Register on the R Programming for Data Science today and build the experience, skills and knowledge you need to enhance your professional development and work towards your dream job. Study this course through online learning and take the first steps towards a long-term career. The course consists of a number of easy to digest, in-depth modules, designed to provide you with a detailed, expert level of knowledge. Learn through a mixture of instructional video lessons and online study materials. Receive online tutor support as you study the course, to ensure you are supported every step of the way. Get a digital certificate as a proof of your course completion. The R Programming for Data Science is incredibly great value and allows you to study at your own pace. Access the course modules from any internet-enabled device, including computers, tablet, and smartphones. The course is designed to increase your employability and equip you with everything you need to be a success. Enrol on the now and start learning instantly! What You Get With The R Programming for Data Science Receive a e-certificate upon successful completion of the course Get taught by experienced, professional instructors Study at a time and pace that suits your learning style Get instant feedback on assessments 24/7 help and advice via email or live chat Get full tutor support on weekdays (Monday to Friday) 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 Video lessons Online study materials Certification After the successful completion of the final assessment, you will receive a CPD-accredited certificate of achievement. The PDF certificate is for £9.99, and it will be sent to you immediately after through e-mail. You can get the hard copy for £15.99, which will reach your doorsteps by post. Who Is This Course For: The course is ideal for those who already work in this sector or are an aspiring professional. This course is designed to enhance your expertise and boost your CV. Learn key skills and gain a professional qualification to prove your newly-acquired knowledge. Requirements: The online training is open to all students and has no formal entry requirements. To study the R Programming for Data Science, all your need is a passion for learning, a good understanding of English, numeracy, and IT skills. You must also be over the age of 16. Course Content Unit 01: Data Science Overview Introduction to Data Science 00:01:00 Data Science: Career of the Future 00:04:00 What is Data Science? 00:02:00 Data Science as a Process 00:02:00 Data Science Toolbox 00:03:00 Data Science Process Explained 00:05:00 What's Next? 00:01:00 Unit 02: R and RStudio Engine and coding environment 00:03:00 Installing R and RStudio 00:04:00 RStudio: A quick tour 00:04:00 Unit 03: Introduction to Basics Arithmetic with R 00:03:00 Variable assignment 00:04:00 Basic data types in R 00:03:00 Unit 04: Vectors Creating a vector 00:05:00 Naming a vector 00:04:00 Arithmetic calculations on vectors 00:07:00 Vector selection 00:06:00 Selection by comparison 00:04:00 Unit 05: Matrices What's a Matrix? 00:02:00 Analyzing Matrices 00:03:00 Naming a Matrix 00:05:00 Adding columns and rows to a matrix 00:06:00 Selection of matrix elements 00:03:00 Arithmetic with matrices 00:07:00 Additional Materials 00:00:00 Unit 06: Factors What's a Factor? 00:02:00 Categorical Variables and Factor Levels 00:04:00 Summarizing a Factor 00:01:00 Ordered Factors 00:05:00 Unit 07: Data Frames What's a Data Frame? 00:03:00 Creating Data Frames 00:20:00 Selection of Data Frame elements 00:03:00 Conditional selection 00:03:00 Sorting a Data Frame 00:03:00 Additional Materials 00:00:00 Unit 08: Lists Why would you need lists? 00:01:00 Creating a List 00:06:00 Selecting elements from a list 00:03:00 Adding more data to the list 00:02:00 Additional Materials 00:00:00 Unit 09: Relational Operators Equality 00:03:00 Greater and Less Than 00:03:00 Compare Vectors 00:03:00 Compare Matrices 00:02:00 Additional Materials 00:00:00 Unit 10: Logical Operators AND, OR, NOT Operators 00:04:00 Logical operators with vectors and matrices 00:04:00 Reverse the result: (!) 00:01:00 Relational and Logical Operators together 00:06:00 Additional Materials 00:00:00 Unit 11: Conditional Statements The IF statement 00:04:00 IFELSE 00:03:00 The ELSEIF statement 00:05:00 Full Exercise 00:03:00 Additional Materials 00:00:00 Unit 12: Loops Write a While loop 00:04:00 Looping with more conditions 00:04:00 Break: stop the While Loop 00:04:00 What's a For loop? 00:02:00 Loop over a vector 00:02:00 Loop over a list 00:03:00 Loop over a matrix 00:04:00 For loop with conditionals 00:01:00 Using Next and Break with For loop 00:03:00 Additional Materials 00:00:00 Unit 13: Functions What is a Function? 