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Duration 5 Days 30 CPD hours This course is intended for Network designers Network administrators Network engineers Systems engineers Data center engineers Consulting systems engineers Technical solutions architects Field engineers Cisco integrators and partners Server administrator Network manager Overview After taking this course, you should be able to: Implement routing and switching protocols in Data Center environment Implement overlay networks in data center Introduce high-level Cisco Application Centric Infrastructure (Cisco ACI™) concepts and Cisco Virtual Machine manager (VMM) domain integration Describe Cisco Cloud Service and deployment models Implement Fibre Channel fabric Implement Fibre Channel over Ethernet (FCoE) unified fabric Implement security features in data center Implement software management and infrastructure monitoring Implement Cisco UCS Fabric Interconnect and Server abstraction Implement SAN connectivity for Cisco Unified Computing System™ (Cisco UCS) Describe Cisco HyperFlex™ infrastructure concepts and benefits Implement Cisco automation and scripting tools in data center Evaluate automation and orchestration technologies The Implementing and Operating Cisco Data Center Core Technologies (DCCOR) v1.2 course helps you prepare for the Cisco CCNP Data Center and CCIE Data Center certifications for advanced-level data center roles. In this course, you will master the skills and technologies you need to implement data center compute, LAN and SAN infrastructure. You will also learn the essentials of automation and security in data centers. You will gain hands-on experience deploying, securing, operating, and maintaining Cisco data center infrastructure including: Cisco MDS Switches and Cisco Nexus Switches; Cisco Unified Computing System (Cisco UCS) B-Series Blade Servers, and Cisco UCS C-Series Rack Servers. This course also earns you 64 Continuing Education (CE) credits towards recertification. This course, including the self-paced material prepares you to take the exam: 350-601 Implementing Cisco Data Center Core Technologies (DCCOR) This course will help you: Gain experience implementing, securing and automating network, compute, and storage infrastructure Gain knowledge and skills through Cisco?s unique combination of lessons and hands-on practice using enterprise-grade Cisco learning technologies, data center equipment, and software Qualify for professional and expert-level job roles in the high-demand area of enterprise-class data center environments Earn 64 CE credits toward recertification This course will help you prepare to take the 350-601 DCCOR exam. This exam tests your knowledge of implementing core data center technologies including network, compute, storage network, automation, and security. After you pass 350-601 DCCOR: You earn the Cisco Certified Specialist - Data Center Core certification and you satisfy the core requirement for these certifications: CCNP Data Center CCIE Data Center Implementing Data Center Switching Protocols* Spanning Tree Protocol Port Channels Overview Implementing First-Hop Redundancy Protocols* Hot Standby Router Protocol (HSRP) Overview Virtual Router Redundancy Protocol (VRRP) Overview Implementing Routing in Data Center* Open Shortest Path First (OSPF) v2 and Open Settlement Protocol (OSP) v3 Border Gateway Protocol Implementing Multicast in Data Center* IP Multicast in Data Center Networks Internet Group Management Protocol (IGMP) and Multicast Listener Discovery (MLD) Implementing Data Center Overlay Protocols Cisco Overlay Transport Virtualization Virtual Extensible LAN Implementing Network Infrastructure Security* User Accounts and Role Based Access Control (RBAC) Authentication, Authorization, and Accounting (AAA) and SSH on Cisco NX-OS Describing Cisco Application-Centric Infrastructure Cisco ACI Overview, Initialization, and Discovery Cisco ACI Management Describing Cisco ACI Building Blocks and VMM Domain Integration Tenant-Based Components Cisco ACI Endpoints and Endpoint Groups (EPG) Describing Packet Flow in Data Center Network* Data Center Traffic Flows Packet Flow in Cisco Nexus Switches Describing Cisco Cloud Service and Deployment Models Cloud Architectures Cloud Deployment Models Describing Data Center Network Infrastructure Management, Maintenance, and Operations* Time Synchronization Network Configuration Management Explaining Cisco Network Assurance Concepts* Need for Network Assurance Cisco Streaming Telemetry Overview Implementing Fibre Channel Fabric Fibre Channel Basics Virtual Storage Area Network (VSAN) Overview Implementing Storage Infrastructure Services Distributed Device Aliases Zoning Implementing FCoE Unified Fabric Fibre Channel over Ethernet Describing FCoE Implementing Storage Infrastructure Security* User Accounts and RBAC Authentication, Authorization, and Accounting Describing Data Center Storage Infrastructure Maintenance and Operations* Time Synchronization Software Installation and Upgrade Describing Cisco UCS Server Form Factors* Cisco UCS B-Series Blade Servers Cisco UCS C-Series Rack Servers Implementing Cisco Unified Computing Network Connectivity Cisco UCS Fabric Interconnect Cisco UCS B-Series Connectivity Implementing Cisco Unified Computing Server Abstraction Identity Abstraction Service Profile Templates Implementing Cisco Unified Computing SAN Connectivity iSCSI Overview Fibre Channel Overview Implementing Unified Computing Security User Accounts and RBAC Options for Authentication Introducing Cisco HyperFlex Systems* Hyper converged and Integrated Systems Overview Cisco HyperFlex Solution Describing Data Center Unified Computing Management, Maintenance, and Operations* Compute Configuration Management Software Updates Implementing Cisco Data Center Automation and Scripting Tools* Cisco NX-OS

