2371 Ladder courses

Overview This comprehensive course on Wedding Photography will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Wedding Photography 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? At the end of the course there will be an online written test which you can take either during or after the course. After successfully completing the test you will be able to order your certificate, these are included in the price. Who is this course for? There is no experience or previous qualifications required for enrolment on this Wedding Photography. It is available to all students, of all academic backgrounds. Requirements Our Wedding Photography 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 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 8 sections • 78 lectures • 04:41:00 total length •01. introduction ##00 00:02:00 •01. Introduction ##01 What is this course all about: 00:01:00 •01. Introduction ##02 Who am I: 00:01:00 •01. Introduction ##03 Top 5 Tips for Better Wedding Photos: 00:03:00 •01. Introduction ##04 Why should you Become a Wedding photographer: 00:02:00 •01. Introduction ##05 How to Succeed with this course: 00:01:00 •01. Introduction ##06 Live Posing Session: 00:13:00 •02. Setting Up Your Business ##01 Section Intro: 00:01:00 •02. Setting Up your Business ##02 What Type of Wedding Photographer are you: 00:03:00 •02. Setting Up Your Business ##03 Equipment You Need toGet Started: 00:05:00 •02. Setting Up Your Business ##04 What Camera Brand is Best: 00:02:00 •02. Setting Up Your Business ##05 Where Should you buy Camera equipment: 00:01:00 •02. Setting Up Your Business ##06 Picking a Name for Your Company: 00:03:00 •02 Setting Up Your Business ##07 Launching a Website - Top Tips for a Successful Site: 00:05:00 •02. Setting Up Your Business ##08 Action Item-Pick a Name & Build a Website: 00:01:00 •02. Setting Up Your Business ##09 Creating Wedding Photography Packages: 00:05:00 •02. Setting Up Your Busines ##10 Pricing for Success: 00:09:00 •02. Setting Up Your Busines ##11 How to Get Your First Client: 00:04:00 •02. Setting Up Your Busines ##12 The Importance of Contracts: 00:03:00 •02. Setting Up Your Busines ##13 The Wedding Photography: 00:02:00 •02. Setting Up Your Busines ##15 Recap - Setting up your business: 00:02:00 •03. Wedding Day Overview ##01 Section Intro: 00:02:00 •03. Wedding Day Overview ##02 Taking Care of Business on the Wedding Day: 00:02:00 •03. Wedding Day Overview ##03 Overview of What to Photograph: 00:12:00 •03. Wedding Day Overview ##04 Using Pinterest to find Inspirational Photos: 00:02:00 •03. Wedding Day Overview ##05 Recap of Wedding Overview: 00:01:00 •04. How to Shoot a Wedding ##01 Section Intro: 00:03:00 •04. How to Shoot a Wedding ##02 Wedding Day Equipment Check: 00:05:00 •04. How to Shoot a Wedding ##03 Wedding Day Consideration-Day-Night-Indoor-Outdoor: 00:03:00 •04. How to Shoot a Wedding ##04 Do You Need an Assistant or Second Shooter: 00:04:00 •04. How to Shoot a Wedding ##05 How Much to Pay a second Shooter: 00:01:00 •04. How to Shoot a Wedding ##06 Scheduling the Wedding Day (First, Looks, Candide, Posed Family Shits): 00:02:00 •04. How to Shoot a Wedding ##07 Achieving Your Look: 00:01:00 •04. How to Shoot a Wedding ##08 Details: 00:05:00 •04. How to Shoot a Wedding ##09 Groom Preparation: 00:09:00 •04. How to Shoot a Wedding ##10 Bride Preparation: 00:11:00 •04. How to Shoot a Wedding ##11 Walking Down the Aisle: 00:04:00 •04. How to Shoot a Wedding ##12 Ceremony Coverage: 00:12:00 •04. How to Shoot a Wedding ##13 Readers: 00:03:00 •04. How to Shoot a Wedding ##14 Rings, Vows,Kiss: 00:03:00 •04. How to Shoot a Wedding ##15 Post-Ceremony: 00:05:00 •04. How to Shoot a Wedding ##16 How to Shoot Family Shots: 00:08:00 •04. How to Shoot a Wedding ##17 Posed Couple Shots: 00:13:00 •04. How to Shoot a Wedding ##18 Grand Entrance: 00:01:00 •04. How to Shoot a Wedding ##19 Reception Details: 00:06:00 •04. How to Shoot a Wedding ##20 Toast and Speeches: 00:06:00 •04. How to Shoot a Wedding ##21 Cake Cutting: 00:03:00 •04. How to Shoot a Wedding ##22 First Dance: 00:06:00 •04. How to Shoot a Wedding ##23 Bouquet Garter Toss: 00:03:00 •04. How to Shoot a Wedding ##24 Dance Party: 00:06:00 •04. How to Shoot a Wedding ##25 Recap - How to Shoot a Wedding: 00:01:00 •05. Editing Wedding Photos ##01 section Intro: 00:01:00 •05. Editing Wedding Photos ##02 Choosing an Editing App: 00:02:00 •05. Editing Wedding Photos ##03 Editing in Lightroom: 00:10:00 •05. Editing Wedding Photos ##04 Exporting from Lightroom: 00:03:00 •05. Editing Wedding Photos ##05 Editing in Photoshop: 00:11:00 •05. Editing Wedding Photos ##06 Creating Online Galleries: 00:06:00 •05. Editing Wedding Photos ##07 Recap of Editing Section: 00:01:00 •06. Succeeding Wedding Photography ##01 Section Intro: 00:01:00 •06. Succeeding Wedding Photography ##02 Being Happy - Tips from a Wedding Photographer: 00:01:00 •06. Succeeding Wedding Photography ##03 Making it a Business and Sticking to it: 00:02:00 •06. Succeeding Wedding Photography ##04 Building Out Your Portfolio: 00:01:00 •06. Succeeding Wedding Photography ##05 Dealing With Saturated Photography Markets: 00:02:00 •06. Succeeding Wedding Photography ##06 Competing With Family Photographers for Jobs: 00:01:00 •06. Succeeding Wedding Photography ##07 Working With Other Vendors for Success: 00:01:00 •06. Succeeding Wedding Photography ##08 Using Social Networks to Expand Your Business: 00:02:00 •06. Succeeding Wedding Photography ##09 Testimonials - Yelp, Wedding Wire, The Knot: 00:02:00 •06. Succeeding Wedding Photography ##10 