254 Matrix courses in Bristol delivered Online

Overview This comprehensive course on R Programming for Data Science will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This R Programming for Data Science comes with accredited certification from CPD, which will enhance your CV and make you worthy in the job market. So enrol in this course today to fast track your career ladder. How will I get my certificate? You may have to take a quiz or a written test online during or after the course. After successfully completing the course, you will be eligible for the certificate. Who is This course for? There is no experience or previous qualifications required for enrolment on this R Programming for Data Science. It is available to all students, of all academic backgrounds. Requirements Our R Programming for Data Science is fully compatible with PC's, Mac's, Laptop, Tablet and Smartphone devices. This course has been designed to be fully compatible with tablets and smartphones so you can access your course on Wi-Fi, 3G or 4G. There is no time limit for completing this course, it can be studied in your own time at your own pace. Career Path Having these various qualifications will increase the value in your CV and open you up to multiple sectors such as Business & Management, Admin, Accountancy & Finance, Secretarial & PA, Teaching & Mentoring etc. Course Curriculum 23 sections • 129 lectures • 06:25:00 total length •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?: 00:01:00 •Engine and coding environment: 00:03:00 •Installing R and RStudio: 00:04:00 •RStudio: A quick tour: 00:04:00 •Arithmetic with R: 00:03:00 •Variable assignment: 00:04:00 •Basic data types in R: 00:03:00 •Creating a vector: 00:05:00 •Naming a vector: 00:04:00 •Vector selection: 00:06:00 •Selection by comparison: 00:04:00 •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 •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 •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 •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 •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 •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 •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 •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 •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 •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 •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 •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 •Mathematical functions: 00:05:00 •Data Utilities: 00:08:00 •Additional Materials: 00:00:00 •grepl & grep: 00:04:00 •Metacharacters: 00:05:00 •sub & gsub: 00:02:00 •More metacharacters: 00:04:00 •Additional Materials: 00:00:00 •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 •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 •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 •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 - R Programming for Data Science: 00:00:00

Work Breakdown Structures: In-House Training It's amazing how often project managers begin the project planning process by making an outlined list of every task they believe will be required to complete a project and then proclaim they have created the work breakdown structure (WBS) for the project. The result is a list of hundreds, or even thousands of tasks, many of them having durations of a few days or a few hours. Essentially, what they have done is create a 'to do' list, which they then use as a 'checklist' to measure progress. This approach leads to, and even encourages, micromanagement of the resources working on the project without consideration of more critical aspects of project management such as: requirements management, risk management, procurement management, estimating, scheduling, executing, and controlling. Further, it makes it impossible to see the big picture, at levels of detail, in keeping with the needs of sponsors, clients, project and functional managers, team leaders, and project performers. Join us for this exciting program and learn how to use the WBS to make better-informed business decisions. What You Will Learn You will learn how to: Describe the need for a project WBS Describe the WBS role in the project Gain practical experience in the development, decomposition, and use of the WBS Determine the appropriate level of detail in the WBS. Explain how the WBS integrates with project requirements, risk, procurement, estimating, scheduling, and overall project execution. Provide the basic tools to enhance efficient re-use of key information in your future projects Foundation Concepts Key definitions History of the WBS Importance of the WBS Overall structure Terminology Other breakdown structures WBS tools WBS & Scope Project scope management processes Specification of the project objectives WBS design based on project deliverable WBS decomposition process and 'The 100% rule' Work Packages and Control Accounts WBS & Risk Risk management planning and WBS Risk identification to enhance the WBS Risk analysis and the WBS Risk responses and updating the WBS Implementing risk response and Monitoring risks and the WBS WBS & Estimating Use of WBS in the estimating process Components and work packages Sizing and algorithmic estimates WBS & Scheduling Component Scheduling - High-Level Milestones WBS activity decomposition WBS elements dependencies Work Package Level Schedules Responsibility assignment matrix WBS & Execution and Control Earned Value Management and tracking of work performance Progress reports, forecasts, and corrective and preventive actions used to manage work performance Necessary information to close out a project

In this course, you will learn how to create vehicles using 100% blueprints and ready-to-use Unreal Engine 5 assets. You will see how you can import your own assets from Blender, Maya, or Max and set them up. This course is meant for intermediate and expert users of Unreal Engine 5 as the basics of Unreal Engine 5 won't be covered.

