5471 International Software Testing Qualifications Board (ISTQB) courses delivered Online

Overview Dive deep into the intricate world of medical coding with our comprehensive course, offering an immersive experience in the standardised language of healthcare. Our curriculum not only initiates you into the introductory aspects but also takes you through detailed coding conventions and guidelines for various diseases and conditions, spanning infectious diseases to congenital abnormalities. Understanding medical coding is imperative in the healthcare industry for accurate documentation, billing, and patient care, making it an indispensable skill for anyone interested in a career in healthcare administration. Learning Outcomes Understand the foundational principles of medical coding and its significance in healthcare. Decode and apply conventions specific to the ICD-10-CM. Interpret and implement chapter-specific coding guidelines for a diverse range of diseases and conditions. Differentiate and categorise diseases into their respective chapters, ensuring precise documentation. Synthesise medical records, disease classifications, and coding guidelines to ensure accurate medical billing and administrative procedures. Why buy this Certificate in Medical Coding- ICD-10-CM at QLS Level 3? Unlimited access to the course for a lifetime. Opportunity to earn a certificate accredited by the CPD Quality Standards after completing this course. Structured lesson planning in line with industry standards. Immerse yourself in innovative and captivating course materials and activities. Assessments are 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. Who is this course for? Individuals keen on starting a career in healthcare administration and billing. Medical administrators looking to refine and update their knowledge. Healthcare professionals desiring an understanding of the backend administrative process. Medical students wishing to diversify their skill set. Coding enthusiasts interested in the healthcare sector. Career path Medical Coder: £24,000 - £29,000 annually Health Information Manager: £30,000 - £36,000 annually Medical Records Technician: £20,000 - £26,000 annually Clinical Documentation Specialist: £28,000 - £34,000 annually Health Data Analyst: £27,000 - £33,000 annually Medical Billing Manager: £29,000 - £35,000 annually Prerequisites This Certificate in Medical Coding- ICD-10-CM at QLS Level 3 does not require you to have any prior qualifications or experience. You can just enrol and start learning. This course 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. Endorsed Certificate of Achievement from the Quality Licence Scheme Learners will be able to achieve an endorsed certificate after completing the course as proof of their achievement. You can order the endorsed certificate for only £85 to be delivered to your home by post. For international students, there is an additional postage charge of £10. Endorsement The Quality Licence Scheme (QLS) has endorsed this course for its high-quality, non-regulated provision and training programmes. The QLS is a UK-based organisation that sets standards for non-regulated training and learning. This endorsement means that the course has been reviewed and approved by the QLS and meets the highest quality standards. Please Note: Studyhub is a Compliance Central approved resale partner for Quality Licence Scheme Endorsed courses. Course Curriculum Medical coding Introduction Medical Coding Introduction 00:15:00 Placeholder 00:01:00 How to Use Medical Coding Books? 00:36:00 Conventions for the ICD-10-CM Conventions Introduction 00:03:00 Conventions Part: 01 00:19:00 Conventions Part: 02 00:17:00 Conventions Part: 03 00:17:00 Conventions Part: 04 00:37:00 General Coding Guidelines Locating a code in the ICD-10-CM 00:02:00 Level of Detail in Coding 00:01:00 Code or codes from A00.0 through T88.9, Z00-Z99.8 00:01:00 Signs and symptoms 00:02:00 Conditions that are not an integral part of a disease process 00:02:00 Conditions that are not an integral part of a disease process 00:02:00 Multiple coding for a single condition Part: 01 00:02:00 Multiple coding for a single condition Part: 02 00:01:00 Acute and Chronic Conditions 00:02:00 Combination Code 00:02:00 Sequela (Late Effects) 00:02:00 Impending or Threatened Condition 00:01:00 Reporting Same Diagnosis Code More than Once 00:01:00 Laterality 00:02:00 Documentation by Clinicians Other than the Patient's Provider 00:02:00 Documentation of Complications of Care Part: 01 00:02:00 Documentation of Complications of Care Part: 02 00:01:00 Borderline Diagnosis 00:01:00 Use of Sign -Symptom- Unspecified Codes 00:02:00 Coding for Healthcare Encounters in Hurricane Aftermath 00:06:00 Chapter Specific Coding Guidelines Introduction Digital Medical Coding Mastery (DMCM) 00:05:00 Chapter 1: Certain Infectious and Parasitic Diseases (A00-B99) HIV Coding Guidelines 00:13:00 Infections resistant to antibiotics 00:02:00 Coding of Sepsis, Severe Sepsis, and Septic Shock 00:13:00 Zika virus infections 00:02:00 Chapter 2: Neoplasms (C00-D49) Introduction of Neoplasm or Cancer 00:02:00 Treatment directed at Malignancy or Cancer 00:02:00 Treatment of Secondary Cancer site 00:02:00 Coding & Sequencing of complications 00:04:00 Primary malignancy previously excised 00:01:00 Encounters involving chemotherapy, immunotherapy and radiation therapy 00:02:00 Encounter to determine extent of malignancy 00:01:00 Signs and Symptoms with Neoplasms 00:02:00 Admission for pain control management 00:01:00 Malignancy in two or more non-contiguous sites 00:02:00 Disseminated Malignant Neoplasm 00:01:00 Malignant Neoplasm without specification of site 00:01:00 Sequencing of Neoplasm Codes 00:06:00 Current Malignancy versus personal history of Malignancy 00:04:00 Leukemia, Multiple Myeloma 00:02:00 Aftercare, Follow-up, Prophylactic organ removal 00:05:00 Chapter 3: