393 Manipulation courses delivered On Demand

Level 3 & 5 Endorsed Diploma | QLS Hard Copy Certificate Included | Plus 5 CPD Courses | Lifetime Access

Level 2 & 3 Endorsed Training | QLS Hard Copy Certificate Included | Plus 5 CPD Courses | Lifetime Access

Delve into the world of data analysis with 'R Programming for Data Science,' a course designed to guide learners through the intricacies of R, a premier programming language in the data science domain. The course opens with a broad perspective on data science, illuminating the pivotal role of R in this field. Learners are then introduced to R and RStudio, equipping them with the foundational tools and interfaces essential for R programming. The curriculum progresses with an introduction to the basics of R, ensuring learners grasp the core principles that underpin more complex operations. A highlight of this course is its in-depth exploration of R's versatile data structures, including vectors, matrices, factors, and data frames. Each unit is crafted to provide learners with a comprehensive understanding of these structures, pivotal for effective data handling and manipulation. The course also emphasizes the importance of relational and logical operators in R, key elements for executing data operations. As the course advances, learners will engage with the nuances of conditional statements and loops, essential for writing efficient and dynamic R scripts. Moving into more advanced territories, the course delves into the creation and usage of functions, an integral part of R programming, and the exploration of various R packages that extend the language's capabilities. Learners will also gain expertise in the 'apply' family of functions, crucial for streamlined data processing. Further units cover regular expressions and effective strategies for managing dates and times in data sets. The course concludes with practical applications in data acquisition, cleaning, visualization, and manipulation, ensuring learners are well-prepared to tackle real-world data science challenges using R. Learning Outcomes Develop a foundational understanding of R's role in data science and proficiency in RStudio. Gain fluency in R programming basics, enabling the handling of complex data tasks. Acquire skills in managing various R data structures for efficient data analysis. Master relational and logical operations for advanced data manipulation in R. Learn to create functions and utilize R packages for expanded analytical capabilities. Why choose this R Programming for Data Science course? Unlimited access to the course for a lifetime. Opportunity to earn a certificate accredited by the CPD Quality Standards and CIQ after completing this course. Structured lesson planning in line with industry standards. Immerse yourself in innovative and captivating course materials and activities. Assessments designed to evaluate advanced cognitive abilities and skill proficiency. Flexibility to complete the 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. Unlock career resources for CV improvement, interview readiness, and job success. Who is this R Programming for Data Science course for? Beginners in data science eager to learn R programming. Data analysts and scientists looking to enhance their skills in R. Researchers in various fields requiring advanced data analysis tools. Statisticians seeking to adopt R for more sophisticated data manipulations. Professionals in finance, healthcare, and other sectors needing data-driven insights. Career path Data Scientist (R Expertise): £30,000 - £70,000 Data Analyst (R Programming Skills): £27,000 - £55,000 Bioinformatics Scientist (R Proficiency): £35,000 - £60,000 Quantitative Analyst (R Knowledge): £40,000 - £80,000 Research Analyst (R Usage): £25,000 - £50,000 Business Intelligence Developer (R Familiarity): £32,000 - £65,000 Prerequisites This R Programming for Data Science does not require you to have any prior qualifications or experience. You can just enrol and start learning.This R Programming for Data Science 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 Unit 01: Data Science Overview Introduction to Data Science 00:01:00 Data Science: Career of the Future 00:04:00 What is Data Science? 