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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 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

Overview In this age of technology, data science and machine learning skills have become highly demanding skill sets. In the UK a skilled data scientist can earn around £62,000 per year. If you are aspiring for a career in the IT industry, secure these skills before you start your journey. The Complete Machine Learning & Data Science Bootcamp 2023 course can help you out. This course will introduce you to the essentials of Python. From the highly informative modules, you will learn about NumPy, Pandas and matplotlib. The course will help you grasp the skills required for using python for data analysis and visualisation. After that, you will receive step-by-step guidance on Python for machine learning. The course will then focus on the concepts of Natural Language Processing.  Upon successful completion of the course, you will receive a certificate of achievement. This certificate will help you elevate your resume. So enrol today! 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? Anyone with an interest in learning about data science can enrol in this course. It will help aspiring professionals develop the basic skills to build a promising career. Professionals already working in this can take the course to improve their skill sets. Requirements The students will not require any formal qualifications or previous experience to enrol in this course. Anyone can learn from the course anytime from anywhere through smart devices like laptops, tabs, PC, and smartphones with stable internet connections. They can complete the course according to their preferable pace so, there is no need to rush.   Career Path This course will equip you with valuable knowledge and effective skills in this area. After completing the course, you will be able to explore career opportunities in the fields such as Data Analyst Data Scientist Data Manager Business Analyst Course Curriculum 18 sections • 98 lectures • 23:48:00 total length •Welcome & Course Overview6: 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): 00:17:00 •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

Overview This comprehensive course on Digital Marketing Agency Elite Consultants Masterclass will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Digital Marketing Agency Elite Consultants Masterclass 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 Digital Marketing Agency Elite Consultants Masterclass. It is available to all students, of all academic backgrounds. Requirements Our Digital Marketing Agency Elite Consultants Masterclass 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 8 sections • 141 lectures • 21:55:00 total length •DMA Elite Consultant Course Overview: 00:10:00 •Best Way To Learn These Skills: 00:10:00 •Rewiring Your Brain For MAX Success: 00:53:00 •The Business Model: 00:29:00 •How We Help Businesses: 00:47:00 •2 Types of Digital Marketing Agencies: 00:06:00 •Your Agency Starter Kit: 00:05:00 •Moving Parts of Your Agency: 00:15:00 •Business Applications Overview: 00:06:00 •Set Up Your Free Agency Website: 00:04:00 •Setup Hosting Name Servers: 00:01:00 •How To Install WordPress: 00:01:00 •Install Your Agency Website: 00:17:00 •Setup Your Business Email: 00:06:00 •Your Daily Productivity Hub: 00:14:00 •Laser Focus & Productivity Tools: 00:06:00 •5 Step Agency Success Blueprint: 