Empathy is one of the key building blocks of great social interactions. A lot is talked about regarding empathy, but there is very little practical support to help you to understand empathy and help you to develop your skills in empathy. Learn how to develop your empathy by understanding other people's viewpoints and perspectives to build effective, authentic relationships.
Classroom based, instructor led workshop with proctor at home exam. The lab-intensive Certified SOC Analyst (CSA) program emphasizes the holistic approach to deliver the advanced knowledge of how to identify, validate and defend against cyber-attacks.
Embrace the knowledge to fuel your career with our all-in-one 'Business Management and Development' bundle. This expertly curated bundle contains three QLS-endorsed courses in 'Business Management', 'Business Development', and 'IT Professional 2.0 Take Your Career To The Next Level'. Each course comes with a prestigious hardcopy certificate. Supplement your business acumen with an additional five CPD QS accredited courses - 'Business Intelligence Analyst Course', 'Marketing Strategies for Business', 'Business Plan', 'Basic Business Finance', and 'Business Law 2021'. Key Features of this Bundle: 3 QLS-Endorsed Courses: We proudly offer 3 QLS-endorsed courses within our Business Management and Development bundle, providing you with industry-recognized qualifications. Plus, you'll receive a free hardcopy certificate for each of these courses. QLS Course 01: Business Management QLS Course 02: Business Development QLS Course 03: IT Professional 2.0 Take Your Career To The Next Level 5 CPD QS Accredited Courses: Additionally, our bundle includes 5 relevant CPD QS accredited courses, ensuring that you stay up-to-date with the latest industry standards and practices. Course 01: Business Intelligence Analyst Course Course 02: Marketing Strategies for Business Course 03: Business Plan Course 04: Basic Business Finance Course 05: Business Law 2021 In Addition, you'll get Five Career Boosting Courses absolutely FREE with this Bundle. Course 01: Professional CV Writing Course 02: Job Search Skills Course 03: Self Esteem & Confidence Building Course 04: Professional Diploma in Stress Management Course 05: Complete Communication Skills Master Class Learning Outcomes: Understand the principles of business management and development. Learn how to effectively use IT to enhance business operations. Gain knowledge in business intelligence analysis. Understand and implement successful marketing strategies. Learn how to create and manage a solid business plan. Understand the basics of business finance. Gain an in-depth understanding of business law. The bundle also incorporates five CPD QS accredited courses covering various aspects of business including intelligence analysis, marketing strategies, business planning, finance, and law. Acquiring these skills can help you navigate the complex world of business, make informed decisions, and lead your business to success. CPD 250 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Individuals planning to start their own business. Professionals looking to enhance their theoretical knowledge in business management. Students studying business or related fields. Certificates Digital certificate Digital certificate - Included Hard copy certificate Hard copy certificate - Included
Tired of browsing and searching for a Data Analysis and Data Science course you are looking for? Can't find the complete package that fulfils all your needs? Then don't worry as you have just found the solution. Take a minute and look through this extensive bundle that has everything you need to succeed. After surveying thousands of learners just like you and considering their valuable feedback, this all-in-one Data Analysis and Data Science bundle has been designed by industry experts. We prioritised what learners were looking for in a complete package and developed this in-demand Data Analysis and Data Science course that will enhance your skills and prepare you for the competitive job market. Also, our experts are available for answering your queries on Data Analysis and Data Science and help you along your learning journey. Advanced audio-visual learning modules of these Data Analysis and Data Science courses are broken down into little chunks so that you can learn at your own pace without being overwhelmed by too much material at once. Furthermore, to help you showcase your expertise in Data Analysis and Data Science, we have prepared a special gift of 1 hardcopy