807 Modeling courses

Duration 3 Days 18 CPD hours This course is intended for This course is geared for Python-experienced attendees who wish to be equipped with the skills you need to use pandas to ensure the veracity of your data, visualize it for effective decision-making, and reliably reproduce analyses across multiple datasets. Overview Working in a hands-on learning environment, guided by our expert team, attendees will learn to: Understand how data analysts and scientists gather and analyze data Perform data analysis and data wrangling using Python Combine, group, and aggregate data from multiple sources Create data visualizations with pandas, matplotlib, and seaborn Apply machine learning (ML) algorithms to identify patterns and make predictions Use Python data science libraries to analyze real-world datasets Use pandas to solve common data representation and analysis problems Build Python scripts, modules, and packages for reusable analysis code Perform efficient data analysis and manipulation tasks using pandas Apply pandas to different real-world domains with the help of step-by-step demonstrations Get accustomed to using pandas as an effective data exploration tool. Data analysis has become a necessary skill in a variety of domains where knowing how to work with data and extract insights can generate significant value. Geared for data team members with incoming Python scripting experience, Hands-On Data Analysis with Pandas will show you how to analyze your data, get started with machine learning, and work effectively with Python libraries often used for data science, such as pandas, NumPy, matplotlib, seaborn, and scikit-learn. Using real-world datasets, you will learn how to use the powerful pandas library to perform data wrangling to reshape, clean, and aggregate your data. Then, you will be able to conduct exploratory data analysis by calculating summary statistics and visualizing the data to find patterns. In the concluding lessons, you will explore some applications of anomaly detection, regression, clustering, and classification using scikit-learn to make predictions based on past data. Students will leave the course armed with the skills required to use pandas to ensure the veracity of their data, visualize it for effective decision-making, and reliably reproduce analyses across multiple datasets. Introduction to Data Analysis Fundamentals of data analysis Statistical foundations Setting up a virtual environment Working with Pandas DataFrames Pandas data structures Bringing data into a pandas DataFrame Inspecting a DataFrame object Grabbing subsets of the data Adding and removing data Data Wrangling with Pandas What is data wrangling? Collecting temperature data Cleaning up the data Restructuring the data Handling duplicate, missing, or invalid data Aggregating Pandas DataFrames Database-style operations on DataFrames DataFrame operations Aggregations with pandas and numpy Time series Visualizing Data with Pandas and Matplotlib An introduction to matplotlib Plotting with pandas The pandas.plotting subpackage Plotting with Seaborn and Customization Techniques Utilizing seaborn for advanced plotting Formatting Customizing visualizations Financial Analysis - Bitcoin and the Stock Market Building a Python package Data extraction with pandas Exploratory data analysis Technical analysis of financial instruments Modeling performance Rule-Based Anomaly Detection Simulating login attempts Exploratory data analysis Rule-based anomaly detection Getting Started with Machine Learning in Python Learning the lingo Exploratory data analysis Preprocessing data Clustering Regression Classification Making Better Predictions - Optimizing Models Hyperparameter tuning with grid search Feature engineering Ensemble methods Inspecting classification prediction confidence Addressing class imbalance Regularization Machine Learning Anomaly Detection Exploring the data Unsupervised methods Supervised methods Online learning The Road Ahead Data resources Practicing working with data Python practice

