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Description: Released by Microsoft, Microsoft Access 2016 is a data-based organization program created to help users analyze data and information. This application deals with managing related data being more efficient compared to other spreadsheet applications. It is impossible to become expert in using this application if you don't know how to use Access 2016 works which this Microsoft Office 2016 Access Advanced - Complete Video Course is all about. Dealing with large amount of data can be stressful if you don't know how to use this Office application in the first place. Using data validation, macros, and implementing advanced form design are some of the features of Access 2016 so take the opportunity to take this course will help you utilize these and more. Assessment: At the end of the course, you will be required to sit for an online MCQ test. Your test will be assessed automatically and immediately. You will instantly know whether you have been successful or not. Before sitting for your final exam you will have the opportunity to test your proficiency with a mock exam. Certification: After completing and passing the course successfully, you will be able to obtain an Accredited Certificate of Achievement. Certificates can be obtained either in hard copy at a cost of £39 or in PDF format at a cost of £24. Who is this Course for? Microsoft Office 2016 Access Advanced - Complete Video Course is certified by CPD Qualifications Standards and CiQ. This makes it perfect for anyone trying to learn potential professional skills. As there is no experience and qualification required for this course, it is available for all students from any academic background. Requirements Our Microsoft Office 2016 Access Advanced - Complete Video Course is fully compatible with any kind of device. Whether you are using Windows computer, Mac, smartphones or tablets, you will get the same experience while learning. Besides that, you will be able to access the course with any kind of internet connection from anywhere at any time without any kind of limitation. Career Path After completing this course you will be able to build up accurate knowledge and skills with proper confidence to enrich yourself and brighten up your career in the relevant job market. Module 01 Add Controls to Forms FREE 00:11:00 Enhance Navigation and Organization of Forms 00:14:00 Apply Conditional Formatting 00:04:00 Module 02 Import Data into Access 00:08:00 Export Access Data 00:06:00 Link Tables to External Data Sources 00:05:00 Create a Mail Merge 00:02:00 Module 03 Create a Macro 00:08:00 Restrict Records by Using a Condition 00:04:00 Validate Data by Using a Macro 00:05:00 Automate Data Entry by Using a Macro 00:04:00 Module 04 Manage a Database 00:08:00 Determine Object Dependency 00:04:00 Module 05 Manage a Database 00:07:00 Determine Object Dependency 00:04:00 Document a Database 00:04:00 Module 06 Splitting a Database for Multiple User Access 00:05:00 Implement Security 00:03:00 Convert an Access Database to an ACCDE File 00:04:00 Package a Database with a Digital Signature 00:01:00 Module 07 Create a Database Switchboard 00:05:00 Modify a Database Switchboard 00:02:00 Set Start up Options 00:04:00 Mock Exam Mock Exam- Microsoft Office 2016 Access Advanced - Complete Video Course 00:20:00 Final Exam Final Exam- Microsoft Office 2016 Access Advanced - Complete Video Course 00:20:00 Order Your Certificate and Transcript Order Your Certificates and Transcripts 00:00:00

A Complete Guide for Effective LinkedIn Ads' is a comprehensive course that covers the fundamentals of setting up and managing successful LinkedIn Ads campaigns. Participants will learn to drive website traffic, utilize sponsored messages, generate leads, and effectively manage billing centers on the platform. Learning Outcomes: Understand the basics of LinkedIn Ads and their role in digital marketing. Learn how to set up LinkedIn Ads to drive targeted website traffic. Discover techniques for leveraging sponsored messages to engage with the audience. Acquire the skills to create and optimize LinkedIn Ads for lead generation. Gain proficiency in managing the billing center for efficient campaign budgeting and monitoring. Why buy this Excel VBA/Macros Foundations? Unlimited access to the course for forever Digital Certificate, Transcript, student ID all included in the price