00:02:00 Arguments matching 00:03:00 Required and Optional Arguments 00:03:00 Nested functions 00:02:00 Writing own functions 00:03:00 Functions with no arguments 00:02:00 Defining default arguments in functions 00:04:00 Function scoping 00:02:00 Control flow in functions 00:03:00 Additional Materials 00:00:00 Unit 14: R Packages Installing R Packages 00:01:00 Loading R Packages 00:04:00 Different ways to load a package 00:02:00 Additional Materials 00:00:00 Unit 15: The Apply Family - lapply What is lapply and when is used? 00:04:00 Use lapply with user-defined functions 00:03:00 lapply and anonymous functions 00:01:00 Use lapply with additional arguments 00:04:00 Additional Materials 00:00:00 Unit 16: The apply Family - sapply & vapply What is sapply? 00:02:00 How to use sapply 00:02:00 sapply with your own function 00:02:00 sapply with a function returning a vector 00:02:00 When can't sapply simplify? 00:02:00 What is vapply and why is it used? 00:04:00 Additional Materials 00:00:00 Unit 17: Useful Functions Mathematical functions 00:05:00 Data Utilities 00:08:00 Additional Materials 00:00:00 Unit 18: Regular Expressions grepl & grep 00:04:00 Metacharacters 00:05:00 sub & gsub 00:02:00 More metacharacters 00:04:00 Additional Materials 00:00:00 Unit 19: Dates and Times Today and Now 00:02:00 Create and format dates 00:06:00 Create and format times 00:03:00 Calculations with Dates 00:03:00 Calculations with Times 00:07:00 Additional Materials 00:00:00 Unit 20: Getting and Cleaning Data Get and set current directory 00:04:00 Get data from the web 00:04:00 Loading flat files 00:03:00 Loading Excel files 00:05:00 Additional Materials 00:00:00 Unit 21: Plotting Data in R Base plotting system 00:03:00 Base plots: Histograms 00:03:00 Base plots: Scatterplots 00:05:00 Base plots: Regression Line 00:03:00 Base plots: Boxplot 00:03:00 Unit 22: Data Manipulation with dplyr Introduction to dplyr package 00:04:00 Using the pipe operator (%>%) 00:02:00 Columns component: select() 00:05:00 Columns component: rename() and rename_with() 00:02:00 Columns component: mutate() 00:02:00 Columns component: relocate() 00:02:00 Rows component: filter() 00:01:00 Rows component: slice() 00:04:00 Rows component: arrange() 00:01:00 Rows component: rowwise() 00:02:00 Grouping of rows: summarise() 00:03:00 Grouping of rows: across() 00:02:00 COVID-19 Analysis Task 00:08:00 Additional Materials 00:00:00
Get Hard Copy + PDF Certificates + Transcript + Student ID Card worth £160 as a Gift - Enrol Now Give a compliment to your career and take it to the next level. This Python Data Science will provide you with the essential knowledge and skills required to shine in your professional career. Whether you want to develop skills for your next job or want to elevate skills for your next promotion, this Python Data Science will help you keep ahead of the pack. The Python Data Science incorporates basic to advanced level skills to shed some light on your way and boost your career. Hence, you can reinforce your professional skills and practical knowledge, reaching out to the level of expertise required for your position. Further, this Python Data Science will add extra value to your resume to stand out to potential employers. Along with this course, you will get 10 other premium courses. Also, you will get an original Hardcopy and PDF certificate for the title course and a student ID card absolutely free. This Bundle Consists of the following Premium courses: Course 1: Python Programming for Everybody Course 2: Higher Order Functions in Python - Level 03 Course 3: Learn to Use Python for Spatial Analysis in ArcGIS Course 4: Data Structures Complete Course Course 5: Basic Google Data Studio Course 6: Data Analytics with Tableau Course 7: Business Intelligence and Data Mining Masterclass Course 8: SQL Programming Complete Bundle Course 9: Decision Making and Critical Thinking Course 10: Time Management Enrol now,to advance your career, and use the premium study materials from Apex Learning. Benefits you'll get from choosing Apex Learning for this Python Data Science: Pay once and get lifetime access to 11 CPD courses including this Python Data Science Course Free e-Learning App for engaging reading materials & helpful assistance Certificates, student ID for the course included in a one-time fee Free up your time - don't waste time and money travelling for classes Accessible, informative modules designed by expert instructors Learn about at your ease - anytime, from anywhere Study from your computer, tablet