Endocrine, Nutritional, and Metabolic Diseases (E00-E89) Introduction Endocrine, Nutritional, and Metabolic Diseases 00:01:00 Diabetes mellitus (DM) 00:01:00 Diabetes mellitus and use of insulin 00:01:00 DM in Pregnancy 00:01:00 Complications due to Insulin Pump Malfunction 00:02:00 Secondary Diabetes Mellitus (DM) 00:06:00 Chapter 4: Mental, Behavioral and Neurodevelopmental disorders (F01 - F99) Pain Disorder related to Psychological Factor 00:02:00 MSBP (Munchausen's Syndrome By Proxy) 00:05:00 Chapter 5: Diseases of the Nervous System (G00-G99) Introduction of Nervous System 00:04:00 Pain Coding Guidelines 00:03:00 Pain due to Device and Post OP Pain 00:03:00 Post OP Pain associated 00:01:00 Chronic Pain, Neoplasm related and Chronic pain Syndrome 00:05:00 Tip for Today 00:03:00 Chapter 6: Diseases of the Eye and Adnexa (H00-H59) Glaucoma Coding Guidelines 00:07:00 Blindness Coding Guidelines 00:07:00 Chapter 7: Diseases of the Circulatory System (I00-I99) Hypertension (HTN) Coding Guidelines 00:06:00 Different types of Hypertension combination codes 00:10:00 Coronary Artery Disease (CAD) Coding Guidelines 00:04:00 Intra and Postoperative CVA 00:03:00 Acute and Sequela Cerebrovascular Accident (CVA) 00:06:00 Myocardial Infarction (MI) 00:09:00 Tip for Today 00:03:00 Chapter 8: Diseases of the Respiratory System (J00-J99) Guidelines for COPD 00:07:00 Guidelines for Respiratory Failure and Influenza 00:07:00 Ventilator Associated Pneumonia (VAP) 00:05:00 Chapter 9: Diseases of the Skin and Subcutaneous Tissue (L00-L99) Pressure Ulcer Coding Guidelines 00:07:00 Non Pressure Ulcer Coding Guidelines 00:06:00 Chapter 10: Diseases of the Musculoskeletal System & Connective Tissue (M00-M99) Musculoskeletal System 00:14:00 Chapter 11: Diseases of Genitourinary System (N00-N99) CKD & Transplant status 00:09:00 Tip for you 00:02:00 Chapter 12: Pregnancy, Childbirth, and the Puerperium (O00-O9A) General Rules to code Pregnancy 00:15:00 Selection of Codes in obstetrics 00:10:00 Pre-existing conditions in Pregnancy 00:07:00 Pregnancy Combination conditions 00:17:00 Postpartum and Peri partum 00:09:00 Termination and Spontaneous Abortion 00:09:00 Chapter 13: Certain Conditions Originating in the Perinatal Period (P00-P96) Newborn General Guidelines 00:10:00 Additional Diagnosis and Newborn codes 00:07:00 Chapter 14: Congenital malformations, deformations, chromosomal abnormal(Q00-Q99) Congenital Malformation Codes 00:07:00 Chapter 15: Symptoms, signs, & abnormal clinical & laboratory findings (R00-R99) Symptoms Guidelines R Series 00:16:00 Chapter 16: Injury, poisoning, certain consequences of external causes (S00-T88) Coding Injury & Fracture 00:26:00 Coding of Burns and Corrosions 00:15:00 Adult, Child Abuse, Neglect 00:07:00 Adverse effect, Poisoning 00:17:00 Complication of Care 00:09:00 Conclusion Conclusion 00:01:00 Assignment Assignment - Certificate in Medical Coding- ICD-10-CM at QLS Level 3 04:00:00 Order your QLS Endorsed Certificate Order your QLS Endorsed Certificate 00:00:00

Are you embarking on the journey of mastering data analytics and visualisation in the UK? The 'Advanced Diploma in Microsoft Power BI 2021 at QLS Level 7' is your beacon. Positioned to illuminate the intricate realm of Power BI, this course offers a comprehensive look into the foundational aspects and the advanced features that make Microsoft's tool a standout. With sections meticulously designed ranging from the fundamentals, like data transformation, to advanced concepts, such as integrating Power BI with Python and storytelling with data, this course ensures learners grasp the complete spectrum. With the rising emphasis on data analytics in today's business world, this course acquaints you with Power BI's prowess. It prepares you for the sought-after Microsoft Power BI certification in the UK. Learning Outcomes Comprehend the fundamental aspects of Power BI, from initiating a project to understanding the user interface. Develop proficiency in advanced data transformation techniques and data model creation. Integrate Python with Power BI and harness the benefits of both for enhanced data analytics. Master the art of 'Storytelling with Data' to deliver impactful presentations and reports. Understand and implement Row-Level Security and harness Power BI Cloud services efficiently. Why choose this Advanced Diploma in Microsoft Power BI 2021 at QLS Level 7? Unlimited access to the course for a lifetime. Opportunity to earn a certificate accredited by the CPD Quality Standards after completing this course. Structured lesson planning in line with industry standards. Immerse yourself in innovative and captivating course materials and activities. Assessments are 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. Who is this Advanced Diploma in Microsoft Power BI 2021 at QLS Level 7 for? Individuals keen on obtaining the Microsoft power bi certification UK. Analysts and data professionals aspiring to enhance their data visualisation skills. Business professionals wanting to leverage Power BI for insightful business decision-making. Tech enthusiasts aiming to amalgamate programming (Python) with data analytics. Those seeking to stay updated with the latest trends in Power BI and its evolving capabilities. Career path Data Analyst: Average Salary £30,000 - £40,000 Annually Business Intelligence Developer: Average Salary £35,000 - £45,000 Annually Power BI Developer: Average Salary £40,000 - £50,000 Annually Data Visualisation Specialist: Average Salary £32,000 - £42,000 Annually Business Intelligence Manager: Average Salary £45,000 - £55,000 Annually Data Strategy Consultant: Average Salary £50,000 - £60,000 Annually Prerequisites This Advanced Diploma in Microsoft Power BI 2021 at QLS Level 7 does not require you to have any prior qualifications or experience. You can just enrol and start learning. This course 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. Endorsed