Recap Succeeding With Wedding Photography: 00:01:00 •07. Wrap Up ##01 Thank You and What's Next: 00:01:00 •08. Bonus Engagement Photography ##01 Section Intro: 00:01:00 •08. Bonus Engagement Photography ##02 Equipment Check for the Engagement Photo Session: 00:01:00 •08. Bonus Engagement Photography ##03 How Much To Charge for an engagement Session: 00:01:00 •08. Bonus Engagement Photography ##04 Picking the Perfect Location for Engagement Photos: 00:02:00 •08. Bonus Engagement Photography ##05 Tips for Posing and Interacting with Clients for engagement Photos: 00:01:00 •08. Bonus Engagement Photography ##06 Engagement Photo Review: 00:07:00 •08. Bonus Engagement Photography ##07 Bonus Engagement Recap: 00:01:00 •How to Use Pinterest to Find Great Wedding Poses: 00:02:00 •How-to-Register-a-Domain-Name-with-Godaddy-with-a-Promo-Code: 00:04:00

Overview   With the ever-increasing demand for Public Speaking in personal & professional settings, this online training aims at educating, nurturing, and upskilling individuals to stay ahead of the curve - whatever their level of expertise in Public Speaking may be.   Learning about Public Speaking or keeping up to date on it can be confusing at times, and maybe even daunting! But that's not the case with this course from Compete High. We understand the different requirements coming with a wide variety of demographics looking to get skilled in Public Speaking. That's why we've developed this online training in a way that caters to learners with different goals in mind. The course materials are prepared with consultation from the experts of this field and all the information on Public Speaking is kept up to date on a regular basis so that learners don't get left behind on the current trends/updates.   The self-paced online learning methodology by Compete High in this Public Speaking Online Training course helps you learn whenever or however you wish, keeping in mind the busy schedule or possible inconveniences that come with physical classes. The easy-to-grasp, bite-sized lessons are proven to be most effective in memorising and learning the lessons by heart. On top of that, you have the opportunity to receive a certificate after successfully completing the course!   Instead of searching for hours, enrol right away on this Public Speaking Online Training course from Compete High and accelerate your career in the right path with expert-outlined lessons and a guarantee of success in the long run.   Who is this course for?   While we refrain from discouraging anyone wanting to do this Public Speaking Online Training course or impose any sort of restrictions on doing this online training, people meeting any of the following criteria will benefit the most from it: Anyone looking for the basics of Public Speaking, Jobseekers in the relevant domains, Anyone with a ground knowledge/intermediate expertise in Public Speaking, Anyone looking for a certificate of completion on doing an online training on this topic, Students of Public Speaking, or anyone with an academic knowledge gap to bridge, Anyone with a general interest/curiosity   Career Path   This Public Speaking Online Training course smoothens the way up your career ladder with all the relevant information, skills, and online certificate of achievements. After successfully completing the course, you can expect to move one significant step closer to achieving your professional goals - whether it's securing that job you desire, getting the promotion you deserve, or setting up that business of your dreams.    Course Curriculum Module 1 The Purpose of Speaking The Purpose of Speaking 00:00 Module 2 Building Better Speech Building Better Speech 00:00 Module 3 The Form of the Outline The Form of the Outline 00:00 Module 4 Planning the Conclusion Planning the Conclusion 00:00

Overview This comprehensive course on Understand Piping & Instrumentation Diagrams P&IDs will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Understand Piping & Instrumentation Diagrams P&IDs comes with accredited certification from CPD, 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? At the end of the course there will be an online written test, which you can take either during or after the course. After successfully completing the test you will be able to order your certificate, these are included in the price. Who is This course for? There is no experience or previous qualifications required for enrolment on this Understand Piping & Instrumentation Diagrams P&IDs. It is available to all students, of all academic backgrounds. Requirements Our Understand Piping & Instrumentation Diagrams P&IDs 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 14 sections • 119 lectures • 08:26:00 total length •Introduction: 00:04:00 •What's a P&ID ?: 00:03:00 •Why is a P&ID so important ?: 00:02:00 •Who uses P&ID's ?: 00:06:00 •How do P&ID's look like ?: 00:08:00 •Introduction- PID READING: 00:02:00 •Anatomy of a P&ID: 00:01:00 •The title block: 00:03:00 •The drawing scale: 00:03:00 •The grid system: 00:02:00 •The revision block: 00:03:00 •Changes: 00:02:00 •Notes and legends: 00:03:00 •Valve symbols: 00:14:00 •Valve actuator symbols: 00:09:00 •Control valve designations: 00:02:00 •Standards and conventions for valve status: 00:07:00 •Process equipment symbols: 00:12:00 •Piping symbols: 00:03:00 •Pipe fitting symbols: 00:03:00 •Isolating, venting & draining symbols for ease of maintenance: 00:05:00 •Instrumentation: 00:03:00 •Sensing devices and detectors: 00:04:00 •Location symbols: 00:04:00 •Modifiers and transmitters: 00:05:00 •Indicators and recorders: 