or mobile device CPD accredited course - improve the chance of gaining professional skills The bundle incorporates basic to advanced level skills to shed some light on your way and boost your career. Hence, you can strengthen your Python Data Science expertise and essential knowledge, which will assist you in reaching your goal. Moreover, you can learn from any place in your own time without travelling for classes. Curriculum: Course 1: Data Science with Python Introduction Data Cleaning Packages Data Visualization packages Course 2: Python Programming for Everybody Module 01 A Installing Python Documentation Command Line Variables Simple Syntax Keywords Import Module Module 02 Additional Topics If Elif Else Iterable For Loops Execute Exceptions Module 03 Data Types Number Types More Number Types Strings More Strings Files Lists Dictionaries Tuples Sets Module 04 Comprehensions Definitions Functions Default Arguments Doc Strings Variadic Functions Factorial Module 05 Function Objects Lambda Generators Closures Classes Object Initialization Class Static Members Classic Inheritance Data Hiding How will I get my Certificate? After successfully completing the course you will be able to order your CPD Accredited Certificates (PDF + Hard Copy) as proof of your achievement. PDF Certificate: Free (Previously it was £6*11 = £66) Hard Copy Certificate: Free (For The Title Course: Previously it was £10) CPD 110 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Anyone from any background can enrol in this bundle. Requirements This course has been designed to be fully compatible with tablets and smartphones. Career path Having these various certifications will increase the value in your CV and open you up to multiple job sectors. Certificates Certificate of completion Digital certificate - Included Certificate of completion Hard copy certificate - Included You will get the Hard Copy certificate for the title course (Data Science with Python) absolutely Free! Other Hard Copy certificates are available for £10 each. Please Note: The delivery charge inside the UK is £3.99, and the international students must pay a £9.99 shipping cost.
Overview Data and visual analytics are emerging fields concerned with analysing, modelling, and visualizing complex high-dimensional data. It can be analysed and visualised with many languages like Python, R Programming and more. This course will help to attain the skills and give in-depth knowledge to the participant's enhanced way of modelling, analysing and visualizing techniques. The course will highlight practical challenges including composite real-world data and will also comprise several practical studies
Build 9 projects to master 2 essential and modern technologies: Python and PostgreSQL
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Course Description Enrich your knowledge from the bite-sized Human Behaviour Fundamentals course. In this course, you will learn the basics of human behaviour and psychology. The course will discuss the evolutionary perspective of human behaviour in detail. You will be able to enrich your knowledge of Neuro-Linguistic Programming from the easy to follow modules. Here, you will also study the fundamentals of learning and conditioning. Enrol in this Human Behaviour Fundamentals course to prepare for a career in the relevant industry. Learning Outcomes Learn the fundamentals of human behaviour Understand the process of learning and conditioning Familiarise with the steps of Neuro-Linguistic Programming Enrich your knowledge of language and communication How Much Do Psychologists Earn? Senior - £59,000(Apprx.) Mid Career - £36,000(Apprx.) Starting - £22,000(Apprx.) Requirements Our Human Behaviour Fundamentals is fully compatible with any kind of device. Whether you are using Windows computer, Mac, smartphones or tablets, you will get the same experience while learning. Besides that, you will be able to access the course with any kind of internet connection from anywhere at any time without any kind of limitation. Human Behaviour Fundamentals Module 01: Human Behaviour and Basic Psychological Process 00:21:00 Module 02: Evolutionary Perspective of Human Behaviour 00:23:00 Module 03: Learning and Conditioning 00:21:00 Module 04: Language and Communication 00:27:00 Module 05: Neuro-Linguistic Programming (NLP) 00:22:00 Assignment Assignment - Human Behaviour Fundamentals 00:00:00