Certificate of Achievement from the Quality Licence Scheme Learners will be able to achieve an endorsed certificate after completing the course as proof of their achievement. You can order the endorsed certificate for only £135 to be delivered to your home by post. For international students, there is an additional postage charge of £10. Endorsement The Quality Licence Scheme (QLS) has endorsed this course for its high-quality, non-regulated provision and training programmes. The QLS is a UK-based organisation that sets standards for non-regulated training and learning. This endorsement means that the course has been reviewed and approved by the QLS and meets the highest quality standards. Please Note: Studyhub is a Compliance Central approved resale partner for Quality Licence Scheme Endorsed courses. Course Curriculum Section 01: Introduction Welcome! 00:01:00 What is Power BI? 00:03:00 Download & Installing Power BI Desktop 00:04:00 Getting to know the interface 00:03:00 Mini Project: Transform Data 00:07:00 Mini Project: Visualize Data 00:05:00 Mini Project: Creating a Data Model 00:07:00 Course Outline: What will you learn in this course? 00:05:00 How to learn best with this course? 00:03:00 Section 02: Preparing our Project Creating our initial project file 00:04:00 Working with the attached project files 00:04:00 Section 03: Data Transformation - The Query Editor Exploring the Query Editor 00:06:00 Connecting to our data source 00:07:00 Editing rows 00:08:00 Changing data types 00:08:00 Replacing values 00:03:00 Close & Apply 00:03:00 Connecting to a csv file 00:03:00 Connecting to a web page 00:05:00 Extracting characters 00:06:00 Splitting & merging columns 00:09:00 Creating conditional columns 00:06:00 Creating columns from examples 00:09:00 Merging Queries 00:17:00 Pivoting & Unpivoting 00:06:00 Appending Queries 00:08:00 Practice & Solution: Population table 00:15:00 The Fact-Dimension-Model 00:09:00 Practice: Load the dimension table 00:04:00 Organizing our queries in groups 00:03:00 Entering data manually 00:05:00 Creating an index column 00:03:00 Workflow & more transformations 00:05:00 Module summary 00:05:00 Exercise 1 - Instruction 00:02:00 Exercise Solution 00:11:00 Section 04: Data Transformation - Advanced Advanced Editor - Best practices 00:09:00 Performance: References vs. Duplicating 00:10:00 Performance: Enable / Disable Load & Report Refresh 00:05:00 Group by 00:05:00 Mathematical Operations 00:05:00 Run R Script 00:15:00 Using Parameters to dynamically transform data 00:06:00 M formula language: Basics 00:07:00 M formula language: Values, Lists & Tables 00:14:00 M formula language: Functions 00:13:00 M formula language: More functions & steps 00:05:00 Exercise 2 - Instructions 00:01:00 Exercise 2 - solution 00:05:00 Section 05: Creating a Data Model Understanding the relationship 00:05:00 Create & edit relationships 00:06:00 One-to-many & one-to-one relationship 00:06:00 Many-to-many (m:n) relationship 00:08:00 Cross filter direction 00:06:00 Activate & deactivate relationships 00:06:00 Model summary 00:03:00 Exercise 3 Create Model 00:03:00 Exercise 3 Solution 00:02:00 Section 06: Data Visualization Our first visual 00:08:00 The format tab 00:12:00 Understanding tables 00:10:00 Conditional formatting 00:09:00 The Pie Chart 00:06:00 All about the filter visual 00:13:00 The filter pane for developers 00:09:00 Cross filtering & edit interactions 00:04:00 Syncing slicers across pages 00:07:00 Creating drill downs 00:08:00 Creating drill throughs 00:07:00 The tree map visual 00:07:00 The decomposition tree 00:05:00 Understanding the matrix visual 00:05:00 Editing pages 00:07:00 Buttons & Actions 00:09:00 Bookmarks to customize your report 00:10:00 Analytics and Forecasts with line charts 00:10:00 Working with custom visuals 00:07:00 Get data using R Script & R Script visual 00:08:00 Asking questions - Q&A visual 00:04:00 Wrap up - data visualization 00:08:00 Section 07: Power BI & Python Python in Power BI - Plan of attack 00:03:00 Setting up Python for Power BI 00:03:00 Transforming data using Python 00:11:00 Creating visualizations using Python 00:08:00 Violin plots, pair plots & ridge plots using Python 00:15:00 Machine learning (BayesTextAnalyzer) using Python 00:00:00 Performance & Troubleshooting 00:03:00 Section 08: Storytelling with Data Introduction 00:01:00 Show Empathy & Identify the Requirement 00:03:00 Finding the Most Suitable KPI's 00:02:00 Choose an Effective Visualization 00:04:00 Make Use of Natural Reading Pattern 00:03:00 Tell a Story Using Visual Cues 00:05:00 Avoid Chaos & Group Information 00:02:00 Warp Up - Storytelling with Data 00:02:00 Section 09: DAX - The Essentials Introduction 00:03:00 The project data 00:04:00 Measures vs. Calculated Columns 00:15:00 Automatically creating a date table in DAX 00:08:00 CALENDAR 00:05:00 Creating a complete date table with features 00:04:00 Creating key measure table 00:03:00 Aggregation functions 00:06:00 The different versions of COUNT 00:14:00 SUMX - Row based calculations 00:09:00 Section 10: DAX - The CALCULATE function CALCULATE - The basics 00:11:00 Changing the context with FILTER 00:07:00 ALL 00:08:00 ALL SELECTED 00:03:00 ALL EXCEPT 00:07:00 Section 11: Power BI Service - Power BI Cloud How to go on now? 00:03:00 Power BI Pro vs Premium & Signing up 00:04:00 Exploring the interface 00:04:00 Discovering your workspace 00:03:00 Connecting Power BI Desktop & Cloud 00:04:00 Understanding datasets & reports 00:03:00 Working on reports 00:04:00 Updating reports from Power BI Desktop 00:04:00 Creating and working with workspaces 00:07:00 Installing & using a data gateway 00:13:00 Get Quick Insights 00:03:00 Creating dashboards 00:04:00 Sharing our results through Apps 00:10:00 Power BI Mobile App 00:05:00 Creating the layout for the Mobile App 00:04:00 Wrap up Power BI Cloud 00:07:00 Section 12: Row-Level Security Introduction 00:03:00 Creating a Row-Level Security 00:05:00 Row-Level Security in the Cloud 00:04:00 Row-Level Security & Data Model 00:05:00 Dynamic Row-Level Security 00:07:00 Dynamic Many-to-Many RLS 00:04:00 Hierarchical Row-Level Security 00:13:00 Section 13: More data sources JSON & REST API 00:10:00 Setting up a local MySQL database 00:14:00 Connecting to a MySQL database in Power BI 00:05:00 Connecting to a SQL database (PostgreSQL) 00:05:00 Section 14: Next steps to improve & stay up to date Congratulations & next steps 00:06:00 The End 00:01:00 Resources Resources - Advanced Diploma in Microsoft Power BI 2021 at QLS Level 7 00:00:00 Assignment Assignment - Advanced Diploma in Microsoft Power BI 2021 at QLS Level 7 04:00:00 Order your QLS Endorsed Certificate Order your QLS Endorsed Certificate 00:00:00

