524 Intelligence courses delivered Live Online

Confidence Training Emotional Intelligence Training Dating Coach Support Daily Social skills examination Dating history analysis Red flag Training and Dating Coach Self-assessment and analysis Insecurities and pinpoint dating issues and problems 4 weeks of coaching Overview of dating skills Dating advice for singles https://relationshipsmdd.com/product/i-let-my-partners-treat-me-badly-package/

Relationship coaching for your relationship skills can be done individually or as a couple Emotional intelligence training Learn how to be a strong couple Love Language training Learn how to improve rapport and empathy Emotional validation and emotional civility training Consideration and patience training Conflict Resolution and self management Free check in calls in between sessions Choose one of our office locations to have your sessions 1 hour per week 3 sessions https://relationshipsmdd.com/product/relationship-coach-london-package/

Rebuild confidence Boundaries training Assessment of dating history Support and dating advice Perspective analysis Future dating approach Warning signs/emotional intelligence training Support/healing process Positivity training and objectivity in dating tactics training Social cues and conclusion to a more positive dating future 5 sessions 45 mins each https://relationshipsmdd.com/financial-arguments/

Anger management Dating coaching Assessment of dating patterns Emotional intelligence training Support and advice Ascertain root cause Assess history Self-improvement training Assess your needs in a partner Teach better dating skills. 1 hour per week 5 weeks Dating advice for singles https://relationshipsmdd.com/product/i-find-it-hard-to-control-my-anger-package/

Preparing for Digital Transformation Organizations today must keep pace with changing technology to stay abreast of the market demand. Keeping pace means a transformation of the entire organization into the digital age. This workshop presents the challenges, benefits, and pitfalls of digital transformation and how it will affect you, and how you can be better prepared and positioned for the upcoming digital transformation. The goal of this course is to enable you to become knowledgeable about the technologies behind a digital transformation in your organization and the driving forces compelling such a transformation. You will learn how to become engaged in the processes of transforming your organization digitally to meet with the growing demands of customers and clients What you will Learn Describe the impact that digital is making on the economy and on customer expectations Examine the nature and drivers of the digital transformation Evaluate new technologies such as Blockchain, Big Data, Artificial Intelligence, and other technologies and see how they work to bring about digital transformation Assess the impact of digital technologies on the current roles and positions in the organization Discuss both the demand that customers have for digital technologies and the impact the digital technologies have on the customer and its relationship with the organization Recognize the new technology trends in the digital transformation and what they mean to the future of the organization Identify how digital transformation will affect all roles and how to be prepared for the upcoming and continuing digital transformation Foundation Concepts Digital transformation versus automation Driving forces behind the digital transformation Learning from digital transformation successes Digital Transformation and Customer Orientation The Digital Customer Customer touch points and the customer journey Omnichannel concept Transform to the customer Digital Technologies and the Organization Relationship Management Big Data: The Basis for it All The Human Factor in Digital Transformations Risks of Digital Transformation Technology Trends Data and Business Analytics Other Major Trends Preview of Coming Attractions Pathway to Digital Transformation

Duration 3 Days 18 CPD hours This course is intended for This course is designed for software developers, testers, and architects who design and develop software in various programming languages and platforms, including desktop, web, cloud, and mobile, and who want to improve their ability to deliver software that is of high quality, particularly regarding security and privacy. This course is also designed for students who are seeking the CertNexus Cyber Secure Coder (CSC) Exam CSC-210 certification Overview In this course, you will employ best practices in software development to develop secure software.You will: Identify the need for security in your software projects. Eliminate vulnerabilities within software. Use a Security by Design approach to design a secure architecture for your software. Implement common protections to protect users and data. Apply various testing methods to find and correct security defects in your software. Maintain deployed software to ensure ongoing security... The stakes for software security are very high, and yet many development teams deal with software security only after the code has been developed and the software is being prepared for delivery. As with any aspect of software quality, to ensure successful implementation, security and privacy issues should be managed throughout the entire software development lifecycle. This course presents an approach for dealing with security and privacy throughout the entire software development lifecycle. You will learn about vulnerabilities that undermine security, and how to identify and remediate them in your own projects. You will learn general strategies for dealing with security defects and misconfiguration, how to design software to deal with the human element in security, and how to incorporate security into all phases of development. Identifying the Need for Security in Your Software Projects Identify Security Requirements and Expectations Identify Factors That Undermine Software Security Find Vulnerabilities in Your Software Gather Intelligence on Vulnerabilities and Exploits Handling Vulnerabilities Handle Vulnerabilities Due to Software Defects and Misconfiguration Handle Vulnerabilities Due to Human Factors Handle Vulnerabilities Due to Process Shortcomings Designing for Security Apply General Principles for Secure Design Design Software to Counter Specific Threats Developing Secure Code Follow Best Practices for Secure Coding Prevent Platform Vulnerabilities Prevent Privacy Vulnerabilities Implementing Common Protections Limit Access Using Login and User Roles Protect Data in Transit and At Rest Implement Error Handling and Logging Protect Sensitive Data and Functions Protect Database Access Testing Software Security Perform Security Testing Analyze Code to find Security Problems Use Automated Testing Tools to Find Security Problems Maintaining Security in Deployed Software Monitor and Log Applications to Support Security Maintain Security after Deployment

