1723 Analytics courses in Neath delivered Online

OVERVIEW This official Microsoft Power BI training course will teach you how to connect to data from many sources, clean and transform it using Power Query, create a data model consisting of multiple tables connected with relationships and build visualisations and reports to show the patterns in the data. The course will explore formulas created using the DAX language, including the use of advanced date intelligence calculations. Additional visualisation features including interactivity between the elements of a report page are covered as well as parameters and row-level security, which allows a report to be tailored according to who is viewing it. The course will also show how to publish reports and dashboards to a workspace on the Power BI Service. COURSE BENEFITS: Learn how to clean, transform, and load data from many sources Use database queries in Power Query to combine tables using append and merge 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 advanced time calculations using date tables Optimise report calculations using the Performance Analyzer Manage and share report assets to the Power BI Service Prepare for the official Microsoft PL-300 exam using Microsoft Official Courseware WHO IS THE COURSE FOR? Data Analysts with little or no experience of Power BI who wish to upgrade their knowledge to include Business Intelligence Management Consultants who need to conduct rapid analysis of their clients’ data to answer specific business questions Analysts who need to upgrade their organisation from a simple Excel or SQL-based management reporting system to a dynamic BI system Data Analysts who wish to develop organisation-wide reporting in the form of web reports or phone apps Marketers in data-intensive organisations who wish to build visually appealing, dynamic charts for their stakeholders to use COURSE OUTLINE Module 1 Getting Started With Microsoft Data Analytics Data analytics and Microsoft Getting Started with Power BI Module 2 Get Data In Power BI Get data from various data sources Optimize performance Resolve data errors Lab: Prepare Data in Power BI Desktop Module 3 Clean, Transform And Load Data In Power BI Data shaping Data profiling Enhance the data structure Lab: Load Data in Power BI Desktop Module 4 Design A Data Model In Power BI Introduction to data modelling Working with Tables Dimensions and Hierarchies Lab: Model Data in Power BI Desktop Module 5 Create Model Calculations Using DAX In Power BI Introduction to DAX Real-time Dashboards Advanced DAX Lab 1: Create DAX Calculations in Power BI Desktop, Part 1 Lab 2: Create DAX Calculations in Power BI Desktop, Part 2 Module 6 Optimize Model Performance Optimize the data model for performance Optimize DirectQuery models Module 7 Create Reports Design a Report Enhance the Report Lab 1: Design a Report in Power BI Desktop, Part 1 Lab 2: Design a Report in Power BI Desktop, Part 2 Module 8 Create Dashboards Create a Dashboard Real-time Dashboards Enhance a Dashboard Lab: Create a Power BI Dashboard Module 9 Perform Advanced Analytics Advanced analytics Data Insights through AI Visuals Lab: Perform Data Analysis in Power BI Desktop Module 10 Create And Manage Workspaces Creating Workspaces Sharing and managing assets Module 11 Manage Datasets In Power BI Parameters Datasets Module 12 Row-Level Security Security in Power BI Lab: Enforce Row-Level Security

Duration 1 Days 6 CPD hours This course is intended for Report authors wanting to develop interactive report content, or content disconnected from IBM Cognos servers. In this course, participants increase their IBM Cognos Analytics experience by building interactive reports using Active Report controls, which can be distributed to and consumed by users in a disconnected environment, including mobile devices. Introduction to IBM Cognos Active Reports Examine IBM Cognos Active Reports Convert an existing report into an Active Report Add interactions in Active Reports using Active Report connections Create a basic Active Report Examine interactive behavior of Active Report controls Save a report in the IBM Cognos Analytics portal Save an Active Report to an MHT file Save an Active Report as a report template Use an Active Report as a prompt page Understand Active Report security Use Active Report Connections Examine Active Report connections Filter and select in controls using Active Report connections Examine variables Use a single variable to control multiple controls Use multiple variables to show different data in different controls Use Active Report controls to support mobile device usage Active Report Charts & Decks Add charts to active reports Understand and optimize chart behavior Examine decks and data decks Optimize use of decks Review Master Detail relationships Examine RAVE visualizations