00:03:00 •Controllers: 00:03:00 •Example #1 : Identifying process equipment and flow paths: 00:05:00 •Example #2 : Identifying valve position and failure mode: 00:03:00 •Example #3 : Identifying the symbols: 00:02:00 •Piping designation code: 00:06:00 •Equipment designation code: 00:03:00 •Instrument designation code: 00:02:00 •Miscellaneous designation codes: 00:02:00 •The process: 00:01:00 •Process control: 00:06:00 •The control loop: 00:02:00 •Process control terms: 00:10:00 •Control loops : Feedback control: 00:02:00 •Pressure control loops: 00:01:00 •Flow control loops: 00:01:00 •Level control loops: 00:01:00 •Temperature control loops: 00:01:00 •Multi-variable loops: 00:02:00 •Feedforward control: 00:02:00 •Feedforward + Feedback: 00:01:00 •Cascade control: 00:08:00 •Split range control: 00:03:00 •Operations on control signals: 00:02:00 •Ratio control: 00:02:00 •Batch control: 00:01:00 •Selective control: 00:01:00 •Do we need to control at all ?: 00:01:00 •Principles of equipment-wise control: 00:10:00 •Pipe control system: 00:02:00 •Control of a single pipe: 00:02:00 •Control of pressure in a pipe: 00:03:00 •Control of flow in a pipe: 00:04:00 •Flow merging: 00:08:00 •Flow splitting: 00:05:00 •Centrifugal pump control: 00:04:00 •Control valve vs Variable Frequency Drive (VFD) for centrifugal pumps: 00:03:00 •Minimum flow control for centrifugal pumps: 00:09:00 •Positive displacement pump control: 00:02:00 •Control by a recirculation pipe for PD pumps: 00:03:00 •Variable Speed Drive (VSD) control for PD pumps: 00:01:00 •Control by stroke adjustment for PD pumps: 00:01:00 •Compressor control system: 00:02:00 •Compressor capacity control: 00:12:00 •Compressor anti-surge control: 00:03:00 •Heat transfer equipment control: 00:02:00 •Heat exchanger direct control system: 00:04:00 •Heat exchanger bypass control system: 00:04:00 •Reactor temperature control: 00:06:00 •Air cooler control: 00:02:00 •Heat exchanger for heat recovery: 00:01:00 •Heat exchanger back pressure control: 00:02:00 •Basic fired heater control: 00:08:00 •Complex fired heater control: 00:05:00 •Container and vessel control: 00:07:00 •Container blanket gas control: 00:02:00 •Safety strategies: 00:01:00 •Concept of Safety Instrumented Systems (SIS): 00:01:00 •SIS actions and types: 00:14:00 •SIS extent: 00:02:00 •SIS requirement: 00:03:00 •Anatomy of a SIS: 00:02:00 •SIS element symbols: 00:01:00 •SIS primary elements : Sensors: 00:03:00 •SIS final elements: 00:04:00 •Switching valve actuator arrangements: 00:02:00 •Valve position validation: 00:02:00 •Merging a switching valve and a control valve: 00:03:00 •SIS logics: 00:01:00 •Showing safety instrumented functions on P&ID's: 00:07:00 •Discrete control: 00:05:00 •Alarm system: 00:02:00 •Anatomy of alarm systems: 00:02:00 •Alarm requirements: 00:06:00 •Alarm system symbology in P&ID's: 00:06:00 •Concept of common alarms: 00:01:00 •Fire and Gas Detection Systems (FGS): 00:03:00 •Electric motor control: 00:07:00 •P&ID representation of commands and responses: 00:05:00 •P&ID representation of inspection and repair: 00:05:00 •P&ID example of electro-motor control: 00:04:00 •P&ID example #1 : Legend and specifications: 00:05:00 •P&ID example #2 : Hydrogen delivery station: 00:16:00 •P&ID example #3 : Acid system: 00:13:00 •P&ID example #4 : Centrifugal pump: 00:09:00 •P&ID example #5 : Utility station: 00:04:00 •P&ID example #6 : Waste water filter: 00:08:00 •P&ID example #7 : Steam separator: 00:15:00 •P&ID example #8 : Flare knock-out drum: 00:14:00 •P&ID example #9 : Centrifugal compressor: 00:05:00 •P&ID example #10 : Hydrogen production from shale gas: 00:11:00 •P&ID example #11 : Fired heater: 00:07:00 •Resources - Understand Piping & Instrumentation Diagrams P&IDs: 00:00:00 •Assignment - Understand Piping & Instrumentation Diagrams P&IDs: 00:00:00

Overview This comprehensive course on R Programming for Data Science will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This R Programming for Data Science comes with accredited certification from CPD, 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 R Programming for Data Science. It is available to all students, of all academic backgrounds. Requirements Our R Programming for Data Science 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 23 sections • 129 lectures • 06:25:00 total length •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 •Engine and coding environment: 00:03:00 •Installing R and RStudio: 00:04:00 •RStudio: A quick tour: 00:04:00 •Arithmetic with R: 00:03:00 •Variable assignment: 00:04:00 •Basic data types in R: 00:03:00 •Creating a vector: 00:05:00 •Naming a vector: 00:04:00 •Vector selection: 00:06:00 •Selection by comparison: 00:04:00 •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 •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 •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 •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 •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 •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 •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 •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 •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 •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 •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 •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 •Mathematical functions: 00:05:00 •Data Utilities: 00:08:00 •Additional Materials: 00:00:00 •grepl & grep: 00:04:00 •Metacharacters: 00:05:00 •sub & gsub: 00:02:00 •More metacharacters: 00:04:00 •Additional Materials: 00:00:00 •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 •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 •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 •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 •Assignment - R Programming for Data Science: 00:00:00