Resolving a disagreement Assessment of the situation Trust and communication building Emotional intelligence training Dating coach advice methods Implementation strategies of relationship building Happiness satisfaction relationship training Professional mediation to avoid breakup Listening to both parties Addressing relationship growth arenas in each session 4 sessions 1 hour x 4 https://relationshipsmdd.com/product/couples-mediation-package/

Dating is a skill and a skill that is learned through failure and experience. Whether you are married,in a relationship or single improving your relationship skills is vital towards having success in love. In this course, you will be taught the following: Emotional intelligence Self-awareness and Social awareness You will be taught empathy, emotional validation, consideration and civility These three relationship skills go hand in hand. Together they form a foundation of caring, trust, and connection to which couples can more easily return when they find themselves in times of stress, tension, or emotional distance. Living together, considering marriage, conflicts, family issues, betrayal, patience, respect, relationship growth, single parents, creating open communication and finances these will all be covered in this course. How to become a better partner is vital in today’s society the healthiest relationships are built on respect, trust and communication to learn these facets and to understand what skills you need to sustain a long-lasting relationship are imperative. This course will teach everything you need to know with the support of a qualified coach guiding and educating you. Learn how to become a better partner today. Three 1 hour and a half sessions weekly https://relationshipsmdd.com/product/how-to-be-a-better-partner-package/

Trust building Pain point assessment Relationship history analysation Communication strengthening Ascertain main problem areas Closure on reoccurring arguments Intervention and mediation Emotional intelligence training Love language assessment Resolving fights Private assessments with each individual 3 couples therapy sessions https://relationshipsmdd.com/product/couples-trust-building-and-communication-therapy-package/

Duration 4 Days 24 CPD hours This course is intended for This course is designed for data analysts, business intelligence specialists, developers, system architects, and database administrators. Overview Skills gained in this training include:The features that Pig, Hive, and Impala offer for data acquisition, storage, and analysisThe fundamentals of Apache Hadoop and data ETL (extract, transform, load), ingestion, and processing with HadoopHow Pig, Hive, and Impala improve productivity for typical analysis tasksJoining diverse datasets to gain valuable business insightPerforming real-time, complex queries on datasets Cloudera University?s four-day data analyst training course focusing on Apache Pig and Hive and Cloudera Impala will teach you to apply traditional data analytics and business intelligence skills to big data. Hadoop Fundamentals The Motivation for Hadoop Hadoop Overview Data Storage: HDFS Distributed Data Processing: YARN, MapReduce, and Spark Data Processing and Analysis: Pig, Hive, and Impala Data Integration: Sqoop Other Hadoop Data Tools Exercise Scenarios Explanation Introduction to Pig What Is Pig? Pig?s Features Pig Use Cases Interacting with Pig Basic Data Analysis with Pig Pig Latin Syntax Loading Data Simple Data Types Field Definitions Data Output Viewing the Schema Filtering and Sorting Data Commonly-Used Functions Processing Complex Data with Pig Storage Formats Complex/Nested Data Types Grouping Built-In Functions for Complex Data Iterating Grouped Data Multi-Dataset Operations with Pig Techniques for Combining Data Sets Joining Data Sets in Pig Set Operations Splitting Data Sets Pig Troubleshoot & Optimization Troubleshooting Pig Logging Using Hadoop?s Web UI Data Sampling and Debugging Performance Overview Understanding the Execution Plan Tips for Improving the Performance of Your Pig Jobs Introduction to Hive & Impala What Is Hive? What Is Impala? Schema and Data Storage Comparing Hive to Traditional Databases Hive Use Cases Querying with Hive & Impala Databases and Tables Basic Hive and Impala Query Language Syntax Data Types Differences Between Hive and Impala Query Syntax Using Hue to Execute Queries Using the Impala Shell Data Management Data Storage Creating Databases and Tables Loading Data Altering Databases and Tables Simplifying Queries with Views Storing Query Results Data Storage & Performance Partitioning Tables Choosing a File Format Managing Metadata Controlling Access to Data Relational Data Analysis with Hive & Impala Joining Datasets Common Built-In Functions Aggregation and Windowing Working with Impala How Impala Executes Queries Extending Impala with User-Defined Functions Improving Impala Performance Analyzing Text and Complex Data with Hive Complex Values in Hive Using Regular Expressions in Hive Sentiment Analysis and N-Grams Conclusion Hive Optimization Understanding Query Performance Controlling Job Execution Plan Bucketing Indexing Data Extending Hive SerDes Data Transformation with Custom Scripts User-Defined Functions Parameterized Queries Choosing the Best Tool for the Job Comparing MapReduce, Pig, Hive, Impala, and Relational Databases Which to Choose?