00:02:00 Data Science as a Process 00:02:00 Data Science Toolbox 00:03:00 Data Science Process Explained 00:05:00 What's next? 00:02:00 Unit 02: R and RStudio Engine and coding environment 00:03:00 Installing R and RStudio 00:04:00 RStudio: A quick tour 00:04:00 Unit 03: Introduction to Basics Arithmetic with R 00:03:00 Variable assignment 00:04:00 Basic data types in R 00:03:00 Unit 04: Vectors Creating a vector 00:05:00 Naming a vector 00:04:00 Arithmetic calculations on vectors 00:07:00 Vector selection 00:06:00 Selection by comparison 00:04:00 Unit 05: Matrices What's a Matrix? 00:02:00 Analyzing Matrices 00:03:00 Naming a Matrix 00:05:00 Adding columns and rows to a matrix 00:06:00 Selection of matrix elements 00:03:00 Arithmetic with matrices 00:07:00 Additional Materials 00:00:00 Unit 06: Factors What's a Factor? 00:02:00 Categorical Variables and Factor Levels 00:04:00 Summarizing a Factor 00:01:00 Ordered Factors 00:05:00 Unit 07: Data Frames What's a Data Frame? 00:03:00 Creating Data Frames 00:20:00 Selection of Data Frame elements 00:03:00 Conditional selection 00:03:00 Sorting a Data Frame 00:03:00 Additional Materials 00:00:00 Unit 08: Lists Why would you need lists? 00:01:00 Creating a List 00:06:00 Selecting elements from a list 00:03:00 Adding more data to the list 00:02:00 Additional Materials 00:00:00 Unit 09: Relational Operators Equality 00:03:00 Greater and Less Than 00:03:00 Compare Vectors 00:03:00 Compare Matrices 00:02:00 Additional Materials 00:00:00 Unit 10: Logical Operators AND, OR, NOT Operators 00:04:00 Logical operators with vectors and matrices 00:04:00 Reverse the result: (!) 00:01:00 Relational and Logical Operators together 00:06:00 Additional Materials 00:00:00 Unit 11: Conditional Statements The IF statement 00:04:00 IFELSE 00:03:00 The ELSEIF statement 00:05:00 Full Exercise 00:03:00 Additional Materials 00:00:00 Unit 12: Loops Write a While loop 00:04:00 Looping with more conditions 00:04:00 Break: stop the While Loop 00:04:00 What's a For loop? 00:02:00 Loop over a vector 00:02:00 Loop over a list 00:03:00 Loop over a matrix 00:04:00 For loop with conditionals 00:01:00 Using Next and Break with For loop 00:03:00 Additional Materials 00:00:00 Unit 13: Functions What is a Function? 00:02:00 Arguments matching 00:03:00 Required and Optional Arguments 00:03:00 Nested functions 00:02:00 Writing own functions 00:03:00 Functions with no arguments 00:02:00 Defining default arguments in functions 00:04:00 Function scoping 00:02:00 Control flow in functions 00:03:00 Additional Materials 00:00:00 Unit 14: R Packages Installing R Packages 00:01:00 Loading R Packages 00:04:00 Different ways to load a package 00:02:00 Additional Materials 00:00:00 Unit 15: The Apply Family - lapply What is lapply and when is used? 00:04:00 Use lapply with user-defined functions 00:03:00 lapply and anonymous functions 00:01:00 Use lapply with additional arguments 00:04:00 Additional Materials 00:00:00 Unit 16: The apply Family - sapply & vapply What is sapply? 00:02:00 How to use sapply 00:02:00 sapply with your own function 00:02:00 sapply with a function returning a vector 00:02:00 When can't sapply simplify? 