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
Take your Python coding skills to the next level with our Intermediate Python Coding Course. Dive deeper into the language's capabilities, mastering advanced concepts and techniques to tackle complex programming challenges. Whether you're a beginner looking to expand your knowledge or an experienced coder seeking to enhance your proficiency, this course offers comprehensive instruction and hands-on practice to help you advance your Python skills. Enroll now and level up your coding abilities with confidence.
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Upgrade your skills with the Software Engineering: Computer Programming, Web Design & Development course bundle and attempt to succeed in the fast-paced world of technology. Enrol today and start your journey towards becoming a pivotal player in the tech industry! Learning Outcomes of this Bundle: Master programming fundamentals in C#, C++, JavaScript, and Python. Develop comprehensive web applications using HTML, CSS, PHP, and WordPress. Implement advanced web designs with Bootstrap for responsive layouts. Utilise Python for machine learning and data visualisation projects. Learn security practices and penetration testing with OWASP ZAP. Design and deploy dynamic user interfaces with advanced UI/UX principles. Why Prefer this Course? Get a Free QLS Endorsed Certificate upon completion of the course Get a Free Student ID Card with this training program (£10 postal charge will be applicable for international delivery) The course is Affordable and Simple to understand Get Lifetime Access to the course materials The training program comes with 24/7 Tutor Support Start your learning journey straight away! The "Software Engineering: Computer Programming, Web Design & Development" course bundle is especially designed to empower learners with the skills required to excel in the tech industry. By mastering programming fundamentals in diverse languages such as C#, C++, JavaScript, and Python, participants will gain a robust foundation in coding principles that are applicable across a variety of development environments. This foundational knowledge is crucial for troubleshooting and innovating within the rapidly evolving landscape of technology. Beyond technical skills, the course also focuses on applying Python for Machine Learning and Data Visualisation projects, providing a competitive edge in fields like Data Science and Artificial Intelligence. Security practices and Penetration Testing with tools like OWASP ZAP further prepare learners to secure applications against potential threats. By completing this bundle, participants will not only enhance their coding and web development abilities but also acquire valuable skills in Security and UI/UX Design, making them well-rounded professionals ready for various challenges in the tech industry. Moreover, this diploma offers learners the opportunity to acquire a Recognised Qualification that is highly valued in the field of Software Engineering. With this Certification, graduates are better positioned to pursue career advancement and higher responsibilities within the Software Engineering setting. The skills and knowledge gained from this course will enable learners to make meaningful contributions to Software Engineering related fields impacting their Software Engineering experiences and long-term development. Course Curriculum Course 01: C# Programming - Beginner to Advanced Module 01: Introduction Module 02: Basics To Get Started Module 03: Logic Module 04: Methods (Basic) Module 05: Classes (Basics) Module 06: Variables (Basic) Module 07: Error Handling Module 08: Useful Methods Module 09: Text (Advanced) Module 10: Classes (Advanced) Module 11: Binary (Advanced) Module 12: Asynchronous (Advanced) Module 13: Search In Objects (Linq) Course 02: C++ Development: The Complete Coding Guide Module 01: Introduction & Setting Up Module 02: Basics Module 03: Operators Module 04: String Streams Module 05: Statements & Loops Module 06: Functions Module 07: Advanced Data Types Module 08: Classes Module 09: Errors Module 10: The Mighty Preprocessor Module 11: File I/O Module 12: Extras Course 03: JavaScript Fundamentals Module 01: Introduction Module 02: Reasons of Employee Resignation Module 03: What is JavaScript? Module 04: Running JS Code Module 05: Variables Module 06: What is Talent Management Module 07: Talent Management – The Pillar of Successful Business Module 08: Comparison Operators Module 09: Responsibilities of Talent Management Manager & Professionals Module 10: Function Module 11: Object