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Overview This comprehensive course on Clinical Data Analysis with SAS will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Clinical Data Analysis with SAS comes with accredited certification, 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 Clinical Data Analysis with SAS. It is available to all students, of all academic backgrounds. Requirements Our Clinical Data Analysis with SAS 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 5 sections • 30 lectures • 01:54:00 total length •Course Promo: 00:01:00 •1.1 Components of the Pharma Industry: 00:05:00 •1.2 Phases of Clinical Trials: 00:06:00 •1.3 Data and Reports in Clinical Trials: 00:04:00 •1.4 Types of Data: 00:05:00 •2.1 Clinical Study Protocol: 00:02:00 •2.2 Ethical Consent: 00:01:00 •2.3 Inclusion-Exclusion Criteria: 00:01:00 •2.4 Statistical Analysis Plan: SAP, Mockshell and CRF: 00:04:00 •3.1 General SAS Programming Steps: 00:02:00 •3.2 One Search Report: Demographics Table: 00:04:00 •3.3 Understanding the Demographics Table: 00:03:00 •3.4 Programming the Demographics Table: 00:05:00 •3.5 Importing Raw Demographic Data into the SAS: 00:04:00 •3.6 Deciding what Procedure to Use: 00:02:00 •3.7 Deriving the AGE variable: 00:10:00 •3.8 Obtaining Summary Statistics for AGE: 00:04:00 •3.9 Adding the 3rd Treatment Group using Explicit Output: 00:05:00 •3.10 Deriving the SEX variable: 00:03:00 •3.11 Obtaining Summary Statistics for SEX: 00:03:00 •3.12 Concatenating the COUNT and PERCENT Variables: 00:03:00 •3.13 Deriving the RACE Variable: 00:03:00 •3.14 Obtaining Summary Statistics for RACE: 00:03:00 •3.15 Stacking All the 3 Summary Statistics Together: 00:06:00 •3.16 Fixing the Precision Points: 00:04:00 •3.17 Transposing Data: 00:03:00 •3.18 Fixing the Order of Statistical Parameters: 00:05:00 •3.19 Building the Final Report: 00:02:00 •3.20 Putting the Final Touches to the Report: 00:11:00 •Resources - Clinical Data Analysis with SAS: 00:00:00
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Who is this course for: This JavaScript with Data Visualization course is ideal for: Aspiring web developers seeking to learn JavaScript. Data analysts interested in expanding their skillset. Web designers aiming to enhance their interactivity skills. Software engineers looking to broaden their coding repertoire. Any tech enthusiast wanting to harness the power of Data Visualization. Certification After studying the course materials of the JavaScript with Data Visualization course, there will be a written assignment test which you can take either during or at the end of the course. After passing the test, you will have a range of certification options. A CPD Accredited PDF Certificate costs £4.99, while a CPD Accredited Hardcopy Certificate is £8.00. Also, a PDF Transcript costs £4.99, and a Hardcopy Transcript is £9.99. Select according to your needs, and we assure timely delivery of your chosen certificate. Requirements This professionally designed JavaScript with Data Visualization course does not require you to have any prior qualifications or experience. It is open to everyone, and you can access the course from anywhere at any time. Just enrol and start learning! Career Path: Upon completion of this JavaScript with Data Visualization course, you can gain the knowledge and skills required to pursue many career paths, such as: JavaScript Developer: £35,000 - £55,000 Per year. Front-end Developer: £40,000 - £60,000 Per year. Full-Stack Developer: £45,000 - £70,000 Per year. Data Visualization Engineer: £45,000 - £65,000 Per year. Web Application Developer: £40,000 - £60,000 Per year. Software Engineer: £50,000 - £80,000 Per year. Course Curriculum Introduction Getting Started Introduction to Getting Started 00:02:00 Course Curriculum 00:05:00 How to Get Pre-Requisites 00:02:00 Getting Started on Windows, Linux or Mac 00:01:00 How to ask a Great Questions 00:02:00 FAQ's 00:01:00 Setting up Local Development Environment What is JavaScript 00:09:00 Choosing Code Editor 00:03:00 Installing Code Editor (Sublime Text) 00:04:00 Installing Code Editor(Visual Studio Code) 00:07:00 Hello World Program 00:14:00 Getting Output 00:11:00 Summary 00:02:00 JavaScript Fundamentals Introduction 00:02:00 Internal JavaScript 00:13:00 External JavaScript 00:09:00 Inline JavaScript 00:04:00 Async and defer 00:06:00 Variables 00:13:00 Data Types 00:10:00 Numbers 00:06:00 Boolean 00:04:00 Arrays() 00:12:00 Objects 00:06:00 Comments 00:05:00 Summary 00:01:00 JavaScript Strings Introduction 00:02:00 Strings 00:06:00 String Formatting 00:05:00 String Methods 00:12:00 Summary 00:02:00 JavaScript Operators Introduction 00:02:00 Arithmetic operators 00:07:00 Assignment operators 00:03:00 Comparison operators 00:06:00 Logical operators 00:08:00 Summary 00:02:00 JavaScript Conditional Statements Introduction 00:02:00 If-else-if statement 00:04:00 If-else statement 00:05:00 If-else-if statement 00:04:00 Switch-case statement 00:09:00 Summary 00:01:00 JavaScript Control Flow Statements Introduction 00:02:00 While loop 00:09:00 Do-while loop 00:03:00 For loop 00:08:00 Break 00:02:00 Continue 00:03:00 Coding Exercise 00:02:00 Solution for Coding Exercise 00:02:00 Summary 00:02:00 JavaScript Functions Introduction 00:02:00 Creating a Function 00:07:00 Function Call() 00:07:00 Function with parameters 00:05:00 Function Bind() 00:06:00 Summary 00:01:00 Data Visualization (Google Chart) Introduction 00:01:00 How to Use Google chart script 00:04:00 Line Graph chart 00:14:00 Scatter plots chart 00:02:00 Bar chart 00:04:00 3D Pie chart 00:02:00 3D Pie chart 00:02:00 Summary 00:01:00 JavaScript Error Handling Introduction 00:01:00 Try-catch 00:05:00 Try-catch-finally 00:17:00 Summary 00:01:00 JavaScript Client-side Validations Introduction 00:01:00 On Submit Validation 00:09:00 Input Numeric Validation 00:12:00 Login Form Validation 00:05:00 Password Strength Check Validation 00:04:00 Summary 00:01:00