Are you ready to be at the helm, steering the ship into a realm where data is the new gold? In the infinite world of data, where information spirals at breakneck speed, lies a universe rich in potential and discovery: the domain of Data Science and Visualisation. This 'Certificate in Data Science and Visualisation with Machine Learning at QLS Level 3' course unravels the wonders of extracting meaningful insights using Python, the worldwide leading language of data experts. Harnessing the strength of Python, you'll delve deep into data analysis, experience the finesse of visualisation tools, and master the art of Machine Learning. The need to understand, interpret, and act on this data has become paramount, with vast amounts of data increasing the digital sphere. Envision a canvas where raw numbers are transformed into visually compelling stories, and machine learning models foretell future trends. This course provides a meticulous pathway for anyone eager to learn the data representation paradigms backed by Python's robust libraries. Dive into a curriculum rich with analytical explorations, visual artistry, and machine learning predictions. Learning Outcomes Understanding the foundations and functionalities of Python, focusing on its application in data science. Applying various Python libraries like NumPy and Pandas for effective data analysis. Demonstrating proficiency in creating detailed visual narratives using tools like matplotlib, Seaborn, and Plotly. Implementing Machine Learning algorithms in Python using scikit-learn, ranging from regression models to clustering techniques. Designing and executing a holistic data analysis and visualisation project, encapsulating all learned techniques. Exploring advanced topics, encompassing recommender systems and natural language processing with Python. Attaining the confidence to independently analyse complex data sets and translate them into actionable insights.   Video Playerhttps://studyhub.org.uk/wp-content/uploads/2021/03/Data-Science-and-Visualisation-with-Machine-Learning.mp400:0000:0000:00Use Up/Down Arrow keys to increase or decrease volume. Why buy this Certificate in Data Science and Visualisation with Machine Learning at QLS Level 3? Unlimited access to the course for a lifetime. Opportunity to earn a certificate accredited by the CPD Quality Standards after completing this course. Structured lesson planning in line with industry standards. Immerse yourself in innovative and captivating course materials and activities. Assessments are designed to evaluate advanced cognitive abilities and skill proficiency. Flexibility to complete the Certificate in Data Science and Visualisation with Machine Learning at QLS Level 3 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. Who is this Certificate in Data Science and Visualisation with Machine Learning at QLS Level 3 course for? Aspiring data scientists aiming to harness the power of Python. Researchers keen to enrich their analytical and visualisation skills. Analysts aiming to add machine learning to their toolkit. Developers striving to integrate data analytics into applications. Business professionals desiring data-driven decision-making capabilities. Career path Data Scientist: £55,000 - £85,000 Per Annum Machine Learning Engineer: £60,000 - £90,000 Per Annum Data Analyst: £30,000 - £50,000 Per Annum Data Visualisation Specialist: £45,000 - £70,000 Per Annum Natural Language Processing Specialist: £65,000 - £95,000 Per Annum Business Intelligence Developer: £40,000 - £65,000 Per Annum Prerequisites This Certificate in Data Science and Visualisation with Machine Learning at QLS Level 3 does not require you to have any prior qualifications or experience. You can just enrol and start learning. This Certificate in Data Science and Visualisation with Machine Learning at QLS Level 3 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. Endorsed Certificate of Achievement from the Quality Licence Scheme Learners will be able to achieve an endorsed certificate after completing the course as proof of their achievement. You can order the endorsed certificate for only £85 to be delivered to your home by post. For international students, there is an additional postage charge of £10. Endorsement The Quality Licence Scheme (QLS) has endorsed this course for its high-quality, non-regulated provision and training programmes. The QLS is a UK-based organisation that sets standards for non-regulated training and learning. This endorsement means that the course has been reviewed and approved by the QLS and meets the highest quality standards. Please Note: Studyhub is a Compliance Central approved resale partner for Quality Licence Scheme Endorsed courses. Course Curriculum Welcome, Course Introduction & overview, and Environment set-up Welcome & Course Overview 00:07:00 Set-up the Environment for the Course (lecture 1) 00:09:00 Set-up the Environment for the Course (lecture 2) 00:25:00 Two other options to setup environment 00:04:00 Python Essentials Python data types Part 1 00:21:00 Python Data Types Part 2 00:15:00 Loops, List Comprehension, Functions, Lambda Expression, Map and Filter (Part 1) 00:16:00 Loops, List Comprehension, Functions, Lambda Expression, Map and Filter (Part 2) 00:20:00 Python Essentials Exercises Overview 00:02:00 Python Essentials Exercises Solutions 00:22:00 Python for Data Analysis using NumPy What is Numpy? A brief introduction and installation instructions. 