Embark on a transformative journey into the realm of precision and efficiency with our course, 'Programming AutoCAD with SQL Server Database Using C#.' Delve into the intricacies of marrying AutoCAD functionality with the power of SQL Server databases through the lens of C#. In this immersive learning experience, you'll progress seamlessly from laying the groundwork in Sections 1 and 2, exploring tools and SQL queries, to the advanced stages of Section 7, mastering the art of deleting data in SQL Server databases directly from AutoCAD. This course is more than a mere exploration of coding; it's a creative odyssey where you sculpt the future of design and data integration, unlocking a realm of possibilities with every line of code. Learning Outcomes Tool Proficiency and SQL Mastery: Gain expertise in the tools essential for AutoCAD programming and unravel the complexities of SQL queries, setting the foundation for database manipulation. Database Creation and Table Design: Learn to create databases and design tables, ensuring a structured and efficient storage system for your AutoCAD projects. Data Loading Techniques: Master the techniques of loading data into SQL Server databases, streamlining the process of transferring AutoCAD information to the database seamlessly. Efficient Data Retrieval: Acquire the skills to retrieve data from databases, enhancing your ability to access and utilize information stored within the SQL Server infrastructure. Data Manipulation Mastery: Explore the intricacies of updating and deleting data in SQL Server databases directly from AutoCAD, revolutionizing your approach to data management within the AutoCAD environment. Why choose this Programming AutoCAD with SQL Server Database Using C# course? Unlimited access to the course for a lifetime. Opportunity to earn a certificate accredited by the CPD Quality Standards and CIQ after completing this course. Structured lesson planning in line with industry standards. Immerse yourself in innovative and captivating course materials and activities. Assessments designed to evaluate advanced cognitive abilities and skill proficiency. Flexibility to complete the Course at your own pace, on your own schedule. Receive full tutor support throughout the week, from Monday to Friday, to enhance your learning experience. Unlock career resources for CV improvement, interview readiness, and job success. Who is this Programming AutoCAD with SQL Server Database Using C# course for? Aspiring programmers eager to elevate their skills in AutoCAD and SQL Server integration. Design professionals seeking to streamline their workflow through efficient database utilization. Students and enthusiasts interested in the intersection of design and database management. Engineers and architects aiming to enhance their AutoCAD capabilities with dynamic data manipulation. Individuals keen on mastering C# for advanced applications in the AutoCAD environment. Career path CAD Programmer: £30,000 - £45,000 Database Integration Specialist: £35,000 - £50,000 Software Engineer (AutoCAD): £40,000 - £55,000 Database Administrator: £35,000 - £50,000 Architectural Technologist: £30,000 - £45,000 Engineering Software Developer: £45,000 - £60,000 Prerequisites This Programming AutoCAD with SQL Server Database Using C# does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Programming AutoCAD with SQL Server Database Using C# was made by professionals and it is compatible with all PC's, Mac's, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection. Certification After studying the course materials, there will be a written assignment test which you can take at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £4.99 Original Hard Copy certificates need to be ordered at an additional cost of £8. Course Curriculum Section 01: Introduction Course Topics 00:02:00 Introduction 00:02:00 Section 2 - Tools And SQL Queries Section Overview 00:01:00 Downloading Visual Studio 2019 00:01:00 Downloading SQL Server Express 00:02:00 Downloading SQL Server Management Studio (SSMS) 00:01:00 SQL Queries - Overview 00:03:00 INSERT SQL Statement - Demo 00:13:00 SELECT SQL Statement - Demo 00:08:00 UPDATE SQL Statement - Demo 00:08:00 DELETE SQL Statement - Demo 00:11:00 Section 3 - Create Database And Tables Section Overview 00:01:00 Creating the CADDB Database 00:03:00 Creating the Lines Table 00:07:00 Creating the MTexts Table 00:04:00 Creating the Plines Table 00:04:00 Creating the Blocks No Attribute Table 00:04:00 Creating the Blocks With Attributes Table 00:04:00 Section 4 - Loading Into SQL Server Database Section Overview 00:02:00 Loading Lines into SQL Server Database 00:01:00 Creating the CADDB Project 00:04:00 Creating the Settings File 00:04:00 Creating the Get Connection Method 00:03:00 Creating the LoadLines() Method 00:22:00 Creating the User Interface for the