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Course Overview: Imagine the power of interacting with databases, organising vast information, and extracting valuable insights - all at your fingertips. This might seem like a formidable task, but SQL, or Structured Query Language, brings this within reach. It is one of the most in-demand skills in the tech industry, with a projected 10% job growth rate over the next decade. Our course, The Complete SQL from Scratch: Bootcamp, provides a thorough understanding of SQL, irrespective of your prior familiarity with it. This comprehensive course walks you through the journey from the fundamentals of databases to the intricate functionalities of SQL. The curriculum includes detailed discussions on database creation, table manipulation, SQL statements, and utilisation of various operators. Moreover, it also covers essential operations like data backup and restoration, thus preparing learners for real-life database management scenarios. The course design ensures a smooth transition from one concept to another, enabling learners to solidify their understanding at each step. Enrol today and start learning SQL! Key Features of the Course: CPD certificate: Upon completion of the course, you'll receive a CPD certificate that you can use to demonstrate your skills to employers. 24/7 Learning Assistance: Our team of experts is available 24/7 to answer your questions and help you progress through the course. Interesting learning materials: The course is packed with engaging videos, interactive exercises, and quizzes to help you learn SQL in a fun and effective way. Who is This Course For? The Complete SQL from Scratch: Bootcamp course is suitable for anyone interested in diving into the world of databases or enhancing their skills further. Beginners with no prior knowledge and professionals seeking an in-depth understanding of SQL would equally benefit from the course. What You Will Learn: Through The Complete SQL from Scratch: Bootcamp , you will learn: An in-depth understanding of databases and their functions. Familiarity with PostgreSQL installation and various connections. Proficiency in manipulating data including insert, update, delete operations. A comprehensive grasp of complex SQL commands and queries. Skills to design and alter table structures using SQL scripts. Advanced knowledge about SQL statements, their structure, and usage. Competence in data backup and restoration in databases. Why Enrol in This Course: The Complete SQL from Scratch: Bootcamp course is reviewed as a top choice among learners, and is recently updated to match the trending industry needs. By enrolling, you will acquire a set of skills that are crucial in today's data-centric world, enhancing your employability and competitive edge. Requirements: No prior experience is required A computer with internet access Career Path: Database Administrator (average UK salary £47,000) Data Analyst (£40,000), Business Analyst (£43,000) SQL Developer (£45,000) Database Engineer (£48,000) Systems Analyst (£41,000) Data Architect (£62,000). Certification: After successfully completing the course, you will receive a CPD certificate, signifying your expertise in SQL. This course is your stepping stone to becoming a proficient database professional. Enrol and Lets get started! Course Curriculum 12 sections • 56 lectures • 06:39:00 total length •Introduction: 00:04:00 •Course Curriculum overview: 00:04:00 •Overview of Databases: 00:08:00 •PostgreSQL Installation: 00:13:00 •Connecting to PostgreSQL using psql: 00:04:00 •Connecting to PostgreSQL using PgAdmin: 00:07:00 •Basic of Database and Tables: 00:06:00 •Data Types: 00:07:00 •Primary Keys and Foreign Keys: 00:04:00 •Create Table in SQL Script: 00:17:00 •Insert: 00:05:00 •Update: 00:05:00 •Delete: 00:03:00 •Alter Table: 00:05:00 •Drop Table: 00:02:00 •Check Constraint: 00:12:00 •NOT NULL Constraint: 00:04:00 •UNIQUE Constraint: 00:06:00 •Overview of Challenges: 00:04:00 •SQL Statement Basic: 00:07:00 •SELECT Statement: 00:12:00 •SELECT DISTINCT: 00:10:00 •Column AS Statement: 00:07:00 •COUNT: 00:07:00 •SELECT WHERE Clause - One: 00:06:00 •SELECT WHERE Clause - Two: 00:11:00 •ORDER: 00:05:00 •LIMIT: 00:04:00 •BETWEEN keyword usage on real time: 00:08:00 •IN Operator: 00:06:00 •LIKE and ILIKE: 00:10:00 •Overview of GROUP BY: 00:03:00 •Aggregation Function: 00:12:00 •GROUP BY - One: 00:05:00 •GROUP BY - Two: 00:06:00 •HAVING on SQL Statement: 00:04:00 •Overview of JOINS: 00:07:00 •Introduction to JOINS: 00:06:00 •AS Statement table: 00:05:00 •INNER Joins: 00:14:00 •Full Outer Joins: 00:04:00 •Left Outer join: 00:03:00 •Right Outer Join: 00:05:00 •Union: 00:05:00 •Basic of Advanced SQL Commands: 00:04:00 •Timestamps: 00:17:00 •Extract from Timestamp: 00:05:00 •Mathematical Functions: 00:06:00 •String Functions: 00:16:00 •SubQuery: 00:08:00 •Overview of Databases and Tables: 00:02:00 •Creating a Database backup: 00:03:00 •Restoring a Database from backup: 00:04:00 •Overview Assessment Test: 00:02:00 •Mock Exam - The Complete SQL from Scratch: Bootcamp: 00:20:00 •Final Exam - The Complete SQL from Scratch: Bootcamp: 00:20:00