Course Overview This Workplace Communication Management course provides a well-rounded understanding of how communication functions within professional environments, equipping learners with the ability to navigate various workplace dynamics with clarity and confidence. From understanding the importance of stakeholder communication to overcoming barriers and developing interpersonal skills, this course is designed to enhance effectiveness across all levels of an organisation. Learners will explore the role of cultural influences, language use, and internal communication structures that impact workplace productivity and cohesion. By the end of the course, individuals will be equipped to handle communication responsibilities more effectively, contribute to a healthier work culture, and support organisational goals through better message delivery and reception. Whether working independently or as part of a team, learners will find the content applicable across a range of industries and roles, providing long-term benefits in managing workplace interactions and aligning communication with broader business objectives. Course Description This comprehensive course delves into the theory and application of workplace communication, with a focus on developing clear, consistent, and context-appropriate messaging. Learners will begin by examining the importance of internal communication and its influence on stakeholders. The course addresses barriers such as misinterpretation, cultural misunderstandings, and language inefficiencies, offering strategies to overcome them. Modules also cover the impact of organisational culture on communication, the use of professional language, and maintaining effective interpersonal relationships. Designed for those who wish to strengthen their communication capabilities in a structured environment, the course encourages reflective learning and the application of communication principles across varied workplace scenarios. Emphasis is placed on building mutual understanding and aligning communication efforts with organisational aims. Upon completion, learners will be able to foster clearer communication lines, improve workplace engagement, and manage communication challenges with increased confidence and awareness. Course Modules: Module 01: Information and Communication for Stakeholders Module 02: Communication & Barriers Module 03: Culture and Communication in the Workplace Module 04: Language and Effective Communication Module 05: Business Communication & Interpersonal Relationships Module 06: Communication Improvement at Workplace (See full curriculum) Who is this course for? Individuals seeking to build strong workplace communication skills. Professionals aiming to improve organisational communication and team engagement. Beginners with an interest in corporate communication and business relations. HR personnel, managers, and team leaders looking to foster better communication culture. Career Path Communication Officer Team Leader or Supervisor Human Resources Assistant Office Administrator Business Development Coordinator Internal Communications Specialist Customer Relationship Manager

Course Overview The "Photo Manipulation: Graphic Design Training" course is designed to teach you the fundamental principles of photo editing and graphic design, providing a solid foundation for creating visually striking imagery. This course covers the use of advanced tools and techniques, enabling learners to manipulate images creatively while maintaining high professional standards. Through a structured curriculum, students will explore various photo manipulation techniques, including colour correction, compositing, retouching, and applying creative effects. By the end of the course, learners will have the skills to produce high-quality graphic design work, enhancing their portfolio and expanding their career opportunities in the design field. Course Description This course delves into the core aspects of photo manipulation, equipping learners with essential skills to transform ordinary images into extraordinary works of art. Topics covered include advanced image editing tools, layer manipulation, masking, retouching techniques, and the creation of digital composites. Learners will also explore colour theory, typography, and composition, ensuring their designs are both technically proficient and aesthetically appealing. The course is structured to provide an in-depth understanding of the creative processes behind graphic design, with a focus on image enhancement and artistic expression. By the end of the course, students will be able to create complex graphic designs and refine