Unlock the door to endless possibilities with our comprehensive bundle of courses: "Python for Machine Learning and Data Analytics." In the UK, professionals in these fields can enjoy lucrative career opportunities with average annual salaries ranging from £40,000 to £80,000+. Imagine yourself at the forefront of technological advancements, harnessing the power of Python programming to revolutionise data analysis, develop intelligent systems, and make informed business decisions. Introducing our captivating bundle of courses: "Python for Machine Learning and Data Analytics." Whether you're a novice seeking to enter the world of Python programming or an experienced professional looking to enhance your skills, this bundle is tailor-made for you. Each course in this bundle holds a prestigious CPD accreditation, symbolising exceptional quality. The materials, brimming with knowledge, are regularly updated, ensuring their relevance. This bundle promises not just education but an evolving learning experience. Engage with this extraordinary collection, and prepare to enrich your personal and professional development. Immerse yourself in these diverse, enthralling subjects, each designed to fuel your curiosity and enhance your knowledge. Dive in now! The courses in this bundle include: Python For Beginners Machine Learning Basics Data Analytics Learning outcomes: Gain proficiency in Python programming, from the basics to more advanced concepts, allowing you to develop efficient and robust code for data analysis and machine learning applications. Understand the fundamental principles of machine learning, including different algorithms and techniques, enabling you to train models, make predictions, and evaluate their performance. Acquire practical knowledge in data preprocessing, exploration, and visualisation techniques, empowering you to extract meaningful insights from complex datasets. Develop the skills to implement machine learning algorithms and techniques in Python, creating intelligent systems that can adapt and learn from data. Learn to effectively use Python libraries and frameworks such as NumPy, Pandas and Scikit-learn to streamline your data analysis and machine learning workflows. Gain hands-on experience by working on real-world projects and exercises, solidifying your understanding of Python programming, machine learning, and data analytics. Introducing our captivating bundle of courses: "Python for Machine Learning and Data Analytics." Whether you're a novice seeking to enter the world of Python programming or an experienced professional looking to enhance your skills, this bundle is tailor-made for you. The Python For Beginners course comprehensively introduces Python programming. You will learn the basics of Python syntax, data structures, control flow, and functions. By the end of this course, you will have a solid understanding of Python fundamentals and be ready to dive deeper into advanced concepts. In the Machine Learning Basics course, you will explore the fundamentals of machine learning. You will learn different machine learning algorithms, such as regression, classification, and clustering, and understand how to train and evaluate models. Through hands-on projects, you will gain practical experience in developing machine-learning solutions. The Data Analytics course focuses on the art of extracting insights from data. You will learn data preprocessing techniques, exploratory data analysis, and data visualisation using Python libraries such as NumPy, Pandas, and Matplotlib. This course will equip you with the skills to make data-driven decisions and effectively communicate findings. CPD 25 CPD hours / points Accredited by CPD Quality Standards Who is this course for? This course is ideal for the following: Aspiring data analysts seeking to enhance their skills in Python and data analytics. Professionals are interested in entering the field of machine learning and data science. Software developers want to expand their knowledge into machine learning and data analytics. Business analysts who want to leverage Python and data analytics to gain valuable insights. Students or graduates looking to enhance their employability with in-demand skills. Career path People tend to pursue these career paths in this sector: Data Analyst: £25,000 - £45,000 per year Machine Learning Engineer: £40,000 - £70,000 per year Data Scientist: £45,000 - £80,000 per year Business Analyst: £30,000 - £55,000 per year Python Developer: £35,000 - £60,000 per year Data Engineer: £40,000 - £70,000 per year Research Scientist: £40,000 - £75,000 per year Certificates Certificate Of Completion Digital certificate - Included Certificate Of Completion Hard copy certificate - £9.99 Unlock your potential and showcase your accomplishments with our CPD Quality Standards certificates! Upon successful completion of the course, learners can obtain a CPD Quality Standards PDF certificate for Python For Beginners Part 1 absolutely free! Upon finishing Machine Learning Basics and Data Analytics, you'll have the opportunity to obtain valuable proof of your achievement. For just £4.99, we'll send you a CPD Quality Standards PDF Certificate via email, or if you prefer, you can get a beautifully printed hardcopy certificate for £9.99 in the UK. If you're located internationally, don't worry! We offer a printed hardcopy certificate for £14.99, ensuring your success knows no boundaries. Grab your certificate and celebrate your success today!