Absolutely no hidden fees Directly receive CPD accredited qualifications after course completion Receive one to one assistance on every weekday from professionals Immediately receive the PDF certificate after passing Receive the original copies of your certificate and transcript on the next working day Easily learn the skills and knowledge from the comfort of your home Certification After studying the course materials of the Excel VBA/Macros Foundations there will be a written assignment test which you can take either during or at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £5.99. Original Hard Copy certificates need to be ordered at an additional cost of £9.60. Who is this course for? This Excel VBA/Macros Foundations course is ideal for Students Recent graduates Job Seekers Anyone interested in this topic People already working in the relevant fields and want to polish their knowledge and skill. Prerequisites This Excel VBA/Macros Foundations does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Excel VBA/Macros Foundations 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. Career path As this course comes with multiple courses included as bonus, you will be able to pursue multiple occupations. This Excel VBA/Macros Foundations is a great way for you to gain multiple skills from the comfort of your home. Course Curriculum Section 01: Introduction Recording Macros vs Writing VBA 00:04:00 Understanding Objects in Excel VBA 00:07:00 Understanding VBA Syntax and Parts of Speech 00:10:00 Activating the Developer tab 00:01:00 Recording a basic Macro 00:05:00 Absolute vs Relative Macro recording 00:04:00 Section 02: Exploring the Visual Basic Environment Introduction to the Visual Basic Environment 00:02:00 The Project Explorer 00:02:00 The Properties Window 00:02:00 The Code Window 00:04:00 Immediate, Locals and Watch Window 00:03:00 Dealing with Modules 00:03:00 Comments in Excel VBA 00:01:00 Section 03: The Range Object Introduction and Changing Cell Values 00:10:00 Adding a text to a cell 00:01:00 Dealing with Named Ranges 00:03:00 Value vs Text Property 00:04:00 Row and Column properties 00:02:00 The Select Method 00:02:00 The Count Property 00:04:00 The Address Property 00:09:00 The Formula Property 00:03:00 The Number Format Property 00:07:00 The Font Property 00:08:00 Section 04: Understanding the Cells Collection Object What is the cells object? 00:06:00 Using the Cells collection to affect cells positionally within a range 00:05:00 Affecting all cells within a sheet 00:02:00 Combining Range and cells objects 00:03:00 Section 05: Working with Sheets/Worksheets Selecting Sheets 00:06:00 Adding Sheets 00:11:00 Sheets vs Worksheets 00:04:00 Copying Sheets 00:05:00 Moving Sheets 00:01:00 Deleting Sheets 00:04:00 Section 06: Understanding Variables in Excel VBA Introduction to Variables 00:06:00 Variable Data Types 00:09:00 Declaring Variables 00:14:00 Object Variables 00:08:00 Calling a procedure from Another Procedure & Variable Scope 00:03:00 Public and Private Variables 00:07:00 Declaring Constants 00:04:00 Exercises-Variables 00:06:00 Section 07: Dealing with Workbooks Referring to Workbooks-Different ways 00:04:00 Closing Workbooks 00:03:00 Adding and Saving Workbooks Part 1 - Save method 00:04:00 Adding and Saving Workbooks Part 2 - Save as method 00:10:00 Opening Workbooks 00:06:00 Section 08: Must Know Excel VBA Logic Finding the Last row 00:09:00 Finding the Last Column 00:04:00 Finding the next row 00:04:00 The WITH Statement 00:04:00 Comparison operators in Excel VBA 00:01:00 IF Statements- Simple IF Statements 00:07:00 IF THEN ELSE Structure 00:03:00 IF THEN ELSEIF Structure 00:07:00 Nested IFs 00:04:00 OR - AND logical operators 00:07:00 NOT Logical operator 00:03:00 CASE Statements Part 1 - Single Case Statements 00:09:00 CASE Statements Part 2 - Nested Case Statements 00:06:00 Case Statements-Exercise 00:01:00 GOTO and Labels 00:03:00 Section 09: Looping in Excel VBA Loops-Introduction 00:01:00 FOR NEXT Loop 00:11:00 Exit For 00:09:00 Exercise - For Next loop 00:01:00 FOR EACH Loop - Intro 00:07:00 FOR EACH Loops - More examples 00:05:00 Do Loop - Introduction 00:04:00 Do Loop Example 00:01:00 Do Until 00:02:00 Do While 00:02:00 Do while vs Do until - Movies Example 00:04:00 Exit Do Statement 00:05:00 Exercise - Do Loop 00:01:00 Section 10: Interacting with Your Users The Messagebox - Introduction 00:03:00 Messagebox -Inputs 00:07:00 Messagebox - Capturing the User's input 00:05:00 Adding a new line to your VBA Strings 00:02:00 The Inputbox - introduction 00:04:00 Inputbox - Example1 - Capturing a user's name 00:05:00 Inputbox -Employee Database Example Part 1 00:05:00 Inputbox -Employee Database Example Part 2 00:04:00 Exercise - InputBox 00:02:00 Section 11: Error Handling in Excel VBA Error Handling - Introduction 00:09:00 Different Error types in action 00:04:00 On Error Goto statement 00:04:00 Resetting the error handling Status with On Error Goto 00:02:00 The Err Object 00:07:00 Setting a Breakpoint 00:02:00 Section 12: Triggering Code with Events! Worksheet Events -Selection change 00:08:00 Worksheet Events - Worksheet Activate event 00:03:00 Worksheet Events - Deactivate event 00:02:00 Worksheet Events - Before Delete Event 00:02:00 Worksheet Events - Before Double click event 00:08:00 Worksheet Events - Before Right Click event 00:03:00 Worksheet Events - Calculate event 00:03:00 Enabling and Disabling Events 00:03:00 Worksheet events - Worksheet change event 00:11:00 Workbook Events - Follow Hyperlink event 00:02:00 Worksheet events -Exercise 00:01:00 Workbook Events - Workbook open event 00:05:00 Workbook Events - Workbook Activate event 00:02:00 Workbook Events - Workbook Before save event 00:06:00 Workbook Events - Workbook Aftersave event 00:04:00 Workbook Events - Workbook Beforeclose event 00:09:00 Workbook Events - Workbook BeforePrint event 00:03:00 Workbook Events -Workbook De-activate events 00:02:00 Workbook Events - New Chart event 00:08:00 Workbook Events -New sheet event 00:03:00 Workbook Events - Sheet calculate event 00:03:00 Workbook Events - Sheet De-activate event 00:06:00 Workbook Events - Follow Hyperlink event 00:02:00 Workbook Events - Workbook Window Activate event 00:06:00 Workbook Events - Workbook Window De-Activate event 00:02:00 Workbook Events - Window Resize event 00:02:00 Exercise- Workbook Events 00:01:00 Resources Resources - Excel VBA/Macros Foundations 00:00:00 Assignment Assignment - Excel VBA/Macros Foundations 00:00:00

Learn how to build a login and registration system using PHP, MySQL, and Ajax

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Level 2 Microsoft Office Essentials Microsoft Teams Leadership & Management Diploma Working from Home Essentials Mental Health and Working from Home Online Meeting Management Effective Communication Skills Time Management Report Writing Emotional Intelligence and Human Behaviour Curriculum ***Data Science Course Bundle 2022*** Welcome, Course Introduction & overview, and Environment set-up Welcome & Course Overview Set-up the Environment for the Course (lecture 1) Set-up the Environment for the Course (lecture 2) Two other options to setup environment Python Essentials Python data types Part 1 Python Data Types Part 2 Loops, List Comprehension, Functions, Lambda Expression, Map and Filter (Part 1) Loops, List Comprehension, Functions, Lambda Expression, Map and Filter (Part 2) Python Essentials Exercises Overview Python Essentials Exercises Solutions Python for Data Analysis using NumPy What is Numpy? A brief introduction and installation instructions. NumPy arrays, built-in methods, array methods and attributes. Indexing, slicing, broadcasting & boolean masking Arithmetic Operations & Universal Functions Exercises Overview Exercises Solutions Python for Data Analysis using Pandas What is pandas? A brief introduction and installation instructions. Pandas Introduction Pandas Data Structures - Series Pandas Data Structures - DataFrame Handling Missing Data Data Wrangling - Combining, merging, joining Groupby Useful Methods and Operations Project 1 (Overview) Customer Purchases Data Project 1 (Solutions) Customer Purchases Data Project 2 (Overview) Chicago Payroll Data Project 2 (Solutions Part 1) Chicago Payroll Data Python for Data Visualization using matplotlib Matplotlib Essentials (Part 1) - Basic Plotting & Object Oriented Approach Matplotlib Essentials (Part 2) - Basic Plotting & Object Oriented Approach Matplotlib Essentials (Part 3) - Basic Plotting & Object Oriented Approach Matplotlib Essentials - Exercises Overview Matplotlib Essentials - Exercises Solutions Python for Data Visualization using Seaborn Introduction & Installation Distribution Plots Categorical Plots (Part 1) Categorical Plots (Part 2) Axis Grids Matrix Plots Regression Plots Controlling