Module 12: Methods Module 13: While Loops Module 14: Little Activity Before We Begin Module 15: For Loops Module 16: Arrays Module 17: Welcome to the Course Module 18: Multidimensional Arrays Module 19: Introduction to the DOM API Module 20: Conclusion =========>>>>> And 27 More Courses <<<<<========= How will I get my Certificate? After successfully completing the course, you will be able to order your Certificates as proof of your achievement. PDF Certificate: Free (Previously it was £12.99*30 = £390) CPD Hard Copy Certificate: Free (For The First Course: Previously it was £29.99) CPD 300 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Anyone interested in learning more about the topic is advised to take this bundle. This bundle is ideal for: Aspiring software developers. Current IT professionals. Web developers. System engineers. Tech enthusiasts. Career changers. Requirements You will not need any prior background or expertise to enrol in this course. Career path After completing this bundle, you are to start your career or begin the next phase of your career. Software Developer: $50,000 - $120,000 Web Developer: $40,000 - $85,000 Front-End Developer: $50,000 - $110,000 Python Developer: $60,000 - $120,000 UI/UX Designer: $55,000 - $100,000 Systems Engineer: $60,000 - $130,000 Certificates CPD Accredited Hard copy certificate Hard copy certificate - Included If you are an international student, you will be required to pay an additional fee of 10 GBP for international delivery, and 4.99 GBP for delivery within the UK, for each certificate CPD Accredited Digital Certificate Digital certificate - Included CPD Accredited e-Certificate - Free Enrolment Letter - Free Student ID Card - Free
Do you want to learn about the challenges and opportunities of modern human resources? Do you want to discover innovative approaches to hiring, training and developing talent to achieve companies and employees success? If yes, then enrol in this course and learn the basic management theory. Performance Management is not a company's way of employing 'micromanaging' methods that stunt the professional growth of its workers. But rather, it is a strategic way to ensuring the performance and effectiveness of an association. Whether at the organisational, departmental or employee level, the object of performance management is to make sure all business goals are being met satisfactorily. This course will help you Explore innovative concepts, best practices and strategies for procuring great talents, reducing employee turnover, promoting the personal & professional development of employees and retaining a high & diverse workforce. It will help you ensure a healthy environment that fosters well-being and fulfilment and encourages professional development. If you want to make sure all the business goals are being met satisfactorily, then acquire the practical skills of performance management in this course Course Highlights Performance Management Diploma is an award winning and the best selling course that has been given the CPD Certification & IAO accreditation. It is the most suitable course anyone looking to work in this or relevant sector. It is considered one of the perfect courses in the UK that can help students/learners to get familiar with the topic and gain necessary skills to perform well in this field. We have packed Performance Management Diploma into 13 modules for teaching you everything you need to become successful in this profession. To provide you ease of access, this course is designed for both part-time and full-time students. You can become accredited in just 12 hours, 10 minutes and it is also possible to study at your own pace. We have experienced tutors who will help you throughout the comprehensive syllabus of this course and answer all your queries through email. For further clarification, you will be able to recognize your qualification by checking the validity from our dedicated website. Why You Should Choose Performance Management Diploma Lifetime access to the course No hidden fees or exam charges CPD Accredited certification on successful completion Full Tutor support on weekdays (Monday - Friday) Efficient exam system, assessment and instant results Download Printable PDF certificate immediately after completion Obtain the original print copy of your certificate, dispatch the next working day for as little as £9. Improve your chance of gaining professional skills and better earning potential. Who is this Course for? Performance Management Diploma is CPD certified and IAO accredited. 