2008 Analytics courses

In this 1 hour e-learning course which uses a Finance dataset (the same I use on the Financial Reporting with Power BI course), I cover how to leverage tools such as Power BI/ Fabric Copilot, and Generative AI tools more broadly, to automate the full end-to-end analytics workflow This workflow covers everything from requirements gathering to building a medallion lakehouse architecture in Microsoft Fabric, to setting up your data to work with Power BI Copilot and building a vector search index on your income statement results for automatic financial commentary generation. These technologies are revolutionizing business processes and analytical reasoning in areas such as finance. While Generative AI is often used for creative tasks like summarizing documents or generating content, its real potential lies in finance in automating data-heavy processes. Tasks like data cleaning, preparation, and modeling—often time-consuming and tedious—are critical for transforming raw data from financial and operational systems into actionable insights. In this course you’ll learn how to shape data, create calculations, and add context, enabling Generative AI to reason over it and deliver automated insights. By combining these tools effectively, you’ll drive meaningful business change through technology.

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

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Duration 2 Days 12 CPD hours This course is intended for This course is intended for system and network administrators or operators responsible for the installation, setup, configuration, and administration of the BIG-IQ system or management of BIG-IP devices and F5 products running on those devices. This course uses lectures and hands-on exercises to give participants real-time experience in configuring and using the BIG-IQ© product. Students are introduced to BIG-IQ, its interface, and its various functionality. We first look at administering and operating the BIG-IQ system itself, then detail how it is used to remotely manage BIG-IP devices running BIG-IP Local Traffic Manager (LTM). We then look configuring a BIG-IQ Data Collection Device (DCD) system and see how it is used for the remote storage and examination of BIG-IP log events and statistics. Module 1: BIG-IQ Overview BIG-IQ Centralized Management BIG-IQ Components BIG-IQ Core Functionality REST API BIG-IQ Data Collection Device (DCD) BIG-IP Cloud Edition (CE) Setting up the BIG-IQ System Module 2: Administering the BIG-IQ System Controlling Access to the BIG-IQ Creating, Authenticating, Configuring Users Backups Local Host Settings Configuring DNS, NTP, and SMTP Monitoring BIG-IQ, DCD, and BIG-IP Events with Alerts Monitoring BIG-IQ with iHealth Post Installation Issues; Licensing, Changing Management IP, Master Key, Restoring Backups Module 3: Managing BIG-IP LTM Devices BIG-IP LTM Device Discovery BIG-IP Device Backup Deploying to BIG-IP Devices Deployment and Deployment Logs Configuration Snapshots Managing BIG-IP Certificates Managing BIG-IP Licenses Monitoring BIG-IP Devices with iHealth Management of QKView Reports from Managed BIG-IP Devices Module 4: Setting Up the BIG-IQ Data Collection Device Custom Roles Types and Groups Setting up User Accounts with custom roles and privileges Managing BIG-IP DSC Discovery and management of BIG-IP Device Clusters (DSC) with BIG-IQ Administering BIG-IQ High Availability Configuration and management of BIG-IQ systems in a High Availability pair