their skills to a professional standard. Course Modules Module 01: Introduction to Photo Manipulation Overview of photo manipulation tools and techniques Key principles of image editing Understanding the graphic design process Module 02: Mastering Image Editing Tools In-depth exploration of Adobe Photoshop Working with layers, filters, and blending modes Basic and advanced selection tools Module 03: Colour Correction and Retouching Techniques for enhancing image colour Skin retouching and detail refinement Managing lighting and contrast Module 04: Compositing and Creative Effects Combining multiple images to create seamless compositions Adding special effects and textures Working with typography in designs Module 05: Final Project and Portfolio Development Applying learned techniques in a creative project Building a professional portfolio Preparing designs for various media formats (See full curriculum) Who is this course for? Individuals seeking to enhance their graphic design skills. Professionals aiming to advance their design portfolios. Beginners with an interest in photo manipulation and digital art. Anyone looking to pursue a career in creative industries such as advertising, marketing, or media. Career Path Graphic Designer Digital Media Specialist Visual Content Creator Advertising Designer Marketing and Brand Designer

Course Overview This comprehensive course on "Complete After Effects for Graphic Design" is designed to equip learners with the skills necessary to use After Effects effectively in graphic design. Covering everything from creating visual effects and patterns to generating artwork from scratch, this course helps learners develop a deep understanding of After Effects tools and techniques. Learners will gain the confidence to create sophisticated animations and special effects that enhance their design projects. With practical lessons and a focus on industry-relevant skills, this course provides invaluable value to anyone looking to strengthen their graphic design capabilities using After Effects. Course Description In this course, learners will dive deep into the essential features of After Effects, including creating special effects, working with patterns and textures, and generating artwork from minimal input. The course takes a structured approach, starting with a solid introduction to After Effects, followed by advanced techniques for creating visually engaging content. By the end of the course, learners will be able to produce impressive animations and effects for use in graphic design projects. Throughout the course, learners will refine their understanding of animation principles and the software's advanced features, equipping them with the skills to implement creative ideas in a professional context. Course Modules Module 01: Introduction Introduction to After Effects interface Understanding key concepts in animation and motion design Navigating the timeline and workspace Module 02: Creating Special Effects Using effects and presets Creating cinematic effects for design Layering techniques and animation adjustments Module 03: Creating Patterns and Textures Working with textures and patterns Developing seamless loops and animated backgrounds Customising effects to suit design projects Module 04: Generating Artwork from (Almost) Nothing Techniques for generating artwork using basic shapes Exploring fractal animations and procedural design Using plugins to expand creative possibilities Module 05: Where to Go from Here Understanding next steps in advancing your After Effects skills Recommended resources for further learning Tips for building a professional portfolio (See full curriculum) Who is this course for? Individuals seeking to enhance their graphic design expertise. Professionals aiming to integrate animation and effects into their design projects. Beginners with an interest in digital design and animation. Designers wishing to improve their proficiency with After Effects. Career Path Graphic Designer Motion Graphics Designer Visual Effects Artist Animation Artist Digital Content Creator

Course Overview The Massage Therapy: Reflexology & Aromatherapy course is designed to provide a comprehensive foundation in holistic wellness practices that promote health and relaxation. Through an in-depth exploration of reflexology techniques, aromatherapy applications, and massage methodologies, learners will gain a solid understanding of how these therapies support physical and emotional well-being. This course introduces key principles of therapeutic touch, essential oil usage, and pressure point techniques, enabling students to build confidence in delivering targeted treatments for stress reduction, circulation improvement, and pain relief. Whether you're seeking to support clients' wellness journeys or broaden your expertise in natural therapies, this course offers accessible knowledge that complements a wide range of health-related disciplines. By the end, learners will have developed the competence to understand treatment principles, tailor approaches to client needs, and work ethically within wellness-focused settings. Course Description This course offers detailed guidance in the disciplines of massage therapy, reflexology, and aromatherapy. Learners