certificate and 1 PDF certificate for the title course completely free of cost. These certificates will enhance your credibility and encourage possible employers to pick you over the rest. This Data Analysis and Data Science Bundle Consists of the following Premium courses: Course 01: Introduction to Data Analysis Course 02: Python for Data Analysis Course 03: Statistical Analysis Course 04: SQL NoSQL Big Data and Hadoop Course 05: Complete Microsoft Power BI 2021 Course 06: Data Analysis in Excel Level 3 Course Course 07: Data Analytics with Tableau Course 08: Basic Google Data Studio Course 09: Business Analytics Course 10: Complete Introduction to Business Data Analysis Level 3 Course 11: Business Intelligence and Data Mining Masterclass Course 12: Research Methods in Business Course 13: Computer Science: Graph Theory Algorithms Course 14: Data Protection and Data Security Level 2 Enrol now in Data Analysis and Data Science to advance your career, and use the premium study materials from Apex Learning. 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 (For The Title Course) Hard Copy Certificate: Free (For The Title Course) The bundle incorporates basic to advanced level skills to shed some light on your way and boost your career. Hence, you can strengthen your Data Analysis and Data Science expertise and essential knowledge, which will assist you in reaching your goal. Curriculum of Bundle Course 01: Introduction to Data Analysis Module 01: Introduction Module 02: Agenda and Principles of Process Management Module 03: The Voice of the Process Module 04: Working as One Team for Improvement Module 05: Exercise: The Voice of the Customer Module 06: Tools for Data Analysis Module 07: The Pareto Chart Module 08: The Histogram Module 09: The Run Chart Module 10: Exercise: Presenting Performance Data Module 11: Understanding Variation Module 12: The Control Chart Module 13: Control Chart Example Module 14: Control Chart Special Cases Module 15: Interpreting the Control Chart Module 16: Control Chart Exercise Module 17: Strategies to Deal with Variation Module 18: Using Data to Drive Improvement Module 19: A Structure for Performance Measurement Module 20: Data Analysis Exercise Module 21: Course Project Module 22: Test your Understanding Course 02: Python for Data Analysis Welcome, Course Introduction & overview, and Environment set-up Python Essentials Python for Data Analysis using NumPy Python for Data Analysis using Pandas Python for Data Visualization using matplotlib Python for Data Visualization using Seaborn Python for Data Visualization using pandas Python for interactive & geographical plotting using Plotly and Cufflinks Capstone Project - Python for Data Analysis & Visualization Python for Machine Learning (ML) - scikit-learn - Linear Regression Model Python for Machine Learning - scikit-learn - Logistic Regression Model Python for Machine Learning - scikit-learn - K Nearest Neighbors Python for Machine Learning - scikit-learn - Decision Tree and Random Forests Python for Machine Learning - scikit-learn -Support Vector Machines (SVMs) Python for Machine Learning - scikit-learn - K Means Clustering Python for Machine Learning - scikit-learn - Principal Component Analysis (PCA) Recommender Systems with Python - (Additional Topic) Python for Natural Language Processing (NLP) - NLTK - (Additional Topic) Course 03: Statistical Analysis Module 01: The Realm of Statistics Module 02: Basic Statistical Terms Module 03: The Center of the Data Module 04: Data Variability Module 05: Binomial and Normal Distributions Module 06: Introduction to Probability Module 07: Estimates and Intervals Module 08: Hypothesis Testing Module 09: Regression Analysis Module 10: Algorithms, Analytics and Predictions Module 11: Learning From Experience: The Bayesian Way Module 12: Doing Statistics: The Wrong Way Module 13: How We Can Do Statistics Better Course 04: SQL NoSQL Big Data and Hadoop Module 01: Introduction Module 02: Relational Database Systems Module 03: Database Classification Module 04: Key-Value Store Module 05: Document-Oriented Databases Module 06: Search Engines Module 07: Wide Column Store Module 08: Time Series Databases Module 09: Graph Databases Module 10: Hadoop Platform Module 11: Big Data SQL Engines Module 12: Distributed Commit Log Module 13: Summary Course 05: Complete Microsoft Power BI 2021 Module 01: Introduction Module 02: Preparing our Project Module 03: Data Transformation - The Query Editor Module 04: Data Transformation - Advanced Module 05: Creating a Data