Overview This comprehensive course on Ultimate PHP & MySQL Web Development Course & OOP Coding will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Ultimate PHP & MySQL Web Development Course & OOP Coding comes with accredited certification from CPD, 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 Ultimate PHP & MySQL Web Development Course & OOP Coding. It is available to all students, of all academic backgrounds. Requirements Our Ultimate PHP & MySQL Web Development Course & OOP Coding 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 Learning this new skill will help you to advance in your career. It will diversify your job options and help you develop new techniques to keep up with the fast-changing world. This skillset will help you to- Open doors of opportunities Increase your adaptability Keep you relevant Boost confidence And much more! Course Curriculum 15 sections • 133 lectures • 10:06:00 total length •Introduction: 00:02:00 •Setup On Windows: 00:15:00 •Setup On Mac: 00:11:00 •Setup On Linux: 00:12:00 •Online Code Editor: 00:03:00 •Basic File Syntax: 00:05:00 •Printing (echo): 00:06:00 •Comments: 00:05:00 •Variables: 00:06:00 •Variable Data Types: 00:07:00 •Variable Naming: 00:03:00 •Constants: 00:02:00 •Arrays: 00:05:00 •Associative Arrays: 00:06:00 •Multidimensional Arrays: 00:04:00 •if Statement: 00:06:00 •ifelse Statement: 00:02:00 •ifelseifelse Statement: 00:05:00 •Switch Statement: 00:06:00 •while Loop: 00:06:00 •doWhile Loop: 00:03:00 •for Loop: 00:03:00 •foreach Loop: 00:05:00 •Break Statement: 00:02:00 •Continue Statement: 00:02:00 •Basic Function: 00:03:00 •Passing Function Arguments: 00:03:00 •Passing Function Arguments By Reference: 00:04:00 •Default Argument Value: 00:02:00 •Function Returning Values: 00:05:00 •Dynamic Function Calls: 00:03:00 •Variable Scope: 00:04:00 •Simple HTML Form: 00:07:00 •GET vs POST: 00:05:00 •$_SERVER ['PHP_SELF']: 00:07:00 •Validating Form Data With PHP: 00:07:00 •Required Fields: 00:05:00 •Display Error Messages: 00:05:00 •Validate Name: 00:03:00 •Validate Email: 00:03:00 •Validate URL: 00:07:00 •Keep The Values In The Form: 00:04:00 •Read File (readfile()): 00:02:00 •Open, Read & Close A File (fopen(), fread(), fclose()): 00:04:00 •Read Single Line (fgets()): 00:03:00 •Check End-Of-File (feof()): 00:02:00 •Read Single Character (fgetc()): 00:02:00 •Write To File (fwrite()): 00:03:00 •Configure php.ini File For File Uploading: 00:02:00 •Front End HTML Upload Form: 00:04:00 •PHP Upload Script: 00:15:00 •Check If File Exists: 00:03:00 •Limit File Size: 00:05:00 •Limit File Type: 00:04:00 •MySQL vs MySQLi vs PDO: 00:05:00 •Creating A Database & Table (phpMyAdmin): 00:06:00 •Connecting To A Database: 00:06:00 •Get Data Using SELECT Query: 00:10:00 •WHERE Property For Filtering: 00:03:00 •LIKE Property For Pattern Search: 00:02:00 •Sorting Results Using ORDER BY Property: 00:01:00 •Using JOINS: 00:08:00 •Insert Data Using INSERT Query: 00:04:00 •Get ID Of The Last Inserted Row: 00:02:00 •Insert Multiple Rows: 00:05:00 •Update Data Using UPDATE Query: 00:03:00 •Delete Data Using DELETE Query: 00:02:00 •Delete All Rows In A Table Using TRUNCATE Query: 00:02:00 •Delete Table Using DROP Query: 00:02:00 •Limit Data Selections Using LIMIT, ROWNUM: 00:04:00 •Create Table Using CREATE Query: 00:03:00 •Clone/Duplicate Table: 00:03:00 •Alter Table: 00:05:00 •Create Database: 00:02:00 •Drop Database: 00:02:00 •SQL Injection & Prepared Statements: 00:09:00 •What Is XML?: 00:02:00 •What Is SimpleXML?: 00:02:00 •Parse XML String: 00:08:00 •Parse XML File: 00:02:00 •Get Node Values: 00:02:00 •Get Node Values of Specific Elements: 00:03:00 •Get Node Values - Loop: 00:03:00 •Get Attribute Values: 00:02:00 •What Is The XML Expat Parser?: 00:02:00 •Initializing The XML Expat Parser: 00:10:00 •Load and Output XML Using DOM Parser: 00:02:00 •Looping Through XML Using DOM Parser: 00:03:00 •What Is AJAX?: 00:02:00 •Load Simple Data Using AJAX Front End: 00:08:00 •Load Simple Data Using AJAX Back End: 00:05:00 •Load Data From A Database Using AJAX: 00:08:00 •Send A Plain Text Email: 00:04:00 •Send A HTML Email: 00:06:00 •Email Attachments: 00:17:00 •PHPMailer Setup: 00:03:00 •Send Email Using PHPMailer: 00:04:00 •Send HTML Email Using PHPMailer: 00:04:00 •Email Attachments Using PHPMailer: 00:02:00 •What Is Object Oriented Programming (OOP)?: 00:03:00 •Basic Class With Variables: 00:04:00 •Functions: 00:05:00 •Constructor: 00:04:00 •Destructor: 00:02:00 •Inheritance: 00:06:00 •Multi Class Inheritance: 00:03:00 •Function Overriding: 00:03:00 •Public vs Private vs Protected: 00:05:00 •Interfaces: 00:04:00 •Constants: 00:03:00 •Abstract Class: 00:06:00 •Static Keyword: 00:03:00 •Final Keyword: 00:02:00 •Initiating Parent Constructor: 00:02:00 •die() Function: 00:02:00 •Custom Error Handler: 00:04:00 •Triggering An Exception: 00:03:00 •Exception Handling: 00:05:00 •Create Database & Table: 00:04:00 •User Class & Database Connection: 00:15:00 •Register User Form: 00:09:00 •Inserting User Data Into Database: 00:10:00 •Registration Form Field Validation: 00:12:00 •Securing User Password: 00:03:00 •Check If Username or Email Already Exists: 00:11:00 •Retain Data After Failed Registration: 00:03:00 •Validate an Integer Within a Range: 00:04:00 •Validate IPv6 Address: 00:03:00 •Validate URL - Must Contain QueryString: 00:03:00 •Remove Characters With ASCII Value > 127: 00:04:00 •Including & Requiring External PHP Files: 00:05:00 •Resource: 00:00:00 •Assignment - Ultimate PHP & MySQL Web Development Course & OOP Coding: 00:00:00