Duration 2 Days 12 CPD hours This course is intended for Sales engineers Account managers Networking engineers Technical and non-technical audiences Overview After taking this course, you should be able to: Understand the role that programmable infrastructure is having on the transition to the digital enterprise Describe Cisco DNA, its components and benefits, and explain a few use cases Describe the different technologies and solutions within the Cisco programmable infrastructure portfolio Describe Cisco DNA Center REST APIs Understand the functionality provided by Cisco WebEx Teams Describe Cisco CMX, services, and related APIs Describe the importance of DevOps culture within network operations in the shift to becoming a digital enterprise The Programming Use Cases for Cisco Digital Network Architecture (DNAPUC) v1.0 course highlights the shift toward the digital enterprise and examines the components, benefits, and use cases of Cisco Digital Network Architecture (Cisco DNA?) in an enterprise environment. You will learning about key platforms including Cisco© DNA Center, Cisco WebEx Teams?, Cisco Connected Mobile Experiences (CMX), and their related APIs. This course also covers open standards, tools, and network APIs that you can use to complement the Cisco DNA software portfolio, including Python, JavaScript Object Notation (JSON), Network Configuration Protocol (NETCONF), Representational State Transfer Configuration Protocol (RESTCONF), and Yet Another Next Generation (YANG). Understanding Programmable Infrastructure Digital Enterprise Four Pillars of Digitization Network Programmability and Automation What Should Be Automated? Quantifying Programmability and Automation for the Business Network Programmability and Automation Use Cases Introducing Cisco DNA Cisco DNA Overview Cisco DNA Components Benefits of Cisco DNA Cisco DNA Use Cases Describing Programmable Infrastructure Cisco Programmability Options Data Center Infrastructure Enterprise Network Programmability Streaming Telemetry Collaboration Management, Monitoring, and Analytics Describing Network APIs How APIs Enable Business Automation API Overview Data Encoding with JSON and XML RESTful APIs RESTCONF and NETCONF Overview Data Modeling with YANG Describing Cisco DNA Center APIs Cisco DNA Center Overview Cisco DNA Center Automation Enterprise Benefits Cisco DNA Center Applications and Use Cases Cisco DNA Center REST API Overview Case Study: Network Automation at Symantec Describing Cisco Collaboration APIs Cisco Webex Teams Overview Cisco Webex Teams Business Benefits Cisco Webex Teams API Overview Describing Cisco Mobility APIs Cisco CMX Overview Cisco CMX Programmability Business Benefits Cisco CMX Mobility Services API Overview Case Study: Victoria University and Cisco CMX Implementing DevOps Culture Within Network Operations Transition to DevOps CALMS Model (Culture, Automation, Lean, Measurement, Sharing) Role of Cisco Technology in the Transition to DevOps Additional course details: Nexus Humans Cisco Programming Use Cases for Cisco Digital Network Architecture v1.0 (DNAPUC) training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the Cisco Programming Use Cases for Cisco Digital Network Architecture v1.0 (DNAPUC) course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

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OVERVIEW DIAD is a one-day, hands-on workshop for business analysts, covering the breadth of Power BI capabilities. The course focuses on five practical Labs and at the end of the day, attendees will better understand how to: Connect and transform data from a variety of data sources. Define business rules and KPIs. Explore data with powerful interactive visuals. Build stunning reports. Share their dashboards with their team business partners and publish them to the web. The course content is managed by the Power BI engineering team at Microsoft. There is no exam associated with the course. COURSE BENEFITS: Learn how to clean, transform, and load data from various sources Create and manage a data model in Power BI consisting of multiple tables connected with relationships Build Measures and other calculations in the DAX language to plot in reports Manage and share report assets to the Power BI Service WHO IS THE COURSE FOR? Data Analysts and Management Consultants with little or no experience of Power BI who wish to upgrade their knowledge to include Business Intelligence Analysts looking for a quick introduction to Power BI who don’t have the time for the full three day PL-300 course Marketers in data-intensive organisations who need new tools to build visually appealing, dynamic charts for their stakeholders to use LAB OUTLINE Lab 1 Accessing & Preparing The Data Load data from Excel and CSV sources Manipulate the data to prepare it for reporting Prepare tables in Power Query and load them into the data model Lab 2 Data Modelling And Exploration Create a range of different charts Highlight and cross-filter Create new groups and hierarchies Add new measures to the model Lab 3 Data Visualization Add conditional formatting to a report Add logos to a filter Import a custom visual Apply a custom theme Add bookmarks to the report to tell a story Lab 4 Publishing A Report And Creating A Dashboard Create a Workspace in the Power BI Service Publish a report to the Service Create a Dashboard and pin visuals to it Generate and view insights Lab 5 Collaboration Share a Dashboard Access a Dashboard on a Mobile Device