Model Module 06: Data Visualization Module 07: Power BI & Python Module 08: Storytelling with Data Module 09: DAX - The Essentials Module 10: DAX - The CALCULATE function Module 11: Power BI Service - Power BI Cloud Module 12: Row-Level Security Module 13: More data sources Module 14: Next steps to improve & stay up to date Course 06: Data Analysis in Excel Level 3 Course Modifying a Worksheet Working with Lists Analyzing Data Visualizing Data with Charts Using PivotTables and PivotCharts Working with Multiple Worksheets and Workbooks Using Lookup Functions and Formula Auditing Automating Workbook Functionality Creating Sparklines and Mapping Data Forecasting Data Course 07: Data Analytics with Tableau Module 01: Introduction to the Course Module 02: Project 1: Discount Mart (Sales and Profit Analytics) Module 03: Project 2: Green Destinations (HR Analytics) Module 04: Project 3: Superstore (Sales Agent Tracker) Module 05: Northwind Trade (Shipping Analytics) Module 06: Project 5: Tesla (Stock Price Analytics) Module 07: Bonus: Introduction to Database Concepts Module 08: Tableau Stories Course 08: Basic Google Data Studio Module 01: Introduction to GDS Module 02: Data Visualization Module 03: Geo-visualization Module 04: A Socio-Economic Case Study Course 09: Business Analytics Module 01: What is business analysis? Module 02: Strategy analysis Module 03: Collaboration Module 04: Requirements analysis and Design definition Module 05: Requirements lifecycle management Module 06: Solution quality Module 07: Stakeholder management Module 08: BA Governance Module 09: Legal notes and Copyright information Course 10: Complete Introduction to Business Data Analysis Level 3 Module 1: Statistics Fundamentals Module 2: Data Analysis Module 3: Probability Module 4: Random Variables and Discrete Distributions Module 5: Continuous Distributions Module 6: Sampling Distributions Module 7: Confidence Interval Module 8: Hypothesis Testing with One Sample Module 9: Hypothesis Testing with Two Samples Module 10: The Chi-Square Distribution Module 11: F Distribution and One-Way ANOVA Module 12: Correlation analysis Module 13: Simple Linear Regression Analysis Course 11: Business Intelligence and Data Mining Masterclass Module 01: What is Business Intelligence? Module 02: Starting Case in understanding BI needs in diff phase of business Module 03: Decision Making Process and Need of IT systems Module 04: Problem Structure and Decision Support System Module 05: Introduction to BI Applications Module 06: Dashboard presentation systems Module 07: Different Types of Charts used in 131 Dashboards Module 08: Good Dashboard and BSC Module 09: Examples of Bad Dashboards 1 Module 10: Examples of Bad Dashboards 2 And much more... Course 12: Research Methods in Business Section 01: Applied Project & Research Methods in Business Section 02: Writing a Purpose / Quantitative and Qualitative Research Approaches Section 03: Mixed Method Research Approaches, Ethical Considerations & Writing Effectively Written Methodology Part 3 !@@ Section 04: Writing Data Collection Tools, Qualitative & Quantitative Data Analysis Section 05: Comparing Findings to Literature and Writing the Final Paper Course 13: Computer Science: Graph Theory Algorithms Module 00: Promo Module 01: Introduction Module 02: Common Problem Module 03: Depth First Search Module 04: Breadth First Search Module 05: Breadth First Search Shortest Path on a Grid And much more... Course 14: Data Protection and Data Security Level 2 GDPR Basics GDPR Explained Lawful Basis for Preparation Rights and Breaches Responsibilities and Obligations CPD 165 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Anyone from any background can enrol in this Data Analysis and Data Science bundle. Requirements Our Data Analysis and Data Science course is fully compatible with PCs, Macs, laptops, tablets and Smartphone devices. Career path Having this Data Analysis and Data Science expertise will increase the value of your CV and open you up to multiple job sectors. Certificates Certificate of completion Digital certificate - Included You will get the PDF Certificate for the title course (Introduction to Data Analysis) absolutely Free! Certificate of completion Hard copy certificate - Included You will get the Hard Copy certificate for the title course (Introduction to Data Analysis) absolutely Free! Other Hard Copy certificates are available for £10 each. Please Note: The delivery charge inside the UK is £3.99, and the international students must pay a £9.99 shipping cost.