00:02:00 What is vapply and why is it used? 00:04:00 Additional Materials 00:00:00 Unit 17: Useful Functions Mathematical functions 00:05:00 Data Utilities 00:08:00 Additional Materials 00:00:00 Unit 18: Regular Expressions grepl & grep 00:04:00 Metacharacters 00:05:00 sub & gsub 00:02:00 More metacharacters 00:04:00 Additional Materials 00:00:00 Unit 19: Dates and Times Today and Now 00:02:00 Create and format dates 00:06:00 Create and format times 00:03:00 Calculations with Dates 00:03:00 Calculations with Times 00:07:00 Additional Materials 00:00:00 Unit 20: Getting and Cleaning Data Get and set current directory 00:04:00 Get data from the web 00:04:00 Loading flat files 00:03:00 Loading Excel files 00:05:00 Additional Materials 00:00:00 Unit 21: Plotting Data in R Base plotting system 00:03:00 Base plots: Histograms 00:03:00 Base plots: Scatterplots 00:05:00 Base plots: Regression Line 00:03:00 Base plots: Boxplot 00:03:00 Unit 22: Data Manipulation with dplyr Introduction to dplyr package 00:04:00 Using the pipe operator (%>%) 00:02:00 Columns component: select() 00:05:00 Columns component: rename() and rename_with() 00:02:00 Columns component: mutate() 00:02:00 Columns component: relocate() 00:02:00 Rows component: filter() 00:01:00 Rows component: slice() 00:04:00 Rows component: arrange() 00:01:00 Rows component: rowwise() 00:02:00 Grouping of rows: summarise() 00:03:00 Grouping of rows: across() 00:02:00 COVID-19 Analysis Task 00:08:00 Additional Materials 00:00:00 Assignment Assignment - R Programming for Data Science 00:00:00

Course Overview: Are you ready to embark on a journey into SQL Programming? Unlock the power of data manipulation and database management with the SQL Programming Masterclass. This comprehensive course is meticulously designed throughout this masterclass to provide you with an in-depth understanding of SQL, starting from the basics and progressing to advanced topics. You will explore SQL data types, filtering and sorting data, working with functions, handle NULL values, and even diving into complex SQL concepts like joins, unions, etc. With a course duration of carefully crafted lessons, this Masterclass ensures you grasp SQL's nuances and develop the proficiency to apply these skills effectively.By the end of the SQL Programming Masterclass, you will be prepared to navigate the world of databases confidently. Enrol in this course today and start your journey! Key Features of the Course: CPD certificate upon completion 24/7 learning assistance and support Who is This Course For? This course is perfect for individuals seeking to enhance their data management and analysis skills. Whether you're a data analyst, database administrator, software developer, or professional looking to upskill, this course will empower you to harness the power of SQL programming. Prior programming experience is not mandatory, making it accessible to beginners and intermediate learners. What You Will Learn: Foundations of SQL programming: Learn the basics of SQL, database management systems, and the tools used in this course, such as PostgreSQL and SQLectron. Data manipulation: Master the art of extracting, filtering, and sorting data based on specific requirements using various SQL keywords and operators. Advanced querying techniques: Dive deeper into SQL programming by exploring functions, grouping and aggregating data, and using advanced query techniques. Data conversion and manipulation: Discover how to convert data types, concatenate strings, manipulate characters and numbers, and utilise case statements for more sophisticated queries. Joining tables: Understand the different types of joins and how to combine data from multiple tables using join operations effectively. Data modification: Learn how to insert, update, and delete records in a database, as well as manage table structures and constraints.Joining tables: Understand the different types of joins and how to combine data from multiple tables using join operations effectively. Views and schemas: Explore the concepts of views and schemas, and learn how to create and use them to organise and present data effectively. Why Enrol in This Course: Top-reviewed course: Join thousands of satisfied learners who have praised this course for its clear explanations, comprehensive content, and examples. Recently updated curriculum: Benefit from the most up-to-date information and industry best practices in SQL programming. In-demand skills: SQL programming is a highly sought-after skill in today's job market, opening up numerous career opportunities across industries. Requirements: No prior programming experience is required. All you need is a computer with an internet connection and a willingness to learn. Career Path: Upon completing the SQL Programming Masterclass, you'll have the knowledge and skills for various career paths, including: Data Analyst - Average UK salary: £35,000 per year Database Administrator - Average UK salary: £40,000 per year Business Intelligence Analyst - Average UK salary: £45,000 per year SQL Developer - Average UK salary: £40,000 per year Data Engineer - Average UK salary: £55,000 per year Software Developer - Average UK salary: £45,000 per year Data Scientist - Average UK salary: £60,000 per year Certification: Upon completing the Hygiene and Infection Control CPD Level 4 course, you will receive a CPD certificate. It demonstrates your commitment to maintaining the highest standards of hygiene and infection control. Course Curriculum 17 sections • 117 lectures • 10:47:00 total length •Introduction: 00:01:00 •Tools Used in This Course: 00:01:00 •Download PostgreSQL: 00:02:00 •Install PostgreSQL: 00:03:00 •Download SQLectron: 00:02:00 •Install SQLectron: 00:01:00 •Connect to PostgreSQL - Credentials: 00:01:00 •Connect to PostgreSQL Using SQLectron: 00:02:00 •Import Course Data Using SQLectron: 00:02:00 •FOR WINDOWS 32-BIT USERS: Download, Install, Configure & Import Data: 00:08:00 •Check Imported Data: 00:06:00 •What is a Database?: 00:01:00 •SQL Data Types: 00:02:00 •Finally Some Fun! Extracting Data Based on Requirements: 00:01:00 •Filtering Data using WHERE Keyword: 00:08:00 •Filter Data by Range Using BETWEEN: 00:03:00 •Filter Data by Set of Values Using IN: 00:03:00 •Filter Data by Date: 00:05:00 •More Filtering by Date: 00:03:00 •Another Query Filtering by Date: 00:01:00 •Filter Data by Strings: 00:04:00 •More Filtering by Strings: 00:05:00 •More Filtering by Strings 2: 00:10:00 •More Filtering by Strings 3: 00:02:00 •How to Ignore Caps when Filtering by String: 00:04:00 •AND Operator: 00:10:00 •OR Operator: 00:12:00 •NOT Operator: 00:09:00 •AND, OR & NOT Operators: Which Has the Highest Priority?: 00:06:00 •Basic Math Operations: 00:06:00 •Modulo Operator: 00:04:00 •Calculate The Net Salary for Employees: 00:06:00 •Filter Data with Math Equations: 00:03:00 •Concatenate Strings with '||' Operator: 00:06:00 •Concatenate Strings with Numbers: 00:02:00 •Give Your Report Fields A Cool Name: 00:04:00 •A Report for Payroll: 00:07:00 •Order Records by Column: 00:06:00 •Order Records by Multiple Columns: 00:12:00 •How Alias Names Cannot Be Used with WHERE: 00:02:00 •LIMIT Record Count Fetched by Your Query: 00:08:00 •Fetch A Field's Unique Values Using DISTINCT: 00:03:00 •Using DISTINCT Keyword with Multiple Columns: 00:06:00 •What is a NULL Value Anyway?: 00:05:00 •Build More Sophisticated Queries with CASE Statements: 00:10:00 •Your Knowledge So Far Under A Great Test: 00:09:00 •Let Me Introduce You to Functions: 00:04:00 •SUM Function: 00:04:00 •AVG (Average) Function: 00:04:00 •COUNT Function: 00:07:00 •MIN & MAX Functions: 00:04:00 •How To Count Your Field's Unique Values: 00:04:00 •GROUP BY Clause: Use Functions with Dimensions: 00:06:00 •GROUP BY More Than One Dimension: 00:05:00 •Now For Some Tough Workout: 00:09:00 •Filter By Aggregate Functions with HAVING Clause: 00:08:00 •Character Functions - UPPER, LOWER & INITCAP: 00:08:00 •Character Functions - CONCAT & LENGTH: 00:10:00 •Character Functions - LPAD & RPAD: 00:13:00 •Character Functions - TRIM: 00:04:00 •Character Functions - REPLACE: 00:09:00 •Character Functions - SUBSTR: 00:10:00 •Number Functions - MOD & ROUND: 00:11:00 •Number Functions - TRUNC: 00:07:00 •Selectception: A Select Query inside another Select Query!: 00:06:00 •Auto Data Conversion in SQL: 00:11:00 •Cast Date to Character: 00:10:00 •Cast Number to Character: 00:09:00 •Cast Timestamp to Character: 00:07:00 •Cast Character to Number: 00:08:00 •Cast Character to Date & Timestamp: 00:09:00 •UNION: 00:03:00 •UNION ALL: 00:02:00 •Important Note about Combining