00:03:00 NumPy Essentials - NumPy arrays, built-in methods, array methods and attributes. 00:28:00 NumPy Essentials - Indexing, slicing, broadcasting & boolean masking 00:26:00 NumPy Essentials - Arithmetic Operations & Universal Functions 00:07:00 NumPy Essentials Exercises Overview 00:02:00 NumPy Essentials Exercises Solutions 00:25:00 Python for Data Analysis using Pandas What is pandas? A brief introduction and installation instructions. 00:02:00 Pandas Introduction 00:02:00 Pandas Essentials - Pandas Data Structures - Series 00:20:00 Pandas Essentials - Pandas Data Structures - DataFrame 00:30:00 Pandas Essentials - Handling Missing Data 00:12:00 Pandas Essentials - Data Wrangling - Combining, merging, joining 00:20:00 Pandas Essentials - Groupby 00:10:00 Pandas Essentials - Useful Methods and Operations 00:26:00 Pandas Essentials - Project 1 (Overview) Customer Purchases Data 00:08:00 Pandas Essentials - Project 1 (Solutions) Customer Purchases Data 00:31:00 Pandas Essentials - Project 2 (Overview) Chicago Payroll Data 00:04:00 Pandas Essentials - Project 2 (Solutions Part 1) Chicago Payroll Data 00:18:00 Python for Data Visualization using matplotlib Matplotlib Essentials (Part 1) - Basic Plotting & Object Oriented Approach 00:13:00 Matplotlib Essentials (Part 2) - Basic Plotting & Object Oriented Approach 00:22:00 Matplotlib Essentials (Part 3) - Basic Plotting & Object Oriented Approach 00:22:00 Matplotlib Essentials - Exercises Overview 00:06:00 Matplotlib Essentials - Exercises Solutions 00:21:00 Python for Data Visualization using Seaborn Seaborn - Introduction & Installation 00:04:00 Seaborn - Distribution Plots 00:25:00 Seaborn - Categorical Plots (Part 1) 00:21:00 Seaborn - Categorical Plots (Part 2) 00:16:00 Seborn-Axis Grids 00:25:00 Seaborn - Matrix Plots 00:13:00 Seaborn - Regression Plots 00:11:00 Seaborn - Controlling Figure Aesthetics 00:10:00 Seaborn - Exercises Overview 00:04:00 Seaborn - Exercise Solutions 00:19:00 Python for Data Visualization using pandas Pandas Built-in Data Visualization 00:34:00 Pandas Data Visualization Exercises Overview 00:03:00 Panda Data Visualization Exercises Solutions 00:13:00 Python for interactive & geographical plotting using Plotly and Cufflinks Plotly & Cufflinks - Interactive & Geographical Plotting (Part 1) 00:19:00 Plotly & Cufflinks - Interactive & Geographical Plotting (Part 2) 00:14:00 Plotly & Cufflinks - Interactive & Geographical Plotting Exercises (Overview) 00:11:00 Plotly & Cufflinks - Interactive & Geographical Plotting Exercises (Solutions) 00:37:00 Capstone Project - Python for Data Analysis & Visualization Project 1 - Oil vs Banks Stock Price during recession (Overview) 00:15:00 Project 1 - Oil vs Banks Stock Price during recession (Solutions Part 1) 00:18:00 Project 1 - Oil vs Banks Stock Price during recession (Solutions Part 2) 00:18:00 Project 1 - Oil vs Banks Stock Price during recession (Solutions Part 3) 00:17:00 Project 2 (Optional) - Emergency Calls from Montgomery County, PA (Overview) 00:03:00 Python for Machine Learning (ML) - scikit-learn - Linear Regression Model Introduction to ML - What, Why and Types.. 00:15:00 Theory Lecture on Linear Regression Model, No Free Lunch, Bias Variance Tradeoff 00:15:00 scikit-learn - Linear Regression Model - Hands-on (Part 1) 00:17:00 scikit-learn - Linear Regression Model Hands-on (Part 2) 00:19:00 Good to know! How to save and load your trained Machine Learning Model! 00:01:00 scikit-learn - Linear Regression Model (Insurance Data Project Overview) 00:08:00 scikit-learn - Linear Regression Model (Insurance Data Project Solutions) 00:30:00 Python for Machine Learning - scikit-learn - Logistic Regression Model Theory: Logistic Regression, conf. mat., TP, TN, Accuracy, Specificityetc. 00:10:00 scikit-learn - Logistic Regression Model - Hands-on (Part 1) 00:17:00 scikit-learn - Logistic Regression Model - Hands-on (Part 2) 00:20:00 scikit-learn - Logistic Regression Model - Hands-on (Part 3) 00:11:00 scikit-learn - Logistic Regression Model - Hands-on (Project Overview) 00:05:00 scikit-learn - Logistic Regression Model - Hands-on (Project Solutions) 00:15:00 Python for Machine Learning - scikit-learn - K Nearest Neighbors Theory: K Nearest Neighbors, Curse of dimensionality . 00:08:00 scikit-learn - K Nearest Neighbors - Hands-on 00:25:00 scikt-learn - K Nearest Neighbors (Project Overview) 00:04:00 scikit-learn - K Nearest Neighbors (Project Solutions) 00:14:00 Python for Machine Learning - scikit-learn - Decision Tree and Random Forests Theory: D-Tree & Random Forests, splitting, Entropy, IG, Bootstrap, Bagging. 00:18:00 scikit-learn - Decision Tree and Random Forests - Hands-on (Part 1) 00:19:00 scikit-learn - Decision Tree and Random Forests (Project Overview) 00:05:00 scikit-learn - Decision Tree and Random Forests (Project Solutions) 00:15:00 Python for Machine Learning - scikit-learn -Support Vector Machines (SVMs) Support Vector Machines (SVMs) - (Theory Lecture) 00:07:00 scikit-learn - Support Vector Machines - Hands-on (SVMs) 00:30:00 scikit-learn - Support Vector Machines (Project 1 Overview) 00:07:00 scikit-learn - Support Vector Machines (Project 1 Solutions) 00:20:00 scikit-learn - Support Vector Machines (Optional Project 2 - Overview) 00:02:00 Python for Machine Learning - scikit-learn - K Means Clustering Theory: K Means Clustering, Elbow method .. 