OVERVIEW Prerequisites—DIAD training or equivalent working experience This one-day course will cover using Power BI Desktop to import and shape data from a variety of sources. It will also walk through Power BI capabilities you can use to enhance the data model for your business users. The course covers key aspects of how to create a great data model to meet your business needs, various features in Power BI used to enhance data models so you can build great reports, and an introduction to DAX to create calculations. After completing this training, the attendees should be able to import data from a variety of data sources into Power BI, shape the data, create the data model, and write DAX functions to the Power BI model. COURSE BENEFITS: Understand the Power BI Desktop data model, its components and most effective schemas Describe concepts of calculated columns and measures Create queries using M Create calculations with DAX Understand the use of functions Create and optimize a data model Understand the consequences of data model design decisions WHO IS THE COURSE FOR? Power BI report developers who wish to improve the structure of their data models Power BI report developers who wish to use advanced features like parameters and M coding in Power Query Power BI practitioners who wish to optimise their models more effectively Attendees wishing to prepare thoroughly for the DAX In A Day course COURSE OUTLINE Module 1 Getting And Shaping The Data Understand what is meant by data model in the context of Power BI Understand the consequences of data model design decisions Understand consequences of Power BI’s data type handling Understand data connection options Module 2 Basic Data Modelling Understand basic data modelling Understand basic data model types Explore dimension tables and fact tables Explore data connections Module 3 Getting Started With M (Power Query Language) Get introduced to M Understand key components and syntax Module 4 Understanding Logic Operators Understand Transformations Understand Join operation Module 5 Introduction To DAX Get introduced to DAX and how can it be used Understand working with parameters and DAX (lab combining the previous module) Module 6 Working With Functions - DAX CALCULATE And More Understand working with functions Understand the basics of the CALCULATE formula Module 7 Modelling With Power BI & DAX Best Practice Gain familiarity with basic data modelling for business scenarios Learn some best practices for working with Power BI

This one day course has been developed to teach essential real estate financial modelling theory, functions and formulas to individuals working in the real estate sector.

he role of a CFO extends beyond day-to-day financial management and plays a pivotal role in preparing a business for an exit. The role of a CFO extends beyond day-to-day financial management and plays a pivotal role in preparing a business for an exit, whether it be through a merger, acquisition, or other strategic transaction. Here are some key points to consider: Financial Due Diligence: CFOs play a crucial role in conducting financial due diligence to assess the company’s financial health and identify any potential risks or issues. This involves reviewing financial statements, accounting practices, contracts, and other financial data to ensure accuracy and transparency. Valuation and Financial Modeling: CFOs work closely with the executive team, external advisors, and investment bankers to determine the company’s valuation. They develop financial models, assess growth projections, and analyze market comparables to arrive at a fair and realistic valuation range. Financial Documentation and Reporting: CFOs ensure that financial documentation and reporting are in order, accurate, and compliant with regulatory requirements. This includes preparing financial statements, management reports, and other financial disclosures necessary for the exit process. Negotiation and Deal Structuring: CFOs collaborate with legal and executive teams to negotiate the terms of the exit transaction. They provide financial insights and expertise to structure the deal in a way that maximizes value for the company and its stakeholders. Tax Planning and Optimisation: CFOs work closely with tax advisors to develop tax-efficient strategies for the exit transaction. They assess potential tax implications, explore tax-saving opportunities, and ensure compliance with applicable tax laws and regulations. Financial Communication and Investor Relations: CFOs play a critical role in communicating the financial aspects of the exit to internal and external stakeholders. They work with investor relations teams to ensure that key messages are effectively conveyed, providing transparency and clarity throughout the exit process. https://www.fdcapital.co.uk/podcast/the-vital-role-of-cfos-in-business-exit-preparation/ Tags Online Events Things To Do Online Online Seminars Online Business Seminars #business #cfo #preparation #exit #vital

