2012 Analytics courses

Practical Sales Skills 1 Day Workshop in Elgin

Practical Sales Skills 1 Day Workshop in Chester

Practical Sales Skills 1 Day Workshop in Bedford

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Strengthen your position in the eCommerce industry by gaining solid PPC skills. Learn about Dynamic Search Ads, Ad Customers, Product Feeds for AdWords, and optimising Feed Quality.

This course is designed for those already using Power BI Desktop and are ready to work with more comprehensive elements of analysing and reporting in Power BI. The course maintains a balanced look at data analysis including the Power Query Editor, with a deep dive into writing DAX formulas, and enhanced dashboard visualisations. The aim of this course is to provide a more complete understanding of the whole Power BI analytics process, by working with business examples that will equip you with the necessary skills to output comprehensive reports and explore Power BI's analytical capabilities in more depth. 1 The Query Editor Grouping rows in a table Split row by delimiter Add days to determine deadlines The query editor 2 Fuzzy Matching Joins Matching inconsistencies by percentage Matching with transformation table 3 The Query Editor M Functions Adding custom columns Creating an IF function Nested AND logics in an IF function 4 DAX New Columns Functions Including TRUE with SWITCH Using multiple conditions The FIND DAX function The IF DAX function Logical functions IF, AND, OR 5 Editing DAX Measures Making DAX easier to read Add comments to a measure Using quick measures 6 The Anatomy of CALCULATE Understanding CALCULATE filters Add context to CALCULATE with FILTER Using CALCULATE with a threshold 7 The ALL Measure Anatomy of ALL Create an ALL measure Using ALL as a filter Use ALL for percentages 8 DAX Iterators Anatomy of iterators A closer look at SUMX Using RELATED with SUMX Create a RANKX RANKX with ALL 9 Date and Time Functions Overview of functions Create a DATEDIFF function 10 Time Intelligent Measures Compare historical monthly data Create a DATEADD measure Creating cumulative totals Creating cumulative measures Visualising cumulative totals 11 Visualisations In-Depth Utilising report themes Applying static filters Group data using lists Group numbers using bins Creating heatmaps Comparing proportions View trends with sparklines 12 Comparing Variables Visualising trendlines as KPI Forecasting with trendlines Creating a scatter plot Creating dynamic labels Customised visualisation tooltips Export reports to SharePoint

Digital Mindset in Financial Organizations: On-Demand This seminar presents the challenges, benefits, and pitfalls of digital transformation forfend tech companies, wealth management, and relationship management. We will also take a quick look into the future that digital transformation can bring to financial organizations. What You Will Learn At the end of this program, you will be able to: Understand the impact that digital is making on the economy and on customer expectations in the financial services marketplace Assess the nature and drivers of the digital transformation Understand digital change and definition of transformation and the challenge of digitalization on new banking business models, bundling and unbundling services, and disruptive financial technologies Evaluate digital transformation successes and failures in the financial services world Understand how digitalization affects high net worth clients, their access, loyalty, and use of digitalization in their banking and investments Develop an awareness of technology change and trends in banking and financial technology to meet the challenges of customer service and financial technology in the future Getting Started Foundation Concepts: Digital Transformation What is "New" about Digitalization? Driving Forces Digital Transformation Successes Digital Transformation and the High-Value Client Digital Wealth Management Omnichannel Concept Pathway to Digital Wealth Data Transformation Digital Technologies and Relationship Management Relationship Management The Evolution of Touch Points The human factor in Digital Transformations Financial Technology Trends Big Data and Analytics Other Major Trends Preview of Coming Attractions

Preparing for Digital Transformation: Virtual In-House Training Organizations today must keep pace with changing technology to stay abreast of the market demand. Keeping pace means a transformation of the entire organization into the digital age. This workshop presents the challenges, benefits, and pitfalls of digital transformation and how it will affect you, and how you can be better prepared and positioned for the upcoming digital transformation. The goal of this course is to enable you to become knowledgeable about the technologies behind a digital transformation in your organization and the driving forces compelling such a transformation. You will learn how to become engaged in the processes of transforming your organization digitally to meet with the growing demands of customers and clients What you will Learn Describe the impact that digital is making on the economy and on customer expectations Examine the nature and drivers of the digital transformation Evaluate new technologies such as Blockchain, Big Data, Artificial Intelligence, and other technologies and see how they work to bring about digital transformation Assess the impact of digital technologies on the current roles and positions in the organization Discuss both the demand that customers have for digital technologies and the impact the digital technologies have on the customer and its relationship with the organization Recognize the new technology trends in the digital transformation and what they mean to the future of the organization Identify how digital transformation will affect all roles and how to be prepared for the upcoming and continuing digital transformation Foundation Concepts Digital transformation versus automation Driving forces behind the digital transformation Learning from digital transformation successes Digital Transformation and Customer Orientation The Digital Customer Customer touch points and the customer journey Omnichannel concept Transform to the customer Digital Technologies and the Organization Relationship Management Big Data: The Basis for it All The Human Factor in Digital Transformations Risks of Digital Transformation Technology Trends Data and Business Analytics Other Major Trends Preview of Coming Attractions Pathway to Digital Transformation

