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You will be introduced to the content of our online course Doing Qualitative Research, including the complete open data set of the Qualitative Research Journeys project

Duration 5 Days 30 CPD hours This course is intended for This intermediate and beyond level course is geared for experienced technical professionals in various roles, such as developers, data analysts, data engineers, software engineers, and machine learning engineers who want to leverage Scala and Spark to tackle complex data challenges and develop scalable, high-performance applications across diverse domains. Practical programming experience is required to participate in the hands-on labs. Overview Working in a hands-on learning environment led by our expert instructor you'll: Develop a basic understanding of Scala and Apache Spark fundamentals, enabling you to confidently create scalable and high-performance applications. Learn how to process large datasets efficiently, helping you handle complex data challenges and make data-driven decisions. Gain hands-on experience with real-time data streaming, allowing you to manage and analyze data as it flows into your applications. Acquire practical knowledge of machine learning algorithms using Spark MLlib, empowering you to create intelligent applications and uncover hidden insights. Master graph processing with GraphX, enabling you to analyze and visualize complex relationships in your data. Discover generative AI technologies using GPT with Spark and Scala, opening up new possibilities for automating content generation and enhancing data analysis. Embark on a journey to master the world of big data with our immersive course on Scala and Spark! Mastering Scala with Apache Spark for the Modern Data Enterprise is a five day hands on course designed to provide you with the essential skills and tools to tackle complex data projects using Scala programming language and Apache Spark, a high-performance data processing engine. Mastering these technologies will enable you to perform a wide range of tasks, from data wrangling and analytics to machine learning and artificial intelligence, across various industries and applications.Guided by our expert instructor, you?ll explore the fundamentals of Scala programming and Apache Spark while gaining valuable hands-on experience with Spark programming, RDDs, DataFrames, Spark SQL, and data sources. You?ll also explore Spark Streaming, performance optimization techniques, and the integration of popular external libraries, tools, and cloud platforms like AWS, Azure, and GCP. Machine learning enthusiasts will delve into Spark MLlib, covering basics of machine learning algorithms, data preparation, feature extraction, and various techniques such as regression, classification, clustering, and recommendation systems. Introduction to Scala Brief history and motivation Differences between Scala and Java Basic Scala syntax and constructs Scala's functional programming features Introduction to Apache Spark Overview and history Spark components and architecture Spark ecosystem Comparing Spark with other big data frameworks Basics of Spark Programming SparkContext and SparkSession Resilient Distributed Datasets (RDDs) Transformations and Actions Working with DataFrames Spark SQL and Data Sources Spark SQL library and its advantages Structured and semi-structured data sources Reading and writing data in various formats (CSV, JSON, Parquet, Avro, etc.) Data manipulation using SQL queries Basic RDD Operations Creating and manipulating RDDs Common transformations and actions on RDDs Working with key-value data Basic DataFrame and Dataset Operations Creating and manipulating DataFrames and Datasets Column operations and functions Filtering, sorting, and aggregating data Introduction to Spark Streaming Overview of Spark Streaming Discretized Stream (DStream) operations Windowed operations and stateful processing Performance Optimization Basics Best practices for efficient Spark code Broadcast variables and accumulators Monitoring Spark applications Integrating External Libraries and Tools, Spark Streaming Using popular external libraries, such as Hadoop and HBase Integrating with cloud platforms: AWS, Azure, GCP Connecting to data storage systems: HDFS, S3, Cassandra, etc. Introduction to Machine Learning Basics Overview of machine learning Supervised and unsupervised learning Common algorithms and use cases Introduction to Spark MLlib Overview of Spark MLlib MLlib's algorithms and utilities Data preparation and feature extraction Linear Regression and Classification Linear regression algorithm Logistic regression for classification Model evaluation and performance metrics Clustering Algorithms Overview of clustering algorithms K-means clustering Model evaluation and performance metrics Collaborative Filtering and Recommendation Systems Overview of recommendation systems Collaborative filtering techniques Implementing recommendations with Spark MLlib Introduction to Graph Processing Overview of graph processing Use cases and applications of graph processing Graph representations and operations Introduction to Spark GraphX Overview of GraphX Creating and transforming graphs Graph algorithms in GraphX Big Data Innovation! Using GPT and Generative AI Technologies with Spark and Scala Overview of generative AI technologies Integrating GPT with Spark and Scala Practical applications and use cases Bonus Topics / Time Permitting Introduction to Spark NLP Overview of Spark NLP Preprocessing text data Text classification and sentiment analysis Putting It All Together Work on a capstone project that integrates multiple aspects of the course, including data processing, machine learning, graph processing, and generative AI technologies.