00:11:00 scikit-learn - K Means Clustering - Hands-on 00:23:00 scikit-learn - K Means Clustering (Project Overview) 00:07:00 scikit-learn - K Means Clustering (Project Solutions) 00:22:00 Python for Machine Learning - scikit-learn - Principal Component Analysis (PCA) Theory: Principal Component Analysis (PCA) 00:09:00 scikit-learn - Principal Component Analysis (PCA) - Hands-on 00:22:00 scikit-learn - Principal Component Analysis (PCA) - (Project Overview) 00:02:00 scikit-learn - Principal Component Analysis (PCA) - (Project Solutions) 00:17:00 Recommender Systems with Python - (Additional Topic) Theory: Recommender Systems their Types and Importance 00:06:00 Python for Recommender Systems - Hands-on (Part 1) 00:18:00 Python for Recommender Systems - - Hands-on (Part 2) 00:19:00 Python for Natural Language Processing (NLP) - NLTK - (Additional Topic) Natural Language Processing (NLP) - (Theory Lecture) 00:13:00 NLTK - NLP-Challenges, Data Sources, Data Processing .. 00:13:00 NLTK - Feature Engineering and Text Preprocessing in Natural Language Processing 00:19:00 NLTK - NLP - Tokenization, Text Normalization, Vectorization, BoW. 00:19:00 NLTK - BoW, TF-IDF, Machine Learning, Training & Evaluation, Naive Bayes 00:13:00 NLTK - NLP - Pipeline feature to assemble several steps for cross-validation 00:09:00 Resources Resources - Data Science and Visualisation with Machine Learning 00:00:00 Order your QLS Endorsed Certificate Order your QLS Endorsed Certificate 00:00:00

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Level 5 QLS Endorsed Course | CPD Accredited | Audio Visual Training | Free PDF Certificate | Lifetime Access

Level 5 QLS Course | 150 CPD Points | Advanced Learning Materials | Lifetime Access | Tutor Support

The Admin, Secretarial & PA course will provide you with the knowledge and multiple skills required to run high-level administration in business with ease. A company cannot run smoothly without someone performing the planning and signing, and you can learn to make yourself invaluable to the team with these skills. This best admin course covers every responsibility and ability that a great personal assistant will need to succeed, along with the fundamental skills required for a secretarial role and applying continuous improvements and high standards to the administrative processes. You'll find yourself gaining the knowledge base to perform all relative skills with confidence and efficiency. Once you have completed the program, you will have achieved a full understanding of applying the latest and methods of administration to a busy work environment and boost your career in that business sector. Course design The course is delivered through our online learning platform, accessible through any internet-connected device. There are no formal deadlines or teaching schedules, meaning you are free to study the course at your own pace. You are taught through a combination of Text/Video lessons Online study materials Certificate of Achievement Endorsed Certificate of Achievement from the Quality Licence Scheme After successfully completing the course, learners will be able to order an endorsed certificate as proof of their new achievement. Endorsed certificates can be ordered and get delivered to your home by post for only £ 129. There is an additional £10 postage charge for international students. CPD Certification from Institute of Mental Health After successfully completing the MCQ assessment of this course, you will qualify for the CPD Certificate from Institute of Mental Health, as proof of your continued professional development. Certification is available in PDF format, at the cost of £9, or a hard copy can be sent to you via post, at the cost of £15. Endorsement This course has been endorsed by the Quality Licence Scheme for its high-quality, non-regulated provision and training programmes. This course is not regulated by Ofqual and is not an accredited qualification. Your training provider will be able to advise you on any further recognition, for example progression routes into further and/or higher education. For further information please visit the Learner FAQs on the Quality Licence Scheme website. Method of Assessment To assess your learning, you have to participate in an automated multiple choice question exam. You have to score at least 60% to pass the exam and to qualify for Quality Licence Scheme endorsed and CPD accredited certificates. After passing the exam, you will be able to apply for a certificate. 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Course Curriculum Module 01 - Introduction to Personal Assistant & Admin Support Assistant Introduction to Personal Assistant 00:20:00 Module 02 - Introduction to Office Administration Introduction to Office Administration 00:17:00 Module 03 - Skills of an Effective Administrator Skills of an Effective Administrator 00:18:00 Module 04 - Introduction to Reception and Receptionist Introduction to Reception and Receptionist 00:29:00 Module 05 - Business Telephone Skills Business Telephone Skills 00:21:00 Module 06 - Representing Your Boss and Company Representing Your Boss and Company 00:25:00 Module 07 - Business Etiquette Business Etiquette 00:19:00 Module 08 - Mail Services and Shipping Mail Services and Shipping 00:26:00 Module 09 - Travel Arrangements Travel Arrangements 00:22:00 Module 10 - Organising Meeting and Conferences Organising Meeting and Conferences 00:19:00 Module 11 - Diary Management and Note taking Diary Management and Note taking 00:21:00 Module 12 - Time Management Time Management 00:25:00 Module 13 - Record Keeping and Filing Systems Record Keeping and Filing Systems 00:24:00 Module 14 - Business Writing Skills Business Writing Skills 00:25:00 Module 15 - Organisational Skills Organisational Skills 00:19:00 Module 16 - Communication Skills Communication Skills 00:19:00 Module 17- Customer Service Customer Service 00:22:00 Module 18- Effective Planning and Scheduling Effective Planning and Scheduling 00:39:00 Module 19 - Invoicing/Petty Cash Invoicing/Petty Cash 00:20:00 Mock Exam Mock Exam - Admin, Secretarial & PA - Level 7 00:20:00 Final Exam Final Exam - Admin, Secretarial & PA - Level 7 00:20:00 Assignment Assignment - Admin, Secretarial & PA - Level 7 Unlimited

