2903 Intelligence courses delivered Online

A transformative course to take you out of feeling stuck in your work & make lasting positive changes mindfully and practically.

Overview With the ever-increasing demand for Big Data Analytics in personal & professional settings, this online training aims at educating, nurturing, and upskilling individuals to stay ahead of the curve - whatever their level of expertise in Big Data Analytics may be. Learning about Big Data Analytics or keeping up to date on it can be confusing at times, and maybe even daunting! But that's not the case with this course from Compete High. We understand the different requirements coming with a wide variety of demographics looking to get skilled in Big Data Analytics . That's why we've developed this online training in a way that caters to learners with different goals in mind. The course materials are prepared with consultation from the experts of this field and all the information on Big Data Analytics is kept up to date on a regular basis so that learners don't get left behind on the current trends/updates. The self-paced online learning methodology by compete high in this Big Data Analytics course helps you learn whenever or however you wish, keeping in mind the busy schedule or possible inconveniences that come with physical classes. The easy-to-grasp, bite-sized lessons are proven to be most effective in memorising and learning the lessons by heart. On top of that, you have the opportunity to receive a certificate after successfully completing the course! Instead of searching for hours, enrol right away on this Big Data Analytics course from Compete High and accelerate your career in the right path with expert-outlined lessons and a guarantee of success in the long run. Who is this course for? While we refrain from discouraging anyone wanting to do this Big Data Analytics course or impose any sort of restrictions on doing this online training, people meeting any of the following criteria will benefit the most from it: Anyone looking for the basics of Big Data Analytics , Jobseekers in the relevant domains, Anyone with a ground knowledge/intermediate expertise in Big Data Analytics , Anyone looking for a certificate of completion on doing an online training on this topic, Students of Big Data Analytics , or anyone with an academic knowledge gap to bridge, Anyone with a general interest/curiosity Career Path This Big Data Analytics course smoothens the way up your career ladder with all the relevant information, skills, and online certificate of achievements. After successfully completing the course, you can expect to move one significant step closer to achieving your professional goals - whether it's securing that job you desire, getting the promotion you deserve, or setting up that business of your dreams.     Course Curriculum Module 1_ Introduction to Big Data. Introduction to Big Data. 00:00 Module 2_ Hadoop and MapReduce. Hadoop and MapReduce. 00:00 Module 3_ NoSQL Databases. NoSQL Databases. 00:00 Module 4_ Data Storage and Retrieval. Data Storage and Retrieval. 00:00 Module 5_ Data Processing with Spark. Data Processing with Spark. 00:00 Module 6_ Data Analysis with Hadoop and Pig. Data Analysis with Hadoop and Pig. 00:00

SQL for Data Science, Data Analytics and Data Visualization Course Overview: This course offers a comprehensive introduction to SQL, designed for those looking to enhance their skills in data science, data analytics, and data visualisation. Learners will develop the ability to work with SQL databases, efficiently query and manage data, and apply these techniques for data analysis in both SQL Server and Azure Data Studio. By mastering SQL statements, aggregation, filtering, and advanced commands, learners will be equipped with the technical skills required to manage large datasets and extract meaningful insights. The course provides a solid foundation in data structures, user management, and working with multiple tables, culminating in the ability to perform complex data analysis and visualisation tasks. Course Description: This course covers a broad range of topics essential for anyone working with data in a professional capacity. From setting up SQL servers to mastering database management tools like SQL Server Management Studio (SSMS) and SQL Azure Data Studio, the course provides a thorough grounding in SQL. Learners will gain expertise in data structure statements, filtering data, and applying aggregate functions, as well as building complex SQL queries for data analysis. The course also includes instruction on SQL user management, group by statements, and JOINs for multi-table analysis. Key topics such as SQL constraints, views, stored procedures, and database backup and restore are also explored. The course incorporates SQL visualisation tools in Azure Data Studio, empowering learners to visualise data effectively. By the end of the course, learners will be proficient in SQL queries, data manipulation, and using Azure for data analysis. SQL for Data Science, Data Analytics and Data Visualization Curriculum: Module 01: Getting Started Module 02: SQL Server Setting Up Module 03: SQL Azure Data Studio Module 04: SQL Database Basic SSMS Module 05: SQL Statements for DATA Module 06: SQL Data Structure Statements Module 07: SQL User Management Module 08: SQL Statement Basic Module 09: Filtering Data Rows Module 10: Aggregate Functions Module 11: SQL Query Statements Module 12: SQL Group By Statement Module 13: JOINS for Multiple Table Data Analysis Module 14: SQL Constraints Module 15: Views Module 16: Advanced SQL Commands Module 17: SQL Stored Procedures Module 18: Azure Data Studio Visualisation Module 19: Azure Studio SQL for Data Analysis Module 20: Import & Export Data Module 21: Backup and Restore Database (See full curriculum) Who is this course for? Individuals seeking to enhance their data management and analysis skills. Professionals aiming to progress in data science, data analytics, or database administration. Beginners with an interest in data analysis and SQL databases. Anyone looking to gain expertise in SQL for Azure and SQL Server environments. Career Path: Data Analyst Data Scientist Database Administrator SQL Developer Business Intelligence Analyst Data Visualisation Specialist

