4284 Analyst courses

Linux Security and Hardening Course Overview: This "Linux Security and Hardening" course provides a comprehensive introduction to the essential practices required to secure Linux systems. It covers fundamental aspects of security, including general, physical, account, and network security, as well as file system security measures. With a focus on Linux-specific tools and techniques, the course is designed to equip learners with the knowledge to protect their systems from common vulnerabilities. By completing this course, learners will understand the key concepts and be able to implement security measures effectively, ensuring the integrity and confidentiality of their Linux-based systems. Course Description: In this course, learners will explore various layers of Linux security and hardening techniques to protect against threats. Topics covered include general system security, physical security, account management, network protection, and securing file systems. The course also provides additional resources to enhance your understanding of Linux security. By engaging with these modules, learners will acquire the skills necessary to safeguard systems, mitigate risks, and create a secure environment. This course is suitable for those wishing to bolster their technical expertise and for professionals eager to advance their career in Linux system administration and security. Linux Security and Hardening Curriculum: Module 01: Course Overview and Downloads Module 02: General Security Module 03: Physical Security Module 04: Account Security Module 05: Network Security Module 06: File System Security Module 07: Additional Resources (See full curriculum) Who is this course for? Individuals seeking to enhance their knowledge of Linux security. Professionals aiming to advance their career in Linux system administration. Beginners with an interest in system security and IT infrastructure. Those looking to specialise in security and hardening for Linux-based environments. Career Path: Linux System Administrator IT Security Analyst Network Security Specialist System Security Engineer Cybersecurity Consultant

Process Improvement Course Overview: This course on Process Improvement provides a comprehensive foundation for learners to understand and apply key principles of process management and optimisation. Participants will explore various strategies, tools, and methodologies to streamline processes, enhance efficiency, and reduce waste. Emphasising real-world applicability, the course equips learners with the knowledge to analyse, design, and implement process improvements in a variety of professional settings. By the end, learners will be able to identify inefficiencies, propose targeted improvements, and contribute effectively to organisational performance enhancement. Course Description: In this course, learners will delve into the essentials of process improvement, covering fundamental concepts and frameworks used to optimise operations. Topics include the types of processes, the methodologies for process analysis, and the steps for implementing effective process improvements. Learners will gain a deep understanding of key process improvement techniques, such as Six Sigma and Lean, and develop the skills to assess and refine processes. The course also includes a LIVE demonstration, allowing learners to see the implementation of improvements in action, ensuring they are well-equipped to contribute to the efficiency of their organisations. Process Improvement Curriculum: Module 01: Introduction Module 02: The Fundamentals of Process Improvement Module 03: Types of Process in Process Improvement Module 04: The Process of Delivering Process Improvement Module 05: LIVE Demonstration of a Process Improvement Module 06: Close Out (See full curriculum) Who is this course for? Individuals seeking to enhance operational efficiency. Professionals aiming to advance their career in process management. Beginners with an interest in process improvement or management. Anyone looking to understand key strategies for process optimisation. Career Path: Process Improvement Specialist Business Process Analyst Operations Manager Lean Six Sigma Consultant Continuous Improvement Coordinator

UK Politics Course Overview This course offers a comprehensive introduction to UK politics, providing an in-depth understanding of its structures, systems, and key political processes. Covering essential topics such as democracy, electoral systems, political parties, and pressure groups, the course offers valuable insights into how the UK’s political system operates. Learners will explore the dynamics between government, society, and international relations, equipping themselves with knowledge applicable to a wide range of professional settings. By the end of the course, students will gain a solid foundation in UK politics, enabling them to engage with current affairs more critically and effectively. Course Description The UK Politics course delves into the core components of the UK political system, exploring the history and functioning of democracy, electoral systems, and the role of political parties and pressure groups. Learners will gain an understanding of the structure and powers of government, the electoral process, and how the UK engages in global politics, particularly in relation to the European Union. The course is designed to provide both theoretical knowledge and practical insights, empowering learners to critically analyse political developments and debates. Key skills gained will include political analysis, problem-solving in political contexts, and an ability to engage with policy discussions. UK Politics Curriculum Module 01: Overview of UK Politics Module 02: Concept of Democracy Module 03: Electoral Systems Module 04: Political Parties in UK’s Representative Democracy Module 05: Pressure Groups in the UK Module 06: The European Union (See full curriculum) Who is this course for? Individuals seeking to understand the UK political system. Professionals aiming to enhance their knowledge of political structures. Beginners with an interest in politics and governance. Anyone looking to improve their analytical skills in political contexts. Career Path Political Analyst Policy Advisor Public Relations Specialist Government Official International Relations Consultant Political Campaigner

