 00:04:00 •Course Curriculum Overview: 00:05:00 •Overview of Databases: 00:10:00 •MySQL Installation: 00:16:00 •MySQL Workbench Installation: 00:09:00 •Connecting to MySQL using Console: 00:09:00 •Overview of Challenges: 00:04:00 •SQL Statement Basic: 00:16:00 •SELECT Statement: 00:09:00 •SELECT DISTINCT: 00:05:00 •Column AS Statement: 00:12:00 •COUNT built-in Method usage: 00:11:00 •SELECT WHERE Clause - Part One: 00:05:00 •SELECT WHERE Clause - Part Two: 00:11:00 •SQL Statement Basic: 00:16:00 •SQL Limit Clause Statement: 00:09:00 •SQL Using BETWEEN with Same Column Data: 00:11:00 •How to Apply IN Operator: 00:11:00 •Wildcard Characters with LIKE and ILIKE: 00:11:00 •Overview of GROUP BY: 00:06:00 •Aggregation function SUM(): 00:09:00 •Aggregation MIN() and MAX(): 00:05:00 •GROUP BY - One: 00:09:00 •GROUP BY - Two: 00:12:00 •HAVING Clause: 00:05:00 •Overview of JOINS: 00:04:00 •Introduction to JOINS: 00:04:00 •AS Statement table: 00:03:00 •INNER Joins: 00:14:00 •FULL Outer Join: 00:11:00 •LEFT Outer JOIN: 00:08:00 •RIGHT JOIN: 00:08:00 •Union: 00:07:00 •Timestamps: 00:12:00 •EXTRACT from timestamp: 00:10:00 •Mathematical Functions: 00:12:00 •String Functions: 00:22:00 •SUBQUERY: 00:13:00 •Basic of Database and Tables: 00:06:00 •DataTypes: 00:10:00 •Primarykey and Foreignkey: 00:06:00 •Create Table in SQL Script: 00:13:00 •Insert: 00:11:00 •Update: 00:07:00 •Delete: 00:04:00 •Alter Table: 00:09:00 •Drop Table: 00:05:00 •NOT NULL Constraint: 00:08:00 •UNIQUE Constraint: 00:09:00 •Creating a Database backup: 00:12:00 •10a Overview of Databases and Tables: 00:05:00 •10c Restoring a Database: 00:07:00 •Assignment - SQL Programming Complete Bundle: 00:00:00
Overview This comprehensive course on Machine Learning with Python will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Machine Learning with Python comes with accredited certification, which will enhance your CV and make you worthy in the job market. So enrol in this course today to fast track your career ladder. How will I get my certificate? You may have to take a quiz or a written test online during or after the course. After successfully completing the course, you will be eligible for the certificate. Who is This course for? There is no experience or previous qualifications required for enrolment on this Machine Learning with Python. It is available to all students, of all academic backgrounds. Requirements Our Machine Learning with Python is fully compatible with PC's, Mac's, Laptop, Tablet and Smartphone devices. This course has been designed to be fully compatible with tablets and smartphones so you can access your course on Wi-Fi, 3G or 4G. There is no time limit for completing this course, it can be studied in your own time at your own pace. Career Path Having these various qualifications will increase the value in your CV and open you up to multiple sectors such as Business & Management, Admin, Accountancy & Finance, Secretarial & PA, Teaching & Mentoring etc. Course Curriculum 4 sections • 21 lectures • 01:34:00 total length •Introduction to types of ML algorithm: 00:02:00 •SVM - Python Implementation: 00:06:00 •Introduction to types of ML algorithm: 00:02:00 •Importing a dataset in python: 00:02:00 •Resolving Missing Values: 00:06:00 •Managing Category Variables: 00:04:00 •Training and Testing Datasets: 00:07:00 •Normalizing Variables: 00:02:00 •Normalizing Variables - Python Code: 00:03:00 •Summary: 00:01:00 •Simple Linear Regression - How it works?: 00:04:00 •Simple Linear Regreesion - Python Implementation: 00:07:00 •Multiple Linear Regression - How it works?: 00:01:00 •Multiple Linear Regression - Python Implementation: 00:09:00 •Decision Trees - How it works?: 00:05:00 •Random Forest - How it works?: 00:03:00 •Decision Trees and Random Forest - Python Implementation: 00:04:00 •kNN - How it works?: 00:02:00 •kNN - Python Implementation: 00:10:00 •Decision Tree Classifier and Random Forest Classifier in Python: 00:10:00 •SVM - How it works?: 00:04:00
This course begins with establishing the motivation for reinforcement learning and then progresses on to equipping you with all the necessary theory. Each section of the course helps you not only understand the fundamentals of RL but also gain necessary coding skills by taking you through exercises. By the end of the course, you will be able to complete a project using the OpenAI Gym toolkit.
Build 20 mini frontend projects from scratch with HTML5, CSS, and JavaScript
This comprehensive course will help you learn how to use the power of Python to evaluate your deep learning-based recommender system data sets based on user ratings and choices with a practical approach to building a deep learning-based recommender system by adopting a retrieval-based approach based on a two-tower model.
Welcome to a hands-on SQL course. In this course, you will learn the fundamentals of SQL databases and the relational model. We will cover core concepts such as inserting data into SQL databases, extracting data from SQL databases, aggregations, subqueries, joins, unions, and window functions. This course will help you write complex queries to perform tasks as required in technical interviews or on the job.