will explore a variety of specialised areas such as deep tissue massage, lymphatic drainage, acupressure techniques, and Thai foot reflexology. The curriculum also covers the therapeutic use of essential oils and introduces the principles of physiotherapy to reinforce the understanding of bodily systems. Emphasis is placed on building theoretical knowledge, enhancing client interaction skills, and exploring the business aspects of a successful massage therapy practice. With a structured and accessible approach, the course prepares students to work confidently in wellness and health service environments, ensuring ethical practice, client care, and industry awareness. By engaging with a diverse set of modules, learners will be equipped with a versatile skillset applicable to various therapeutic and supportive roles across healthcare and wellbeing sectors. Course Modules: Module 01: Massage Therapist - A Successful Business Module 02: Deep Tissue Massage Therapy Module 03: Advanced Reflexology Module 04: Thai Foot Reflexology Module 05: Aromatherapy Acupressure - Pain Relief Module 06: Aromatherapy - Use of Essential Oils Module 07: Lymphatic Drainage Massage Therapy Module 08: Physiotherapy (See full curriculum) Who is this course for? Individuals seeking to enter the wellness and complementary health field. Professionals aiming to expand their expertise in massage or holistic therapies. Beginners with an interest in natural healing and stress management. Anyone considering a career change into the health and wellness industry. Career Path Massage Therapist Aromatherapy Practitioner Reflexologist Wellness Consultant Spa or Holistic Health Centre Assistant Health and Wellbeing Coach Physiotherapy Assistant Entrepreneur in Wellness Services

Course Overview This comprehensive Driving Instructor course is designed to equip aspiring instructors with the theoretical knowledge and confidence needed to guide learners through the process of becoming safe, responsible drivers. Covering key concepts such as structured driver education, understanding the ADI (Approved Driving Instructor) exam framework, and addressing diverse learner needs, this course offers a solid foundation for those looking to enter the instructional field. Learners will explore communication strategies, assessment techniques, and legal considerations surrounding driving education. By the end of the course, participants will have a clear understanding of the standards and responsibilities required to support individuals in achieving driving competency and gaining their licence. Whether you're seeking a career change or aiming to formalise existing knowledge, this course ensures you’re well-prepared for professional advancement in the driver education industry. Course Description This Driving Instructor course delves into the core principles of driver education, focusing on the responsibilities and expectations placed upon instructors. Learners will explore the structure of the UK’s ADI exam system, learn how to design effective lesson plans, and understand how to assess learners across different vehicle types and driving conditions. Special attention is given to communication methods, working with clients who have impairments or disabilities, and building a learner-centred approach to instruction. The curriculum also examines legal and ethical standards relevant to the profession, offering insights into delivering consistent, compliant instruction. By understanding how to adapt sessions to various learning styles and needs, learners will develop the capability to support diverse clients in their journey towards independent driving. The course is ideal for those looking to enter the industry with confidence and clarity, supported by structured knowledge aligned with UK standards. Course Modules: Module 01: The Driving Instructor Module 02: Structured Driver Training Module 03: The ADI Exams Module 04: Communication Skills and Dealing with a New Client Module 05: Learning to Drive Module 06: Driving Large Vehicles Module 07: Assessment Items Module 08: Disabilities and Impairments (See full curriculum) Who is this course for? Individuals seeking to become certified driving instructors in the UK. Professionals aiming to transition into the driver training industry. Beginners with an interest in road safety and driver education. Career changers and retired drivers looking for flexible employment options. Career Path Approved Driving Instructor (ADI) Fleet Driver Trainer Driving School Franchise Owner Corporate Driver Education Specialist Road Safety Consultant

Time for you to talk, explore and work through challenges you are facing... I help individuals find / reconnect with their passion & purpose, so they get up & do what they love! Giving people direction, self-confidence and belief to do the thing they want to do... Through 1:1 coaching, I create a space that supports people to explore and find solutions; giving clarity, confidence and energy to move forwards. ​If you feel stuck in your life or career, frustrated or unsure of how to move forwards, don't know what you want to do next... that's ok - we can work through your challenges at your pace over a series of coaching sessions that works for your time and budget.