Duration 5 Days 30 CPD hours This course is intended for The primary audience for this course are Business Process Owners/Team Leads/Power Users, Industry Specialists, and Program/Project Managers. Overview Explain Maintenance and Repair business processesExecute maintenance tasksDefine relevant organizational elements used in Plant Maintenance In this course, students learn how to describe the maintenance and repair business processes within SAP ERP. This foundation knowledge is mandatory in order for students to have the confidence to complete the subsequent configuration courses. Plant Maintenance Organization Outlining EAM Processes and SAP Solution Portfolio Outlining the SAP User Interfaces and Roles Executing Maintenance Tasks with NetWeaver Business Client (NWBC) Checking Organizational Levels in Plant Maintenance Technical Objects Checking Functional Locations Managing Equipment Checking Linear Asset Management (LAM) Assigning Bills of Material (BOMs) to Technical Objects Breakdown Maintenance Planning Breakdown Maintenance Processing a Breakdown Maintenance Order Corrective Maintenance Outlining Corrective Maintenance Processing External Services Creating Notifications of Maintenance Requirements Creating Maintenance Orders Planning of Maintenance Orders Planning of Maintenance Orders for Operation Account Assignment (OAA) Selecting Maintenance Orders Planning for Maintenance Orders Scheduling Maintenance Executing Maintenance Tasks with SAP GUI Completing Notifications and Orders Confirm and Technically Complete an Order Creating a Shift Report Refurbishment of Spare Parts Checking Prerequisites in Materials Management (MM) Refurbishing Spare Parts Internally Refurbishing Spare Parts Externally Preventive Maintenance Outlining Preventive Maintenance Checking the Maintenance Task List Creating Maintenance Plans Scheduling Maintenance Plans Project-Oriented Maintenance Outlining Project-Oriented Maintenance Supplementary Processes for SAP Enterprise Asset Management Outlining Mobile Applications for SAP Enterprise Asset Management (SAP EAM) Using Visual Enterprise Documents Describing Basic Maintenance Processing Outlining Pool Asset Management (PAM) Outlining SAP Work Clearance Management (WCM) Applying Worker Safety Report and Analysis of Information for SAP Enterprise Asset Management (EAM) Analyzing Maintenance History with the Logistic Information System (LIS) Evaluating Plant Maintenance with SAP Business Warehouse (SAP BW) Outlining Rapid Deployment Solution EAM Analytics SAP Enterprise Asset Management Customizing Implementation Outlining SAP Enterprise Asset Management Customizing Implementation

Why choose Vectorworks Evening Training Course? Course Link. This course led by certified expert, this course offers flexibility for evening learning. Choose in-person or live online sessions to master Vectorworks in architecture, interior design, and landscaping. Enroll now even after business hours! Duration: 10 hrs. Method: 1-on-1, Personalized attention. Schedule: Tailor your own schedule by pre-booking a convenient hour of your choice, available from Mon to Sat between 9 am and 7 pm. The Vectorworks course provides comprehensive training in computer-aided design (CAD) and Building Information Modeling (BIM) using the powerful Vectorworks software. This hands-on, instructor-led course covers 2D drafting, technical drawing, and 3D modeling, enabling participants to apply Vectorworks effectively in real-world projects. Key Features: Hands-on, instructor-led classroom training. Practical Vectorworks CAD projects for real-world application. Part-time evening or weekend options available. 1-2-1 Private learning experience. Module 1: Grasping CAD and Vectorworks Understanding the Role of CAD in Design Getting Acquainted with Vectorworks Software Module 2: Configuring Your Workspace Customizing Your Workspace Essential Options and Preferences Module 3: Mastering Foundational Drawing Skills Techniques for Drawing Object Selection Methods Module 4: Advanced Object Manipulation Merging Shapes Reflecting Objects Rotating Objects Grouping Elements Module 5: Precision Drawing and Scaling Techniques Working with Scale Setting Preferences for Accuracy Creating and Saving Templates Module 6: Achieving Accurate Object Placement Ensuring Drawing Precision Precise Object Movement Module 7: Advanced Editing Methods Utilizing Fillet Tool Applying Offset Function Module 8: Understanding Object Attributes and Groups Basic Attribute Management Editing Object Groups Module 9: Object Duplication Techniques Linear Duplicates Rectangular Duplicates Circular Duplicates Module 10: Crafting Room Plans Designing Walls Incorporating Windows and Doors Module 11: Development of Room Plans Methods for Room Plan Drawing Module 12: Exploring Additional Attributes Hatch Patterns Gradients Image Fills Module 13: Creating Elevation Drawings Elevation Drawing Techniques Effective Approaches Module 14: Importing Images for Graphic Use Graphic Illustration Integrating Images Module 15: Symbols and Resource Handling Symbol Creation Introduction to Resource Browser Module 16: Organizing Drawings Using Design Layers Optimizing Design Layer