This course teaches you data analysis and visualisation using the versatile R language. From understanding data structures to performing advanced statistical analysis, this course equips you with the skills to extract meaningful insights from complex datasets. This Course At A Glance Accredited by CPD UK Endorsed by Quality Licence Scheme Get a deep understanding of data science, the process and the toolbox Learn about R and Rstudio Get an introduction to the basic data types in R Learn to perform arithmetic calculations on vectors Understand what is a matrix and how to analyse it Know what is factors and how to summarise it Recognise how to create a data frame Get an understanding of the relational and logical operators Learn what is a conditional statement and how to implement the same Learn about loops, functions and R packages Understand data manipulation with dplyr Data Science Course with R Programming Course Overview This comprehensive data science with R programming course is specially designed for those who are willing to get a better understanding of R programming and data science to gain proficiency in the same. This online course will help you strengthen your knowledge of data science, R and Rstudio, basics, vectors and much more. This online data science with R programming course will also help you acquire knowledge about the Matrices, factors, data frame, list, logical and relational operations and conditional statements. You will also gain an understanding of the advanced features like loops, functions R packages, regular expressions, etc., to master R language and data science. By the end of the course, you will be able to write R programmes efficiently and be able to analyse data. You will also develop the skills to become a successful data scientist or data analyst after completing this course. Who should take this course? This comprehensive data science with R programming course is suitable for anyone looking to improve their job prospects or aspiring to accelerate their career in this sector and want to gain in-depth knowledge of R programming. Entry Requirements There are no academic entry requirements for this data science with r programming course, and it is open to students of all academic backgrounds. However, you are required to have a laptop/desktop/tablet or smartphone and a good internet connection. Assessment Method This data science with r programming course assesses learners through multiple-choice questions (MCQs). Upon successful completion of the modules, learners must answer MCQs to complete the assessment procedure. Through the MCQs, it is measured how much a learner can grasp from each section. In the assessment pass mark is 60%. Course Curriculum Data Science Overview Introduction to Data Science Data Science Career of the Future What is Data Science Data Science As a Process Data Science Toolbox Data Science Process Explained What's Next R and RStudio Engine and Coding Environment Installing R and RStudio RStudio a Quick Tour Introduction to Basics Arithmetic With R Variable Assignment Basic Data Types in R Vectors Creating a Vector Naming a Vector Arithmetic Calculations on Vectors Vector Selection Selection by Comparison Matrices What's a Matrix Analyzing Matrices Naming a Matrix Adding Columns and Rows to a Matrix Selection of Matrix Elements Arithmetic with Matrices Factors What's a Factor Categorical Variables and Factor Levels Summarizing a Factor Ordered Factors Data Frames What's a Data Frame Creating a Data Frame Selection of Data Frame Elements Conditional Selection Sorting a Data Frame Lists Why Would You Need Lists Creating a List Selecting Elements From a List Adding More Data to The List Relational Operators Equality Greater and Less Than Compare Vectors Compare Matrices Logical Operators AND, OR, NOT Operators Logical Operators with Vectors and Matrices Reverse The Result Relational and Logical Operators Together Conditional Statements The IF Statement IF…ELSE The ELSEIF Statement Loops Write a While Loop Looping with More Conditions Break Stop The While Loop What's a For Loop. Loop Over a Vector Loop Over a List Loop Over a Matrix For Loop with Conditionals Using Next and Break with For Loop Functions What Is a Function. Arguments Matching Required and Optional Arguments Nested Functions Writing Own Functions Functions with No Arguments Defining Default Arguments in Functions Function Scoping Control Flow in Functions R Packages Installing R Packages Loading R Packages Different Ways to Load a Package The Apply Family - Lapply What Is Lapply and When Is Used. Use Lapply with User-Defined Functions Lapply and Anonymous Functions Use Lapply with Additional Arguments The Apply Family - Sapply & Vapply What Is Sapply. How to Use Sapply. Sapply with Your Own Function Sapply with a Function Returning a Vector When Can't Sapply Simplify. What Is Vapply and Why Is It Used. Useful Functions Mathematical Functions Data Utilities Regular Expressions Grepl & Grep Metacharacters Sub & Gsub More Metacharacters Dates And Times Today and Now Create and Format Dates Create and Format Times Calculations with Dates Calculations with Times Getting and Cleaning Data Get and Set Current Directory Get Data From The Web Loading Flat Files Loading