Duration 2 Days 12 CPD hours This course is intended for Authors Overview Please refer to course overview This course teaches experienced authors advanced report building techniques to enhance, customize, manage, and distribute reports. Additionally, the student will learn how to create highly interactive and engaging reports that can be run offline by creating Active Reports. Create query models Build a query and connect it to a report Answer a business question by referencing data in a separate query Create reports based on query relationships Create join relationships between queries Combine data containers based on relationships from different queries Create a report comparing the percentage of change Introduction to dimensional reporting concepts Examine data sources and model types Describe the dimensional approach to queries Apply report authoring styles Introduction to dimensional data in reports Use members to create reports Identify sets and tuples in reports Use query calculations and set definitions Dimensional report context Examine dimensional report members Examine dimensional report measures Use the default measure to create a summarized column in a report Focus your dimensional data Focus your report by excluding members of a defined set Compare the use of the filter() function to a detail filter Filter dimensional data using slicers Calculations and dimensional functions Examine dimensional functions Show totals and exclude members Create a percent of base calculation Create advanced dynamic reports Use query macros Control report output using a query macro Create a dynamic growth report Create a report that displays summary data before detailed data and uses singletons to summarize information Design effective prompts Create a prompt that allows users to select conditional formatting values Create a prompt that provides users a choice between different filters Create a prompt to let users choose a column sort order Create a prompt to let users select a display type Examine the report specification Examine report specification flow Identify considerations when modifying report specifications Customize reporting objects Distribute reports Burst a report to email recipients by using a data item Burst a list report to the IBM Cognos Analytics portal by using a burst table Burst a crosstab report to the IBM Cognos Analytics portal by using a burst table and a master detail relationship Enhance user interaction with HTML Create interactive reports using HTML Include additional information with tooltips Send emails using links in a report Introduction to IBM Cognos Active Reports Examine Active Report controls and variables Create a simple Active Report using Static and Data-driven controls Change filtering and selection behavior in a report Create interaction between multiple controls and variables Active Report charts and decks Create an Active Report with a Deck Create an Active Report with 11.0 visualizations