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 backgrounds. Requirements Our Performance Management Diploma 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 You will be ready to enter the relevant job market after completing this course. You will be able to gain necessary knowledge and skills required to succeed in this sector. All our Diplomas' are CPD and IAO accredited so you will be able to stand out in the crowd by adding our qualifications to your CV and Resume. Performance Management Diploma Module One - Getting Started FREE 00:30:00 Module Two - The Basics (I) FREE 01:00:00 Module Three - The Basics (II) 01:00:00 Module Four - Goal Setting 01:00:00 Module Five - Establishing Performance Goals 01:00:00 Module Six - 360 Degree Feedback 01:00:00 Module Seven - Competency Assessments 01:00:00 Module Eight - Kolb's Learning Cycle 01:00:00 Module Nine - Motivation 01:00:00 Module Ten - The Performance Journal 01:00:00 Module Eleven - Creating a Performance Plan 01:00:00 Module Twelve - Wrapping Up 01:00:00 Activities Activities 00:00:00 Mock Exam Mock Exam- Performance Management Diploma 00:20:00 Final Exam Final Exam- Performance Management Diploma 00:20:00
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This Oracle 11g PL/SQL Part 2 course will be very advantageous for you to learn about developing database server-side PL/SQL program units within an Oracle database. This course covers a variety of topics which include understanding the basic form and structure of program units stored within the database, building and maintaining stored procedures, functions, packaged programs, and database triggers. In addition to that, you'll take the support of advanced programming techniques such as cursor variables and cursor expressions, which broadly discussed in the course. This course is ideal to prepare yourself for the Oracle certification exams (OCP). Upon successful completion of this course, you'll stand out from your competition while you're chasing your dream job! What Will I Learn? Prepare your environment Introducing Database Program Units Creating and Maintaining Stored Procedures & Functions Creating and Maintaining Packages Advanced Cursor Techniques Using System-Supplied Packages Creating and Maintaining Database Triggers Implementing System Event Triggers Requirements Familiarity with database and programming principles Who is the target audience? Application designers and developers Database administrators Business users and non-technical senior end users Introduction Introduction 00:03:00 Install Oracle XE 00:11:00 SQL Developer Installation 00:00:00 Workstation Setup 00:12:00 Database Program Units Introducing the Database Program Unit 00:19:00 Working with Stored Procedures and Functions Creating Stored Procedures and Functions 00:19:00 Understanding the Parameter Specification 00:23:00 Executing Procedures and Functions 00:26:00 Calling Functions from within SQL 00:13:00 Handling Compilation Errors 00:08:00 Maintaining Stored Procedures and Functions Recompiling and Dropping Programs 00:16:00 Data Dictionary Storage 00:25:00 Managing Dependencies 00:13:00 Tracking Dependencies 00:08:00 Using the Dependency Tracking Utility 00:09:00 Creating and Maintaining Packages What Is a Package? 00:10:00 Creating a Package 00:19:00 Package Definition Information 00:08:00 Advanced Programming Techniques 00:06:00 Using Persistent Global Objects 00:04:00 Including Initialization Logic 00:15:00 Object Oriented Support within Packages 00:14:00 Package Maintenance 00:18:00 Advanced Cursor Techniques Learning to Use Cursor Variables 00:24:00 Advanced Cursor Techniques Weak Cursor Definitions 00:16:00 REFCURSOR Cursor Definition 00:05:00 Using Cursor Expression 00:14:00 Using System Supplied Packages Using the DBMS OUTPUT() Package 00:12:00 Using the UTL FILE() Package 00:30:00 Creating Database Triggers Understanding the Database Trigger 00:23:00 Statement-Level Triggers 00:23:00 Row-Level Triggers 00:12:00 Row Level Trigger Example 1 00:11:00 Row Level Trigger Example 2 00:07:00 Row Level Trigger Example 3 00:08:00 Working with the INSTEAD OF Trigger 00:11:00 Using Triggers within an Application 00:09:00 Trigger Maintenance Using the CALL Statement 00:09:00 Trigger Maintenance Tasks 00:12:00 Work with Multiple Triggers for a Single Table 00:11:00 Handling Mutating Table Issues 00:22:00 Using the Compound Trigger 00:06:00 Working with System Event Triggers What Is a System Event Trigger 00:05:00 Defining Scope 00:04:00 Identifying Available System Events 00:12:00 Conclusion Conclusion 00:02:00 Course Certification