Excel Files Plotting Data in R Base Plotting System Base Plots Histograms Base Plots Scatterplots Base Plots Regression Line Base Plots Boxplot Data Manipulation With dplyr Introduction to dplyr Package Using The Pipe Operator (%>%) Columns Component Select() Columns Component Rename() and Rename_with() Columns Component Mutate() Columns Component Relocate() Rows Component Filter() Rows Component Slice() Rows Component Arrange() Rows Component Rowwise() Grouping of Rows Summarise() Grouping of Rows Across() Covid-19 Analysis Task Assessment Assessment - Data Science Course with R Programming Recognised Accreditation CPD Certification Service This course is accredited by continuing professional development (CPD). CPD UK is globally recognised by employers, professional organisations, and academic institutions, thus a certificate from CPD Certification Service creates value towards your professional goal and achievement. CPD certificates are accepted by thousands of professional bodies and government regulators here in the UK and around the world. Many organisations look for employees with CPD requirements, which means, that by doing this course, you would be a potential candidate in your respective field. Quality Licence Scheme Endorsed The Quality Licence Scheme is a brand of the Skills and Education Group, a leading national awarding organisation for providing high-quality vocational qualifications across a wide range of industries. It will give you a competitive advantage in your career, making you stand out from all other applicants and employees.     Certificate of Achievement Endorsed Certificate from Quality Licence Scheme After successfully passing the MCQ exam you will be eligible to order the Endorsed Certificate by Quality Licence Scheme. The Quality Licence Scheme is a brand of the Skills and Education Group, a leading national awarding organisation for providing high-quality vocational qualifications across a wide range of industries. It will give you a competitive advantage in your career, making you stand out from all other applicants and employees. There is a Quality Licence Scheme endorsement fee to obtain an endorsed certificate which is £65. Certificate of Achievement from Lead Academy After successfully passing the MCQ exam you will be eligible to order your certificate of achievement as proof of your new skill. The certificate of achievement is an official credential that confirms that you successfully finished a course with Lead Academy. Certificate can be obtained in PDF version at a cost of £12, and there is an additional fee to obtain a printed copy certificate which is £35. FAQs Is CPD a recognised qualification in the UK? CPD is globally recognised by employers, professional organisations and academic intuitions, thus a certificate from CPD Certification Service creates value towards your professional goal and achievement. CPD-certified certificates are accepted by thousands of professional bodies and government regulators here in the UK and around the world. Are QLS courses recognised? Although QLS courses are not subject to Ofqual regulation, they must adhere to an extremely high level that is set and regulated independently across the globe. A course that has been approved by the Quality Licence Scheme simply indicates that it has been examined and evaluated in terms of quality and fulfils the predetermined quality standards. When will I receive my certificate? For CPD accredited PDF certificate it will take 24 hours, however for the hardcopy CPD certificate takes 5-7 business days and for the Quality License Scheme certificate it will take 7-9 business days. Can I pay by invoice? Yes, you can pay via Invoice or Purchase Order, please contact us at info@lead-academy.org for invoice payment. Can I pay via instalment? Yes, you can pay via instalments at checkout. How to take online classes from home? Our platform provides easy and comfortable access for all learners; all you need is a stable internet connection and a device such as a laptop, desktop PC, tablet, or mobile phone. The learning site is accessible 24/7, allowing you to take the course at your own pace while relaxing in the privacy of your home or workplace. Does age matter in online learning? No, there is no age limit for online learning. Online learning is accessible to people of all ages and requires no age-specific criteria to pursue a course of interest. As opposed to degrees pursued at university, online courses are designed to break the barriers of age limitation that aim to limit the learner's ability to learn new things, diversify their skills, and expand their horizons. When I will get the login details for my course? After successfully purchasing the course, you will receive an email within 24 hours with the login details of your course. Kindly check your inbox, junk or spam folder, or you can contact our client success team via info@lead-academy.org

