26 Discrimination courses in London delivered Live Online

Overview The Equality and Diversity, Inclusion training focus on key areas where equality covers areas with people's rights and law covering diversity, handling and eradicating unlawful discrimination with the motive to have an efficient workflow environment. This is very challenging and requires a lot of knowledge, skills and understanding along with interpersonal skills to carry on Equality and Diversity.

There are a number of reasons why it is important to actively promote equality and diversity within your business and the wider community, not only to ensure compliance with anti-discrimination legislation and professional regulations, including the SRA Standards & Regulations. There will also be business benefits to the organisation including attracting and retaining talented staff, improving staff morale, potentially accessing a wider client base and enhancing service levels and client satisfaction. Join us for this useful overview session on equality, diversity & inclusion which will cover the following points; The Meaning of Equality Discrimination Harassment & Victimisation Unconscious Bias The Equality Act & the Protected Characteristics Reasonable Adjustments Complying with E&D requirements Target Audience This online course is suitable for staff of all levels, from support staff to senior partners. Resources Comprehensive and up to date course notes will be provided to all delegates which may be useful for ongoing reference or cascade training. Please note a recording of the course will not be made available. Speaker Amie Higgins, Consultant, DG Legal Amie is a Senior Solicitor, qualified under the Law Society’s Immigration & Asylum Accreditation Scheme (IAAS) as an Advanced Caseworker and Supervisor. Amie specialises in all aspects of Immigration, Asylum and Human Rights work, with a specialism in human trafficking/modern slavery cases and working with vulnerable clients. Amie is an experienced trainer, delivering a range of training on both legal and practice management topics.

Our Equality and Diversity Training course covers the Equality Act 2010 and discusses the details relating to discrimination as well as unfair treatment within a professional environment.

The main subject areas of the course are: Controlling the health risks of asbestos. Sample handling and waste disposal. Identification of asbestos by PLM. Gravimetric quantification of asbestos-containing materials. Discrimination and quantification of free fibres by dispersion and PCM. Analysis of soils - practical application.

Autoskool Driving School offers you a very competitive rate of Automatic driving lessons with a quality service to match. We also offer you a simple price structure, we don’t believe in charging you extra during the evening or the weekend. Our lessons are conducted on a 1-1 basis and we will give you a full two hour lesson. We accept payment via PayPal, credit card over the phone or you can pay cash to the instructor on the day of your lesson.

Equality is everyone’s right and everyone’s responsibility’. This training promotes the requirements of the Equality and Diversity Act. This session will strengthen understanding of Equality & Diversity.

Stress, self-care, and wellbeing conversation starters. This is a short 2-hour session to provide learners with tools to take better care of themselves, have the confidence to discuss mental wellbeing and know where to find tools and resources for assistance.

Data Ethics for Business Professionals is designed for individuals who are seeking to demonstrate an understanding of the ethical uses of data in business settings.

These events are designed to introduce the BOOK & basic ideas behind Understanding & Dealing with Everyday Racism The Six Stages Framework

Regular expressions training course description Regular expressions are an extremely powerful tool for manipulating text and data. They are now standard features in a wide range of languages and popular tools, including Python and MySQL. Regular expressions allow you to code complex and subtle text processing that you never imagined could be automated. Once you've mastered regular expressions, they'll become an invaluable part of your toolkit. You will wonder how you ever got by without them. What will you learn Use Regular Expressions. Troubleshoot Regular Expressions. Compare RE features among different versions. Explain how the regular expression engine works. Optimize REs. Match what you want, not what you don't want. Regular expressions training course details Who will benefit: Anyone looking to use regular expressions. Prerequisites: None. Duration 1 day Regular expressions training course contents Introduction to Regular Expressions Solving real problems, REs as a language, the filename analogy, language analogy, RE frame of mind, searching text files: egrep, egrep metacharacters, start and end of the line, character classes, matching any character with dot, alternation, ignoring differences in capitalization, word boundaries, optional items, other quantifiers: repetition, parentheses and backreferences, the great escape, expanding the foundation, linguistic diversification, the goal of a RE, more examples, RE nomenclature, Improving on the status quo. Extended introductory examples A short introduction to Perl, matching text with regular expressions, toward a more real-world example, side effects of a successful match, Intertwined regular expression, intermission, modifying text with regular expressions, example: form letter, example: prettifying a stock price, automated editing, a small mail utility, adding commas to a number with lookaround, text-to-HTML conversion, that doubled-word thing. Regular expression features and flavours The regex landscape, origins of REs, care and handling of REs, Integrated handling, procedural and object-oriented handling, search-and-replace example. strings character encodings and modes, strings as REs, character-encoding issues, unicode, regex modes and match modes, common metacharacters and features, character representations, character classes and class-like constructs, anchors and other 'zero-width assertions', comments and mode modifiers, grouping capturing conditionals and control. The mechanics of expression processing Two kinds of engines, new standards, regex engine types, from the department of redundancy department, testing the engine type, match basics, about the examples, rule 1: the match that begins earliest wins, engine pieces and parts, rule 2: the standard quantifiers are greedy, regex-directed versus text-directed, NFA engine: regex-directed, DFA engine: text-directed, first thoughts: NFA and DFA in comparison, backtracking, two important points on backtracking, saved states, backtracking and greediness, more about greediness and backtracking, problems of greediness, multi-character 'quotes', lazy quantifiers, greediness and laziness, laziness and backtracking, possessive quantifiers and atomic grouping, possessive quantifiers ?, +, *+, ++ and {m,n}+, the backtracking of lookaround, is alternation greedy? taking advantage of ordered alternation, NFA DFA and posix, the longest-leftmost', posix and the longest-leftmost rule, speed and efficiency. Practical regex techniques Continuation lines, matching an IP address, working with filenames, matching balanced sets of parentheses, watching out for unwanted matches, matching delimited text, knowing your data and making assumptions, stripping leading and trailing whitespace, matching and HTML tag, matching an HTML link, examining an HTTP URL, validating a hostname, plucking a hostname, plucking a URL, parsing CSV files. Crafting an efficient expression Efficiency vs. correctness, localizing greediness, global view of backtracking, more work for POSIX NFA, work required during a non-match, being more specific, alternation can be expensive, benchmarking, know what you re measuring, benchmarking with Python, common optimisations, the mechanics of regex application, pre-application optimizations, optimizations with the transmission, optimization of the regex itself, techniques for faster expressions, common sense techniques, expose literal text, expose anchors, lazy versus greedy: be specific, split into multiple REs, mimic initial-character discrimination, use atomic grouping and possessive quantifiers, lead the engine to a match, unrolling the loop, observations, using atomic grouping and possessive quantifiers, short unrolling examples, unrolling C comments, the free flowing regex, a helping hand to guide the match, a well-guided regex is a fast regex.