Ensuring an efficient flow of goods and services between manufacturers and their skilled trade customer base.

Duration 3 Days 18 CPD hours This course is intended for This course is geared for anyone needing to interface with an Oracle database such as end users, business analysts, application developers and database administrators / DBAs. Overview Working within in a hands-on learning environment, guided by our expert team, attendees will develop a practical approach to Oracle Database Technology. Throughout the course participants will explore: Using PL/SQL programming language for database applications and development incorporating PL/SQL modules within the application architecture from the initial design and planning phase The essentials of building executable PL/SQL program units Each of the major segments of a working program and how these interact with each other during program execution Important error or exception handling capabilities of the language. How database-resident program units can be used as part of the overall database application architecture Applying these new skills to the development of PL/SQL packages. Advanced database programming capabilities and benefits How database triggers can be used as part of an advanced database application design Oracle 19c PL/SQL Fundamentals is a three-day, hands-on course that introduces Oracle database programming using the PL/SQL programming language. Throughout the course students will explore the core syntax, structure and features of the language. This course will also lay the foundation for the entire Oracle PL/SQL programming series, allowing one to progress from introductory topics to advanced application design and programming and finally onto writing complex high-performance applications. The course also explores applying the newly learned skills to the development of database applications. Participants will learn how to use database-resident stored program units such as procedures, functions, packages and database triggers. Students will also learn about the latest features in Oracle 19c. Selection & Setup of the Database Interface Considering Available Tools Selecting the Appropriate Tool Oracle Net Database Connections Oracle PAAS Database Connections Setup SQL Developer Setup SQL *Plus Setup JDeveloper About BIND and Substitution Variables Using SQL Developer Using SQL *Plus Choosing a Database Programming Language What is Database Programming PL/SQL Programming PL/SQL Performance Advantages Integration with Other Languages PL/SQL Language Essentials PL/SQL Program Structure Language Syntax Rules Embedding SQL Writing Readable Code Generating Readable Code Generating Database Output SQL * Plus Input of Program Block DECLARE Section About the Declare Section Declare Primitive Types Declaration Options Not Null Constant Data Dictionary Integration % Type Declare Simple User-Defined Types Type ? Table Type ? Record Extended User Defined Types BEGIN Section About the Begin Section Manipulating Program Data Logic Control & Braching GOTO LOOP IF-THEN-ELSE CASE EXCEPTION Section About the Exception Section Isolating the Specific Exception Pragma Exception_INIT SQLCODE &SQLERRM Example SQL%ROWCOUNT & Select ? Into Beyond the Basics : Explicit Cursors About Explicit Cursors Extend Cursor Techniques For Update of Clause Where Current of Clause Using for ? Loop Cursors Introduction Database Resident Programming Units About Database ? Resident Programs Physical Storage & Execution Types of Stored Program Units Stored Program Unit Advantages Modular Design Principles Creating Stored Procedures and Functions Stored Procedures & Functions Create Procedure / Create Function Creating Procedures & Functions Raise_Salary() Procedure Salary_Valid() function The Parameter Specification Default Clause System & Object Privileges Using the Development Tools