Criminal Psychology Diploma In recent news, the importance of criminal psychology in solving complex criminal cases has once again come to the forefront. The remarkable contributions of criminal profilers and forensic psychologists in helping law enforcement agencies understand the minds of criminals have led to breakthroughs in criminal investigations. This highlights the significance of delving into the intriguing world of criminal psychology. Take the first step towards unravelling the mysteries of criminal psychology. Enrol in our Criminal Psychology Diploma bundle today and embark on an enlightening educational journey that will equip you with the knowledge to unravel the enigmatic workings of criminal behaviour. Your role in shaping a safer future awaits. This Criminal Psychology Diploma Bundle Consists of the following Premium courses: Course 01: Criminal Intelligence and Crime Analysis Complete Diploma Course 02: Criminology and Forensic Profiling - Level 4 Course 03: Online Training on Forensic Science Course 04: Accident Investigation Course 05: Interrogations And Confessions Psychology Course 06: Criminal Law Course 07: Addiction and Mental Health - Dual Diagnosis Course 08: Emotional Intelligence and Human Behaviour Course 09: English Law and Legal System Level 3 Course 10: Forensic Accounting Course Course 11: Financial Investigator Learning Outcomes of Criminal Psychology: Understanding of criminal psychology, research methods in crime analysis and decision-making in criminal intelligence analysis Knowledge of criminal law and the criminal justice system in England and Wales Proficiency in intelligence-led policing, counterterrorism, and criminal intelligence analysis Skills in forensic science and accident investigation Awareness of ethical considerations in criminal psychology research Benefits you'll get choosing Apex Learning for Criminal Psychology: One payment, but lifetime access to 11 CPD courses of this Criminal Psychology Bundle Certificates, student ID for the title (Criminal Psychology) course are 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 Learn about Criminal Psychology at your ease - anytime, from anywhere Study the Criminal Psychology course from your computer, tablet or mobile device CPD accredited Criminal Psychology course - improve the chance of gaining professional skills So enrol now in this Criminal Psychology Diploma to advance your career! Criminal Psychology Diploma The Criminal Psychology Diploma bundle offers comprehensive training in criminal intelligence and analysis, criminology, forensic science, and criminal law. With courses covering topics such as addiction and mental health, dual diagnosis, emotional intelligence, and financial investigation, this bundle is an excellent choice for anyone interested in pursuing a career in criminal psychology. Criminal Intelligence and Crime Analysis Complete Diploma Curriculum Introduction to Intelligence Analysis Criminal Intelligence Analysis Criminal Intelligence Analyst - Skills and Competencies Understanding Criminal Psychology Research Methods in Crime Analysis Decision-Making in Criminal Intelligence Analysis Intelligence-Led Policing Counterterrorism and Criminal Intelligence Analysis Technology in Criminal Intelligence Analysis The Criminal Justice System in England and Wales CPD 110 CPD hours / points Accredited by CPD Quality Standards Who is this course for? This Criminal Psychology Diploma course is perfect for anyone looking to pursue a career in criminal psychology or criminology, including law enforcement professionals, forensic scientists, social workers, and mental health practitioners. Our Criminal Psychology Diploma is also suitable for anyone interested in gaining a deeper understanding of criminal behaviour and its impact on society. Requirements Criminal Psychology Diploma This Criminal Psychology Diploma course has been designed to be fully compatible with tablets and smartphones. Career path Criminal Psychology Diploma Criminal Psychologist Criminologist Forensic Psychologist Police Officer Certificates Certificate of completion Digital certificate - Included Certificate of completion Hard copy certificate - £10 You will get the Hard Copy certificate for the Criminal Intelligence and Crime Analysis Complete Diploma course absolutely Free! Other Hard Copy certificates are available for £10 each.