Duration 5 Days 30 CPD hours This course is intended for This course is designed for experienced integration specialists and senior-level developers with experience in application development, messaging middleware applications, and transport protocols such as HTTP and FTP. Overview Describe the features and uses of IBM App Connect Enterprise Develop, deploy, and test message flow applications Generate message flow applications from predefined patterns Use the IBM App Connect Enterprise Toolkit problem determination aids to diagnose and solve development and runtime errors Describe the function and appropriate use of IBM App Connect Enterprise processing nodes Write basic Extended Structured Query Language and Java programs to transform data Use the IBM Graphical Data Mapping editor to transform data Define, use, and test simple XML and Data Format Description Language (DFDL) data models Describe supported transport protocols and how to call them in message flows IBM App Connect Enterprise provides connectivity and universal data transformation in heterogeneous IT environments. It enables businesses of any size to eliminate point-to-point connections and batch processing, regardless of operating system, protocol, and data format. This course teaches you how to use IBM App Connect Enterprise to develop, deploy, and support message flow applications. These applications use various messaging topologies to transport messages between service requesters and service providers, and allow the messages to be routed, transformed, and enriched during processing. In this course, you learn how to construct applications to transport and transform data. The course explores how to control the flow of data by using various processing nodes, and how to use databases and maps to transform and enrich data during processing. You also learn how to construct data models by using the Data Format Description Language (DFDL) Course Outline Introduction to IBM App Connect Enterprise Application development fundamentals Exercise: Importing and testing a message flow Creating message flow applications Exercise: Creating a message flow application Connecting to IBM MQ Exercise: Connecting to IBM MQ Controlling the flow of messages Exercise: Adding flow control to a message flow application Modeling the data Exercise: Creating a DFDL model Processing file data Exercise: Processing file data Using problem determination tools and help resources Exercise: Using problem determination tools Exercise: Implementing explicit error handling Mapping messages with the Graphical Data Mapping editor Referencing a database in a message flow application Exercise: Referencing a database in a map Using Compute nodes to transform messages Exercise: Transforming data by using the Compute and JavaCompute nodes Processing JMS, HTTP, and web service messages Preparing for production Exercise: Creating a runtime-aware message flow Additional course details: Nexus Humans WM668G IBM App Connect Enterprise V11 Application Development training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the WM668G IBM App Connect Enterprise V11 Application Development course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

Highlights of the Course Course Type: Online Learning Duration: 47 Minutes Tutor Support: Tutor support is included Customer Support: 24/7 customer support is available Quality Training: The course is designed by an industry expert Recognised Credential: Recognised and Valuable Certification Completion Certificate: Free Course Completion Certificate Included Instalment: 3 Installment Plan on checkout What you will learn from this course? Gain comprehensive knowledge about brow lift/lamination Understand the core competencies and principles of brow lift/lamination Explore the various areas of brow lift/lamination Know how to apply the skills you acquired from this course in a real-life context Become a confident and expert makeup artist Eyebrow Hair Training Course Online Master the skills you need to propel your career forward in brow lift / lamination. This course will equip you with the essential knowledge and skillset that will make you a confident makeup artist and take your career to the next level. This comprehensive eyebrow hair training course online is designed to help you surpass your professional goals. The skills and knowledge that you will gain through studying this eyebrow hair training course online will help you get one step closer to your professional aspirations and develop your skills for a rewarding career. This comprehensive course will teach you the theory of effective brow lift / lamination practice and equip you with the essential skills, confidence and competence to assist you in the brow lift / lamination industry. You'll gain a solid understanding of the core competencies required to drive a successful career in brow lift / lamination. This course is designed by industry experts, so you'll gain knowledge and skills based on the latest expertise and best practices. 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The IPHM is an Accreditation Board that provides Training Providers with international and global accreditation. The Practitioners of Holistic Medicine (IPHM) accreditation is a guarantee of quality and skill. Benefits of IPHM It will help you establish a positive reputation in your chosen field You can join a network and community of successful therapists that are dedicated to providing excellent care to their client You can flaunt this accreditation in your CV It is a worldwide recognised accreditation What is Quality Licence Scheme? This course is endorsed by the Quality Licence Scheme for its high-quality, non-regulated provision and training programmes. The Quality Licence Scheme is a brand of the Skills and Education Group, a leading national awarding organisation for providing high-quality vocational qualifications across a wide range of industries. 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The Revit MEP course (£525), offers you individual learning (One to One) to improve your skills in Revit, and this course extends to 15 hours.