15 Maths courses in Burgess Hill

A workshop for 19-29 years olds living in West Sussex who do not have their level 4 or higher maths GCSE (or equivalent). Become more confident using maths to help with everyday spending.

Improove your child’s arithmetic and problem solving skills with Time Master skill development center’s Maths coaching courses in Abu Dhabi .Our courses are designed in a way to improve your child’s academic,creativity and problem solving skills.Our team of well trained teachers make sure that your child have a deep understanding of mathematical concept with both curricular and co-curricular activities. Call us:02 6739171 Mail us, at  info@timemaster.ae     Learn more:https://timemaster.ae/maths-coaching Address:112576, ADCP Tower B,Office 404, Behind City Seasons, Electra Street,Abu Dhabi - United Arab Emirates

£ Enquire Highfield Functional Skills Qualification in Mathematics, level 2 45 - 50 hours

£ Enquire Highfield Functional Skills Qualification in Mathematics, level 1 45 - 50 hours

This course starts with the basics then moves seamlessly to an intermediate level. It includes a comprehensive yet balanced look at the four main components that make up Power BI Desktop: Report view, Data view, Model view, and the Power Query Editor. It also demonstrates how to use the online Power BI service. It looks at authoring tools that enables you to connect to and transform data from a variety of sources, allowing you to produce dynamic reports using a library of visualisations. Once you have those reports, the course looks at the seamless process of sharing those with your colleagues by publishing to the online Power BI service. The aim of this course is to provide a strong understanding of the Power BI analysis process, by working with real-world examples that will equip you with the necessary skills to start applying your knowledge straight away. 1 Getting started The Power BI process Launching Power BI Desktop The four views of Power BI Dashboard visuals 2 Connecting to files Connect to data sources Connect to an Excel file Connect to a CSV file Connect to a database Import vs. DirectQuery Connect to a web source Create a data table 3 Transforming data The process of cleaning data Column data types Remove rows with filters Add a custom column Append data to a table Fix error issues Basic maths operations 4 Build a data model Table relationships Manage table relationships 5 Merge queries Table join kinds Merging tables 6 Create report visualisations Creating map visuals Formatting maps Creating chart visuals Formatting chart Tables, matrixes, and cards Control formatting with themes Filter reports with slicers Reports for mobile devices Custom online visuals Export report data to Excel 7 The power query editor Fill data up and down Split columns by delimiter Add conditional columns Merging columns 8 The M formula Creating M functions Create an IF function Create a query group 9 Pivot and unpivot tables Pivot tables in the query editor Pivot and append tables Pivot but don't summarise Unpivot tables Append mismatched headers 10 Data modelling revisited Data model relationships Mark a calendar as a date table 11 Introduction to calculated columns New columns vs. measures Creating a new column calculation The SWITCH function 12 Introduction to DAX measures Common measure categories The SUM measure Adding measures to visuals COUNTROWS and DISINCTCOUNT functions DAX rules 13 The CALCULATE measure The syntax of CALCULATE Things of note about CALCULATE 14 The SUMX measure The SUMX measure X iterator functions Anatomy of SUMX 15 Introduction to time intelligence Importance of a calendar table A special lookup table The TOTALYTD measure Change year end in TOTALYTD 16 Hierarchy, groups and formatting Create a hierarchy to drill data Compare data in groups Add conditional formatting 17 Share reports on the web Publish to the BI online service Get quick insights Upload reports from BI service Exporting report data What is Q&A? Sharing your reports 18 Apply your learning Post training recap lesson