LoadLines() method 00:07:00 Running the LoadLines() Method 00:05:00 Loading MTexts into SQL Server Database - Overview 00:01:00 Creating the LoadMTexts() Method 00:10:00 Running the LoadMTexts() Method 00:06:00 Loading LWPolylines into SQL Server Database - Overview 00:01:00 Creating the LoadPolylines() Method 00:13:00 Running the LoadPlines() Method 00:03:00 Running the LoadPlines() Method 00:03:00 Creating the LoadBlocksNoAttribute() Method 00:11:00 Running the LoadBlocksNoAttribute() Method 00:03:00 Loading Blocks (with Attributes) into SQL Server Database - Overview 00:01:00 Creating the LoadBlocksWithAttributes() Method 00:07:00 Running the BlocksWithAttributes() Method 00:02:00 Section 5 - Retrieving Data From Database Section Overview 00:02:00 Retrieving Lines from SQL Server Database - Overview 00:01:00 Creating the DBRetrieveUtil Class 00:03:00 Creating the RetrieveAndDrawLines() Method (Part 1) 00:17:00 Creating the GetColorIndex() Method 00:05:00 Creating the RetrieveAndDrawLines() Method (Part 2) 00:11:00 Running and Testing the RetrieveAndDrawLines() Method 00:09:00 Retrieving MTexts from SQL Server Database - Overview 00:01:00 Creating the RetrieveAndDrawMTexts() Method 00:11:00 Running and Testing the CreateAndDrawMTexts() Method 00:05:00 Retrieving LWPolylines from SQL Server Database - Overview 00:01:00 Creating the RetrieveAndDrawPlines() Method 00:12:00 Running and Testing the RetrieveAndDrawPlines() Method 00:05:00 Retrieving Blocks (No Attribute) from SQL Server Database - Overview 00:01:00 Creating the RetrieveAndDrawBlocksNoAttribute() Method 00:11:00 Running and Testing the RetrieveAndDrawBlocksNoAttribute() Method 00:05:00 Retrieving Blocks (with Attributes) from SQL Server Database - Overview 00:01:00 Creating the RetrieveAndDrawBlocksWithAttributes() Method 00:21:00 Running and Testing the RetrieveAndDrawBlocksWithAttributes() Method 00:10:00 Section 6 - Updating Data In SQL Server Database - Overview Section Overview 00:01:00 Updating Lines in SQL Server Database - Overview 00:01:00 Creating the DBUpdateUtil Class 00:02:00 Creating the UpdateLines() Method 00:25:00 Creating the User Interface for UpdateLines() Method 00:02:00 Running and Testing the UpdateLines() Method 00:08:00 Updating MTexts in SQL Server Database - Overview 00:01:00 Creating the UpdateMTexts() Method 00:09:00 Creating the User Interface for UpdateMTexts() 00:01:00 Running and Testing the UpdateMTexts() Method 00:07:00 Updating the LWPolylines in SQL Server Database - Overview 00:01:00 Creating the UpdateLWPolylines() Method 00:09:00 Running and Testing the UpdateLWPolylines() Method 00:07:00 Updating Blocks (No Attributes) in SQL Server Database - Overview 00:01:00 Creating the UpdateBlocksNoAttributes() Method 00:10:00 Creating the User Interface for UpdateBlocksNoAttributes() Method 00:01:00 Running and Testing the UpdateBlocksNoAttributes() Method 00:04:00 Updating Blocks With Attributes in SQL Server Database - Overview 00:01:00 Creating the UpdateBlocksWithAttributes() Method 00:08:00 Creating the User Interface for UpdateBlocksNoAttributes() Method 00:01:00 Running and Testing the UpdateBlocksWithAttributes() Method 00:09:00 Section 7 - Deleting Data In SQL Server Database From AutoCAD - Overview Section Overview@ 00:02:00 Deleting Lines in SQL Server from AutoCAD - Overview 00:01:00 Creating the DBDeleteUtil Class 00:01:00 Creating the DeleteLines() Method 00:13:00 Creating the User Interface for the DeleteLines() Method 00:02:00 Running and Testing the DeleteLines() Method 00:04:00 Deleting MTexts in SQL Server Database from AutoCAD - Overview 00:01:00 Creating the DeleteMTexts() Method 00:04:00 Creating the User Interface for DeleteMTexts() Method 00:01:00 Running and Testing the DeleteMTexts() Method 00:03:00 Deleting LWPolylines in SQL Server Database from AutoCAD - Overview 00:01:00 Creating the DeletePlines() Method 00:04:00 Creating the User Interface for the DeletePlines() Method 00:01:00 Running and Testing the DeletePlines() Method 00:02:00 Deleting Blocks (No Attribute) in SQL Server Database from AutoCAD - Overview 00:01:00 Creating the DeleteBlocksNoAttribute() Method 00:03:00 Creating the User Interface for DeleteBlocksNoAttribute() Method 00:01:00 Running and Testing DeleteBlocksNoAttribute() Method 00:02:00 Deleting Blocks (With Attributes) in SQL Server Database from AutoCAD - Overview 00:01:00 Creating the DeleteBlocksWithAttributes() Method 00:02:00 Creating the User Interface for DeleteBlocksWithAttributes() Method 00:01:00 Running and Testing the DeleteBlocksWithAttributes() Method 00:02:00
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