Inventory Management Course Overview: This course on Inventory Management is designed to equip learners with essential knowledge and skills in managing inventory systems effectively. Covering key areas such as types of inventory, demand identification, and maintaining accuracy, it provides the foundation for anyone looking to optimise warehouse operations. Learners will gain an understanding of how to establish efficient inventory systems and the critical role that inventory management plays in ensuring business success. This course will help participants develop the expertise needed to contribute to more effective supply chain and warehouse management. Course Description: In this course, learners will explore the fundamentals of inventory management, from defining inventory to understanding different types of inventory and key industry players. Topics such as warehouse setup, identifying demand, and maintaining inventory accuracy are covered in depth. The course also delves into the outbound process and how to streamline operations to ensure that stock levels are effectively managed. By the end of the course, learners will have developed the necessary skills to improve inventory systems, contribute to better decision-making processes, and understand the broader implications of inventory management within a business context. Inventory Management Curriculum: Module 01: What Is Inventory? Module 02: Types Of Inventory Module 03: Key Players Module 04: Setting Up The Warehouse Module 05: Identifying Demand Module 06: Maintaining Inventory Accuracy Module 07: The Outbound Process (See full curriculum) Who is this course for? Individuals seeking to improve their knowledge of inventory systems. Professionals aiming to enhance their expertise in warehouse management. Beginners with an interest in logistics and supply chain management. Those interested in a career in inventory management or related fields. Career Path: Inventory Manager Supply Chain Coordinator Warehouse Supervisor Operations Analyst Logistics Specialist

Javascript for Data Structures Course Overview This course, JavaScript for Data Structures, offers a comprehensive introduction to fundamental data structures using JavaScript. Learners will explore core concepts such as lists, stacks, queues, and sets, gaining a solid understanding of how data is organised and managed in programming. The course emphasises clear, logical thinking and problem-solving skills applicable to software development, data analysis, and computer science. By the end, participants will be able to implement key data structures effectively, enhancing their coding proficiency and preparing them for more advanced programming challenges or career opportunities in technology-related fields. Course Description This course delves into essential data structures within JavaScript, providing detailed coverage of lists, stacks, queues, and sets. Learners will study how these structures operate, their use cases, and how to manipulate them efficiently in code. The curriculum is designed to develop both theoretical understanding and coding ability through structured explanations and examples. Throughout the course, students will develop skills in data organisation, algorithmic thinking, and memory management principles. This knowledge is critical for writing optimised code and tackling complex computational problems in software development and data science domains. Javascript for Data Structures Curriculum Module 01: Introduction Module 02: Essential Concepts Module 03: List Data Structure Module 04: Stack Data Structure Module 05: Queue Data Structure Module 06: Set Data Structure Module 07: Final Thought (See full curriculum) Who Is This Course For? Individuals seeking to build strong foundations in data structures using JavaScript. Professionals aiming to enhance their software development skills. Beginners with an interest in programming and computer science. Students preparing for technical roles in coding or data analysis. Career Path Software Developer Front-End Developer Data Analyst Junior Programmer Computer Science Student

Course Overview The LEED V4 - Building Design and Construction course offers an in-depth exploration of sustainable building practices in line with the LEED (Leadership in Energy and Environmental Design) standards. Learners will gain a comprehensive understanding of the LEED V4 framework and its application to building design and construction. The course highlights key principles, including energy efficiency, environmental responsibility, and resource management, equipping participants with the knowledge to meet LEED certification requirements. Upon completion, learners will be prepared to integrate sustainable practices into their work, contributing to green building initiatives and reducing environmental impact in the construction industry. Course Description This course delves into the core components of the LEED V4 standards, covering a broad spectrum of topics such as integrative processes, sustainable site development, water efficiency, energy optimisation, and indoor environmental quality. Learners will explore how these elements impact building design and construction, learning how to create energy-efficient, eco-friendly structures. The course provides a thorough examination of each LEED category, equipping participants with the skills needed to navigate the certification process and apply sustainable design principles to real-world projects. By the end, learners will have the knowledge to assess projects for LEED compliance and incorporate green strategies into building practices, driving sustainability forward. Course Modules Module 01: Introduction Module 02: Integrative Process Module 03: Location & Transportation Module 04: Sustainable Sites Module 05: Water Efficiency Module 06: Energy & Atmosphere Module 07: Materials & Resources Module 08: Indoor Environment Quality Module 09: Innovation Module 10: Regional Priority Module 11: Completion (See full curriculum) Who is this course for? Individuals seeking to enhance their knowledge of sustainable building practices Professionals aiming to pursue LEED accreditation or certification Beginners with an interest in green building and environmental design Architects, engineers, and construction managers looking to stay current with industry standards Sustainability advocates looking to make a difference in the built environment Career Path Green Building Consultant LEED Accredited Professional Sustainability Coordinator Environmental Consultant Energy Manager Construction Project Manager Sustainability Analyst