In the digital age, the ability to interpret and predict data trends is paramount. Introducing 'Data Analysis and Forecasting in Excel', a comprehensive course tailored to unveil the intricacies of Excel's powerful tools. Dive deep into the world of worksheets, discover the magic of PivotTables, and unravel the secrets of data visualisation. Whether you're a novice eager to delve into data or a seasoned analyst looking to refine your skills, this course promises a transformative journey into the realm of Excel analytics. The curriculum is designed with the utmost care to ensure a holistic understanding. From the basics of modifying worksheets to the advanced techniques of forecasting data, every module is a step towards mastering Excel. With a focus on real-world applications, learners will be equipped to harness the potential of Excel, making data-driven decisions with confidence and precision. Visualisation is at the heart of understanding data. This course not only teaches you how to analyse data but also how to represent it effectively using charts, PivotCharts, and the innovative Sparklines. By the end of this course, you'll be adept at mapping data, automating workbook functionalities, and employing lookup functions with finesse. Learning Outcomes: Master the techniques of modifying and organising worksheets for optimal data representation. Understand and implement effective list management strategies within Excel. Analyse complex datasets and derive meaningful insights. Design and create compelling visual representations using charts and other visual tools. Efficiently utilise PivotTables and PivotCharts for advanced data analysis. Integrate and manage data across multiple worksheets and workbooks. Implement lookup functions and audit formulas to ensure data accuracy and integrity. Why buy this Data Analysis and Forecasting in Excel course? Unlimited access to the course for a lifetime. Opportunity to earn a certificate accredited by the CPD Quality Standards after completing this course. Structured lesson planning in line with industry standards. Immerse yourself in innovative and captivating course materials and activities. Assessments are designed to evaluate advanced cognitive abilities and skill proficiency. Flexibility to complete the Data Analysis and Forecasting in Excel Course at your own pace, on your own schedule. Receive full tutor support throughout the week, from Monday to Friday, to enhance your learning experience Who is this Data Analysis and Forecasting in Excel course for? Individuals keen on mastering Excel for data interpretation and visualisation. Business analysts aiming to enhance their data forecasting abilities. Students pursuing a career in data analytics or business intelligence. Managers and decision-makers seeking to make data-driven strategies. Researchers looking to streamline and enhance their data processing techniques. Career path Data Analyst: Average salary range £30,000 - £50,000 annually. Business Intelligence Analyst: Average salary range £35,000 - £55,000 annually. Market Research Analyst: Average salary range £27,000 - £45,000 annually. Financial Analyst: Average salary range £35,000 - £60,000 annually. Operations Research Analyst: Average salary range £40,000 - £65,000 annually. Management Analyst: Average salary range £45,000 - £70,000 annually. Prerequisites This Data Analysis and Forecasting in Excel does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Data Analysis and Forecasting in Excel was made by professionals and it is compatible with all PC's, Mac's, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection. Certification After studying the course materials, there will be a written assignment test which you can take at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £4.99 Original Hard Copy certificates need to be ordered at an additional cost of £8. Course Curriculum Modifying a Worksheet Insert, Delete, and Adjust Cells, Columns, and Rows 00:10:00 Search for and Replace Data 00:09:00 Use Proofing and Research Tools 00:07:00 Working with Lists Sort Data 00:10:00 Filter Data 00:10:00 Query Data with Database Functions 00:09:00 Outline and Subtotal Data 00:09:00 Analyzing Data Apply Intermediate Conditional Formatting 00:07:00 Apply Advanced Conditional Formatting 00:05:00 Visualizing Data with Charts Create Charts 00:13:00 Modify and Format Charts 00:12:00 Use Advanced Chart Features 00:12:00 Using PivotTables and PivotCharts Create a PivotTable 00:13:00 Analyze PivotTable Data 00:12:00 Present Data with PivotCharts 00:07:00 Filter Data by Using Timelines and Slicers 00:11:00 Working with Multiple Worksheets and Workbooks Use Links and External References 00:12:00 Use 3-D References 00:06:00 Consolidate Data 00:05:00 Using Lookup Functions and Formula Auditing Use Lookup Functions 00:12:00 Trace Cells 00:09:00 Watch and Evaluate Formulas 00:08:00 Automating Workbook Functionality Apply Data Validation 00:13:00 Search for Invalid Data and Formulas with Errors 00:04:00 Work with Macros 00:18:00 Creating Sparklines and Mapping Data Create Sparklines 00:07:00 MapData 00:07:00 Forecasting Data Determine Potential Outcomes Using Data Tables 00:08:00 Determine Potential Outcomes Using Scenarios 00:09:00 Use the Goal Seek Feature 00:04:00 Forecasting Data Trends 00:05:00