This practitioner-level 4 award encourages individuals in IT and technical roles to explore the many teams, ideas, and functions within an organisation and maximise their contribution. You will achieve this by learning the key concepts and considering behaviour and response in different scenarios.
Duration 5 Days 30 CPD hours This course is intended for This course is intended for novice database developers, database administrators, Business Intelligence developers, report creators, and application developers who have an understanding of relational database concepts and have basic Windows navigation skills. Overview Create single table SELECT queries Create multiple table SELECT queries Filter and sort data Insert, update, and delete data Query data using built-in functions Create queries that aggregate data Create subqueries Create queries that use table expressions Use UNION, INTERSECT, and EXCEPT on multiple sets of data Implement window functions in queries Use PIVOT and GROUPING SETS in queries Use stored procedures in queries Add error handling to queries Use transactions in queries This five-day instructor-led course is intended for IT professionals who wish to use the Transact-SQL language to query and configure Microsoft SQL Server. Students are typically database developers and database administrators, but might also be Business Intelligence developers, report creators, or application developers. In this course, students learn how to query single tables, join data from multiple tables, filter and sort data, modify data, use procedures and functions, and implement error handling. Prerequisites Basic understanding of relational databases. Basic Windows knowledge. Module 1: Introduction to Transact-SQL What is Transact-SQL The SELECT statement The WHERE clause Sorting results Calculations CASE expressions Module 2: Joining tables with Transact-SQL The JOIN clause Inner joins Outer joins Self joins and cross joins Module 3: Filtering and sorting results Implement the ORDER BY clause Filter data with the WHERE clause Limit the number of rows returned by a query Implement NULL logic Module 4: SQL Server data types Understand data types Implement string data types Implement temporal data types Module 5: Inserting, updating and deleting data Insert new records Update existing records Delete data Module 6: Using SQL Server functions with Transact-SQL Understand function types in SQL Server Convert data using functions Implement logical functions Work with NULL data using functions Module 7: Aggregating data with Transact-SQL Implement aggregation in SQL Server Group records in SQL Server Filter aggregated data Module 8: Implement subqueries with Transact-SQL Implement scalar and multi-valued sub-queries Implement correlated subqueries Implement existence checks with subqueries Module 9: Create queries that use table expressions Create views Create table-valued functions Implement derived tables Implement common table expressions Module 10: Use UNION, INTERSECT, EXCEPT and APPLY on multiple sets of data Write queries with the UNION operator Write queries with the INTERSECT and EXCEPT operators Write queries with the APPLY operator Module 11: Implement window functions in queries Understand window functions Impement window functions Module 12: Use PIVOT and grouping sets in queries Implement PIVOT in queries Implement grouping sets in queries Module 13: Use stored procedures in queries Query data with stored procedures Interact with stored procedures using input and output parameters Write simple stored procedures Pass dynamic SQL to SQL Server Module 14: Implement programming features in Transact-SQL Understand T-SQL programming elements Implement loops and conditions in T-SQL queries Module 15: Add error handling to queries Understand SQL Server error handling Implemet structured exception handling Module 16: Use transactions in queries Understand database transactions Implement transactions in T-SQL
Microsoft Project Blue Belt® 2016: In-House Training This course introduces Project Server 2016 features that expedite scheduling projects and simplify managing tasks within an enterprise environment. Learn different aspects of Project Server and their benefits to varying roles in the enterprise, and gain hands-on experience and insights on best practices from SMEs around the world. This course introduces Project Server 2016 features that expedite scheduling projects and simplify managing tasks within an enterprise environment. Learn different aspects of Project Server and their benefits to varying roles in the enterprise, and gain hands-on experience and insights on best practices from SMEs around the world. Users in Project online will get the same benefits of this program. What you Will Learn You'll learn how to: Describe the Enterprise Project Management (EPM) environment Apply the basic project management principles