Overview This comprehensive course on SQL NoSQL Big Data and Hadoop will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This SQL NoSQL Big Data and Hadoop comes with accredited certification from CPD, 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? At the end of the course there will be an online written test, which you can take either during or after the course. After successfully completing the test you will be able to order your certificate, these are included in the price. Who is This course for? There is no experience or previous qualifications required for enrolment on this SQL NoSQL Big Data and Hadoop. It is available to all students, of all academic backgrounds. Requirements Our SQL NoSQL Big Data and Hadoop 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 Learning this new skill will help you to advance in your career. It will diversify your job options and help you develop new techniques to keep up with the fast-changing world. This skillset will help you to- Open doors of opportunities Increase your adaptability Keep you relevant Boost confidence And much more! Course Curriculum 14 sections • 130 lectures • 22:34:00 total length •Introduction: 00:07:00 •Building a Data-driven Organization - Introduction: 00:04:00 •Data Engineering: 00:06:00 •Learning Environment & Course Material: 00:04:00 •Movielens Dataset: 00:03:00 •Introduction to Relational Databases: 00:09:00 •SQL: 00:05:00 •Movielens Relational Model: 00:15:00 •Movielens Relational Model: Normalization vs Denormalization: 00:16:00 •MySQL: 00:05:00 •Movielens in MySQL: Database import: 00:06:00 •OLTP in RDBMS: CRUD Applications: 00:17:00 •Indexes: 00:16:00 •Data Warehousing: 00:15:00 •Analytical Processing: 00:17:00 •Transaction Logs: 00:06:00 •Relational Databases - Wrap Up: 00:03:00 •Distributed Databases: 00:07:00 •CAP Theorem: 00:10:00 •BASE: 00:07:00 •Other Classifications: 00:07:00 •Introduction to KV Stores: 00:02:00 •Redis: 00:04:00 •Install Redis: 00:07:00 •Time Complexity of Algorithm: 00:05:00 •Data Structures in Redis : Key & String: 00:20:00 •Data Structures in Redis II : Hash & List: 00:18:00 •Data structures in Redis III : Set & Sorted Set: 00:21:00 •Data structures in Redis IV : Geo & HyperLogLog: 00:11:00 •Data structures in Redis V : Pubsub & Transaction: 00:08:00 •Modelling Movielens in Redis: 00:11:00 •Redis Example in Application: 00:29:00 •KV Stores: Wrap Up: 00:02:00 •Introduction to Document-Oriented Databases: 00:05:00 •MongoDB: 00:04:00 •MongoDB Installation: 00:02:00 •Movielens in MongoDB: 00:13:00 •Movielens in MongoDB: Normalization vs Denormalization: 00:11:00 •Movielens in MongoDB: Implementation: 00:10:00 •CRUD Operations in MongoDB: 00:13:00 •Indexes: 00:16:00 •MongoDB Aggregation Query - MapReduce function: 00:09:00 •MongoDB Aggregation Query - Aggregation Framework: 00:16:00 •Demo: MySQL vs MongoDB. Modeling with Spark: 00:02:00 •Document Stores: Wrap Up: 00:03:00 •Introduction to Search Engine Stores: 00:05:00 •Elasticsearch: 00:09:00 •Basic Terms Concepts and Description: 00:13:00 •Movielens in Elastisearch: 00:12:00 •CRUD in Elasticsearch: 00:15:00 •Search Queries in Elasticsearch: 00:23:00 •Aggregation Queries in Elasticsearch: 00:23:00 •The Elastic Stack (ELK): 00:12:00 •Use case: UFO Sighting in ElasticSearch: 00:29:00 •Search Engines: Wrap Up: 00:04:00 •Introduction to Columnar databases: 00:06:00 •HBase: 00:07:00 •HBase Architecture: 00:09:00 •HBase Installation: 00:09:00 •Apache Zookeeper: 00:06:00 •Movielens Data in HBase: 00:17:00 •Performing CRUD in HBase: 00:24:00 •SQL on HBase - Apache Phoenix: 00:14:00 •SQL on HBase - Apache Phoenix - Movielens: 00:10:00 •Demo : GeoLife GPS Trajectories: 00:02:00 •Wide Column Store: Wrap Up: 00:05:00 •Introduction to Time Series: 00:09:00 •InfluxDB: 00:03:00 •InfluxDB Installation: 00:07:00 •InfluxDB Data Model: 00:07:00 •Data manipulation in InfluxDB: 00:17:00 •TICK Stack I: 00:12:00 •TICK Stack II: 00:23:00 •Time Series Databases: Wrap Up: 00:04:00 •Introduction to Graph Databases: 00:05:00 •Modelling in Graph: 00:14:00 •Modelling Movielens as a Graph: 00:10:00 •Neo4J: 00:04:00 •Neo4J installation: 00:08:00 •Cypher: 00:12:00 •Cypher II: 00:19:00 •Movielens in Neo4J: Data Import: 00:17:00 •Movielens in Neo4J: Spring Application: 00:12:00 •Data Analysis in Graph Databases: 00:05:00 •Examples of Graph Algorithms in Neo4J: 00:18:00 •Graph Databases: Wrap Up: 00:07:00 •Introduction to Big Data With Apache Hadoop: 00:06:00 •Big Data Storage in Hadoop (HDFS): 00:16:00 •Big Data Processing : YARN: 00:11:00 •Installation: 00:13:00 •Data Processing in Hadoop (MapReduce): 00:14:00 •Examples in MapReduce: 00:25:00 •Data Processing in Hadoop (Pig): 00:12:00 •Examples in Pig: 00:21:00 •Data Processing in Hadoop (Spark): 00:23:00 •Examples in Spark: 00:23:00 •Data Analytics with Apache Spark: 00:09:00 •Data Compression: 00:06:00 •Data serialization and storage formats: 00:20:00 •Hadoop: Wrap Up: 00:07:00 •Introduction Big Data SQL Engines: 00:03:00 •Apache Hive: 00:10:00 •Apache Hive : Demonstration: 00:20:00 •MPP SQL-on-Hadoop: Introduction: 00:03:00 •Impala: 00:06:00 •Impala : Demonstration: 00:18:00 •PrestoDB: 00:13:00 •PrestoDB : Demonstration: 00:14:00 •SQL-on-Hadoop: Wrap Up: 00:02:00 •Data Architectures: 00:05:00 •Introduction to Distributed Commit Logs: 00:07:00 •Apache Kafka: 00:03:00 •Confluent Platform Installation: 00:10:00 •Data Modeling in Kafka I: 00:13:00 •Data Modeling in Kafka II: 00:15:00 •Data Generation for Testing: 00:09:00 •Use case: Toll fee Collection: 00:04:00 •Stream processing: 00:11:00 •Stream Processing II with Stream + Connect APIs: 00:19:00 •Example: Kafka Streams: 00:15:00 •KSQL : Streaming Processing in SQL: 00:04:00 •KSQL: Example: 00:14:00 •Demonstration: NYC Taxi and Fares: 00:01:00 •Streaming: Wrap Up: 00:02:00 •Database Polyglot: 00:04:00 •Extending your knowledge: 00:08:00 •Data Visualization: 00:11:00 •Building a Data-driven Organization - Conclusion: 00:07:00 •Conclusion: 00:03:00 •Assignment -SQL NoSQL Big Data and Hadoop: 00:00:00