Figure Aesthetics Exercises Overview Exercise Solutions Python for Data Visualization using pandas Pandas Built-in Data Visualization Pandas Data Visualization Exercises Overview Panda Data Visualization Exercises Solutions Python for interactive & geographical plotting using Plotly and Cufflinks Interactive & Geographical Plotting (Part 1) Interactive & Geographical Plotting (Part 2) Interactive & Geographical Plotting Exercises (Overview) Interactive & Geographical Plotting Exercises (Solutions) Capstone Project - Python for Data Analysis & Visualization Project 1 - Oil vs Banks Stock Price during recession (Overview) Project 1 - Oil vs Banks Stock Price during recession (Solutions Part 1) Project 1 - Oil vs Banks Stock Price during recession (Solutions Part 2) Project 1 - Oil vs Banks Stock Price during recession (Solutions Part 3) Project 2 (Optional) - Emergency Calls from Montgomery County, PA (Overview) Python for Machine Learning (ML) - scikit-learn - Linear Regression Model Introduction to ML - What, Why and Types….. Theory Lecture on Linear Regression Model, No Free Lunch, Bias Variance Tradeoff Linear Regression Model - Hands-on (Part 1) Linear Regression Model Hands-on (Part 2) Good to know! How to save and load your trained Machine Learning Model! Linear Regression Model (Insurance Data Project Overview) Linear Regression Model (Insurance Data Project Solutions) Python for Machine Learning - scikit-learn - Logistic Regression Model Theory: Logistic Regression, conf. mat., TP, TN, Accuracy, Specificity…etc. Logistic Regression Model - Hands-on (Part 1) Logistic Regression Model - Hands-on (Part 2) Logistic Regression Model - Hands-on (Part 3) Logistic Regression Model - Hands-on (Project Overview) Logistic Regression Model - Hands-on (Project Solutions) Python for Machine Learning - scikit-learn - K Nearest Neighbors Theory: K Nearest Neighbors, Curse of dimensionality …. K Nearest Neighbors - Hands-on K Nearest Neighbors (Project Overview) K Nearest Neighbors (Project Solutions) Python for Machine Learning - scikit-learn - Decision Tree and Random Forests Theory: D-Tree & Random Forests, splitting, Entropy, IG, Bootstrap, Bagging…. Decision Tree and Random Forests - Hands-on (Part 1) Decision Tree and Random Forests (Project Overview) Decision Tree and Random Forests (Project Solutions) Python for Machine Learning - scikit-learn -Support Vector Machines (SVMs) Support Vector Machines (SVMs) - (Theory Lecture) Support Vector Machines - Hands-on (SVMs) Support Vector Machines (Project 1 Overview) Support Vector Machines (Project 1 Solutions) Support Vector Machines (Optional Project 2 - Overview) Python for Machine Learning - scikit-learn - K Means Clustering Theory: K Means Clustering, Elbow method ….. K Means Clustering - Hands-on K Means Clustering (Project Overview) K Means Clustering (Project Solutions) Python for Machine Learning - scikit-learn - Principal Component Analysis (PCA) Theory: Principal Component Analysis (PCA) Principal Component Analysis (PCA) - Hands-on Principal Component Analysis (PCA) - (Project Overview) Principal Component Analysis (PCA) - (Project Solutions) Recommender Systems with Python - (Additional Topic) Theory: Recommender Systems their Types and Importance Python for Recommender Systems - Hands-on (Part 1) Python for Recommender Systems - - Hands-on (Part 2) Python for Natural Language Processing (NLP) - NLTK - (Additional Topic) Natural Language Processing (NLP) - (Theory Lecture) NLP-Challenges, Data Sources, Data Processing ….. Feature Engineering and Text Preprocessing in Natural Language Processing NLP - Tokenization, Text Normalization, Vectorization, BoW…. BoW, TF-IDF, Machine Learning, Training & Evaluation, Naive Bayes … Pipeline feature to assemble several steps for cross-validation… 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 £10 * 11 = £110) Hard Copy Certificate: Free (For The Title Course) If you want to get hardcopy certificates for other courses, generally you have to pay £20 for each. But this Fall, Apex Learning is offering a Flat 50% discount on hard copy certificates, and you can get each for just £10! P.S. The delivery charge inside the U.K. is £3.99 and the international students have to pay £9.99. CPD 20 CPD hours / points Accredited by CPD Quality Standards Who is this course for? There is no experience or previous qualifications required for enrolment on this Data Science Course Bundle 2022. It is available to all students, of all academic backgrounds. Requirements Our Data Science Course Bundle 2022 is fully compatible with PC's, Mac's, Laptop, Tablet and Smartphone devices. This course has been designed to be fully compatible on tablets and smartphones so you can access your course on wifi, 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 this CPD certificate 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. Certificates Certificate of completion Digital certificate - Included