Most people only use a fraction of Excel's capabilities. This workshop shows what you've been missing! This course will help participants: Nest formulas Get the most from pivot tables Use conditional formatting Write array formulas Explore the lookup functions Calculate by criteria Use 'goal seek' and 'scenario manager' for what-if analysis Record macros 1 Nesting formulas Principles of nesting formulas together Using IF with AND or OR to answer questions Nesting an AND function in an IF Nesting an OR function in an IF 2 Advanced pivot table reports Grouping dates, numerical and text items Running percentage analyse Running analyses to compare data Inserting Field calculations Finishing off with a user-friendly dashboard 3 Advanced conditional formatting Colour table rows based on criteria in it Applying colour to approaching dates Exploring the different rule types 4 Lookup functions Going beyond the VLOOKUP function Lookups that retrieve data from left or right The versatile INDEX and MATCH functions Retrieving data from columns with duplicates 5 Calculate by criteria Using SUMIFS to sum by criteria Finding an average by criteria with AVERAGEIFS Use SUMPRODUCT to multiply then add different values 6 What-if analysis Use Goal Seek to meet targets Forecast reports with the Scenario Manager 7 Recording Macros Macro security Understanding a Relative References macro Recording, running and editing macros Saving files as Macro Enabled Workbooks Introduction to VBA code Making macros available across workbooks Add a macro button to the Quick Access toolbar

Duration 3 Days 18 CPD hours This course is intended for Application developers who want to build cloud-native applications or redesign existing applications that will run on Google Cloud Platform Overview This course teaches participants the following skills: Use best practices for application development. Choose the appropriate data storage option for application data. Implement federated identity management. Develop loosely coupled application components or microservices. Integrate application components and data sources. Debug, trace, and monitor applications. Perform repeatable deployments with containers and deployment services. Choose the appropriate application runtime environment; use Google Container Engine as a runtime environment and later switch to a no-ops solution with Google App Engine flexible environment. Learn how to design, develop, and deploy applications that seamlessly integrate components from the Google Cloud ecosystem. This course uses lectures, demos, and hands-on labs to show you how to use Google Cloud services and pre-trained machine learning APIs to build secure, scalable, and intelligent cloud-native applications. Best Practices for Application Development Code and environment management. Design and development of secure, scalable, reliable, loosely coupled application components and microservices. Continuous integration and delivery. Re-architecting applications for the cloud. Google Cloud Client Libraries, Google Cloud SDK, and Google Firebase SDK How to set up and use Google Cloud Client Libraries, Google Cloud SDK, and Google Firebase SDK. Lab: Set up Google Client Libraries, Cloud SDK, and Firebase SDK on a Linux instance and set up application credentials. Overview of Data Storage Options Overview of options to store application data. Use cases for Google Cloud Storage, Cloud Firestore, Cloud Bigtable, Google Cloud SQL, and Cloud Spanner. Best Practices for Using Cloud Firestore Best practices related to using Cloud Firestore in Datastore mode for:Queries, Built-in and composite indexes, Inserting and deleting data (batch operations),Transactions,Error handling. Bulk-loading data into Cloud Firestore by using Google Cloud Dataflow. Lab: Store application data in Cloud Datastore. Performing Operations on Cloud Storage Operations that can be performed on buckets and objects. Consistency