Utilization Module 17: Labeling Drawings and Title Blocks Drawing Labels Title Block Text Placement Module 18: Plotting and Printing Methods User Interface Navigation and Terminology Printing Approaches Module 19: Generating Drawing Sheets A1, A2, and A3 Sheet Formats Module 20: Utilizing Viewports Effectively Managing Multiple Views Module 21: Professional Model Presentation Techniques Paper Space Presentation Conversion to PDF Formats Module 22: File and Project Management Module 23: Object Display and Terminology Module 24: Objects and Data Management Module 25: Precise Object Placement Object Snapping Quick Selection Module 26: Dividing and Measuring Objects Module 27: Dimensioning and Annotations Module 28: Working with Text Elements Module 29: Customizing Tool Palettes Module 30: Organizing Tool Palettes Module 31: Efficient Tool Palette Usage Module 32: Standard Views and Drawing Techniques Module 33: Drawing Curved Shapes Arcs, Donuts, and Ellipses Drawing Module 34: Real-World Units and Measurements Module 35: Object Manipulation Adjusting Object Angles Module 36: File Handling and Management Saving, Exiting, and Opening Projects Module 37: Creating Mirrored Images Module 38: Introduction to 3D Modeling By the end of the Vectorworks Evening Training Course, participants will: Demonstrate proficiency in using the Vectorworks interface, tools, and navigation. Create and edit 2D drawings, including walls, doors, windows, floors, ceilings, stairs, and railings. Effectively manage layers, classes, and views for organized and controlled object placement. Create and edit dimensions and annotations for accurate measurements and documentation. Develop skills in creating, modifying, and utilizing symbols for increased efficiency. Generate and edit 3D geometry, apply textures, and create sections and elevations from 3D models. Create polished presentation drawings using viewports, annotations, and text for clarity. Summarize course content and confidently apply learned skills in Vectorworks projects. Utilize available resources for further learning and professional development.

Duration 3 Days 18 CPD hours This course is intended for This course is designed for existing Python programmers who have at least one year of Python experience and who want to expand their programming proficiency in Python 3. Overview In this course, you will expand your Python proficiencies. You will: Select an object-oriented programming approach for Python applications. Create object-oriented Python applications. Create a desktop application. Create data-driven applications. Create and secure web service-connected applications. Program Python for data science. Implement unit testing and exception handling. Package an application for distribution. Python© continues to be a popular programming language, perhaps owing to its easy learning curve, small code footprint, and versatility for business, web, and scientific uses. Python is useful for developing custom software tools, applications, web services, and cloud applications. In this course, you'll build upon your basic Python skills, learning more advanced topics such as object-oriented programming patterns, development of graphical user interfaces, data management, creating web service-connected apps, performing data science tasks, unit testing, and creating and installing packages and executable applications. Lesson 1: Selecting an Object-Oriented Programming Approach for Python Applications Topic A: Implement Object-Oriented Design Topic B: Leverage the Benefits of Object-Oriented Programming Lesson 2: Creating Object-Oriented Python Applications Topic A: Create a Class Topic B: Use Built-in Methods Topic C: Implement the Factory Design Pattern Lesson 3: Creating a Desktop Application Topic A: Design a Graphical User Interface (GUI) Topic B: Create Interactive Applications Lesson 4: Creating Data-Driven Applications Topic A: Connect to Data Topic B: Store, Update, and Delete Data in a Database Lesson 5: Creating and Securing a Web Service-Connected App Topic A: Select a Network Application Protocol Topic B: Create a RESTful Web Service Topic C: Create a Web Service Client Topic D: Secure Connected Applications Lesson 6: Programming Python for Data Science Topic A: Clean Data with Python Topic B: Visualize Data with Python Topic C: Perform Linear Regression with Machine Learning Lesson 7: Implementing Unit Testing and Exception Handling Topic A: Handle Exceptions Topic B: Write a Unit Test Topic C: Execute a Unit Test Lesson 8: Packaging an Application for Distribution Topic A: Create and Install a Package Topic B: Generate Alternative Distribution Files