Recent statistics indicate a soaring demand for proficiency in Microsoft Power BI & Microsoft Excel, reflecting these tools' indispensable role in modern data analytics and business intelligence. With the digital landscape evolving rapidly, organisations seek adept professionals capable of harnessing the power of data for strategic decision-making. Our comprehensive Microsoft Power BI & Microsoft Excel QLS Endorsed Diploma bundle, comprising a range of QLS endorsed and CPD QS accredited courses, is meticulously designed to equip learners with advanced skills in Microsoft Power BI & Microsoft Excel, alongside essential competencies in big data analytics and career development. In today's data-driven world, proficiency in Microsoft Power BI & Microsoft Excel is not merely advantageous but imperative. As businesses strive to extract actionable insights from vast datasets, the demand for skilled professionals proficient in these tools continues to surge. Our Microsoft Power BI & Microsoft Excel bundle offers a holistic approach, combining technical expertise with personal development modules, ensuring learners emerge as well-rounded professionals equipped to thrive in the competitive landscape of data analytics and business intelligence. Bundle Includes: QLS Endorsed Courses: Course 01: Advanced Diploma in Microsoft Power BI at QLS Level 7 Course 02: Advanced Diploma in Microsoft Excel Complete Course 2019 at QLS Level 7 CPD QS Accredited Courses: Course 03: Big Data Analytics with PySpark Power BI and MongoDB Course 04: Big Data Analytics with PySpark Tableau Desktop and MongoDB Course 05: Develop Big Data Pipelines with R, Sparklyr & Power BI Course 06: Microsoft Office 365 Automation Course Course 07: Microsoft Outlook - 25 Must-Know Tips and Tricks Course 08: Microsoft Access - 25 Must-Know Tips and Tricks Course 09: Microsoft Excel - 25 Must-Know Formulas and Functions Course 10: Data Analysis and Forecasting in Excel Take your career to the next level with our Microsoft Power BI & Microsoft Excel bundle that includes technical courses and five guided courses focused on personal development and career growth. Course 11: Career Development Plan Fundamentals Course 12: CV Writing and Job Searching Course 13: Networking Skills for Personal Success Course 14: Ace Your Presentations: Public Speaking Masterclass Course 15: Decision-Making and Critical Thinking Seize this opportunity to elevate your career with our comprehensive Microsoft Power BI & Microsoft Excel bundle, endorsed by the prestigious QLS and accredited by CPD.Microsoft Power BI & Microsoft Excel QLS Endorsed Diploma. Learning Outcomes: Upon completion of this Microsoft Power BI & Microsoft Excel bundle course, participants will: Master advanced techniques in Microsoft Power BI & Microsoft Excel, enabling proficient data analysis and visualization. Develop expertise in big data analytics, leveraging tools like PySpark, Tableau Desktop, and MongoDB for enhanced data processing and interpretation. Acquire essential automation skills through the Microsoft Office 365 Automation Course, streamlining workflow processes and increasing productivity. Enhance communication and presentation abilities through networking, public speaking, and decision-making courses. Gain insights into effective career development strategies, including CV writing, job searching, and professional networking. Apply critical thinking skills to evaluate complex data sets and make informed business decisions. Embark on a transformative journey of skill enhancement with our comprehensive Microsoft Power BI & Microsoft Excel course bundle focusing on Microsoft Power BI & Microsoft Excel. Delve into advanced techniques and methodologies essential for proficient data analysis and visualization. Through a series of meticulously crafted modules, participants will master the intricacies of Power BI, enabling them to transform raw data into actionable insights. From creating interactive dashboards to conducting in-depth data analysis, learners will acquire the proficiency needed to navigate the complexities of modern data analytics with confidence and precision. In addition to honing technical expertise, participants will explore the realm of big data analytics, leveraging powerful tools such as PySpark, Tableau Desktop, and MongoDB. Dive deep into the world of data processing and interpretation, equipping yourself with the skills necessary to tackle large-scale datasets effectively. Through hands-on learning experiences and engaging course content of Microsoft Power BI & Microsoft Excel, individuals will emerge equipped to tackle real-world challenges in data analytics, poised to make meaningful contributions to their organizations' success. CPD 150 CPD hours / points Accredited by CPD Quality Standards Who is this course for? This Microsoft Power BI & Microsoft Excel course is ideal for: Professionals seeking to enhance their proficiency in Microsoft Power BI & Microsoft Excel. Individuals aspiring to pursue careers in data analytics and business intelligence. Students and recent graduates looking to bolster their skill set for employment opportunities. Entrepreneurs aiming to leverage data-driven insights for business growth. Professionals seeking to advance their career prospects through enhanced communication and presentation skills. Individuals keen on developing a strategic approach to career development and networking. Requirements You are warmly invited to register for this bundle. Please be aware that no formal entry requirements or qualifications are necessary. This curriculum has been crafted to be open to everyone, regardless of previous experience or educational attainment. Career path Upon completion of this Microsoft Power BI & Microsoft Excel bundle course, participants can pursue diverse career paths, including: Data Analyst Business Intelligence Analyst Data Scientist Financial Analyst Business Consultant Project Manager IT Manager Certificates 13 CPD Quality Standard Certificates Digital certificate - Included 2 QLS Endorsed Certificates Hard copy certificate - Included

Get job ready with CompTIA's Data Analysis Certification. Live Classes - Career Guidance - Exam Included.