Queries: 00:02:00 •INTERSECT: 00:01:00 •EXCEPT: 00:01:00 •Employees & Departments Tables Revised: 00:03:00 •Entity Relationship Diagram (ERD): 00:09:00 •Cartesian Join: 00:09:00 •Table Aliases with Joins: 00:07:00 •Why I Don't Recommend Cartesian Joins: 00:08:00 •Inner Join: 00:06:00 •In-Depth Look into Join Types in SQL: 00:03:00 •Outer Join - Right, Left & Full: 00:08:00 •INSERT a New Record to a Table: 00:09:00 •Insert Without Specifying Column Names: 00:09:00 •UPDATE a Record's Field Values: 00:07:00 •CAUTION! How an UPDATE Query Can Go Wrong: 00:04:00 •Update a Record Using Single-Row Functions: 00:04:00 •A Good Exercise: Extract Employee's Email Address: 00:02:00 •Solution: Extract Employee's Email Address: 00:13:00 •DELETE a Table's Record: 00:06:00 •Insert Records with Nested Select Queries: 00:06:00 •SQL Data Types Revised: 00:13:00 •Bookstore Data Set: Let's Move It to Database: 00:04:00 •Create Your First Table!: 00:08:00 •Insert Data to Your New Table: 00:08:00 •Change Column Data Type: 00:07:00 •Rename Column: 00:04:00 •Add a New Column to Table: 00:04:00 •Constraints in SQL: 00:01:00 •Primary Keys: 00:14:00 •NOT NULL Constraint: 00:05:00 •UNIQUE Constraint: 00:04:00 •DEFAULT Constraint: 00:04:00 •Foreign Keys: 00:08:00 •Use Foreign Keys with Joins - Books & Publishers: 00:06:00 •Foreign Keys - Properties: 00:06:00 •Drop Column: 00:01:00 •DROP Table: 00:01:00 •Create a New Table with Select Statement: 00:05:00 •A Trick to Create an Empty Table with Select Statement: 00:03:00 •Insert New Records Using Select Statement: 00:06:00 •Views: 00:03:00 •Schemas: 00:02:00 •Create & Use Schemas: 00:04:00 •Resources - SQL Programming Masterclass: 00:00:00

Level 4 Diploma(FREE QLS Endorsed Certificate)| 11 CPD Courses+11 PDF Certificates| 140 CPD Points|CPD & CiQ Accredited

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Python Programming: Beginner To Expert Overview Unfold the potential within you, and embark on a journey of mastering Python programming - from the fundamental building blocks to the pinnacle of expertise. This comprehensive course, crafted with meticulous care, empowers you to transform from a curious novice to a confident coding maestro, wielding Python's power with finesse. Within these engaging modules, you'll delve into the core principles of Python, meticulously exploring data types, operators, control flow, and functions. As your proficiency blossoms, you'll conquer advanced topics like object-oriented programming, powerful libraries like NumPy and Pandas, and the art of crafting polished scripts. But this journey isn't merely about acquiring technical prowess; it's about unlocking a world of possibilities. By the course's end, you'll be equipped to embark on a rewarding career path, armed with the skills to tackle real-world challenges in diverse domains - from data analysis and web development to scientific computing and automation. Learning Outcomes Gain a solid foundation in Python syntax, data structures, and control flow mechanisms. Master essential functions, user input, and error-handling techniques. Explore advanced data types, object-oriented programming concepts, and popular libraries like NumPy and Pandas. Craft polished, reusable Python scripts for various applications. Confidently navigate the Python ecosystem and continuously expand your knowledge. Why You Should Choose Python Programming: Beginner To Expert Lifetime access to the course No hidden fees or exam charges CPD Accredited certification on successful completion Full Tutor support on weekdays (Monday - Friday) Efficient exam system, assessment and instant results Download Printable PDF certificate immediately after completion Obtain the original print copy of your certificate, dispatch the next working day for as little as £9. Improve your chance of gaining professional skills and better earning potential. Who is this Course for? Python Programming: Beginner To Expert is CPD certified and IAO accredited. This makes it perfect for