[vc_row][vc_column][vc_column_text] Description: This Python Basic to Advanced for Data Science Online Course is a great way to get started in programming. It covers the study of the Python language used to build most of the world's object-oriented systems. The course is for interested students with a good level of computer literacy who wish to acquire programming skills. It is also ideal for those who wish to move to a developer role or areas such as software engineering. This is a great course to develop your coding skills. This Python Basic to Advanced for Data Science Online Course is an ideal preliminary to the Object-Oriented Programming using Python. Join the course now! Entry Requirement This course is available to all learners, of all academic backgrounds. Learners should be aged 16 or over to undertake the qualification. Good understanding of English language, numeracy and ICT are required to attend this course. Certification: After completing the course successfully, you will be able to obtain an Accredited Certificate of Achievement. Certificates can be obtained either in hard copy at a cost of £39 or in PDF format at a cost of £24. Why choose us? Affordable, engaging & high-quality e-learning study materials; Tutorial videos/materials from the industry leading experts; Study in a user-friendly, advanced online learning platform; The UK & internationally recognized accredited qualification; Access to course content on mobile, tablet or desktop from anywhere anytime; The benefit of career advancement opportunities; 24/7 student support via email. Career Path After completing this course you will be able to build up accurate knowledge and skills with proper confidence to enrich yourself and brighten up your career in the relevant job market.[/vc_column_text][/vc_column][/vc_row] Python 3 Beginners Module 01 Introduction FREE 00:29:00 Starter Examples 00:33:00 Learning C Concepts 00:13:00 Module 02 Data Types and Inference 00:20:00 Sizeof and IEEE 754 00:33:00 Constants L and R Values 00:11:00 Operators and Precedence 00:25:00 Literals 00:26:00 Module 03 Classes and Structs FREE 00:22:00 Enums 00:14:00 Unions 00:16:00 Introduction to Pointers 00:11:00 Pointers and Array Indexing 00:12:00 Using Const with Pointers 00:09:00 Pointers to String Literals 00:12:00 References 00:14:00 Smart Pointers 00:22:00 Arrays 00:15:00 Standard Library Strings 00:13:00 More Standard Library Strings 00:18:00 Functions 00:06:00 More Functions 00:16:00 Function Pointers 00:15:00 Control Statements 00:18:00 Python 3 Intermediate Module 04 Installing Python FREE 00:17:00 Documentation 00:30:00 Command Line 00:17:00 Variables 00:29:00 Simple Python Syntax 00:15:00 Keywords 00:18:00 Import Module 00:17:00 Additional Topics 00:23:00 Module 05 If Elif Else 00:31:00 Iterable 00:10:00 For 00:11:00 Loops 00:20:00 Execute 00:05:00 Exceptions 00:18:00 Data Types 00:24:00 Module 06 Number Types 00:28:00 More Number Types 00:13:00 Strings 00:20:00 More Strings 00:11:00 Files 00:08:00 Lists 00:15:00 Dictionaries 00:04:00 Tuples 00:07:00 Sets 00:09:00 Module 07 Comprehensions 00:10:00 Definitions 00:02:00 Functions 00:06:00 Default Arguments 00:06:00 Doc Strings 00:06:00 Variadic Functions 00:07:00 Factorial 00:07:00 Function Objects 00:07:00 Module 08 Lambda 00:11:00 Generators 00:06:00 Closures 00:10:00 Classes 00:09:00 Object Initialization 00:05:00 Class Static Members 00:07:00 Classic Inheritance 00:10:00 Data Hiding 00:07:00 Python 3 Advanced Iterators and Generators FREE 00:16:00 Regular Expressions 00:19:00 Introspection and Lambda Functions 00:27:00 Metaclasses and Decorators 00:24:00 Modules and Packages 00:25:00 Working with APIs 00:15:00 Metaprogramming Primer 00:19:00 Decorators and Monkey Patching 00:21:00 XML and JSON Structure 00:10:00 Generating XML and JSON 00:17:00 Parsing XML and JSON 00:19:00 Implementing Algorithms 00:19:00 Certificate and Transcript Order Your Certificates and Transcripts 00:00:00