of, initiating, planning, executing, monitoring and controlling, and closing your project schedules Discuss new features Explain PWA views project sites Meet deadlines and budget restrictions Keep the workloads of your resources within their available limits Explain tracking methods and manage task assignments Update the schedule Differentiate between updating tasks and timesheets Use standard reports, custom views, and visual reports for your projects Recognize the potential of the Business Intelligence features Getting Started with Microsoft® Project Server 2016 Describing the EPM context Discovering Project Web App Differentiating the users of PWA Working with Project Professional and PWA Initiating Projects New projects with Project Professional, SharePoint lists, Enterprise Projects Importing schedules and managing project owner and permissions Customize the ribbon with enterprise commands Planning Projects - Scope and Schedule Management Scheduling in PWA Using the Deliverables feature Developing components of the risk management plan and issues tracking Linking planning documents Planning Projects - Staffing Management Plan Building a project team Managing resource availability Reviewing the assignment cycle Managing resource engagements Resolving resource overallocation Executing, Monitoring and Controlling Baselines Working with timesheets Reporting administrative time Tracking methods (% work, actual work, single entry mode) Assignment progress and updates in PWA Task progress and updates in Project Professional and PWA Monitor and Control Projects - Measuring Performance and Reporting Progress Reviewing performance metrics and progress reports Using the preloaded reports at the Business Intelligence Center Considerations for defining custom reports Closing Projects Reviewing the closing processes and closing tasks to updates Supporting the closing process
Microsoft Project Blue Belt® 2016: Virtual In-House Training This course introduces Project Server 2016 features that expedite scheduling projects and simplify managing tasks within an enterprise environment. Learn different aspects of Project Server and their benefits to varying roles in the enterprise, and gain hands-on experience and insights on best practices from SMEs around the world. This course introduces Project Server 2016 features that expedite scheduling projects and simplify managing tasks within an enterprise environment. Learn different aspects of Project Server and their benefits to varying roles in the enterprise, and gain hands-on experience and insights on best practices from SMEs around the world. Users in Project online will get the same benefits of this program. What you Will Learn You'll learn how to: Describe the Enterprise Project Management (EPM) environment Apply the basic project management principles of, initiating, planning, executing, monitoring and controlling, and closing your project schedules Discuss new features Explain PWA views project sites Meet deadlines and budget restrictions Keep the workloads of your resources within their available limits Explain tracking methods and manage task assignments Update the schedule Differentiate between updating tasks and timesheets Use standard reports, custom views, and visual reports for your projects Recognize the potential of the Business Intelligence features Getting Started with Microsoft® Project Server 2016 Describing the EPM context Discovering Project Web App Differentiating the users of PWA Working with Project Professional and PWA Initiating Projects New projects with Project Professional, SharePoint lists, Enterprise Projects Importing schedules and managing project owner and permissions Customize the ribbon with enterprise commands Planning Projects - Scope and Schedule Management Scheduling in PWA Using the Deliverables feature Developing components of the risk management plan and issues tracking Linking planning documents Planning Projects - Staffing Management Plan Building a project team Managing resource availability Reviewing the assignment cycle Managing resource engagements Resolving resource overallocation Executing, Monitoring and Controlling Baselines Working with timesheets Reporting administrative time Tracking methods (% work, actual work, single entry mode) Assignment progress and updates in PWA Task progress and updates in Project Professional and PWA Monitor and Control Projects - Measuring Performance and Reporting Progress Reviewing performance metrics and progress reports Using the preloaded reports at the Business Intelligence Center Considerations for defining custom reports Closing Projects Reviewing the closing processes and closing tasks to updates Supporting the closing process
Authentic relationships are built around empathy, trust and values. Developing healthy relationships as adults means building interpersonal skills and refining them around others’ needs as well as your own.