model. Error handling. Best Practices for Using Cloud Storage Naming buckets for static websites and other uses. Naming objects (from an access distribution perspective). Performance considerations. Setting up and debugging a CORS configuration on a bucket. Lab: Store files in Cloud Storage. Handling Authentication and Authorization Cloud Identity and Access Management (IAM) roles and service accounts. User authentication by using Firebase Authentication. User authentication and authorization by using Cloud Identity-Aware Proxy. Lab: Authenticate users by using Firebase Authentication. Using Pub/Sub to Integrate Components of Your Application Topics, publishers, and subscribers. Pull and push subscriptions. Use cases for Cloud Pub/Sub. Lab: Develop a backend service to process messages in a message queue. Adding Intelligence to Your Application Overview of pre-trained machine learning APIs such as Cloud Vision API and Cloud Natural Language Processing API. Using Cloud Functions for Event-Driven Processing Key concepts such as triggers, background functions, HTTP functions. Use cases. Developing and deploying functions. Logging, error reporting, and monitoring. Managing APIs with Cloud Endpoints Open API deployment configuration. Lab: Deploy an API for your application. Deploying Applications Creating and storing container images. Repeatable deployments with deployment configuration and templates. Lab: Use Deployment Manager to deploy a web application into Google App Engine flexible environment test and production environments. Execution Environments for Your Application Considerations for choosing an execution environment for your application or service:Google Compute Engine (GCE),Google Kubernetes Engine (GKE), App Engine flexible environment, Cloud Functions, Cloud Dataflow, Cloud Run. Lab: Deploying your application on App Engine flexible environment. Debugging, Monitoring, and Tuning Performance Application Performance Management Tools. Stackdriver Debugger. Stackdriver Error Reporting. Lab: Debugging an application error by using Stackdriver Debugger and Error Reporting. Stackdriver Logging. Key concepts related to Stackdriver Trace and Stackdriver Monitoring. Lab: Use Stackdriver Monitoring and Stackdriver Trace to trace a request across services, observe, and optimize performance.

Duration 2 Days 12 CPD hours This course is intended for Implementation Consultants Key Technical Business Users involved in a GRC 12.0 project IT Governance Experts Consultants for SAP Security and GRC IT Auditors Business Project Team Leaders Overview This course will prepare you to: Introduce SAP Governance, Risk, and Compliance (GRC) 12.0 Identify key governance, risk, and compliance processes supported in the SAP GRC 12.0 solution Describe key features and business benefits of the integrated solution Identify applications that integrate with the SAP GRC 12.0 solution Describe the purpose and location of key user interface components Discuss harmonized navigation and how authorizations affect what users see Describe how common functions and relative master data are shared across the SAP GRC solutions Describe the IMG organization for GRC 12.0 Describe a general implementation process and key steps This course provides foundation knowledge for SAP Governance, Risk and Compliance (GRC) 12.0. By gaining familiarity with this solution?s harmonized navigation, common functions, shared master data, and the harmonized reporting framework, you will be better able to get the most value out of using the integrated applications in SAP GRC. Introduction to SAP Governance, Risk, and compliance (GRC) 12.0 Solution Introduction Solution Overview ? Enterprise Risk and Compliance Solution Overview ? Access Governance Solution Overview ? International Trade Management Solution Overview ? Cybersecurity Information Architecture, Security, and Authorizations Understanding the SAP Fiori Concept and Architecture Security and Authorizations The SAP GRC 12.0 User Interface Work Centers SAP Fiori Common Functions and Data User Interface Configuration Framework Shared Master Data Implementation and Configuration Streamlined Configuration Reporting Harmonized Reporting Framework SAP HANA Integration

Unreal Engine 4: The Complete Beginner's Course teaches you the fundamentals of video game development using Unreal Engine 4. Whether you have prior programming knowledge or not, this course will help you leverage the cutting-edge 3D game design software in developing the video games you always wanted.