Overview This Operations Management: Process Mapping & Supply Chain will unlock your full potential and will show you how to excel in a career in Operations Management: Process Mapping & Supply Chain. So upskill now and reach your full potential. Everything you need to get started in Operations Management: Process Mapping & Supply Chain is available in this course. Learning and progressing are the hallmarks of personal development. This Operations Management: Process Mapping & Supply Chain will quickly teach you the must-have skills needed to start in the relevant industry. In This Operations Management: Process Mapping & Supply Chain Course, You Will: Learn strategies to boost your workplace efficiency. Hone your Operations Management: Process Mapping & Supply Chain skills to help you advance your career. Acquire a comprehensive understanding of various Operations Management: Process Mapping & Supply Chain topics and tips from industry experts. Learn in-demand Operations Management: Process Mapping & Supply Chain skills that are in high demand among UK employers, which will help you to kickstart your career. This Operations Management: Process Mapping & Supply Chain covers everything you must know to stand against the tough competition in the Operations Management: Process Mapping & Supply Chain field.  The future is truly yours to seize with this Operations Management: Process Mapping & Supply Chain. Enrol today and complete the course to achieve a Operations Management: Process Mapping & Supply Chain certificate that can change your professional career forever. Additional Perks of Buying a Course From Institute of Mental Health Study online - whenever and wherever you want. One-to-one support from a dedicated tutor throughout your course. Certificate immediately upon course completion 100% Money back guarantee Exclusive discounts on your next course purchase from Institute of Mental Health Enrolling in the Operations Management: Process Mapping & Supply Chain can assist you in getting into your desired career quicker than you ever imagined. So without further ado, start now. Process of Evaluation After studying the Operations Management: Process Mapping & Supply Chain, your skills and knowledge will be tested with a MCQ exam or assignment. You must get a score of 60% to pass the test and get your certificate.  Certificate of Achievement Upon successfully completing the Operations Management: Process Mapping & Supply Chain, you will get your CPD accredited digital certificate immediately. And you can also claim the hardcopy certificate completely free of charge. All you have to do is pay a shipping charge of just £3.99. Who Is This Course for? This Operations Management: Process Mapping & Supply Chain is suitable for anyone aspiring to start a career in Operations Management: Process Mapping & Supply Chain; even if you are new to this and have no prior knowledge on Operations Management: Process Mapping & Supply Chain, this course is going to be very easy for you to understand.  And if you are already working in the Operations Management: Process Mapping & Supply Chain field, this course will be a great source of knowledge for you to improve your existing skills and take them to the next level.  Taking this Operations Management: Process Mapping & Supply Chain is a win-win for you in all aspects.  This course has been developed with maximum flexibility and accessibility, making it ideal for people who don't have the time to devote to traditional education. Requirements This Operations Management: Process Mapping & Supply Chain has no prerequisite.  You don't need any educational qualification or experience to enrol in the Operations Management: Process Mapping & Supply Chain. Do note: you must be at least 16 years old to enrol. Any internet-connected device, such as a computer, tablet, or smartphone, can access this online Operations Management: Process Mapping & Supply Chain. Moreover, this course allows you to learn at your own pace while developing transferable and marketable skills. Course Curriculum Section 01: Process Management, Process Mapping and Design Introduction to Process Management 00:03:00 Processes 00:02:00 Procedures 00:04:00 Process Mapping and Design 00:05:00 Where Can Process Mapping Be Used? 00:06:00 Types of Processes 00:03:00 Section 02: Procedural Outline/Quality, Communication Management & Process Re-Engineering Procedural Outline and Quality and Standard Operating Procedures 00:02:00 Communication and Information Management 00:02:00 The Cascade 00:04:00 The 'Suck-Up' Model of Communication 00:03:00 Process Re-Engineering 00:04:00 Section 03: Quality and Productivity Management Quality and Productivity Management 00:04:00 Cost of Quality 00:04:00 Origins of TQM 00:04:00 The Plan-Do-Study-Act Cycle 00:02:00 Benchmarking, Employee Empowerment and Team Approach 00:02:00 Use of Quality Tools 00:04:00 Product Design 00:05:00 ISO International Standards 00:04:00 Six Sigma 00:04:00 Section 04: Supply Chain Management Introduction to Supply Chain Management 00:03:00 Challenge to Supply Chain Management - Bullwhip Effect 00:02:00 Lean Operations Systems 00:04:00 Lean for Production and Services 00:04:00 Services and Delivery in Supply Chain 00:03:00 Supplier Performance Matrix 00:02:00 Demand and Volume Projections 00:02:00 Section 05: Supply Chain Management, Continuous Improvement & Technology Inventory & Cycle Optimization -Just in Time (JIT) vs Just in Case 00:05:00 Top Five Techniques to Achieve Inventory Optimization 00:03:00 The Philosophy of JIT 00:04:00 Kanban Production 00:05:00 JIT and Lean Systems within OM 00:06:00 Supply Chain Networks 00:04:00 Continuous Improvement 00:03:00 Getting Started With Kaizen 00:03:00 Technology in Process and Supply Chain Management 00:01:00