anyone trying to learn potential professional skills. As there is no experience and qualification required for this course, it is available for all students from any academic backgrounds. Requirements Our Python Programming: Beginner To Expert is fully compatible with any kind of device. Whether you are using Windows computer, Mac, smartphones or tablets, you will get the same experience while learning. Besides that, you will be able to access the course with any kind of internet connection from anywhere at any time without any kind of limitation. Career Path You will be ready to enter the relevant job market after completing this course. You will be able to gain necessary knowledge and skills required to succeed in this sector. All our Diplomas' are CPD and IAO accredited so you will be able to stand out in the crowd by adding our qualifications to your CV and Resume. Python Programming: Beginner To Expert Module 01: Introduction to Python Programming from A-Z Intro To Python Section Overview 00:06:00 What is Python Programming? 00:10:00 Who is This Course For? 00:05:00 Python Programming Marketplace 00:06:00 Python Job Opportunities 00:05:00 How To Land a Python Job Without a Degree 00:08:00 Python Programmer Job Roles 00:09:00 Python from A-Z Course Structure 00:04:00 Module 02: Getting Familiar with Python Getting Familiar with Python Section Overview 00:06:00 Installing Python on Windows 00:10:00 Anaconda and Jupyter Notebooks Part 1 00:08:00 Anaconda and Jupyter Notebooks Part 2 00:16:00 Comments 00:05:00 Python Syntax 00:02:00 Line Structure 00:03:00 Line Structure Exercise 00:07:00 Joining Lines 00:05:00 Multiple Statements on a Single Line 00:05:00 Indentation 00:08:00 Module 03: Basic Data Types Basic Data Types Section Overview 00:08:00 String Overview 00:10:00 String Manipulation 00:07:00 String Indexing 00:04:00 String Slicing 00:08:00 Printing 00:10:00 Python Variables 00:08:00 Integers and Floats 00:08:00 Booleans 00:02:00 Mini Project 1 : Letter Counter 00:20:00 Module 04: Python Operators Python Operators Section Overview 00:04:00 Comparison Operators 00:09:00 Arithmetic Operators 00:08:00 Assignment Operators 00:05:00 Logical Operators 00:13:00 Identity Operators 00:05:00 Membership Operators 00:02:00 Bitwise Operators 00:08:00 Module 05: Advanced Data Types Python Advanced Data Types Section Overview 00:11:00 Sets 00:06:00 List Overview 00:05:00 List Slicing and Indexing 00:04:00 Tuples 00:02:00 Dictionaries 00:11:00 When to use each one? 00:05:00 Compound Data Types 00:03:00 Module 06: Control Flow Part 1 Control Flow Part 1 Section Overview 00:15:00 Intro to Control Flow 00:01:00 Basic Conditional Statements 00:14:00 More Conditional Statements 00:05:00 For Loops 00:10:00 While Loops 00:12:00 Module 07: Control Flow Part 2 Control Flow Part 2 Section Overview 00:02:00 Break Statements 00:08:00 Continue Statements 00:05:00 Zip Function 00:07:00 Enumerate Function 00:04:00 List Comprehension 00:04:00 Module 08: Python Functions Python Functions Section Overview 00:03:00 Intro to Functions 00:02:00 Python help Function 00:03:00 Defining Functions 00:09:00 Variable Scope 00:08:00 Doc Strings 00:04:00 Module 09: User Input and Error Handling User Input and Error Handling Section Overview 00:02:00 Introduction to error handling 00:03:00 User Input 00:04:00 Syntax Errors 00:04:00 Exceptions 00:11:00 Handling Exceptions Part 1 00:08:00 Handling Exceptions Part 2 00:08:00 Module 10: Python Advanced Functions Python Advanced Functions Section Overview 00:05:00 Lambda Functions 00:05:00 Functions args and kwargs 00:10:00 Iterators 00:08:00 Generators and Yield 00:12:00 Map Function 00:14:00 Filter Function 00:08:00 Module 11: Python Scripting and Libraries Python Scripting and Libraries Section Overview 00:05:00 What is a script? 00:01:00 What is an IDE? 00:17:00 What is a text editor? 00:12:00 From Jupyter Notebook to VScode Part 1 00:15:00 From Jupyter Notebook to VScode Part 2 00:05:00 Importing Scripts 00:03:00 Standard Libraries 00:04:00 Third Party Libraries 00:06:00 Module 12: NumPy NumPy Section Overview 00:04:00 Why use NumPy? 