Root Cause Analysis (RCA) is used to analyse the root causes of focus events with both positive and negative outcomes, but it is most commonly used for the analysis of failures and incidents. Causes for such events can be varied in nature, including design processes and techniques, organizational characteristics, human aspects and external events. RCA can be used for investigating the causes of non-conformances in quality (and other) management systems as well as for failure analysis, for example in maintenance or equipment testing.

Are you embarking on the journey of mastering data analytics and visualisation in the UK? The 'Advanced Diploma in Microsoft Power BI 2021 at QLS Level 7' is your beacon. Positioned to illuminate the intricate realm of Power BI, this course offers a comprehensive look into the foundational aspects and the advanced features that make Microsoft's tool a standout. With sections meticulously designed ranging from the fundamentals, like data transformation, to advanced concepts, such as integrating Power BI with Python and storytelling with data, this course ensures learners grasp the complete spectrum. With the rising emphasis on data analytics in today's business world, this course acquaints you with Power BI's prowess. It prepares you for the sought-after Microsoft Power BI certification in the UK. Learning Outcomes Comprehend the fundamental aspects of Power BI, from initiating a project to understanding the user interface. Develop proficiency in advanced data transformation techniques and data model creation. Integrate Python with Power BI and harness the benefits of both for enhanced data analytics. Master the art of 'Storytelling with Data' to deliver impactful presentations and reports. Understand and implement Row-Level Security and harness Power BI Cloud services efficiently. Why choose this Advanced Diploma in Microsoft Power BI 2021 at QLS Level 7? Unlimited access to the course for a lifetime. Opportunity to earn a certificate accredited by the CPD Quality Standards after completing this course. Structured lesson planning in line with industry standards. Immerse yourself in innovative and captivating course materials and activities. Assessments are designed to evaluate advanced cognitive abilities and skill proficiency. Flexibility to complete the course at your own pace, on your own schedule. Receive full tutor support throughout the week, from Monday to Friday, to enhance your learning experience. Who is this Advanced Diploma in Microsoft Power BI 2021 at QLS Level 7 for? Individuals keen on obtaining the Microsoft power bi certification UK. Analysts and data professionals aspiring to enhance their data visualisation skills. Business professionals wanting to leverage Power BI for insightful business decision-making. Tech enthusiasts aiming to amalgamate programming (Python) with data analytics. Those seeking to stay updated with the latest trends in Power BI and its evolving capabilities. Career path Data Analyst: Average Salary £30,000 - £40,000 Annually Business Intelligence Developer: Average Salary £35,000 - £45,000 Annually Power BI Developer: Average Salary £40,000 - £50,000 Annually Data Visualisation Specialist: Average Salary £32,000 - £42,000 Annually Business Intelligence Manager: Average Salary £45,000 - £55,000 Annually Data Strategy Consultant: Average Salary £50,000 - £60,000 Annually Prerequisites This Advanced Diploma in Microsoft Power BI 2021 at QLS Level 7 does not require you to have any prior qualifications or experience. You can just enrol and start learning. This course was made by professionals and it is compatible with all PC's, Mac's, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection. Certification After studying the course materials, there will be a written assignment test which you can take at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £4.99 Original Hard Copy certificates need to be ordered at an additional cost of £8. Endorsed Certificate of Achievement from the Quality Licence Scheme Learners will be able to achieve an endorsed certificate after completing the course as proof of their achievement. You can order the endorsed certificate for only £135 to be delivered to your home by post. For international students, there is an additional postage charge of £10. Endorsement The Quality Licence Scheme (QLS) has endorsed this course for its high-quality, non-regulated provision and training programmes. The QLS is a UK-based organisation that sets standards for non-regulated training and learning. This endorsement means that the course has been reviewed and approved by the QLS and meets the highest quality standards. Please Note: Studyhub is a Compliance Central approved resale partner for Quality Licence Scheme Endorsed courses. Course Curriculum Section 01: Introduction Welcome! 00:01:00 What is Power BI? 00:03:00 Download & Installing Power BI Desktop 00:04:00 Getting to know the interface 00:03:00 Mini Project: Transform Data 00:07:00 Mini Project: Visualize Data 00:05:00 Mini Project: Creating a Data Model 00:07:00 Course Outline: What will you learn in this course? 00:05:00 How to learn best with this course? 