Overview This International Business Principles course will unlock your full potential and will show you how to excel in a career in International Business Principles. So upskill now and reach your full potential. Everything you need to get started in International Business Principles is available in this course. Learning and progressing are the hallmarks of personal development. This International Business Principles will quickly teach you the must-have skills needed to start in the relevant industry. In This International Business Principles Course, You Will: Learn strategies to boost your workplace efficiency. Hone your International Business Principles skills to help you advance your career. Acquire a comprehensive understanding of various International Business Principles topics and tips from industry experts. Learn in-demand International Business Principles skills that are in high demand among UK employers, which will help you to kickstart your career. This International Business Principles course covers everything you must know to stand against the tough competition in the International Business Principles field.  The future is truly yours to seize with this International Business Principles. Enrol today and complete the course to achieve a International Business Principles certificate that can change your professional career forever. Additional Perks of Buying a Course From Institute of Mental Health Study online - whenever and wherever you want. One-to-one support from a dedicated tutor throughout your course. Certificate immediately upon course completion 100% Money back guarantee Exclusive discounts on your next course purchase from Institute of Mental Health Enrolling in the International Business Principles course can assist you in getting into your desired career quicker than you ever imagined. So without further ado, start now. Process of Evaluation After studying the International Business Principles course, your skills and knowledge will be tested with a MCQ exam or assignment. You must get a score of 60% to pass the test and get your certificate.  Certificate of Achievement Upon successfully completing the International Business Principles course, you will get your CPD accredited digital certificate immediately. And you can also claim the hardcopy certificate completely free of charge. All you have to do is pay a shipping charge of just £3.99. Who Is This Course for? This International Business Principles is suitable for anyone aspiring to start a career in International Business Principles; even if you are new to this and have no prior knowledge on International Business Principles, this course is going to be very easy for you to understand.  And if you are already working in the International Business Principles field, this course will be a great source of knowledge for you to improve your existing skills and take them to the next level.  Taking this International Business Principles course is a win-win for you in all aspects.  This course has been developed with maximum flexibility and accessibility, making it ideal for people who don't have the time to devote to traditional education. Requirements This International Business Principles course has no prerequisite.  You don't need any educational qualification or experience to enrol in the International Business Principles course. Do note: you must be at least 16 years old to enrol. Any internet-connected device, such as a computer, tablet, or smartphone, can access this online International Business Principles course. Moreover, this course allows you to learn at your own pace while developing transferable and marketable skills. Course Curriculum Section 01: International Economics and Trade Theory International Business General Concepts 00:03:00 The Importance of International Business 00:04:00 Globalisation of Commerce 00:03:00 International Economics and Trade Theory 00:07:00 Comparative Advantage of Nations 00:03:00 Comparative Advantage versus Absolute Advantage 00:04:00 Strategies for Entering and Developing International Markets 00:04:00 Foreign Direct Investment (FDI) 00:07:00 Foreign Exchange Markets and International Monetary System 00:04:00 Exchange Rate Policies 00:04:00 Purchasing Power Parity (PPP) 00:02:00 Section 02: Global Capital Markets and Regional Trade Zones Global Capital Markets and Regional Trade Zones 00:04:00 The World Bank 00:01:00 Adapting to the Times and the WTO 00:03:00 The Organisation for Economic Cooperation and Development (OECD) 00:01:00 Emerging Markets and Regional Trade Zones 00:02:00 Asian-Pacific Economic Cooperation (APEC) 00:02:00 Section 03: International Business Strategies International Business Strategies 00:02:00 Free Trade Zones 00:02:00 Multinational Enterprise Structures 00:06:00 The Organizational Structure of a Multinational Company 00:03:00 International Marketing 00:02:00 Phases of International Marketing Involvement 00:02:00 Global Marketing 00:01:00 Demographic Factors Affecting International Trade 00:04:00 Ageing and Comparative Advantage 00:04:00 Changes in Labour Force Composition 00:01:00 Section 04: Demographic Factors / International Accounting / Cross Border HR MGMT International Accounting and Transfer Pricing 00:03:00 Basic Issue Underlying Transfer Pricing 00:04:00 Global Transfer Pricing Regimes 00:02:00 How to Implement a Cross-Border Human Resources Policy 00:08:00 Section 05: International Business Instruments and Agreements International Business Instruments 00:02:00 Trade Terms 00:05:00 International Shipping and Freight Forwarders 00:01:00 Freight Forwarder Fundamental Role 00:02:00 Cross Border Agreements 00:02:00 Taxable Presence 00:04:00 Accounting Issues 00:04:00 VAT/GST through Centralized Teams 00:02:00 Value for Customs 00:03:00

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