Overview This comprehensive course on Business Analystics for Beginners Using SASS will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Business Analystics for Beginners Using SASS comes with accredited certification from CPD, 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 Business Analystics for Beginners Using SASS. It is available to all students, of all academic backgrounds. Requirements Our Business Analystics for Beginners Using SASS 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 Learning this new skill will help you to advance in your career. It will diversify your job options and help you develop new techniques to keep up with the fast-changing world. This skillset will help you to- Open doors of opportunities Increase your adaptability Keep you relevant Boost confidence And much more! Course Curriculum 13 sections • 73 lectures • 08:10:00 total length •SAS Introduction: 00:07:00 •Introduction to SAS Program: 00:05:00 •Read SAS Dataset: 00:09:00 •Practice Read Dataset: 00:08:00 •Practical Example on Read Dataset: 00:02:00 •Introduction to SAS Dataset: 00:12:00 •SAS Dataset Practical Example: 00:07:00 •SAS Dataset Practical Program: 00:06:00 •DateValue: 00:03:00 •SAS Formats Part 1: 00:13:00 •SAS Formats Part 2: 00:09:00 •Reading Excel Worksheets: 00:05:00 •Reading Excel Worksheet Example: 00:11:00 •Date Format Example: 00:06:00 •Raw Data File Standard Part 1: 00:09:00 •Raw Data File Standard Part 2: 00:08:00 •Raw Data File Standard Example: 00:06:00 •Raw Data File Non Standard: 00:07:00 •Raw Data File Non Standard Example: 00:06:00 •Length Statement: 00:02:00 •Compilation Execution: 00:04:00 •Heading: 00:01:00 •Dataerrors: 00:05:00 •Data Errorsz Example: 00:03:00 •Validate Data Procfreq: 00:05:00 •Validate Data Procpront: 00:07:00 •Validate Data Peocmeans: 00:05:00 •Dat Constant: 00:07:00 •Assignment Statement: 00:09:00 •If Then Statement: 00:09:00 •If Then Do End Statement: 00:09:00 •Diff Where and If Statement: 00:02:00 •Keep Drop: 00:08:00 •Keep Drop Example: 00:04:00 •Append: 00:09:00 •Append Examples part 1: 00:09:00 •Append Examples part 2: 00:07:00 •Concatenate: 00:12:00 •Merge: 00:06:00 •Merge One to One: 00:07:00 •Merge One to Many: 00:04:00 •Merge Non Match: 00:04:00 •Global Statements: 00:09:00 •Global Statements Examples Part 1: 00:08:00 •Global Statements Examples Part 2: 00:06:00 •Title n Foot Note: 00:05:00 •Title n Foot Note Example: 00:08:00 •By Statement: 00:08:00 •Multiple Where Stament: 00:03:00 •ODS: 00:07:00 •ODS Example: 00:04:00 •Sas Date Function: 00:10:00 •Sas Date Function Example: 00:08:00 •Sas Functions Part 1: 00:10:00 •Sas Functions Part 2: 00:08:00 •Sas Functions: 00:07:00 •Sas Functions Example Part 1: 00:07:00 •Sas Functions Example Part 2: 00:09:00 •Multiple SAS Datasets Part 1: 00:05:00 •Multiple SAS Datasets Part 2: 00:02:00 •Multiple SAS Datasets Example: 00:09:00 •Select Group: 00:09:00 •Select Group Example: 00:08:00 •Do Loop Part 1: 00:07:00 •Do Loop Part 2: 00:06:00 •Do Loop Example: 00:07:00 •Array Part 1: 00:05:00 •Array Part 2: 00:08:00 •Array DoLoop: 00:06:00 •ArrayTemp: 00:05:00 •Array Example: 00:10:00 •Sas Statement Part 1: 00:04:00 •Sas Statement Part 2: 00:05:00

This course is about developing core skills that will stay with you for a lifetime. It is designed such that you can watch the material and follow along step-by-step. It focuses on the implementation of YOLOv4 to get you up and running. You'll be an object detecting ninja in no time and be able to graduate to more advanced content.

Transport and Logistics Management with Warehouse Associate Training Diploma Master the intricacies of Transport and Logistics Management while acquiring the specialised skills of a Warehouse Associate. Take control of every link in the supply chain with our Transport and Logistics Management with Warehouse Associate Training Diploma. Learning Outcomes: Deliver exceptional customer service within logistics operations. Decode and apply business and international trade procedures pertinent to logistics. Optimise supply chain management to drive efficiency and effectiveness. Design warehouse layout configurations to maximise space and operational flow. Implement safety protocols and regulations within warehouse settings. Leverage cutting-edge technology for enhanced logistics and warehousing performance. More Benefits: LIFETIME access Device Compatibility Free Workplace Management Toolkit Key Modules from Transport and Logistics Management with Warehouse Associate Training Diploma: Customer Service and Logistics Perfect the art of balancing customer needs with operational requirements in logistics. Business and International Trade Procedures Adapt to the protocols of business and international trade to ensure seamless logistics operations. Supply Chain Management in Logistics Strategise and optimise supply chain processes to elevate logistics performance. Warehouse Layout Master layout planning to optimise warehouse operations, improving both space and efficiency. Warehouse Safety and Regulations Prioritise and enact safety measures to ensure a compliant and risk-free warehouse environment. Technology in Logistics and warehousing Adopt technological advancements to streamline operations, from inventory control to real-time tracking.

This course will help you become an expert in Vietnamese in any professional setting.

Unlock your potential in business writing with a focus on stock analysis articles. Learn to research, write, and present compelling business articles that not only inform but also command attention. This course is your step-by-step guide to mastering the art of persuasive and insightful business writing.

We will cover why employee motivation is critical and how to do it effectively in this course.

This course aims to help you advance your career by ensuring that you excel in business management.