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Python Programming: Beginner To Expert Overview Unfold the potential within you, and embark on a journey of mastering Python programming - from the fundamental building blocks to the pinnacle of expertise. This comprehensive course, crafted with meticulous care, empowers you to transform from a curious novice to a confident coding maestro, wielding Python's power with finesse. Within these engaging modules, you'll delve into the core principles of Python, meticulously exploring data types, operators, control flow, and functions. As your proficiency blossoms, you'll conquer advanced topics like object-oriented programming, powerful libraries like NumPy and Pandas, and the art of crafting polished scripts. But this journey isn't merely about acquiring technical prowess; it's about unlocking a world of possibilities. By the course's end, you'll be equipped to embark on a rewarding career path, armed with the skills to tackle real-world challenges in diverse domains - from data analysis and web development to scientific computing and automation. Learning Outcomes Gain a solid foundation in Python syntax, data structures, and control flow mechanisms. Master essential functions, user input, and error-handling techniques. Explore advanced data types, object-oriented programming concepts, and popular libraries like NumPy and Pandas. Craft polished, reusable Python scripts for various applications. Confidently navigate the Python ecosystem and continuously expand your knowledge. Why You Should Choose Python Programming: Beginner To Expert Lifetime access to the course No hidden fees or exam charges CPD Accredited certification on successful completion Full Tutor support on weekdays (Monday - Friday) Efficient exam system, assessment and instant results Download Printable PDF certificate immediately after completion Obtain the original print copy of your certificate, dispatch the next working day for as little as £9. Improve your chance of gaining professional skills and better earning potential. Who is this Course for? Python Programming: Beginner To Expert is CPD certified and IAO accredited. 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 backgrounds. Requirements Our Python Programming: Beginner To Expert 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 You will be ready to enter the relevant job market after completing this course. You will be able to gain necessary knowledge and skills required to succeed in this sector. All our Diplomas' are CPD and IAO accredited so you will be able to stand out in the crowd by adding our qualifications to your CV and Resume. Python Programming: Beginner To Expert Module 01: Introduction to Python Programming from A-Z Intro To Python Section Overview 00:06:00 What is Python Programming? 00:10:00 Who is This Course For? 00:05:00 Python Programming Marketplace 00:06:00 Python Job Opportunities 00:05:00 How To Land a Python Job Without a Degree 00:08:00 Python Programmer Job Roles 00:09:00 Python from A-Z Course Structure 00:04:00 Module 02: Getting Familiar with Python Getting Familiar with Python Section Overview 00:06:00 Installing Python on Windows 00:10:00 Anaconda and Jupyter Notebooks Part 1 00:08:00 Anaconda and Jupyter Notebooks Part 2 00:16:00 Comments 00:05:00 Python Syntax 00:02:00 Line Structure 00:03:00 Line Structure Exercise 00:07:00 Joining Lines 00:05:00 Multiple Statements on a Single Line 00:05:00 Indentation 00:08:00 Module 03: Basic Data Types Basic Data Types Section Overview 00:08:00 String Overview 00:10:00 String Manipulation 00:07:00 String Indexing 00:04:00 String Slicing 00:08:00 Printing 00:10:00 Python Variables 00:08:00 Integers and Floats 00:08:00 Booleans 00:02:00 Mini Project 1 : Letter Counter 00:20:00 Module 04: Python Operators Python Operators Section Overview 00:04:00 Comparison Operators 00:09:00 Arithmetic Operators 00:08:00 Assignment Operators 00:05:00 Logical Operators 00:13:00 Identity Operators 00:05:00 Membership Operators 00:02:00 Bitwise Operators 00:08:00 Module 05: Advanced Data Types Python Advanced Data Types Section Overview 00:11:00 Sets 00:06:00 List Overview 00:05:00 List Slicing and Indexing 00:04:00 Tuples 00:02:00 Dictionaries 00:11:00 When to use each one? 00:05:00 Compound Data Types 00:03:00 Module 06: Control Flow Part 1 Control Flow Part 1 Section Overview 00:15:00 Intro to Control Flow 00:01:00 Basic Conditional Statements 00:14:00 More Conditional Statements 00:05:00 For Loops 00:10:00 While Loops 00:12:00 Module 07: Control Flow Part 2 Control Flow Part 2 Section Overview 00:02:00 Break Statements 00:08:00 Continue Statements 00:05:00 Zip Function 