Elevate your career and job prospects with our Sales and Marketing with Negotiation Skills Level 5 Diploma. Aspiring to climb the corporate ladder? Are you keen on boosting your selling figures? From boutique firms to multinational conglomerates, the demand for skilled professionals in Sales and Marketing has never been greater. With our comprehensive Level 5 Diploma, you'll be ideally placed to tap into this burgeoning market. The course begins with a robust introduction to selling, setting the stage for in-depth selling Growth and Hypnosis modules. Learn how to deliver captivating Presentations and comprehend the synergies and complexities between Sales and Marketing. We've handpicked modules that focus on the nitty-gritty, like dealing with customers and handling objections, to ensure you're battle-ready for the real world of Sales and Marketing. On top of that, we've packed in proven tips and tricks that can skyrocket your selling figures. Equip yourself with the ultimate toolkit in Sales and Marketing. Seize this chance to make Sales and Marketing your stepping stone to an illustrious career. This isn't just a course; it's your passport to becoming a master in this sector. Learning Outcomes Grasp fundamental Sales and Marketing principles and methodologies. Hone skills to craft and deliver engaging selling pitches. Harness advanced techniques in Sales and Marketing negotiations, ensuring win-win outcomes while preserving business relationships. Enhance communication abilities to foster trust in transactions. Learn strategies to address and overcome customer objections. Apply Sales and Marketing theories in real-world scenarios, utilising tips and tricks from the course to enhance performance and drive business growth. The Sales and Marketing with Negotiation Skills Level 5 Diploma offers a comprehensive training package to equip you for a rewarding career in this sector. The course is divided into 11 key modules, each designed to tackle a specific area vital to mastering the world of Sales and Marketing. The journey begins with an Introduction to Selling, laying the groundwork for what follows. It moves on to selling Growth, offering strategies to scale business operations, and delves into the psychological aspects of selling Hypnosis. Other modules, such as selling Presentation and Communication Skills, focus on perfecting your pitch and client interaction. Critical modules like Leverage and Limitations and Sales Negotiations dive deep into strategic parts of Sales and Marketing, teaching you how to maximise gains while being aware of potential pitfalls. By arriving at modules concerning Dealing with Customers and Handling Objections, you'll be well-prepared to face real-world challenges in Sales and Marketing. The course concludes with Tips and Tricks for Sale, arming you with practical advice to elevate your Sales and Marketing career. Enrol now to transform yourself into a Sales and Marketing professional. Show off your new skills with a certificate of completion Hardcopy: Hardcopy Certificate: £9.99 (FREE UK Delivery) Hardcopy Transcript: £9.99 CPD 10 CPD hours / points Accredited by CPD Quality Standards Module 01: Introduction to Sales 13:23 1: Introduction to Sales Preview 13:23 Module 02: Sales Growth 14:35 2: Sales Growth 14:35 Module 03: Sales Hypnosis 12:00 3: Sales Hypnosis 12:00 Module 04: Sales Presentation 11:24 4: Sales Presentation 11:24 Module 05: Sales and Marketing 16:44 5: Sales and Marketing 16:44 Module 06: Leverage and Limitations 09:23 6: Leverage and Limitations 09:23 Module 07: Communication Skills 13:13 7: Communication Skills 13:13 Module 08: Negotiations 17:07 8: Sales Negotiations 17:07 Module 09: Dealing with Customers 14:59 9: Dealing with Customers 14:59 Module 10: Handling Objections 10:57 10: Handling Objections 10:57 Module 11: Tips and Tricks for Sale 11:36 11: Tips and Tricks for Sale 11:36 Get your CPD Certificate 01:00 12: Get your CPD Certificate 01:00 PDF Who is this course for? This Sales and Marketing with Negotiation Skills course is perfect for: Aspiring Salespersons: Those keen on entering the Sales and Marketing domain. Established Salespeople: Professionals aiming to refine skills. Business Owners: Entrepreneurs wishing to boost their strategies. Marketing Executives: Those wanting a synergised sales and marketing approach. Team Leaders: Individuals looking to elevate their team's output. Career Changers: People from varied fields exploring this industry. After completing this course, anyone can later enrol in these courses: NCFE Level 3 Diploma in Skills for Business: Sales and Marketing Level 4 Diploma in Sales and Marketing Management (RQF) Level 2 Award in Underage Sales Prevention (RQF) Level 5 Certificate in Sales (RQF) Requirements Without any formal requirements, you can delightfully enrol in this Sales and Marketing with Negotiation Skills Level 5 Diploma course. Career path The aim of this exclusive Sales and Marketing with Negotiation Skills course is to help you toward your dream career. So, complete this course and enhance your skills to explore opportunities in relevant areas: Sales Manager Sales Representative Negotiator Salesperson Sales Executive Administration Assistant