Description: This Microsoft Excel 2016 PowerPivot takes a look at the free PowerPivot add-in for Microsoft Excel 2016. It is a program for all users of PowerPivot to get a good grasp of how its features are set and how it works. It covers interface features, techniques for manipulating PowerPivot data. You will learn how to create PowerPivot reports, the structure of DAX functions, and ways to distribute PowerPivot data. So, if you are interested to develop your skills and knowledge, you shouldn't be late to join this course. Learning Outcomes: Explore PowerPivot applications Importing data from different sources Creating linked tables Organizing and formatting tables Creating calculated columns PowerPivot data filtering and sorting Creating PivotTables and PivotCharts, and filtering data using slicers Presenting Visual data through visual outlets Utilizing DAX functions for manipulating PowerPivot data Extracting data from tables using functions, and working with time dependent data Saving data in different formats and protecting reports Assessment: At the end of the course, you will be required to sit for an online MCQ test. Your test will be assessed automatically and immediately. You will instantly know whether you have been successful or not. Before sitting for your final exam you will have the opportunity to test your proficiency with a mock exam. Certification: After completing and passing the course successfully, you will be able to obtain an Accredited Certificate of Achievement. Certificates can be obtained either in hard copy at a cost of £39 or in PDF format at a cost of £24. Who is this Course for? Microsoft Excel 2016 PowerPivot is certified by CPD Qualifications Standards and CiQ. This makes it perfect for anyone trying to learn potential professional skills. As there is no experience and qualification required for this course, it is available for all students from any academic background. Requirements Our Microsoft Excel 2016 PowerPivot is fully compatible with any kind of device. Whether you are using Windows computer, Mac, smartphones or tablets, you will get the same experience while learning. Besides that, you will be able to access the course with any kind of internet connection from anywhere at any time without any kind of limitation. Career Path After completing this course you will be able to build up accurate knowledge and skills with proper confidence to enrich yourself and brighten up your career in the relevant job market. Microsoft Excel 2016 PowerPivot Enable and Navigate 00:30:00 Import Data from Various Data Sources 01:00:00 Refresh Data from a Data Source 00:30:00 Create Linked Tables 00:30:00 Organize and Format Tables 00:30:00 Create Calculated Columns 00:30:00 Sort and Filter PowerPivot Data 00:30:00 Create and Manage Table Relationships 01:00:00 Create PivotTables 01:00:00 Create PivotCharts 00:30:00 Create Power Views 01:00:00 Filter Data Using Slicers 00:30:00 Present PivotTable Data Visually 01:00:00 Manipulate PowerPivot Data Using DAX Functions 01:00:00 Extract Data from Tables Using Functions 00:30:00 Save Reports in Different File Formats 01:00:00 Work with Time Dependent Data 00:30:00 Protect Reports 00:30:00 Activities and Exercise Files - Microsoft Excel 2016 PowerPivot 00:00:00 Mock Exam Mock Exam- Microsoft Excel 2016 PowerPivot 00:20:00 Final Exam Final Exam- Microsoft Excel 2016 PowerPivot 00:20:00 Order Your Certificates and Transcripts Order Your Certificates and Transcripts 00:00:00

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Learn to build an HR Dashboard using Excel with our comprehensive course. From data introduction to designing index and tabs, analyze employee data effectively using pivot tables and charts. Ideal for HR professionals and analysts looking to create insightful dashboards for HR metrics and analysis.

Duration 2 Days 12 CPD hours This course is intended for This course is designed for professionals in a variety of job roles who are currently using desktop or web-based data management tools such as Microsoft Excel or SQL Server reporting services to perform numerical or general data analysis. They are responsible for connecting to cloud-based data sources, as well as shaping and combining data for the purpose of analysis. They are also looking for alternative ways to analyze business data, visualize insights, and share those insights with peers across the enterprise. This includes capturing and reporting on data to peers, executives, and clients. Overview In this course, you will analyze data with Microsoft Power BI. You will: Analyze data with self-service BI. Connect to data sources. Perform data cleaning, profiling, and shaping. Visualize data with Power BI. Enhance data analysis by adding and customizing visual elements. Model data with calculations. Create interactive visualizations. As technology progresses and becomes more interwoven with our businesses and lives, more data is collected about business and personal activities. This era of 'big data' is a direct result of the popularity and growth of cloud computing, which provides an abundance of computational power and storage, allowing organizations of all sorts to capture and store data. Leveraging that data effectively can provide timely insights and competitive advantages. Creating data-backed visualizations is key for data scientists, or any professional, to explore, analyze, and report insights and trends from data. Microsoft© Power BI© software is designed for this purpose. Power BI was built to connect to a wide range of data sources, and it enables users to quickly create visualizations of connected data to gain insights, show trends, and create reports. Power BI's data connection capabilities and visualization features go far beyond those that can be found in spreadsheets, enabling users to create compelling and interactive worksheets, dashboards, and stories that bring data to life and turn data into thoughtful action. Analyzing Data with Self-Service BI Topic A: Data Analysis and Visualization for Business Intelligence Topic B: Self-Service BI with Microsoft Power BI Connecting to Data Sources Topic A: Create Data Connections Topic B: Configure and Manage Data Relationships Topic C: Save Files in Power BI Performing Data Cleaning, Profiling, and Shaping Topic A: Clean, Transform, and Load Data with the Query Editor Topic B: Profile Data with the Query Editor Topic C: Shape Data with the Query Editor Topic D: Combine and Manage Data Rows Visualizing Data with Power BI Topic A: Create Visualizations in Power BI Topic B: Chart Data in Power BI Enhancing Data Analysis Topic A: Customize Visuals and Pages Topic B: Incorporate Tooltips Modeling Data with Calculations Topic A: Create Calculations with Data Analysis Expressions (DAX) Topic B: Create Calculated Measures and Conditional Columns Creating Interactive Visualizations Topic A: Create and Manage Data Hierarchies Topic B: Filter and Slice Reports Topic C: Create Dashboards Additional course details: Nexus Humans Microsoft Power BI: Data Analysis Practitioner (Second Edition) (v1.3) 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 Microsoft Power BI: Data Analysis Practitioner (Second Edition) (v1.3) 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.