Overview This comprehensive course on Lightroom Photo Editing will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Lightroom Photo Editing 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 Lightroom Photo Editing. It is available to all students, of all academic backgrounds. Requirements Our Lightroom Photo Editing 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 6 sections • 44 lectures • 06:02:00 total length •Module 01: Introduction: 00:03:00 •Module 02: Editing Overview: 00:02:00 •Module 03: Importing, Catalogue and Sub Folders: 00:05:00 •Module 04: Advanced Organising: 00:04:00 •Module 05: Hidden Gems in Lightroom: 00:03:00 •Module 06: Overview of the Lightroom Panels: 00:04:00 •Module 01: Understand the Histogram: 00:05:00 •Module 02: Local Adjustments: 00:10:00 •Module 03: Basics of Global Adjustments: 00:09:00 •Module 04: Tone Curves: 00:05:00 •Module 05: Hue, Saturation & Luminance: 00:05:00 •Module 06: Split Toning: 00:03:00 •Module 07: Sharpening & Noise Reduction: 00:06:00 •Module 08: Lens Correction: 00:03:00 •Module 09: Transform: 00:02:00 •Module 10: Effects & Calibration: 00:03:00 •Module 01: Landscape Image: 00:17:00 •Module 02: Cityscape Image: 00:18:00 •Module 03: Blue Hour Image: 00:18:00 •Module 04: Small Sensor Image: 00:14:00 •Module 05: Low Light Image: 00:10:00 •Module 06: Milky Way Image: 00:20:00 •Module 07: Reflection Image: 00:15:00 •Module 08: Waterfall Image: 00:15:00 •Module 09: Winter Image: 00:15:00 •Module 10: Sunrise Image: 00:12:00 •Module 11: Travel Portrait Image: 00:12:00 •Module 12: Architecture Image: 00:11:00 •Module 13: HDR Image: 00:13:00 •Module 14: Panoramic Image: 00:15:00 •Module 15: HDR Panoramic Image: 00:05:00 •Module 01: Cloaning & Object Removal: 00:07:00 •Module 02: Presets: 00:05:00 •Module 03: Dodge & Burn: 00:09:00 •Module 04: Orton Effect: 00:05:00 •Module 05: Sun Flare: 00:04:00 •Module 01: Basics of Exporting: 00:09:00 •Module 02: Exporting for Social Media: 00:04:00 •Module 03: Exporting for Printing: 00:04:00 •Module 04: Creating Export Presets: 00:03:00 •Module 01: Focus Stack: 00:07:00 •Module 02: Exposure Blending: 00:05:00 •Module 03: Blending Moments in Time: 00:05:00 •Module 04: Advanced Object removal: 00:13:00

About Course Master the Fundamentals of Programming with Python Course Description Embark on an exciting journey into the world of programming with this comprehensive Python course, designed to equip you with the essential skills and knowledge to become a proficient Python programmer. Whether you're a complete beginner or seeking to enhance your existing Python skills, this course caters to all levels of expertise. What will be discussed in detail? Introduction to Python: Delve into the basics of Python programming, including variables, data types, operators, and control flow statements. Working with Data Types: Explore the fundamental data types in Python, including numbers, strings, booleans, and lists. Python Strings: Master the art of manipulating strings, including slicing, concatenation, and string formatting techniques. Python Lists: Discover the power of lists, one of Python's most versatile data structures, and learn how to create, access, modify, and iterate over lists. Python Casting and Input: Understand the concept of type casting and learn how to take user input from the console. Python Dictionary: Uncover the usefulness of dictionaries, another essential data structure in Python, and learn how to store and retrieve data using key-value pairs. Python Date and Time: Learn how to handle date and time operations in Python, including creating, formatting, and manipulating date and time objects. Python Loop Part 1: Master the 'for' loop, a fundamental looping construct in Python, to iterate over sequences and perform repetitive tasks. Python Loop Part 2: Expand your understanding of loops by exploring the 'while' loop, used to execute a block of code repeatedly while a condition remains true. Creating a Function: Discover the power of functions, reusable blocks of code that perform specific tasks, and learn how to define, call, and pass arguments to functions. Python OOP Part 1: Delve into the world of Object-Oriented Programming (OOP) with Python, and learn the concepts of classes, objects, inheritance, and polymorphism. Python OOP Part 2: Enhance your OOP skills by