Do you want a job that will both challenge and gratify you? Do you want to work in an industry that is growing rapidly and offers many opportunities for advancement? If so, then a facilities management course may be the perfect fit for you. In recent news, Facilities Management has been in the spotlight due to its pivotal role in helping businesses adapt to evolving work environments, especially in the post-pandemic era. Companies increasingly rely on Facilities Managers to ensure safe, efficient, and flexible workplaces that accommodate remote work and shifting office dynamics. This demonstrates the continued relevance and importance of Facilities Management in today's rapidly changing world of work. This course isn't just about theoretical knowledge; it's designed to equip you with practical skills immediately applicable in real-world scenarios. Whether you're looking to advance in your current role or make a fresh start in Facilities Management, this course provides the essential tools and expertise you need. Join us today and open the door to a world of opportunities in Facilities Management. Learning Outcomes: Upon completing the Facilities Management course, learners will: Core Understanding: Gain a thorough grasp of Facilities Management fundamentals. Space Optimization: Master efficient space management techniques. Safety and Sustainability: Learn workplace safety and sustainable practices. Vendor and Contract Expertise: Develop skills in vendor and contract management. Project Management: Acquire project management proficiency tailored for Facilities Management. Career Advancement: Enhance your career prospects and become an industry-ready professional. What will make you stand out? On completion of this Facilities Management online course, you will gain: CPD QS Accredited Proficiency Lifetime access to the whole collection of learning materials. The online test with immediate results You can study and complete the Facilities Management course at your own pace. Study for the Facilities Management course using any internet-connected device, such as a computer, tablet, or mobile device. The field of Facilities Management presents a diverse range of opportunities for aspiring professionals. With the proper knowledge and skills, learners can step into roles such as Facility Manager, overseeing the efficient functioning of buildings and infrastructure. Space Management specialists are in high demand and responsible for optimising workspace layouts to enhance productivity and employee satisfaction. Additionally, those interested in sustainability can explore roles as Sustainability Consultants, helping organisations adopt eco-friendly practices in facility operations. As you progress through the modules, you'll gain a deep understanding of various facets of Facilities Management, from space optimisation to sustainable practices and project management. This knowledge will enhance your job performance and open doors to a wide range of career opportunities. Whether you aspire to climb the corporate ladder, transition to a leadership role, or explore new horizons, this Facilities Management course will empower you to achieve your career goals. Don't miss this chance to elevate your professional journey - enrol today and set yourself on a path to career advancement and success. CPD 10 CPD hours / points Accredited by CPD Quality Standards Module 01: Introduction to Facilities Management 13:12 1: Introduction to Facility Management Preview 13:12 Module 02: Space Management 10:57 2: Space Management 10:57 Module 03: Managing Workplace Services 17:06 3: Managing Workplace Services 17:06 Module 04: Human Resource and Contract Management 17:06 4: Human Resource and Contract Management 17:06 Module 05: Lease Purchase and Vendor Management 12:43 5: Lease Purchase and Vendor Management 12:43 Module 06: Health and Safety at Work 11:34 6: Health and Safety at Work 11:34 Module 07: Sustainable Facilities Management 08:21 7: Sustainable Facility Management 08:21 Module 08: Maintenance and Repairs 11:37 8: Maintenance and Repairs 11:37 Module 09: Project Management 16:21 9: Project Management 16:21 Module 10: Business Development and Succession Planning 13:16 10: Business Development and Succession Planning 13:16 Assignment - Facilities Management 03:00 11: Assignment On Facilities Management 03:00 PDF Who is this course for? This Facilities Management package is suitable for the following: Facility Managers Aspiring Managers Property Managers Entrepreneurs Project Managers By enrolling in this Facilities Management course, you'll master the fundamental concepts and get a thorough understanding of the subject. Requirements Without any formal requirements, you can delightfully enrol in this Facilities Management course. Career path You may earn anything from £23,000 to £47,000 annually in the UK, depending on your career. The following are examples of standard job titles and roles in the field of facilities management: Facilities Manager Support Services Manager Contracts Manager Estates Manager Asset Manager Facilities Coordinator / Supervisor Plant or Operations Manager Certificates CPD Quality Standard Certificate Digital certificate - £4.99 Hardcopy Certificate (FREE UK Delivery) Hard copy certificate - £9.99 Hardcopy Transcript: £9.99

