1725 Analytics courses in Liverpool delivered Online

Data Analytics with Tableau is yet another 'Teacher's Choice' course from Teachers Training for a complete understanding of the fundamental topics. You are also entitled to exclusive tutor support and a professional CPD-accredited certificate in addition to the special discounted price for a limited time. Just like all our courses, this Data Analytics with Tableau and its curriculum have also been designed by expert teachers so that teachers of tomorrow can learn from the best and equip themselves with all the necessary skills. Consisting of several modules, the course teaches you everything you need to succeed in this profession. The course can be studied part-time. You can become accredited within 07 hours studying at your own pace. Your qualification will be recognised and can be checked for validity on our dedicated website. Why Choose Teachers Training Some of our website features are: This is a dedicated website for teaching 24/7 tutor support Interactive Content Affordable price Courses accredited by the UK's top awarding bodies 100% online Flexible deadline Entry Requirements No formal entry requirements. You need to have: Passion for learning A good understanding of the English language Be motivated and hard-working Over the age of 16. Certification CPD Certification from The Teachers Training Successfully completing the MCQ exam of this course qualifies you for a CPD-accredited certificate from The Teachers Training. You will be eligible for both PDF copy and hard copy of the certificate to showcase your achievement however you wish. You can get your digital certificate (PDF) for £4.99 only Hard copy certificates are also available, and you can get one for only £10.99 You can get both PDF and Hard copy certificates for just £12.99! The certificate will add significant weight to your CV and will give you a competitive advantage when applying for jobs. Module 01: Introduction to the Course Introduction to the Course 00:02:00 What is Tableau?An Introduction to Tableau 00:03:00 How this course is Structured 00:01:00 Installing the Free Full Version of Tableau 00:02:00 Module 02: Project 1: Discount Mart (Sales and Profit Analytics) Project Brief for Discount Mart 00:03:00 Connecting and Preparing Data for Discount Mart 00:15:00 Building Charts on Tableau for Discount Mart (Part 1) 00:33:00 Building Charts on Tableau for Discount Mart (Part 2) 00:16:00 Creating Headline Cards on Tableau for Discount Mart 00:10:00 Building and Publishing Dashboards on Tableau 00:15:00 Module 03: Project 2: Green Destinations (HR Analytics) Project Brief for Green Destinations 00:02:00 Connecting and Preparing Data for Green Destinations 00:09:00 Building Charts on Tableau (Part 1) for Green Destinations 00:28:00 Building Charts on Tableau (Part 2) for Green Destinations 00:08:00 Creating Headline Cards on Tableau 00:15:00 Building a Dashboard for Green Destinations 00:12:00 Publish your Dashboard to Tableau Public 00:02:00 Module 04: Project 3: Superstore (Sales Agent Tracker) Project Brief for Super Store 00:02:00 Connecting and Preparing Data for Super Store 00:17:00 Building Charts on Tableau (Part 1) for Super Store 00:34:00 Building Charts on Tableau (Part 2) for Super Store 00:23:00 Building a Dashboard 00:18:00 Publish your Dashboard to Tableau Public 00:03:00 Module 05: Northwind Trade (Shipping Analytics) Project Brief for Northwind Trade 00:03:00 Connecting and Preparing Data for Northwind Trade 00:14:00 Building Charts on Tableau for Northwind Trade 00:37:00 Building and Publishing Dashboards for Northwind Trade 00:10:00 Module 06: Project 5: Tesla (Stock Price Analytics) Project Brief for Tesla 00:02:00 Creating a Data Source through Google Sheet Functions 00:05:00 Connect to the Data for Tesla 00:04:00 Building Charts on Tableau for Tesla 00:22:00 Building Headline Cards 00:09:00 Building a Tesla Dashboard 00:08:00 Publish your Dashboard to Tableau Public 00:03:00 Module 07: Bonus: Introduction to Database Concepts Introduction to Database Concepts 00:01:00 Understanding Relational Databases 00:04:00 Relationships of Database Entities 00:02:00 Primary and Foreign Keys 00:01:00 Data types and Naming Conventions 00:04:00 Module 08: Tableau Stories Creating Stories on Tableau 00:05:00 Resources Resources - Data Analytics with Tableau 00:00:00

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

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

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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