Executing Stored Procedures and Functions Calling Procedures & Functions Unit Testing with Execute Anonymous Block Unit Testing Specifying a Parameter Notation SQL Worksheet Unit Testing Calling Functions from SQL Maintaining Stored Programming Units Recompiling Programs Mass Recompilation Using UTL_RECOMP() Dropping Procedures & Functions Drop Procedures & Functions Drop Procedure / Function Data Dictionary Metadata Using USER_OBJECTS Using USER_SOURCE Using USER_ERRORS Using USER_OBJECT_SIZE Using USER_DEPENDENCIES Managing Dependencies Dependency Internals Tracking Dependencies The Dependency Tracking Utility SQL Developer Dependency Info Dependency Strategy Checklists Creating & Maintaining About Packages Creating Packages Maintaining Packages Performance Considerations Advanced Package Capabilities Definer & Invoker Rights White Lists & Accessible By Persistent Global Objects Defining Initilization Logic Object Orientation Support Advanced Cursor Techniques Using Cursor Variables Using SYS_REFCURSOR Using Cursor Expressions Using System Supplied Packages DBMS_OUTPUT() UTL_FILE() FOPEN() Example Database Trigger Concepts About Database Triggers DML Event Trigger Sub-Types Database Trigger Scenario Trigger Exhaustion Mechanisms Trigger within SQL Worksheet Creating Database Triggers Statement Level Triggers Using Raise Application_Error() Row-Level Triggers Examples of Triggers Employee_Salary_Check Example Employee_Journal Example Budget_Event Example Instead of Triggers Triggers within and Application Maintaining Database Triggers Call Syntax Trigger Maintenance Tasks Show Errors Trigger Drop Trigger Alter Trigger Multiple Triggers for a Table Handling Mutating Table Issues Implementing System Event Triggers What are System Event Triggers Defining the Scope Available System Events System Event Attributes

Duration 2 Days 12 CPD hours This course is intended for Audience: Data Scientists, Software Developers, IT Architects, and Technical Managers. Participants should have the general knowledge of statistics and programming Also familiar with Python Overview ? NumPy, pandas, Matplotlib, scikit-learn ? Python REPLs ? Jupyter Notebooks ? Data analytics life-cycle phases ? Data repairing and normalizing ? Data aggregation and grouping ? Data visualization ? Data science algorithms for supervised and unsupervised machine learning Covers theoretical and technical aspects of using Python in Applied Data Science projects and Data Logistics use cases. Python for Data Science ? Using Modules ? Listing Methods in a Module ? Creating Your Own Modules ? List Comprehension ? Dictionary Comprehension ? String Comprehension ? Python 2 vs Python 3 ? Sets (Python 3+) ? Python Idioms ? Python Data Science ?Ecosystem? ? NumPy ? NumPy Arrays ? NumPy Idioms ? pandas ? Data Wrangling with pandas' DataFrame ? SciPy ? Scikit-learn ? SciPy or scikit-learn? ? Matplotlib ? Python vs R ? Python on Apache Spark ? Python Dev Tools and REPLs ? Anaconda ? IPython ? Visual Studio Code ? Jupyter ? Jupyter Basic Commands ? Summary Applied Data Science ? What is Data Science? ? Data Science Ecosystem ? Data Mining vs. Data Science ? Business Analytics vs. Data Science ? Data Science, Machine Learning, AI? ? Who is a Data Scientist? ? Data Science Skill Sets Venn Diagram ? Data Scientists at Work ? Examples of Data Science Projects ? An Example of a Data Product ? Applied Data Science at Google ? Data Science Gotchas ? Summary Data Analytics Life-cycle Phases ? Big Data Analytics Pipeline ? Data Discovery Phase ? Data Harvesting Phase ? Data Priming Phase ? Data Logistics and Data Governance ? Exploratory Data Analysis ? Model Planning Phase ? Model Building Phase ? Communicating the Results ? Production Roll-out ? Summary Repairing and Normalizing Data ? Repairing and Normalizing Data ? Dealing with the Missing Data ? Sample Data Set ? Getting