Boost Your Career with Apex Learning and Get Noticed By Recruiters in this Hiring Season! Get Hard Copy + PDF Certificates + Transcript + Student ID Card worth £160 as a Gift - Enrol Now With a single payment you will gain access to Data Science Course Bundle 2022 including 10 Career development courses, original hardcopy certificate, transcript and a student ID card which will allow you to get discounts on things like music, food, travel and clothes etc. The world is one big data bank, and data science is one of the most demanding professional sectors of the present era. The analytical and programming-oriented field of data science has limited resources for candidates to learn and develop skills, which is why you need our highly advanced [course_title] course.With step-by-step interactive video content, our training will equip you with extensive knowledge and expertise in data science, including machine learning. This bundle course offers an opportunity to foster your career opportunities with an expert-level understanding of data science and become skilful in this industry. Take this course anywhere and at any time. Don't let your lifestyle limit your learning or your potential. Data Science Course Bundle 2022 will provide you with the CPD certificate that you'll need to succeed. Gain experience online and interact with experts. This can prove to be the perfect way to get noticed by a prospective employer and stand out from the crowd. Data Science Course Bundle 2022 has been rated and reviewed highly by our learners and professionals alike. We have a passion for teaching, and it shows. All of our courses have interactive online modules that allow studying to take place where and when you want it to. The only thing you need to take Data Science Course Bundle 2022 is Wi-Fi and a screen. You'll never be late for class again. Experienced tutors and mentors will be there for you whenever you need them, and solve all your queries through email and chat boxes. Benefits you'll get choosing Apex Learning for this Course: One payment, but lifetime access to 11 CPD courses Certificates, student ID for the title course included in a one-time fee Full tutor support available from Monday to Friday Free up your time - don't waste time and money travelling for classes Accessible, informative modules taught by expert instructors Learn at your ease - anytime, from anywhere Study the course from your computer, tablet or mobile device CPD accredited course - improve the chance of gaining professional skills Gain valuable knowledge without leaving your home What other courses are included with this Course? Level 2 Microsoft Office Essentials Microsoft Teams Leadership & Management Diploma Working from Home Essentials Mental Health and Working from Home Online Meeting Management Effective Communication Skills Time Management Report Writing Emotional Intelligence and Human Behaviour Curriculum ***Data Science Course Bundle 2022*** Welcome, Course Introduction & overview, and Environment set-up Welcome & Course Overview Set-up the Environment for the Course (lecture 1) Set-up the Environment for the Course (lecture 2) Two other options to setup environment Python Essentials Python data types Part 1 Python Data Types Part 2 Loops, List Comprehension, Functions, Lambda Expression, Map and Filter (Part 1) Loops, List Comprehension, Functions, Lambda Expression, Map and Filter (Part 2) Python Essentials Exercises Overview Python Essentials Exercises Solutions Python for Data Analysis using NumPy What is Numpy? A brief introduction and installation instructions. NumPy arrays, built-in methods, array methods and attributes. Indexing, slicing, broadcasting & boolean masking Arithmetic Operations & Universal Functions Exercises Overview Exercises Solutions Python for Data Analysis using Pandas What is pandas? A brief introduction and installation instructions. Pandas Introduction Pandas Data Structures - Series Pandas Data Structures - DataFrame Handling Missing Data Data Wrangling - Combining, merging, joining Groupby