00:08:00 •Step by Step Action Plan: 00:05:00 •Targeting Your Ideal Clients: 00:14:00 •The Best Niches To Target: 00:08:00 •How To Find Hot Leads Part 1: 00:21:00 •How To Find Hot Leads Part 2: 00:28:00 •How To Find Hot Leads Part 3: 00:20:00 •Google Ads Prospecting: 00:26:00 •Google Ads Advanced Prospecting: 00:15:00 •Google Ads Secret Prospecting Tool: 00:04:00 •Google LSA Prospecting: 00:05:00 •Get Clients With Video Audits: 00:06:00 •Video Audit Email Template Overview: 00:05:00 •Google Ads Video Audit Walkthrough: 00:07:00 •Google Ads Example Video Audit: 00:12:00 •Example Video Audit: 00:02:00 •Example Video Audit #2: 00:04:00 •Facebook Ads Video Audit Walkthrough: 00:07:00 •Facebook Ads Video Audit Script: 00:03:00 •Secret Lead Finder Tool: 00:10:00 •Cold Email Lead Generation System: 00:06:00 •How To Find Case Studies: 00:11:00 •Free Ready To Use Case Studies: 00:02:00 •Where To Get Email Lists: 00:07:00 •How To Write Emails That Convert: 00:28:00 •Get Clients With These Email Templates: 00:16:00 •Get Clients With Social Media Audits: 00:06:00 •Email Guidelines To Follow: 00:08:00 •Good Prospect vs Bad Prospect: 00:06:00 •My Secret Email Template: 00:07:00 •Converting Emails Into Meetings: 00:10:00 •Schedule Calendar Appointments: 00:03:00 •Booking Software Walkthrough: 00:11:00 •Cold Email Automation Tool: 00:07:00 •How To Get Clients on Linkedin: 00:17:00 •Linkedin Basic Search Overview: 00:05:00 •Finding Hot Leads on Linkedin: 00:10:00 •Get Free Leads Sent To Your Inbox: 00:03:00 •Get Instant Credibility on Linkedin: 00:04:00 •Get Clients With Facebook Ads: 00:03:00 •Setup Your Facebook Ads Campaign: 00:08:00 •Automate FB Leads + Landing Page Booking: 00:07:00 •4 Step Cold Calling System: 00:09:00 •Psychology of Cold Calling: 00:07:00 •Working With Gatekeepers: 00:06:00 •Digital Marketing Agency Sales Foundations: 00:07:00 •How To Build Rapport: 00:07:00 •How To Use Tonality: 00:05:00 •Influencing With Language Patterns: 00:07:00 •The 3 Types of Prospects: 00:06:00 •Sales Objection Mastery: 00:16:00 •The Mindset Challenges of Sales: 00:09:00 •The Perfect Discovery Call: 00:20:00 •The Perfect Presentation Call: 00:10:00 •Sales Pipeline CRM Walk-Through: 00:04:00 •How To Collect Payments: 00:05:00 •How To Onboard Clients: 00:09:00 •Step by Step Action Plan: 00:05:00 •Google Ads Overview: 00:18:00 •Google Ads Keyword Overview: 00:14:00 •Create Google Ads Account: 00:08:00 •Google Ads Campaign Creation: 00:20:00 •Google Ads Tools and Settings: 00:04:00 •Google Ads Keyword Research: 00:17:00 •Google Ads Advanced KW Research: 00:08:00 •Setting Up Google Ad Extensions: 00:06:00 •How To Install Google Analytics: 00:05:00 •Google Ads Copywriting Mastery: 00:29:00 •Google Ads Keyword Optimization: 00:03:00 •Google Ads Remarketing: 00:08:00 •WordPress Walkthrough: 00:11:00 •Landing Page Builder Walk-Through: 00:31:00 •Zapier Lead Automation: 00:04:00 •How To Setup Call Tracking: 00:07:00 •Google Ads Cost Calculator: 00:08:00 •Google Ads Presentation Walkthrough: 00:13:00 •Google Local Service Ads: 00:19:00 •Google Local Service Ads Presentation: 00:14:00 •Additional Materials: 00:00:00 •Facebook Ads Overview: 00:14:00 •The Ultimate Facebook Ads Formula: 00:14:00 •7 Principles of Influence: 00:08:00 •The Value Ladder: 00:05:00 •Facebook ROAS Calculator: 00:06:00 •Business Manager Overview: 00:08:00 •Ads Manager Walkthrough: 00:13:00 •Facebook Pixel Setup Walkthrough: 00:08:00 •Traffic Campaign Ad Setup: 00:12:00 •Setting Ad Budget