There is a lot to learn in Power BI, this course takes a comprehensive look at the fundamentals of analysing data and includes a balanced look at the four main components that make up Power BI Desktop: Report view, Data view, Model view, and the Power Query Editor. It also demonstrates how to utilise the online Power BI service. It looks at authoring tools that enable you to connect to and transform data from a variety of sources, allowing you to produce detailed reports through a range of visualisations, in an interactive and dynamic way. It also includes a detailed look at formulas by writing both M functions in Power Query, and DAX functions in Desktop view. This knowledge will allow you to take your reports to the next level. The aim of this course is to provide a complete introduction to understanding the Power BI analysis process, by working hands-on with examples that will equip you with the necessary skills to start applying your learning straight away. 1 Getting Started The Power BI ecosystem Opening Power BI Desktop Power BI's four views Introduction to Dashboards 2 Importing Files Importing data sources Importing an Excel file Importing a CSV file Importing a database Connect to an SQL Server Database Import vs. Direct Query Importing from the web Importing a folder of files Managing file connections 3 Shape Data in the Query Editor The process of shaping data Managing data types Keeping and removing rows Add a custom column Appending tables together Hiding queries in reports Fixing error issues Basic maths operations 4 The Data Model Table relationships Relationship properties 5 Merge Queries Table join kinds Merging tables 6 Inserting Dashboard Visuals Things to keep in mind Inserting maps Formatting Maps Inserting charts Formatting Charts Inserting a tree map Inserting a table, matrix, and card Controlling number formats About report themes Highlighting key points Filter reports with slicers Sync slicers across dashboards Custom web visuals 7 Publish and share Reports Publishing to Power BI service Editing online reports Pinning visuals to a dashboard What is Q&A? Sharing dashboards Exporting reports to PowerPoint Exporting reports as PDF files 8 The Power Query Editor Fill data up and down Split column by delimiter Add a conditional column More custom columns Merging columns 9 The M Functions Inserting text functions Insert an IF function Create a query group 10 Pivoting Tables Pivot a table Pivot and append tables Pivot but don't aggregate Unpivot tables Append mismatched headers 11 Data Modelling Expanded Understanding relationships Mark a date table 12 DAX New Columns New columns and measures New column calculations Insert a SWITCH function 13 Introduction to DAX Measures Common measure functions Insert a SUM function Insert a COUNTROWS function Insert a DISTINCTCOUNT function Insert a DIVIDE function DAX rules 14 The CALCULATE Measure The syntax of CALCULATE Insert a CALCULATE function Control field summarisation Things of note 15 The SUMX measure X iterator functions Anatomy of SUMX Insert a SUMX function When to use X functions 16 Time Intelligence Measures Importance of a calendar table Insert a TOTALYTD function Change financial year end date Comparing historical data Insert a DATEADD function 17 Hierarchies and Groups Mine data using hierarchies Compare data in groups

Use some of the hidden statistical analysis tools within Excel to build complex data models. Course overview Duration: 1 day (6.5 hours) This advanced Excel course looks at some of the statistical analysis tools available and gives examples of when they might be used. This course is aimed at advanced users of Excel who work with statistical data often and have a good knowledge of Maths. Objectives By the end of the course you will be able to: Use Goal Seek Create and view scenarios Use Forecast Sheet Create single and double input data tables Create models using the solver Install and use the Analysis Toolpak Create and use array formulas Use a range of advanced Financial and Statistical Excel functions Content Using what if analysis options Using Goal Seek Creating, saving and viewing scenarios Generating a Forecast sheet Solver Creating models Projecting scenarios with Solver Using data tables Creating single input data tables Creating double input data tables Projecting with data tables Financial functions PMT FV NPV Analysing data with Analysis ToolPak Installing the Analysis Toolpak Generating statistical analysis Visualising data using Histograms Array formulas Using embedded Excel Array formulas Create an Array formula Multi and single cell Array formula Using TRANSPOSE to flip rows or columns Use the FREQUENCY Function Use an array to count unique entries in a range Dynamic arrays Spilling data Using the new dynamic array functions Advance functions in formulas Statistical functions:MEAN, MEDIAN and MODERANKLARGE and SMALLMODPERCENTILE Use the AGGREGATE function to sum data in ranges with errors

A workshop for 19-29 years olds living in West Sussex who do not have their level 4 or higher maths GCSE (or equivalent). Build your confidence using numeracy skills common in all sorts of jobs.

A workshop for 19-29 years olds living in West Sussex who do not have their level 4 or higher maths GCSE (or equivalent). Learn how to plan a budget for your weekly or monthly income.

A workshop for 19-29 years olds living in West Sussex who do not have their level 4 or higher maths GCSE (or equivalent). Learn how to maximise your heard earned money with money saving tips.