00:03:00 Section 02: Preparing our Project Creating our initial project file 00:04:00 Working with the attached project files 00:04:00 Section 03: Data Transformation - The Query Editor Exploring the Query Editor 00:06:00 Connecting to our data source 00:07:00 Editing rows 00:08:00 Changing data types 00:08:00 Replacing values 00:03:00 Close & Apply 00:03:00 Connecting to a csv file 00:03:00 Connecting to a web page 00:05:00 Extracting characters 00:06:00 Splitting & merging columns 00:09:00 Creating conditional columns 00:06:00 Creating columns from examples 00:09:00 Merging Queries 00:17:00 Pivoting & Unpivoting 00:06:00 Appending Queries 00:08:00 Practice & Solution: Population table 00:15:00 The Fact-Dimension-Model 00:09:00 Practice: Load the dimension table 00:04:00 Organizing our queries in groups 00:03:00 Entering data manually 00:05:00 Creating an index column 00:03:00 Workflow & more transformations 00:05:00 Module summary 00:05:00 Exercise 1 - Instruction 00:02:00 Exercise Solution 00:11:00 Section 04: Data Transformation - Advanced Advanced Editor - Best practices 00:09:00 Performance: References vs. Duplicating 00:10:00 Performance: Enable / Disable Load & Report Refresh 00:05:00 Group by 00:05:00 Mathematical Operations 00:05:00 Run R Script 00:15:00 Using Parameters to dynamically transform data 00:06:00 M formula language: Basics 00:07:00 M formula language: Values, Lists & Tables 00:14:00 M formula language: Functions 00:13:00 M formula language: More functions & steps 00:05:00 Exercise 2 - Instructions 00:01:00 Exercise 2 - solution 00:05:00 Section 05: Creating a Data Model Understanding the relationship 00:05:00 Create & edit relationships 00:06:00 One-to-many & one-to-one relationship 00:06:00 Many-to-many (m:n) relationship 00:08:00 Cross filter direction 00:06:00 Activate & deactivate relationships 00:06:00 Model summary 00:03:00 Exercise 3 Create Model 00:03:00 Exercise 3 Solution 00:02:00 Section 06: Data Visualization Our first visual 00:08:00 The format tab 00:12:00 Understanding tables 00:10:00 Conditional formatting 00:09:00 The Pie Chart 00:06:00 All about the filter visual 00:13:00 The filter pane for developers 00:09:00 Cross filtering & edit interactions 00:04:00 Syncing slicers across pages 00:07:00 Creating drill downs 00:08:00 Creating drill throughs 00:07:00 The tree map visual 00:07:00 The decomposition tree 00:05:00 Understanding the matrix visual 00:05:00 Editing pages 00:07:00 Buttons & Actions 00:09:00 Bookmarks to customize your report 00:10:00 Analytics and Forecasts with line charts 00:10:00 Working with custom visuals 00:07:00 Get data using R Script & R Script visual 00:08:00 Asking questions - Q&A visual 00:04:00 Wrap up - data visualization 00:08:00 Section 07: Power BI & Python Python in Power BI - Plan of attack 00:03:00 Setting up Python for Power BI 00:03:00 Transforming data using Python 00:11:00 Creating visualizations using Python 00:08:00 Violin plots, pair plots & ridge plots using Python 00:15:00 Machine learning (BayesTextAnalyzer) using Python 00:00:00 Performance & Troubleshooting 00:03:00 Section 08: Storytelling with Data Introduction 00:01:00 Show Empathy & Identify the Requirement 00:03:00 Finding the Most Suitable KPI's 00:02:00 Choose an Effective Visualization 00:04:00 Make Use of Natural Reading Pattern 00:03:00 Tell a Story Using Visual Cues 00:05:00 Avoid Chaos & Group Information 00:02:00 Warp Up - Storytelling with Data 00:02:00 Section 09: DAX - The Essentials Introduction 00:03:00 The project data 00:04:00 Measures vs. Calculated Columns 00:15:00 Automatically creating a date table in DAX 00:08:00 CALENDAR 00:05:00 Creating a complete date table with features 00:04:00 Creating key measure table 00:03:00 Aggregation functions 00:06:00 The different versions of COUNT 00:14:00 SUMX - Row based calculations 00:09:00 Section 10: DAX - The CALCULATE function CALCULATE - The basics 00:11:00 Changing the context with FILTER 00:07:00 ALL 00:08:00 ALL SELECTED 00:03:00 ALL EXCEPT 00:07:00 Section 11: Power BI Service - Power BI Cloud How to go on now? 00:03:00 Power BI Pro vs Premium & Signing up 00:04:00 Exploring the interface 00:04:00 Discovering your workspace 00:03:00 Connecting Power BI Desktop & Cloud 00:04:00 Understanding datasets & reports 00:03:00 Working on reports 00:04:00 Updating reports from Power BI Desktop 00:04:00 Creating and working with workspaces 00:07:00 Installing & using a data gateway 00:13:00 Get Quick Insights 00:03:00 Creating dashboards 00:04:00 Sharing our results through Apps 00:10:00 Power BI Mobile App 00:05:00 Creating the layout for the Mobile App 00:04:00 Wrap up Power BI Cloud 00:07:00 Section 12: Row-Level Security Introduction 00:03:00 Creating a Row-Level Security 00:05:00 Row-Level Security in the Cloud 00:04:00 Row-Level Security & Data Model 00:05:00 Dynamic Row-Level Security 00:07:00 Dynamic Many-to-Many RLS 00:04:00 Hierarchical Row-Level Security 00:13:00 Section 13: More data sources JSON & REST API 00:10:00 Setting up a local MySQL database 00:14:00 Connecting to a MySQL database in Power BI 00:05:00 Connecting to a SQL database (PostgreSQL) 00:05:00 Section 14: Next steps to improve & stay up to date Congratulations & next steps 00:06:00 The End 00:01:00 Resources Resources - Advanced Diploma in Microsoft Power BI 2021 at QLS Level 7 00:00:00 Assignment Assignment - Advanced Diploma in Microsoft Power BI 2021 at QLS Level 7 04:00:00 Order your QLS Endorsed Certificate Order your QLS Endorsed Certificate 00:00:00