Duration 3 Days 18 CPD hours This course is intended for This course is designed for existing Python programmers who have at least one year of Python experience and who want to expand their programming proficiency in Python 3. Overview In this course, you will expand your Python proficiencies. You will: Select an object-oriented programming approach for Python applications. Create object-oriented Python applications. Create a desktop application. Create data-driven applications. Create and secure web service-connected applications. Program Python for data science. Implement unit testing and exception handling. Package an application for distribution. Python continues to be a popular programming language, perhaps owing to its easy learning curve, small code footprint, and versatility for business, web, and scientific uses. Python is useful for developing custom software tools, applications, web services, and cloud applications. In this course, you'll build upon your basic Python skills, learning more advanced topics such as object-oriented programming patterns, development of graphical user interfaces, data management, creating web service-connected apps, performing data science tasks, unit testing, and creating and installing packages and executable applications. Lesson 1: Selecting an Object-Oriented Programming Approach for Python Applications Topic A: Implement Object-Oriented Design Topic B: Leverage the Benefits of Object-Oriented Programming Lesson 2: Creating Object-Oriented Python Applications Topic A: Create a Class Topic B: Use Built-in Methods Topic C: Implement the Factory Design Pattern Lesson 3: Creating a Desktop Application Topic A: Design a Graphical User Interface (GUI) Topic B: Create Interactive Applications Lesson 4: Creating Data-Driven Applications Topic A: Connect to Data Topic B: Store, Update, and Delete Data in a Database Lesson 5: Creating and Securing a Web Service-Connected App Topic A: Select a Network Application Protocol Topic B: Create a RESTful Web Service Topic C: Create a Web Service Client Topic D: Secure Connected Applications Lesson 6: Programming Python for Data Science Topic A: Clean Data with Python Topic B: Visualize Data with Python Topic C: Perform Linear Regression with Machine Learning Lesson 7: Implementing Unit Testing and Exception Handling Topic A: Handle Exceptions Topic B: Write a Unit Test Topic C: Execute a Unit Test Lesson 8: Packaging an Application for Distribution Topic A: Create and Install a Package Topic B: Generate Alternative Distribution Files

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Why Learn Vectorworks Basics to Essentials Training Course? Our Vectorworks training is meticulously crafted to educate and inspire designers of all levels. Whether you're a beginner or an experienced designer, our courses will equip you with new skills, refine your workflows, and teach Plans, sections and elevations. Course Link Duration: 10 hrs. Method: 1-on-1, Personalized attention. Schedule: Tailor your own schedule by pre-booking hours of your choice, available from Mon to Sat between 9 am and 7 pm. Vectorworks Basics to Essentials Training Course Discover and Enhance Your Design Skills Our Vectorworks training is meticulously crafted to educate and inspire designers of all levels. Whether you're a beginner or an experienced designer, our courses will equip you with new skills, refine your workflows, and unlock the full potential of your Vectorworks software. Online Training Options Customized Online Sessions: Tailored training sessions for your specific needs and expertise level. Virtual Classroom: Join interactive virtual classes from the comfort of your office. Getting Started Guides: Comprehensive guides to help you navigate the fundamentals of Vectorworks. In-Person Training Opportunities Customized On-Site Sessions: Hands-on training delivered directly to your office or regional event. One to One: Engage in interactive learning at our training locations. Get Vectorworks https://www.vectorworks.net › downloads › ServicePack Vectorworks, Inc. 2D 3D CAD BIM software for Mac or Windows allows designers to transform the world. Project sharing makes it easy. Download or try today. Module 1: Grasping CAD and Vectorworks Understanding the Role of CAD in Design Getting Acquainted with Vectorworks Software Module 2: Configuring Your Workspace Customizing Your Workspace Essential Options and Preferences Module 3: Mastering Foundational Drawing Skills Techniques for Drawing Object Selection Methods Module 4: Advanced Object Manipulation Merging Shapes Reflecting Objects Rotating Objects Grouping Elements Module 5: Precision Drawing and Scaling Techniques Working with Scale Setting Preferences for Accuracy Creating and Saving Templates Module 6: Achieving Accurate Object Placement Ensuring Drawing Precision Precise Object Movement Module 7: Advanced Editing Methods Utilizing Fillet Tool Applying Offset Function Module 8: Understanding Object Attributes and Groups Basic Attribute Management Editing Object Groups Module 9: Object Duplication Techniques Linear Duplicates Rectangular Duplicates Circular Duplicates Module 10: Crafting Room Plans Designing Walls Incorporating Windows and Doors Module 11: Development of Room Plans Methods for Room Plan Drawing Module 12: Exploring Additional Attributes Hatch Patterns Gradients Image Fills Module 13: Creating Elevation Drawings Elevation Drawing Techniques Effective Approaches Module 14: Importing Images for Graphic Use Graphic Illustration Integrating Images Module 15: Symbols and Resource Handling Symbol Creation Introduction to Resource Browser Module 16: Organizing Drawings Using Design Layers Optimizing Design Layer Utilization Module 17: Labeling