00:07:00 Enumerate Function 00:04:00 List Comprehension 00:04:00 Module 08: Python Functions Python Functions Section Overview 00:03:00 Intro to Functions 00:02:00 Python help Function 00:03:00 Defining Functions 00:09:00 Variable Scope 00:08:00 Doc Strings 00:04:00 Module 09: User Input and Error Handling User Input and Error Handling Section Overview 00:02:00 Introduction to error handling 00:03:00 User Input 00:04:00 Syntax Errors 00:04:00 Exceptions 00:11:00 Handling Exceptions Part 1 00:08:00 Handling Exceptions Part 2 00:08:00 Module 10: Python Advanced Functions Python Advanced Functions Section Overview 00:05:00 Lambda Functions 00:05:00 Functions args and kwargs 00:10:00 Iterators 00:08:00 Generators and Yield 00:12:00 Map Function 00:14:00 Filter Function 00:08:00 Module 11: Python Scripting and Libraries Python Scripting and Libraries Section Overview 00:05:00 What is a script? 00:01:00 What is an IDE? 00:17:00 What is a text editor? 00:12:00 From Jupyter Notebook to VScode Part 1 00:15:00 From Jupyter Notebook to VScode Part 2 00:05:00 Importing Scripts 00:03:00 Standard Libraries 00:04:00 Third Party Libraries 00:06:00 Module 12: NumPy NumPy Section Overview 00:04:00 Why use NumPy? 00:04:00 NumPy Arrays 00:10:00 Reshaping, Accessing, and Modifying 00:07:00 Slicing and Copying 00:06:00 Inserting, Appending, and Deleting 00:10:00 Array Logical Indexing 00:04:00 Broadcasting 00:08:00 Module 13: Pandas Intro to Pandas 00:17:00 Pandas Series 00:17:00 Pandas Series Manipulation 00:17:00 Pandas DataFrame 00:17:00 Pandas DataFrame Manipulation 00:13:00 Dealing with Missing Values 00:10:00 Module 14: Introduction to OOP Functional vs OOP 00:06:00 OOP Key Definitions 00:04:00 Create your First Class 00:12:00 How to Create and Use Objects 00:06:00 How to Modify Attributes 00:12:00 Module 15: Advanced OOP Python Decorators 00:27:00 Property Decorator 00:09:00 Class Method Decorator 00:07:00 Static Methods 00:10:00 Inheritance from A to Z 00:21:00 Module 16: Starting a Career in Python Getting Started with Freelancing 00:09:00 Building A Brand 00:12:00 Personal Branding 00:13:00 Importance of Having Website/Blog 00:04:00 Do's and Don'ts of Networking 00:06:00 Creating A Python Developer Resume 00:06:00
Description: Nowadays data management is absolutely crucial, and there's not much room for error. If you've already taken the basic Microsoft Access 2013 course, or know your way around the program already, then you're ready for this advanced level of Microsoft Access 2013. This Microsoft Office 2013 Access Advanced - Complete Video Course covers advanced functions and features of Access 2013. You will learn about implementing advanced form design, using data validation and using macros to improve user interfacer design. You will also learn how to use advanced database management, distribute and secure a database and manage switchboards. If you want to take your Microsoft Access 2013 skills to the next level, you'll learn how to use this program's advanced features to build a fully functional database from scratch. 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 2013 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 2013 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. Implementing Advanced Form Design Add Controls to Forms FREE 00:22:00 Create Subforms 00:03:00 Organize Information with Tabs Pages 00:05:00 Enhance Navigation of Forms 00:06:00 Apply Conditional Formatting 00:05:00 Using Data Validation Field and Record Validation 00:23:00 Form Validation 00:08:00 Using Macros to Improve User Interface Design Create a Macro 00:17:00 Restrict Records Using a Condition 00:05:00 Validate Data Using a Macro 00:06:00 Automate Data Entry Using a Macro 00:06:00 Convert a Macro to VBA 00:05:00 Using Advanced Database Management Link Tables to External Data Sources 00:05:00 Manage a Database 00:07:00 Determine Object Dependency 00:05:00 Document a Database 00:05:00 Analyze the Performance of a Database 00:05:00 Distributing and Securing a Database Splitting a Database for Multiple User Access 00:05:00 Implement Security 00:09:00 Set Passwords 00:07:00 Convert an Access Database to an ACCDE File999 00:07:00 Analyze the Performance of a Database 00:04:00 Managing Switchboards Create a Database Switchboard 00:07:00 Modify a Database Switchboard 00:04:00 Set Startup Options 00:06:00 Mock Exam Mock Exam- Microsoft Office 2013 Access Advanced - Complete Video Course 00:20:00 Final Exam Final Exam- Microsoft Office 2013 Access Advanced - Complete Video Course 00:20:00 Certificate and Transcript Order Your Certificates and Transcripts 00:00:00