Course Description Get instant knowledge from this bite-sized Strategic Planning and Analysis for Marketing Part - 2 course. This course is very short and you can complete it within a very short time. In this Strategic Planning and Analysis for Marketing Part - 2 course you will get fundamental ideas of strategic planning and analysis for marketing, the key understanding of segmentation, targeting and so on. Enrol in this course today and start your instant first step towards learning about external analysis. Learn faster for instant implementation. Learning Outcome Familiarise with external analysis Understand market segmentation, targeting and positioning Gain in-depth knowledge of the approaches to customer analysis Deepen your understanding of approaches to competitor analysis How Much Do Marketing Managers Earn?  Senior - £68,000 Average - £49,000 Starting - £35,000 Requirement Our Strategic Planning and Analysis for Marketing Part - 2 is fully compatible with any kind of device. Whether you are using Windows computer, Mac, smartphones or tablets, you will get the same experience while learning. Besides that, you will be able to access the course with any kind of internet connection from anywhere at any time without any kind of limitation. Strategic Planning and Analysis for Marketing Part - 2 Module 01: External Analysis 00:24:00 Module 02: Market Segmentation, Targeting and Positioning 00:16:00 Module 03: Approaches to Customer Analysis 00:22:00 Module 04: Approaches to Competitor Analysis 00:25:00 Assignment Assignment - Strategic Planning and Analysis for Marketing Part - 2 00:00:00

Course Description Get instant knowledge from this bite-sized Strategic Planning and Analysis for Marketing Part - 1 course. This course is very short and you can complete it within a very short time. In this Strategic Planning and Analysis for Marketing Part - 1 course you will get fundamental ideas of strategic planning and analysis for marketing, the key understanding of the development of a strategic plan, internal analysis and so on. Enrol in this course today and start your instant first step towards learning about strategic planning for marketing. Learn faster for instant implementation. Learning Outcome Familiarise with strategic planning for marketing Understand strategic planning Gain in-depth knowledge of the development of a strategic plan Understand strategic and marketing analysis Learn about internal analysis How Much Do Marketing Managers Earn?  Senior - £68,000 Average - £49,000 Starting - £35,000 Requirement Our Strategic Planning and Analysis for Marketing Part - 1 is fully compatible with any kind of device. Whether you are using Windows computer, Mac, smartphones or tablets, you will get the same experience while learning. Besides that, you will be able to access the course with any kind of internet connection from anywhere at any time without any kind of limitation. Strategic Planning and Analysis for Marketing Part - 1 Module 01: An Introduction to Strategic Planning 00:17:00 Module 02: Development of a Strategic Plan 00:24:00 Module 03: Strategic Planning for Marketing 00:12:00 Module 04: Strategic and Marketing Analysis 00:14:00 Module 05: Internal Analysis 00:24:00 Assignment Assignment - Strategic Planning and Analysis for Marketing Part - 1 00:00:00