Info on Null Data ? Dropping a Column ? Interpolating Missing Data in pandas ? Replacing the Missing Values with the Mean Value ? Scaling (Normalizing) the Data ? Data Preprocessing with scikit-learn ? Scaling with the scale() Function ? The MinMaxScaler Object ? Summary Descriptive Statistics Computing Features in Python ? Descriptive Statistics ? Non-uniformity of a Probability Distribution ? Using NumPy for Calculating Descriptive Statistics Measures ? Finding Min and Max in NumPy ? Using pandas for Calculating Descriptive Statistics Measures ? Correlation ? Regression and Correlation ? Covariance ? Getting Pairwise Correlation and Covariance Measures ? Finding Min and Max in pandas DataFrame ? Summary Data Aggregation and Grouping ? Data Aggregation and Grouping ? Sample Data Set ? The pandas.core.groupby.SeriesGroupBy Object ? Grouping by Two or More Columns ? Emulating the SQL's WHERE Clause ? The Pivot Tables ? Cross-Tabulation ? Summary Data Visualization with matplotlib ? Data Visualization ? What is matplotlib? ? Getting Started with matplotlib ? The Plotting Window ? The Figure Options ? The matplotlib.pyplot.plot() Function ? The matplotlib.pyplot.bar() Function ? The matplotlib.pyplot.pie () Function ? Subplots ? Using the matplotlib.gridspec.GridSpec Object ? The matplotlib.pyplot.subplot() Function ? Hands-on Exercise ? Figures ? Saving Figures to File ? Visualization with pandas ? Working with matplotlib in Jupyter Notebooks ? Summary Data Science and ML Algorithms in scikit-learn ? Data Science, Machine Learning, AI? ? Types of Machine Learning ? Terminology: Features and Observations ? Continuous and Categorical Features (Variables) ? Terminology: Axis ? The scikit-learn Package ? scikit-learn Estimators ? Models, Estimators, and Predictors ? Common Distance Metrics ? The Euclidean Metric ? The LIBSVM format ? Scaling of the Features ? The Curse of Dimensionality ? Supervised vs Unsupervised Machine Learning ? Supervised Machine Learning Algorithms ? Unsupervised Machine Learning Algorithms ? Choose the Right Algorithm ? Life-cycles of Machine Learning Development ? Data Split for Training and Test Data Sets ? Data Splitting in scikit-learn ? Hands-on Exercise ? Classification Examples ? Classifying with k-Nearest Neighbors (SL) ? k-Nearest Neighbors Algorithm ? k-Nearest Neighbors Algorithm ? The Error Rate ? Hands-on Exercise ? Dimensionality Reduction ? The Advantages of Dimensionality Reduction ? Principal component analysis (PCA) ? Hands-on Exercise ? Data Blending ? Decision Trees (SL) ? Decision Tree Terminology ? Decision Tree Classification in Context of Information Theory ? Information Entropy Defined ? The Shannon Entropy Formula ? The Simplified Decision Tree Algorithm ? Using Decision Trees ? Random Forests ? SVM ? Naive Bayes Classifier (SL) ? Naive Bayesian Probabilistic Model in a Nutshell ? Bayes Formula ? Classification of Documents with Naive Bayes ? Unsupervised Learning Type: Clustering ? Clustering Examples ? k-Means Clustering (UL) ? k-Means Clustering in a Nutshell ? k-Means Characteristics ? Regression Analysis ? Simple Linear Regression Model ? Linear vs Non-Linear Regression ? Linear Regression Illustration ? Major Underlying Assumptions for Regression Analysis ? Least-Squares Method (LSM) ? Locally Weighted Linear Regression ? Regression Models in Excel ? Multiple Regression Analysis ? Logistic Regression ? Regression vs Classification ? Time-Series Analysis ? Decomposing Time-Series ? Summary Lab Exercises Lab 1 - Learning the Lab Environment Lab 2 - Using Jupyter Notebook Lab 3 - Repairing and Normalizing Data Lab 4 - Computing Descriptive Statistics Lab 5 - Data Grouping and Aggregation Lab 6 - Data Visualization with matplotlib Lab 7 - Data Splitting Lab 8 - k-Nearest Neighbors Algorithm Lab 9 - The k-means Algorithm Lab 10 - The Random Forest Algorithm