Course Objectives At the end of this course you will be able to: Work with advanced lookup and reference functions Create macros to automate common tasks Use advanced techniques to analyse data Create PivotTables and PivotCharts Work with data validation tools Import and export data ' Customer Feedback Best Training Ever! Just finished a bespoke 1-1 training course in Excel Advanced, Macros & VBA. Pedro is an excellent trainer, imparting his skills and knowledge in the best way - appropriately to audience skills, knowledge and ability. Pedro is always approachable, encouraging and supportive, giving delegates the optimum learning environment. I would not hesitate to recommend Pedro as a trainer, whatever your level of ability. Amanda Morris - Treasury & Systems Accountant at Reall - Real Equity for All The course was very interesting and engaging and will definitely be put to use. The trainer was very helpful and charismatic. Marving Lopez - AM Best Europe Pedro was excellent. Very knowledgeable, clear and great rapport with class. Darren Barkey - Direct Wines Great content and learnt a lot. Really enjoyable :) Kristie-Lee Ryan - Stirling Ackroyd 1 year email support service Take a closer look at the consistent excellent feedback from our growing corporate clients visiting our site ms-officetraining co uk With more than 20 years experience, we deliver courses on all levels of the Desktop version of Microsoft Office and Office 365; ranging from Beginner, Intermediate, Advanced to the VBA level. Our trainers are Microsoft certified professionals with a proven track record with several years experience in delivering public, one to one, tailored and bespoke courses. Our competitive rates start from £550.00 per day of training Tailored training courses: You can choose to run the course exactly as they are outlined by us or we can customise it so that it meets your specific needs. A tailored or bespoke course will follow the standard outline but may be adapted to your specific organisational needs. Please visit our site (ms-officetraining co uk) to get a feel of the excellent feedback our courses have had and look at other courses you might be interested in. Advanced Functions COUNT, COUNTA, COUNTIF, COUNTBLANK, SUMIF, SUBTOTAL IF, OR, AND, IFERROR VLOOKUP to lookup Exact Values and Approximate values MATCH, INDIRECT, ROW/COLUMN, INDEX, OFFSET Analysing Data PMT function to calculate a monthly payment of a loan What If Analysis using Goal Seek Use scenarios to consider many different variables Using Solver Add-in to optimize variables PivotTables Create a PivotTable to analyse worksheet data Add or remove fields in a PivotTable Change the data source for a PivotTable Working with external data sources Using different Statistical Functions Calculate a Running Total, % of Grant Total, Difference From… Using the Slicer and Timeline to filter the PivotTable Using Filters in a PivotTable Group by Date, Auto Group by ranges of values, Custom Group Create a PivotChart The GETPIVOTDATA function Formula auditing Precedents and dependents Error checking Watch a formula and its result by using the Watch Window Evaluate a nested formula one step at a time Data Validation Number Validation Data List Validation Message Prompts and Alerts Conditional Data Validation Data Validation Errors Consolidation Consolidate data by position Consolidate data by category Use a formula to consolidate data Outline (group) data in a worksheet Create an outline of rows Create an outline of columns Copy outlined data Hide or remove an outline Connect external data to your workbook Using the Power Query Editor to import data From Text and CSV, From Access, From Web, From another Workbook Using the Power Query Editor to; Transform your data by Selecting which fields to import, by Splitting Columns, Changing Data Type and more. Deleting Applied Steps Refreshing your data Working with Form Controls; Buttons, Option Buttons and Scroll Bars Introduction to Macros Change Macro Security settings How to Record a macro Some Macro Examples Delete a macro Edit the macro to view the VBA code Copy part of a macro to create another macro Assign a macro to a button Who is this course for? Who is this course for? This course is intended to end users who want to develop their skills so they can use advanced techniques to analyse extensive and complex datasets in Excel and to automate simple tasks with the use of Macros. Requirements Requirements Preferably, delegates should have attended the Excel Intermediate course. Career path Career path Excel know-how can instantly increase your job prospects as well as your salary. 80 percent of job openings require spreadsheet and word-processing software skills Certificates Certificates Certificate of completion Digital certificate - Included