This is a complete crash course about KNIME for beginners. Here, we will learn how to do data cleaning and data preparation without any code, using KNIME. We will also cover data visualization using Tableau and Power BI Desktop. Then we will understand the predictive analytics capabilities of KNIME and finally, cover machine learning in KNIME.

Our Learn Google Analytics-From a Beginner to becoming a Pro course is a Complete beginner guide to this amazing free tool. You will learn right from setting up your Google Analytics Account to diving deeper into Google Analytics & reporting.  Google's free web analytics service allows you to extract detailed insights about the visitors on your website. It is a very powerful tool that can be used to develop more content and even marketing strategies to boost sales.  Businesses nowadays rely extensively on web-based platforms to reach more customers and improve sales. So relevant knowledge on using Google Analytics can give you the extra edge you need to land your desired job.  The course is structured into simple tutorials with a practical hands-on look at the Google Analytics interface. So, beginners will have no trouble understanding how to work with Google Analytics.

This course primarily focuses on explaining the concepts of Python and PySpark. It will help you enhance your data analysis skills using structured Spark DataFrames APIs.

Duration 2 Days 12 CPD hours This course is intended for Report Authors Overview Create query models Create reports based on query relationships Introduction to dimensional data Introduction to dimensional data in reports Dimensional report context Focus your dimensional data Calculations and dimensional functions Create advanced dynamic reports This offering teaches Professional Report Authors about advanced report building techniques using relational data models, dimensional data, and ways of enhancing, customizing, managing, and distributing professional reports. The course builds on topics presented in the Fundamentals course. Activities will illustrate and reinforce key concepts during this learning activity. Create query models Build a query and connect it to a report Answer a business question by referencing data in a separate query Create reports based on query relationships Create join relationships between queries Combine data containers based on relationships from different queries Create a report comparing the percentage of change Introduction to dimensional reporting concepts Examine data sources and model types Describe the dimensional approach to queries Apply report authoring styles Introduction to dimensional data in reports Use members to create reports Identify sets and tuples in reports Use query calculations and set definitions Dimensional report context Examine dimensional report members Examine dimensional report measures Use the default measure to create a summarized column in a report Focus your dimensional data Focus your report by excluding members of a defined set Compare the use of the filter() function to a detail filter Filter dimensional data using slicers Calculations and dimensional functions Examine dimensional functions Show totals and exclude members Create a percent of base calculation Create advanced dynamic reports Use query macros Control report output using a query macro Create a dynamic growth report Create a report that displays summary data before detailed data and uses singletons to summarize information Design effective prompts Create a prompt that allows users to select conditional formatting values Create a prompt that provides users a choice between different filters Create a prompt to let users choose a column sort order Create a prompt to let users select a display type Examine the report specification Examine report specification flow Identify considerations when modifying report specifications Customize reporting objects Distribute reports Burst a report to email recipients by using a data item Burst a list report to the IBM Cognos Analytics portal by using a burst table Burst a crosstab report to the IBM Cognos Analytics portal by using a burst table and a master detail relationship Enhance user interaction with HTML Create interactive reports using HTML Include additional information with tooltips Send emails using links in a report Introduction to IBM Cognos Active Reports Examine Active Report controls and variables Create a simple Active Report using Static and Data-driven controls Change filtering and selection behavior in a report Create interaction between multiple controls and variables Active Report charts and decks Create an Active Report with a Data deck Use Master detail relationships with Decks Optimize Active Reports Create an Active Report with new visualizations