exploring advanced concepts such as abstract classes, multiple inheritance, and operator overloading. Python Advanced OOP Part 1: Discover more advanced OOP techniques, including class methods, static methods, and decorators. Python Advanced OOP Part 2: Master the concept of exception handling, a crucial aspect of robust programming, and learn how to handle errors and exceptions effectively. Error Handling: Understand the importance of error handling in Python programming and learn how to identify, handle, and prevent errors. Python File Handling: Learn how to read, write, and manipulate files in Python, enabling you to store and retrieve data from external sources. Python Modules: Explore the concept of modules, reusable code libraries, and discover how to import, use, and create your own modules. Why should you enroll into it? Gain a comprehensive understanding of Python programming: Master the fundamentals of Python programming, from basic syntax to advanced OOP concepts. Develop practical coding skills: Apply your theoretical knowledge to hands-on coding exercises, solidifying your understanding and building your confidence. Prepare for a career in programming: Equip yourself with the essential skills required for entry-level programming positions. Enhance your problem-solving abilities: Learn to think algorithmically and develop effective problem-solving techniques using Python programming. Expand your skillset and knowledge: Whether you're a beginner or an experienced programmer, this course will broaden your understanding of Python and its capabilities. What will be taught? (Learning Outcomes/Learning Objectives) Understand the fundamental concepts of Python programming Work with different data types, including numbers, strings, lists, dictionaries, and Booleans Master control flow statements such as 'if', 'elif', and 'else' Create and manipulate Python functions Implement Object-Oriented Programming (OOP) concepts using classes, objects, inheritance, and polymorphism Handle errors and exceptions effectively Read, write, and manipulate files in Python Import, use, and create Python modules What Will You Learn? Understand the fundamental concepts of Python programming Work with different data types, including numbers, strings, lists, dictionaries, and Booleans Master control flow statements such as 'if', 'elif', and 'else' Create and manipulate Python functions Implement Object-Oriented Programming (OOP) concepts using classes, objects, inheritance, and polymorphism Handle errors and exceptions effectively Read, write, and manipulate files in Python Import, use, and create Python modules Course Content Introduction to Python Introduction to Python Working with Data Types Working with Data Types Python Strings Python Strings Python List Python List Python Casting and Input Python Casting and Input Python Dictionary Python Dictionary Python Date and Time Python Date and Time Python Loop (Part - 1) Python Loop (Part - 1) Python Loop (Part - 2) Python Loop (Part - 2) Python While Loop Python While Loop Creating a Function Creating a Function Python OOP (Part - 1) Python OOP (Part - 1) Python OOP (Part - 2) Python OOP (Part - 2) Python Advanced OOP (Part - 1) Python Advanced OOP (Part - 1) Python Advanced OOP (Part - 2) Python Advanced OOP (Part - 2) Error Handling Error Handling Python File Handling Python File Handling Python Modules Python Modules A course by Uditha Bandara Microsoft Most Valuable Professional (MVP) RequirementsA basic understanding of computers and operating systemsA willingness to learn and practice codingA computer with internet access and the ability to install Python Audience Beginners with no prior programming experience Programmers seeking to transition to Python Individuals looking to enhance their programming skills and knowledge Anyone interested in pursuing a career in programming Audience Beginners with no prior programming experience Programmers seeking to transition to Python Individuals looking to enhance their programming skills and knowledge Anyone interested in pursuing a career in programming

This course will teach you how Selenium WebDriver is used to test web applications. You will start by understanding the concepts of Java and gradually move toward understanding Selenium, TestNG framework, Maven, Jenkins, Cucumber, Gherkin, and a lot more interesting topics that will make you a pro in automation testing.