00:04:00 NumPy Arrays 00:10:00 Reshaping, Accessing, and Modifying 00:07:00 Slicing and Copying 00:06:00 Inserting, Appending, and Deleting 00:10:00 Array Logical Indexing 00:04:00 Broadcasting 00:08:00 Module 13: Pandas Intro to Pandas 00:17:00 Pandas Series 00:17:00 Pandas Series Manipulation 00:17:00 Pandas DataFrame 00:17:00 Pandas DataFrame Manipulation 00:13:00 Dealing with Missing Values 00:10:00 Module 14: Introduction to OOP Functional vs OOP 00:06:00 OOP Key Definitions 00:04:00 Create your First Class 00:12:00 How to Create and Use Objects 00:06:00 How to Modify Attributes 00:12:00 Module 15: Advanced OOP Python Decorators 00:27:00 Property Decorator 00:09:00 Class Method Decorator 00:07:00 Static Methods 00:10:00 Inheritance from A to Z 00:21:00 Module 16: Starting a Career in Python Getting Started with Freelancing 00:09:00 Building A Brand 00:12:00 Personal Branding 00:13:00 Importance of Having Website/Blog 00:04:00 Do's and Don'ts of Networking 00:06:00 Creating A Python Developer Resume 00:06:00

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This course is designed to cover the framework of international cooperation in the fight against financial crimes. The course provides insight into various international platforms involved in this global effort, including the European Union, the United Nations, and the FATF. From this perspective, the course covers multiple topics, including market abuse and market manipulation, corruption, and money laundering. Also, the course presents an analysis on various global financial crime risk management challenges. After the successful completion of this course, the learner will be able to; Understand the framework of international cooperation in the fight against financial crimes. Understand the European Union anti-money laundering regulatory landscape. Understand The united nations' anti-money laundering regulatory landscape. Reflect on The EU Market abuse regulation. Understand the intergovernmental anti-money laundering regulatory landscape. Reflect on various global financial crime risk management challenges. This course is designed to cover the framework of international cooperation in the fight against financial crimes. VIDEO - Course Structure and Assessment Guidelines Watch this video to gain further insight. Navigating the MSBM Study Portal Watch this video to gain further insight. Interacting with Lectures/Learning Components Watch this video to gain further insight. Understanding Global Framework Of The Fight Against Financial Crimes Self-paced pre-recorded learning content on this topic. QUIZ: Understanding Global Framework Of The Fight Against Financial Crimes Put your knowledge to the test with this quiz. Read each question carefully and choose the response that you feel is correct. All MSBM courses are accredited by the relevant partners and awarding bodies. Please refer to MSBM accreditation in about us for more details. There are no strict entry requirements for this course. Work experience will be added advantage to understanding the content of the course.The certificate is designed to enhance the learner's knowledge in the field. This certificate is for everyone eager to know more and gets updated on current ideas in their respective field. We recommend this certificate for the following audience. Compliance specialists Compliance officers Financial advisors and managers Banking professionals Accountants Real estate agents Insurance professionals Legal advisors. Law practitioners. Contract specialists. Legal officers. Contract managers. Business developers. Law lecturers. Business lecturers. Legal and business researchers. Average Completion Time 2 Weeks Accreditation 1 CPD Hour Level Advanced Start Time Anytime 100% Online Study online with ease. Unlimited Access 24/7 unlimited access with pre-recorded lectures. Low Fees Our fees are low and easy to pay online.