This course provides a holistic perspective on market planning by examining both external and internal environments. From dissecting industry competitiveness using Porter's Five Forces to strategic analysis with McKinsey's Seven S Model, participants will gain insights into the intricacies of effective marketing strategies. After the successful completion of the course, you will be able to learn about the following, Develop the ability to define and understand the components of the marketing environment. Acquire knowledge and skills related to implementing innovation in marketing strategies. Gain proficiency in conducting PESTLE analysis to assess external factors influencing business environments. Understand and apply the BCG matrix for strategic analysis of a product or business portfolio. Develop a comprehensive understanding of Porter's Five Forces model for analyzing industry competitiveness. Explore the role of marketing in Corporate Social Responsibility (CSR) initiatives. Familiarize yourself with McKinsey's Seven S Model for organizational analysis and strategic planning. Discover the nuances of the marketing environment with a focus on PESTLE analysis and strategic innovation. Dive into tools like the BCG matrix for product portfolio evaluation and explore the role of marketing in Corporate Social Responsibility (CSR). This course ensures a well-rounded understanding of essential frameworks for designing impactful marketing plans. This course empowers participants to navigate the complexities of marketing by examining external and internal dynamics. From mastering PESTLE analysis for environmental assessment to leveraging McKinsey's Seven S Model for strategic planning, participants will acquire the expertise needed for diverse roles, including Marketing Strategist, CSR Manager, and Market Analyst. 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 External and Internal Environment for designing a market plan Self-paced pre-recorded learning content on this topic. External and Internal Environment for Designing a Market Plan 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 get updated on current ideas in their respective field. We recommend this certificate for the following audience. Marketing Strategist Market Analyst Corporate Social Responsibility Manager Strategic Planner Innovation Specialist Product Portfolio Manager Industry Analyst Marketing Environment Analyst Average Completion Time 2 Weeks Accreditation 3 CPD Hours 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.

EFQM Performance Improvement Practitioner Course A 2-day deep-dive workshop on RADAR and how to use it as an agile project performance framework. The essential course for anyone wanting to learn more about the RADAR logic and how to build a continuous improvement culture and mindset across your whole organisation.   Who is it for? This course is suitable for anyone who wants to understand the RADAR logic and how it can be used to make their organisation more effective. Whilst this training is effective as a stand-alone course; it is also a Level 1 option for anyone considering one of the EFQM qualification routes as a way of progressing their management development and career.   Benefits By the end of the course, participants will be able to: Explain the overall RADAR logic Explain the main principles of positive culture and mindset for driving performance Describe how RADAR can be implemented into an organisation to improve performance at every level Identify how to use RADAR to drive the management agenda Apply RADAR across day-to-day initiatives and key projects as an agile project performance framework. Programme The main topics covered during the EFQM Performance Improvement Practitioner training are: RADAR logic and examples of how it can be used Using RADAR to drive the management agenda Using RADAR to drive strategic initiatives Using RADAR to set up strategic KPI’s RADAR as a Performance Improvement Framework Case studies and group exercises RADAR Improvement Matrix self-assessment The training is spread over two days and is delivered in a virtual classroom setting (Zoom or Microsoft Teams), using videos, group discussions, case studies and activities in breakout rooms and presentations from the trainer.   Further Development The EFQM Performance Improvement Practitioner training provides core knowledge about the RADAR Logic. In some cases, the training will have fulfilled an individual's learning needs. In many cases, the individual will want to consolidate their learning by applying the theory to a practical task. We encourage you to apply RADAR to a practical, work-based project, and we provide guidance on how to approach and complete your project.    Completion of the RADAR Performance Improvement Project also allows you to progress to one of the advanced EFQM qualification programmes: EFQM Performance Improvement Leader, EFQM Assessor or EFQM Organisational Change Leader.   EFQM Performance Improvement Leader If you successfully complete the EFQM Performance Improvement Practitioner training and the subsequent project, you are invited to apply for the EFQM Performance Improvement Leader assessment. You will be guided and coached by an EFQM trainer and asked to present your project to the EFQM expert panel. Here you will answer questions about how you applied the RADAR logic and principles (we provide participants with templates for running the project, as well as a high-level mid-term review). You will also receive feedback on how to improve and maximise the use of RADAR for future endeavours. Dates and time: This is a two day on-line workshop delivered on the 12th of June & 18th of June from 9:00 AM to 3:30 PM GMT Cost: £1000 + VAT

