Course Content History of Massage Benefits and effects of treatment Associated Anatomy & Physiology Contra-indications & contra-actions to treatment Client care and communication in beauty related industries Aftercare advice Monitor and maintain health and safety practice in the salon Practical demonstration Professional assessment Record cards and data-protection Duration Four days – 10.00am - 4.00pm
Nasogastric tube training ensures healthcare professionals have the correct clinical knowledge and skills to provide excellent care and support for individuals who may require treatment via NG tube for nutrition, hydration or medication.
What Does The Course Include? When choosing a course ensure that it includes both theory and a wide variety of practical content. Every course should include: Anatomy and Physiology Types & structure of the hair Skin, blood and lymphatic circulation Reproductive and endocrine system Theory of Electric Currents Consultations & Record Cards Contra-indications & contra-actions Aftercare advice Choice of needles / probes Accurate probing techniques Legislation, Hygiene and Sterilisation Performing the correct stretch Short-wave Diathermy Galvanic/Blend The Heating Pattern Correct Insertion Techniques The Target Area Unusual Hair Growth FAQ’s Health and Safety Areas Treated This informal and structured weekend will teach all the required techniques necessary to perform successful hair removal treatments. Performed on massage couches, each student will receive guidance on how to effectively perform a full electrolysis treatment on the following areas: Leg Bikini Underarm Nape of Neck Brow Lip Chin Chest The Angel Academy prides itself on always a 100% pass rate for all of its courses since 2003. Classes are kept relatively small so that the tuition can always be of the highest standard. Over the years, all manner of student has come to the Angel Academy from Celebrity to Supermodel to Housewife to Career person looking for a way to relax from the every-day stress and strains that life presents them with.
This course explores ‘What is diabetes’ and the basic anatomy and physiology of what happens to cause diabetes, management, short & long term complications, and caring for someone with diabetes.
This course starts with data transformation strategies, exploring capabilities in the Power Query Editor, and data-cleansing practices. It looks at the Advanced Query Editor to view the M language code. This course focuses on advanced DAX measures that include filtering conditions, with a deep dive into time intelligence measures. Like the M query language, DAX is a rich functional language that supports variables and expression references. This course also looks at the creation of dynamic dashboards and incorporates a range of visualisations available in Power BI Desktop and online in the AppSource. The course finishes with a look at setting up end user level security in tables. 1 The query editor Split by row delimiter AddDays to determine deadlines Advanced query editor 2 Fuzzy matching joins Matching inconsistencies by percentage Matching with transformation table 3 Logical column functions Logical functions IF, AND, OR Using multiple conditions Including FIND in functions 4 Editing DAX measures Make DAX easier to read Add comments to a measure Using quick measures 5 The anatomy of CALCULATE Understanding CALCULATE context filters Adding context to CALCULATE with FILTER Using CALCULATE with a threshold 6 The ALL measure Anatomy of ALL Create an ALL measure Using ALL as a filter Use ALL for percentage 7 DAX iterators Anatomy of iterators A closer look at SUMX Using RELATED in SUMX Create a RANKX RANKX with ALL 8 Date and time functions Overview of functions Create a DATEDIFF function 9 Time intelligent measures Compare historical monthly data Create a DATEADD measure Creating cumulative totals Creating cumulative measures Visualising cumulative totals 10 Visualisations in-depth Utilising report themes Create a heatmap Comparing proportions View trends with sparklines Group numbers using bins Setting up a histogram 11 Comparing variables Visualising trendlines as KPI Forecasting with trendlines Creating a scatter plot Creating dynamic labels Customised visualisation tooltips Export reports to SharePoint 12 User level security Setting up row level security Testing user security
Gain the knowledge and skills to manage ear wax buildup with our "Management of Ear Wax Training" course. Ideal for healthcare professionals.
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