Drawings and Title Blocks Drawing Labels Title Block Text Placement Module 18: Plotting and Printing Methods User Interface Navigation and Terminology Printing Approaches Module 19: Generating Drawing Sheets A1, A2, and A3 Sheet Formats Module 20: Utilizing Viewports Effectively Managing Multiple Views Module 21: Professional Model Presentation Techniques Paper Space Presentation Conversion to PDF Formats Module 22: File and Project Management Module 23: Object Display and Terminology Module 24: Objects and Data Management Module 25: Precise Object Placement Object Snapping Quick Selection Module 26: Dividing and Measuring Objects Module 27: Dimensioning and Annotations Module 28: Working with Text Elements Module 29: Customizing Tool Palettes Module 30: Organizing Tool Palettes Module 31: Efficient Tool Palette Usage Module 32: Standard Views and Drawing Techniques Module 33: Drawing Curved Shapes Arcs, Donuts, and Ellipses Drawing Module 34: Real-World Units and Measurements Module 35: Object Manipulation Adjusting Object Angles Module 36: File Handling and Management Saving, Exiting, and Opening Projects Module 37: Creating Mirrored Images Module 38: Introduction to 3D Modeling Creating Extrusions Basic 3D Concepts Understanding For a free 30-day trial of Vectorworks, request an evaluation serial number at the provided link. https://www.vectorworks.net/trial Learning Outcomes of the Vectorworks Basics to Essentials Training Course: Proficiency in Vectorworks software, mastering its basic and essential features. Enhanced design skills and efficient workflows for architectural, landscape, and entertainment projects. Customized training based on individual needs and expertise levels. Flexibility with online and on-site options for convenient learning. Access to Vectorworks University with a wealth of resources for continuous learning. Interactive virtual classrooms and immersive hands-on training for practical experience.

Duration 2 Days 12 CPD hours This course is intended for IBM SPSS Statistics users who want to familiarize themselves with the statistical capabilities of IBM SPSS StatisticsBase. Anyone who wants to refresh their knowledge and statistical experience. Overview Introduction to statistical analysis Describing individual variables Testing hypotheses Testing hypotheses on individual variables Testing on the relationship between categorical variables Testing on the difference between two group means Testing on differences between more than two group means Testing on the relationship between scale variables Predicting a scale variable: Regression Introduction to Bayesian statistics Overview of multivariate procedures This course provides an application-oriented introduction to the statistical component of IBM SPSS Statistics. Students will review several statistical techniques and discuss situations in which they would use each technique, how to set up the analysis, and how to interpret the results. This includes a broad range of techniques for exploring and summarizing data, as well as investigating and testing relationships. Students will gain an understanding of when and why to use these various techniques and how to apply them with confidence, interpret their output, and graphically display the results. Introduction to statistical analysis Identify the steps in the research process Identify measurement levels Describing individual variables Chart individual variables Summarize individual variables Identify the normal distributionIdentify standardized scores Testing hypotheses Principles of statistical testing One-sided versus two-sided testingType I, type II errors and power Testing hypotheses on individual variables Identify population parameters and sample statistics Examine the distribution of the sample mean Test a hypothesis on the population mean Construct confidence intervals Tests on a single variable Testing on the relationship between categorical variables Chart the relationship Describe the relationship Test the hypothesis of independence Assumptions Identify differences between the groups Measure the strength of the association Testing on the difference between two group meansChart the relationship Describe the relationship Test the hypothesis of two equal group means Assumptions Testing on differences between more than two group means Chart the relationship Describe the relationship Test the hypothesis of all group means being equal Assumptions Identify differences between the group means Testing on the relationship between scale variables Chart the relationship Describe the relationship Test the hypothesis of independence Assumptions Treatment of missing values Predicting a scale variable: Regression Explain linear regression Identify unstandardized and standardized coefficients Assess the fit Examine residuals Include 0-1 independent variables Include categorical independent variables Introduction to Bayesian statistics Bayesian statistics and classical test theory The Bayesian approach Evaluate a null hypothesis Overview of Bayesian procedures in IBM SPSS Statistics Overview of multivariate procedures Overview of supervised models Overview of models to create natural groupings