Useful Methods and Operations Project 1 (Overview) Customer Purchases Data Project 1 (Solutions) Customer Purchases Data Project 2 (Overview) Chicago Payroll Data Project 2 (Solutions Part 1) Chicago Payroll Data Python for Data Visualization using matplotlib Matplotlib Essentials (Part 1) - Basic Plotting & Object Oriented Approach Matplotlib Essentials (Part 2) - Basic Plotting & Object Oriented Approach Matplotlib Essentials (Part 3) - Basic Plotting & Object Oriented Approach Matplotlib Essentials - Exercises Overview Matplotlib Essentials - Exercises Solutions Python for Data Visualization using Seaborn Introduction & Installation Distribution Plots Categorical Plots (Part 1) Categorical Plots (Part 2) Axis Grids Matrix Plots Regression Plots Controlling Figure Aesthetics Exercises Overview Exercise Solutions Python for Data Visualization using pandas Pandas Built-in Data Visualization Pandas Data Visualization Exercises Overview Panda Data Visualization Exercises Solutions Python for interactive & geographical plotting using Plotly and Cufflinks Interactive & Geographical Plotting (Part 1) Interactive & Geographical Plotting (Part 2) Interactive & Geographical Plotting Exercises (Overview) Interactive & Geographical Plotting Exercises (Solutions) Capstone Project - Python for Data Analysis & Visualization Project 1 - Oil vs Banks Stock Price during recession (Overview) Project 1 - Oil vs Banks Stock Price during recession (Solutions Part 1) Project 1 - Oil vs Banks Stock Price during recession (Solutions Part 2) Project 1 - Oil vs Banks Stock Price during recession (Solutions Part 3) Project 2 (Optional) - Emergency Calls from Montgomery County, PA (Overview) Python for Machine Learning (ML) - scikit-learn - Linear Regression Model Introduction to ML - What, Why and Types….. Theory Lecture on Linear Regression Model, No Free Lunch, Bias Variance Tradeoff Linear Regression Model - Hands-on (Part 1) Linear Regression Model Hands-on (Part 2) Good to know! How to save and load your trained Machine Learning Model! Linear Regression Model (Insurance Data Project Overview) Linear Regression Model (Insurance Data Project Solutions) Python for Machine Learning - scikit-learn - Logistic Regression Model Theory: Logistic Regression, conf. mat., TP, TN, Accuracy, Specificity…etc. Logistic Regression Model - Hands-on (Part 1) Logistic Regression Model - Hands-on (Part 2) Logistic Regression Model - Hands-on (Part 3) Logistic Regression Model - Hands-on (Project Overview) Logistic Regression Model - Hands-on (Project Solutions) Python for Machine Learning - scikit-learn - K Nearest Neighbors Theory: K Nearest Neighbors, Curse of dimensionality …. K Nearest Neighbors - Hands-on K Nearest Neighbors (Project Overview) K Nearest Neighbors (Project Solutions) Python for Machine Learning - scikit-learn - Decision Tree and Random Forests Theory: D-Tree & Random Forests, splitting, Entropy, IG, Bootstrap, Bagging…. Decision Tree and Random Forests - Hands-on (Part 1) Decision Tree and Random Forests (Project Overview) Decision Tree and Random Forests (Project Solutions) Python for Machine Learning - scikit-learn -Support Vector Machines (SVMs) Support Vector Machines (SVMs) - (Theory Lecture) Support Vector Machines - Hands-on (SVMs) Support Vector Machines (Project 1 Overview) Support Vector Machines (Project 1 Solutions) Support Vector Machines (Optional Project 2 - Overview) Python for Machine Learning - scikit-learn - K Means Clustering Theory: K Means Clustering, Elbow method ….. K Means Clustering - Hands-on K Means Clustering (Project Overview) K Means Clustering (Project Solutions) Python for Machine Learning - scikit-learn - Principal Component Analysis (PCA) Theory: Principal Component Analysis (PCA) Principal Component Analysis (PCA) - Hands-on Principal Component Analysis (PCA) - (Project Overview) Principal Component Analysis (PCA) - (Project Solutions) Recommender Systems with Python - (Additional Topic) Theory: Recommender Systems their Types and Importance Python for Recommender Systems - Hands-on (Part 1) Python for Recommender Systems - - Hands-on (Part 2) Python for Natural Language Processing (NLP) - NLTK - (Additional Topic) Natural Language Processing (NLP) - (Theory Lecture) NLP-Challenges, Data Sources, Data Processing ….. Feature Engineering and Text Preprocessing in Natural Language Processing NLP - Tokenization, Text Normalization, Vectorization, BoW…. BoW, TF-IDF, Machine Learning, Training & Evaluation, Naive Bayes … Pipeline feature to assemble several steps for cross-validation… How will I get my Certificate? After successfully completing the course you will be able to order your CPD Accredited Certificates (PDF + Hard Copy) as proof of your achievement. PDF Certificate: Free (Previously it was £10 * 11 = £110) Hard Copy Certificate: Free (For The Title Course) If you want to get hardcopy certificates for other courses, generally you have to pay £20 for each. But this Fall, Apex Learning is offering a Flat 50% discount on hard copy certificates, and you can get each for just £10! P.S. The delivery charge inside the U.K. is £3.99 and the international students have to pay £9.99. CPD 20 CPD hours / points Accredited by CPD Quality Standards Who is this course for? There is no experience or previous qualifications required for enrolment on this Data Science Course Bundle 2022. It is available to all students, of all academic backgrounds. Requirements Our Data Science Course Bundle 2022 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 this CPD certificate 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. Certificates Certificate of completion Digital certificate - Included

You will learn how to become a Python developer through this course.

This video course takes you through the basic and advanced JavaScript methods, enabling you to understand and implement them in a correct way. The course is filled with tips and tricks that will help you tackle tough interview questions to get a job.

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Overview Improve your work and your writing dramatically by harnessing the untapped capabilities of Microsoft Word. Every writer and administrator uses Microsoft Word, but by taking this innovative course, you will learn how to use its many functions to your advantage. This MS Word Diploma course presents ways in which you can use extra functions built into Word to automate and invigorate your communications. You'll be taught how to use Mail Merge and customise the software to your specific requirements, making it easy to enhance and format letters or documentation. It could provide you with a revelation in terms of use and make Word an invaluable assistant. 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 MS Word Diploma. It is available to all students, of all academic backgrounds. Requirements Our MS Word Diploma 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 • 31 lectures • 03:58:00 total length •Navigate in Microsoft Word: 00:12:00 •Create and Save Word Documents: 00:24:00 •Manage Your Workspace: 00:06:00 •Edit Documents: 00:16:00 •Preview and Print Documents: 00:04:00 •Customize the Word Environment: 00:08:00 •Apply Character Formatting: 00:17:00 •Control Paragraph Layout: 00:19:00 •Align Text Using Tabs: 00:07:00 •Display Text in Bulleted or Numbered Lists: 00:03:00 •Apply Borders and Shading: 00:04:00 •Make Repetitive Edits: 00:06:00 •Apply Repetitive Formatting: 00:10:00 •Use Styles to Streamline Repetitive Formatting Tasks: 00:14:00 •Sort a List: 00:05:00 •Format a List: 00:06:00 •Insert a Table: 00:07:00 •Modify a Table: 00:06:00 •Format a Table: 00:03:00 •Convert Text to a Table: 00:04:00 •Insert Symbols and Special Characters: 00:04:00 •Add Images to a Document: 00:11:00 •Apply a Page Border and Color: 00:03:00 •Add Headers and Footers: 00:05:00 •Control Page Layout: 00:05:00 •Add a Watermark: 00:04:00 •Check Spelling Grammar and Readability: 00:07:00 •Use Research Tools: 00:06:00 •Check Accessibility: 00:03:00 •Save a Document to Other Formats: 00:04:00 •Assignment - MS Word Diploma: 00:05:00