Work Breakdown Structures: Virtual In-House Training It's amazing how often project managers begin the project planning process by making an outlined list of every task they believe will be required to complete a project and then proclaim they have created the work breakdown structure (WBS) for the project. The result is a list of hundreds, or even thousands of tasks, many of them having durations of a few days or a few hours. Essentially, what they have done is create a 'to do' list, which they then use as a 'checklist' to measure progress. This approach leads to, and even encourages, micromanagement of the resources working on the project without consideration of more critical aspects of project management such as: requirements management, risk management, procurement management, estimating, scheduling, executing, and controlling. Further, it makes it impossible to see the big picture, at levels of detail, in keeping with the needs of sponsors, clients, project and functional managers, team leaders, and project performers. Join us for this exciting program and learn how to use the WBS to make better-informed business decisions. What You Will Learn You will learn how to: Describe the need for a project WBS Describe the WBS role in the project Gain practical experience in the development, decomposition, and use of the WBS Determine the appropriate level of detail in the WBS. Explain how the WBS integrates with project requirements, risk, procurement, estimating, scheduling, and overall project execution. Provide the basic tools to enhance efficient re-use of key information in your future projects Foundation Concepts Key definitions History of the WBS Importance of the WBS Overall structure Terminology Other breakdown structures WBS tools WBS & Scope Project scope management processes Specification of the project objectives WBS design based on project deliverable WBS decomposition process and 'The 100% rule' Work Packages and Control Accounts WBS & Risk Risk management planning and WBS Risk identification to enhance the WBS Risk analysis and the WBS Risk responses and updating the WBS Implementing risk response and Monitoring risks and the WBS WBS & Estimating Use of WBS in the estimating process Components and work packages Sizing and algorithmic estimates WBS & Scheduling Component Scheduling - High-Level Milestones WBS activity decomposition WBS elements dependencies Work Package Level Schedules Responsibility assignment matrix WBS & Execution and Control Earned Value Management and tracking of work performance Progress reports, forecasts, and corrective and preventive actions used to manage work performance Necessary information to close out a project

Step beyond the basics and dive deeper into Python with our Intermediate Training Course, designed for those who have already dipped their toes into coding and are ready to advance their skills. This course carefully guides you through more intricate concepts such as object-oriented programming, data manipulation, and working with modules and libraries—all essential tools in the modern Python programmer’s toolkit. Whether you want to enhance your coding fluency or prepare for more specialised projects, this course offers the perfect balance of theory and thoughtful explanation, ensuring clarity without drowning you in jargon. Crafted for learners who appreciate precision and clarity, the course content balances informative detail with a touch of wit to keep you engaged without ever feeling like you’re slogging through a manual. Ideal for self-paced study, it fits neatly around your schedule and learning preferences. By the end, you’ll be confidently handling Python’s intermediate-level challenges and writing code that’s not only functional but a little bit clever too. Ready to level up your programming skills? This course is your next smart step. Learning Outcomes: Gain a deeper understanding of intermediate-level Python concepts. Learn how to work with matrices and manipulate lists and dictionaries. Discover how to use Python to solve complex problems and write efficient and elegant code. Understand how to manipulate data structures and perform advanced data analysis tasks. Learn how to use Python to build real-world projects and applications. The Python Intermediate Training course is designed to provide you with the skills and knowledge you need to become a proficient Python developer. Whether you're a beginner or an experienced programmer looking to enhance your Python skills, this course is perfect for you. Starting with the basics of matrices and lists and moving on to more advanced topics, such as dictionaries and data analysis, this course covers everything you need to know to become a proficient Python developer. You'll learn how to manipulate data structures, perform advanced data analysis tasks, and use Python to build real-world projects and applications. ⊱⊱ Python Intermediate Training Course Curriculum Section 01: Introduction Course Introduction Section 02: Matrix in Python Working on Matrix in Python Working on Matrix in Python Continued Performing Sort Section 03: Working on List in