Petroleum refining is a complex method. This process included various steps and techniques. Therefore, without adequate knowledge, it isn't easy to pursue a career in this industry. The Petroleum Refining Demystified Course is the perfect place to develop a clear understanding of petroleum refining if you want to establish a brilliant career in the petroleum industry. The Petroleum Refining Demystified Course will first introduce you to the basics of crude oil refining. From the easy to follow modules, you will enrich your knowledge about the properties found in petroleum. Then this course will help you understand the process of distillation and fractionation. You will also grasp the techniques used in converting and hydrofining petroleum cuts. In addition, the course will introduce you to the methods of blending operations and making asphalt. This comprehensive Petroleum Refining Demystified Course will provide you with an overall understanding of the subject. You will acquire the essential knowledge and skills to become a part of the oil industry. Enrol now and prepare yourself to climb the career ladder. Learning Objectives Understand the basic principles of crude oil refining Familiarise yourself with the petroleum properties Learn about the process of distillation and fractionation Know the techniques of converting and hydrofining petroleum cuts Develop a clear understanding of blending operations and making asphalt Gain in-depth knowledge of a typical refinery operation Who is this Course for? This Petroleum Refining Demystified Course is ideal for aspiring oil industry professionals or those who wish to gain the relevant skills and knowledge to fast track their careers. It is for those who have little or no knowledge of the principles of petroleum refining or those who are new to the field and want to test their skills and knowledge. There are no entry requirements for this course; however, an eye for detail and a creative mind is essential. Entry Requirement Anyone interested in learning more about this subject should take this Petroleum Refining Demystified Course. This course will help you grasp the basic concepts as well as develop a thorough understanding of the subject. The course is open to students from any academic background, as there is no prerequisites to enrol on this course. The course materials are accessible from an internet enabled device at anytime of the day. CPD Certificate from Course Gate At the successful completion of the course, you can obtain your CPD certificate from us. You can order the PDF certificate for £4.99 and the hard copy for £9.99. Also, you can order both PDF and hardcopy certificates for £12.99. Career path Upon successfully completing the Petroleum Refining Demystified Course, learners can progress to a more advanced program from our course list. Career opportunities in this field include freelancing or working in-house, within a range of professional settings, with the opportunity to earn a high salary. Related professions in this industry include: Refinery operators Refinery technicians Course Curriculum Module 01: About the Course Course learning objectives 00:06:00 Module 02: Overview of Crude Oil Refining Refining activity overview 00:03:00 Module 03: Petroleum Properties Crude oil: Composition and characteristics 00:28:00 Module 04: Distillation and Fractionation Atmospheric distillation 00:12:00 Vacuum distillation 00:03:00 Light cut fractionation 00:04:00 Module 05: Converting Petroleum Cuts Isomerization 00:08:00 Alkylation 00:05:00 Catalytic reforming 00:09:00 Module 06: Hydrofining Petroleum Cuts Hydrotreating 00:08:00 Sulfur plant 00:05:00 Module 07: Cracking Heavy Petroleum Cuts Fluid catalytic cracking 00:09:00 Hydrocracking 00:04:00 Delayed coking 00:03:00 Module 08: Blending Operation Blending of finished petroleum products 00:04:00 Module 09: Making Asphalts Asphalts 00:06:00 Module 10: A Typical Refinery Operation A typical refinery scheme 00:07:00 Certificate and Transcript Order Your Certificates or Transcripts 00:00:00

Overview This comprehensive course on Python for Data Analysis will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Python for Data Analysis 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 Python for Data Analysis. It is available to all students, of all academic backgrounds. Requirements Our Python for Data Analysis 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 19 sections • 99 lectures • 00:08:00 total length •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 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 •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 •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 •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 •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 •Pandas Built-in Data Visualization: 00:34:00 •Pandas Data Visualization Exercises Overview: 00:03:00 •Panda Data Visualization Exercises Solutions: 00:13:00 •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 •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 •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 •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 •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 •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 •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 •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 •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 •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 •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- Python for Data Analysis: 00:00:00