Course Objectives At the end of this course you will be able to: Work with advanced lookup and reference functions Create macros to automate common tasks Use advanced techniques to analyse data Create PivotTables and PivotCharts Work with data validation tools Import and export data ' Customer Feedback Best Training Ever! Just finished a bespoke 1-1 training course in Excel Advanced, Macros & VBA. Pedro is an excellent trainer, imparting his skills and knowledge in the best way - appropriately to audience skills, knowledge and ability. Pedro is always approachable, encouraging and supportive, giving delegates the optimum learning environment. I would not hesitate to recommend Pedro as a trainer, whatever your level of ability. Amanda Morris - Treasury & Systems Accountant at Reall - Real Equity for All The course was very interesting and engaging and will definitely be put to use. The trainer was very helpful and charismatic. Marving Lopez - AM Best Europe Pedro was excellent. Very knowledgeable, clear and great rapport with class. Darren Barkey - Direct Wines Great content and learnt a lot. Really enjoyable :) Kristie-Lee Ryan - Stirling Ackroyd 1 year email support service Take a closer look at the consistent excellent feedback visiting our site ms-officetraining co uk With more than 20 years experience, we deliver courses on all levels of the Desktop version of Microsoft Office and Office 365; ranging from Beginner, Intermediate, Advanced to the VBA level. Our trainers are Microsoft certified professionals with a proven track record with several years experience in delivering classrom, one to one, tailored and bespoke courses. Tailored In Company training: You can choose to run the course exactly as they are outlined by us or we can customise it so that it meets your specific needs. A tailored or bespoke course will follow the standard outline but may be adapted to your specific organisational needs. Please visit our site (ms-officetraining co uk) to get a feel of the excellent feedback our courses have had and look at other courses you might be interested in. Advanced Functions COUNT, COUNTA, COUNTIF, COUNTBLANK, SUMIF, SUBTOTAL IF, OR, AND, IFERROR VLOOKUP to lookup Exact Values and Approximate values MATCH, INDIRECT, ROW/COLUMN, INDEX, OFFSET Analysing Data PMT function to calculate a monthly payment of a loan What If Analysis using Goal Seek Use scenarios to consider many different variables Using Solver Add-in to optimize variables PivotTables Create a PivotTable to analyse worksheet data Add or remove fields in a PivotTable Change the data source for a PivotTable Working with external data sources Using different Statistical Functions Calculate a Running Total, % of Grant Total, Difference From… Using the Slicer and Timeline to filter the PivotTable Using Filters in a PivotTable Group by Date, Auto Group by ranges of values, Custom Group Create a PivotChart The GETPIVOTDATA function Formula auditing Precedents and dependents Error checking Watch a formula and its result by using the Watch Window Evaluate a nested formula one step at a time Data Validation Number Validation Data List Validation Message Prompts and Alerts Conditional Data Validation Data Validation Errors Consolidation Consolidate data by position Consolidate data by category Use a formula to consolidate data Outline (group) data in a worksheet Create an outline of rows Create an outline of columns Copy outlined data Hide or remove an outline Connect external data to your workbook Using the Power Query Editor to import data From Text and CSV, From Access, From Web, From another Workbook Using the Power Query Editor to; Transform your data by Selecting which fields to import, by Splitting Columns, Changing Data Type and more. Deleting Applied Steps Refreshing your data Working with Form Controls; Buttons, Option Buttons and Scroll Bars Introduction to Macros Change Macro Security settings How to Record a macro Some Macro Examples Delete a macro Edit the macro to view the VBA code Copy part of a macro to create another macro Assign a macro to a button Who is this course for? Who is this course for? This course is intended to end users who want to develop their skills so they can use advanced techniques to analyse extensive and complex datasets in Excel and to automate simple tasks with the use of Macros. Requirements Requirements Preferably, delegates should have attended the Excel Intermediate course. Career path Career path Excel know-how can instantly increase your job prospects as well as your salary. 80 percent of job openings require spreadsheet and word-processing software skills