Python Merging to Dictionaries Concatenation of List Example Excepting Values in List and Adding those Using for Loop Excepting Values in List and Adding Those Using While Loop Performing Arithmetic Operation on List Data Structure in Python Data Structure in Python Continued Section 04: Lists & Dictionaries in Python List and Dictionary in Python List and Dictionary in Python Continued Various Sorting Methods in Python Part 1 Various Sorting Methods in Python Part 2 Binary Search Example Reversing a String Dictionary Examples More on List and Dictionary Examples String Examples How is the course assessed? Upon completing an online module, you will immediately be given access to a specifically crafted MCQ test. For each test, the pass mark will be set to 60%. Exam & Retakes: It is to inform our learners that the initial exam for this online course is provided at no additional cost. In the event of needing a retake, a nominal fee of £9.99 will be applicable. Certification Upon successful completion of the assessment procedure, learners can obtain their certification by placing an order and remitting a fee of __ GBP. £9 for PDF Certificate and £15 for the Hardcopy Certificate within the UK ( An additional £10 postal charge will be applicable for international delivery). CPD 10 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Python beginners who want to take their skills to the next level. Experienced programmers who want to expand their Python skills and knowledge. Data analysts who want to use Python for advanced data analysis tasks. Entrepreneurs who want to develop their own Python-based applications. Students who want to enhance their Python skills and prepare for a career in programming. Requirements There are no formal entry requirements for the course, with enrollment open to anyone! Career path Python Developer: £28,000 - £55,000 Data Analyst: £24,000 - £45,000 Software Engineer: £28,000 - £60,000 Technical Lead: £40,000 - £90,000 Chief Technology Officer: £90,000 - £250,000 Certificates Certificate of completion Digital certificate - £9 You can apply for a CPD Accredited PDF Certificate at the cost of £9. Certificate of completion Hard copy certificate - £15 Hard copy can be sent to you via post at the expense of £15.

Enhance your coding skill set by learning Java multithreading and parallel programming. Figure out common problems such as debugging codes, splitting a problem into multiple independent pieces, and measuring the runtime and performance of your code. Save time and avoid going into the same pitfalls while learning multithreading.

Work Breakdown Structures It's amazing how often project managers begin the project planning process by making an outlined list of every task they believe will be required to complete a project and then proclaim they have created the work breakdown structure (WBS) for the project. The result is a list of hundreds, or even thousands of tasks, many of them having durations of a few days or a few hours. Essentially, what they have done is create a 'to do' list, which they then use as a 'checklist' to measure progress. This approach leads to, and even encourages, micromanagement of the resources working on the project without consideration of more critical aspects of project management such as: requirements management, risk management, procurement management, estimating, scheduling, executing, and controlling. Further, it makes it impossible to see the big picture, at levels of detail, in keeping with the needs of sponsors, clients, project and functional managers, team leaders, and project performers. Join us for this exciting program and learn how to use the WBS to make better-informed business decisions. What You Will Learn You will learn how to: Describe the need for a project WBS Describe the WBS role in the project Gain practical experience in the development, decomposition, and use of the WBS Determine the appropriate level of detail in the WBS. Explain how the WBS integrates with project requirements, risk, procurement, estimating, scheduling, and overall project execution. Provide the basic tools to enhance efficient re-use of key information in your future projects Foundation Concepts Key definitions History of the WBS Importance of the WBS Overall structure Terminology Other breakdown structures WBS tools WBS & Scope Project scope management processes Specification of the project objectives WBS design based on project deliverable WBS decomposition process and 'The 100% rule' Work Packages and Control Accounts WBS & Risk Risk management planning and WBS Risk identification to enhance the WBS Risk analysis and the WBS Risk responses and updating the WBS Implementing risk response and Monitoring risks and the WBS WBS & Estimating Use of WBS in the estimating process Components and work packages Sizing and algorithmic estimates WBS & Scheduling Component Scheduling - High-Level Milestones WBS activity decomposition WBS elements dependencies Work Package Level Schedules Responsibility assignment matrix WBS & Execution and Control Earned Value Management and tracking of work performance Progress reports, forecasts, and corrective and preventive actions used to manage work performance Necessary information to close out a project