and Schedule: 00:04:00 •Clicks Campaign To Conversions: 00:06:00 •Conversion Campaign Ad Setup: 00:04:00 •Page Post Campaign Setup: 00:07:00 •Traffic and PPE Ad Stacking: 00:09:00 •Lead Ads Campaign Setup: 00:04:00 •How To Create Video Ads: 00:07:00 •Facebook Naming Structure Overview: 00:03:00 •Campaign, Adset & Ad Naming Walkthrough: 00:04:00 •Facebook Ads Copywriting Templates: 00:10:00 •Facebook Ads Split Testing: 00:04:00 •Facebook Ads Policy: 00:03:00 •Facebook CBO Overview: 00:06:00 •Facebook Retargeting Overview: 00:05:00 •Creating Retargeting Audiences: 00:05:00 •Creating LAL Audiences: 00:03:00 •Creating Audience From Customer List: 00:04:00 •Facebook Audience Insights Tool: 00:09:00 •Get Access To Competitors Ads: 00:04:00 •Facebook Ad Performance Metrics: 00:07:00 •Digital Marketing KPI's: 00:07:00 •Facebook Ads Pitchdeck: 00:13:00 •Additional Materials: 00:00:00 •Doing The Work Yourself: 00:05:00 •Outsourcing To White-label Agency: 00:06:00 •Service Fulfillment Partner: 00:48:00 •Hiring Independent Contractors: 00:05:00 •How To Find Appointment Setters: 00:11:00 •How To Find Sales Reps: 00:06:00 •How To Make Easy Money Selling Websites: 00:00:00 •How To Find Web Design Clients: 00:14:00 •Crawl Space Services Funnel: 00:00:00 •Auto Detail Funnel: 00:00:00 •Dental Implants Funnel: 00:00:00 •DUI Attorney Funnel: 00:00:00 •Divorce Attorney Funnel: 00:00:00 •Assignment - Digital Marketing Agency Elite Consultants Masterclass: 00:00:00

Discount Course | Downloadable FREE 'Mini Course' | Lifetime Access | CPD Accredited | Exam Included

CPD Accredited | Career Oriented Learning Modules | 24x7 Tutor Support | Lifetime Access

Overview This comprehensive course on 200 Common English Idioms and Phrases will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This 200 Common English Idioms and Phrases 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 200 Common English Idioms and Phrases. It is available to all students, of all academic backgrounds. Requirements Our 200 Common English Idioms and Phrases course 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 12 sections • 202 lectures • 06:41:00 total length •Introduction: 00:02:00 •What are Idioms and Why We Must Learn Them?: 00:01:00 •More about this Course: 00:02:00 •Shoot Yourself in the Foot: 00:02:00 •My Lips are Sealed: 00:02:00 •Hit the Nail on the Head: 00:02:00 •Tighten Someone's Belt: 00:02:00 •Frog in Throat: 00:02:00 •Slip Someone's Mind: 00:02:00 •Lose Someone's Face: 00:02:00 •Come Rain or Shine: 00:02:00 •Turn Yourself in: 00:02:00 •Cost an Arm and Leg: 00:02:00 •Homie: 00:02:00 •Give Someone a Cold Shoulder: 00:02:00 •Have an Egg on Someone's Face: 00:02:00 •Get Butterfly in Someone's Stomach: 00:02:00 •Throw Someone's Money around: 00:02:00 •Play Innocent: 00:02:00 •Turn Someone's Stomach: 00:02:00 •Not Cut out for Something: 00:02:00 •Kick Someone out: 00:02:00 •To Put the Blame on Someone: 00:02:00 •Hands Off: 00:02:00 •Pass Away: 00:02:00 •Cut the Deal: 00:02:00 •For My Money: 00:02:00 •Burn Your Bridges: 00:02:00 •Come in Handy: 00:02:00 •Come at Price: 00:02:00 •In a Broad Daylight: 00:02:00 •In the Mood to do Something: 00:02:00 •In a Jiffy: 00:02:00 •In so Many Words: 00:02:00 •Put Your Mind to It: 00:02:00 •Joking Apart , Joking Aside: 00:02:00 •In Your Dreams: 00:02:00 •Green with Envy: 00:02:00 •Overstep the Line: 00:02:00 •Have a Craving for Something: 00:02:00 •Red Herring: 00:02:00 •Brush Up on Something: 00:02:00 •Clown Around: 00:02:00 •Top Banana: 00:02:00 •Work Like a Dog: 00:02:00 •Mouse Potato: 00:02:00 •Teeny-Weeny: 00:02:00 •Take Time Off: 00:02:00 •On the Eleventh Hour: 00:02:00 •How Dare You: 00:02:00 •Hush-Hush: 00:02:00 •Over Someone's Head: 00:02:00 •Not Lift a Finger: 00:02:00 •Fall Behind: 00:02:00 •Make a Fuss: 00:02:00 •That's no Excuse: 00:02:00 •Fender-Bender: 00:02:00 •Scare Someone to Death: 00:02:00 •Come Down to Earth: 00:02:00 •Nothing between the Ears: 00:02:00 •Lay an Egg: 00:02:00 •Feel Like a Million Dollars: 00:02:00 •I wasn't Born Yesterday: 00:02:00 •Peanut Money: 00:02:00 •Run Into: 00:02:00 •I'll Eat My Hat: 00:02:00 •Sing Like a Bird: 00:02:00 •Black Out: 00:02:00 •On Tip of Someone's Tongue: 00:02:00 •Time Flies: 00:02:00 •Tie the Knot: 00:02:00 •Something Sucks: 00:02:00 •Step on It: 00:02:00 •Creep by: 00:02:00 •Pull Someone's Leg: 00:02:00 •A Pain in the Neck: 00:02:00 •Out of the Blue: 00:02:00 •Off-Color Jokes: 00:02:00 •Heart in the Right Place: 00:02:00 •Hush Money: 00:02:00 •Chicken Out: 00:02:00 •Fill Someone's Shoes: 00:02:00 •Cut it Out: 00:02:00 •To be Off ( food ): 00:02:00 •Make Up ( story ): 00:02:00 •Soak Up: 00:02:00 •Make up for someone or something: 00:02:00 •Own Up: 00:02:00 •To be Taken Aback: 00:02:00 •Break Down: 00:02:00 •Hit Below the Belt: 00:02:00 •Get Carried Away: 00:02:00 •Make Ends Meet: 00:02:00 •look Down on Someone: 00:02:00 •Drop Off: 00:02:00 •All-Nighter: 00:02:00 •At the End of Your Rope: 00:02:00 •Basket Case: 00:02:00 •Cold Feet: 00:02:00 •Sell Someone Short: 00:02:00 •Go Bananas: 00:02:00 •Copycat: 00:02:00 •Jump Ship: 00:02:00 •Know-it-All: 00:02:00 •No-Brainer: 00:02:00 •To Mess Up with Someone: 00:02:00 •Knock on the Wood: 00:02:00 •If I Get my Hands on You: 00:02:00 •Come Clean: 00:02:00 •Have a Lot in Plate: 00:02:00 •It's Between to Our Ears: 00:02:00 •What a Mess: 00:02:00 •I'm All Eyes: 00:02:00 •To Have a Lot in Common: 00:02:00 •Go Dutch: 00:02:00 •Eye- Catching: 00:02:00 •Take Your Time: 00:02:00 •Tough Guy: 00:02:00 •Kick up Someone's Heels: 00:02:00 •Make a Boo-Boo!: 00:02:00 •Voracious: 00:02:00 •To Make a Fortune: 00:02:00 •To be on the Go: 00:02:00 •Cool Someone's Heels: 00:02:00 •Top Dog: 00:02:00 •Road Hog: 00:02:00 •To Put Someone on a Pedestal: 00:02:00 •Bury the Hatchet: 00:02:00 •Zip Someone's Mouth: 00:02:00 •To Ditch Someone: 00:02:00 •Henpecked Husband: 00:02:00 •Bury the Head in the Sand: 00:02:00 •Eager Beaver: 00:02:00 •Until the Cows Come Home: 00:02:00 •Worn Out: 00:02:00 •Drag Someone's Feet: 00:02:00 •Keep Someone's Words: 00:02:00 •Bookworm: 00:02:00 •To be an Old Hand: 00:02:00 •Runny Nose: 00:02:00 •That's News to Me: 00:02:00 •To Have a Heart of Gold: 00:02:00 •Get to the Point: 00:02:00 •To Get out of Bed on the Wrong Side: 00:02:00 •Barking Up the Wrong Tree: 00:02:00 •To Have Other Fish to Fry: 00:02:00 •No Offense: 00:02:00 •Two-Fisted: 00:02:00 •To Thumb Your Nose at Somebody: 00:02:00 •I Got Your 6: 00:02:00 •Act Your Age: 00:02:00 •Pig Out: 00:02:00 •To Make Up for Something: 00:02:00 •To Hell with Something or Somebody: 00:02:00 •Hop in: 00:02:00 •Cut the Comedy: 00:02:00 •Why the Long Face: 00:02:00 •Ta-ta for Now: 00:02:00 •The Damage is Done: 00:02:00 •Turn on the Waterworks: 00:02:00 •Home Sweet Home: 00:02:00 •A Dead Ringer for Someone: 00:02:00 •Your Wish is My Command: 00:02:00 •Just My Luck: 00:02:00 •What's It to You?: 00:02:00 •To Answer the Call of Nature: 00:02:00 •To be Stuffed: 00:02:00 •Not to be on Speaking Term: 00:02:00 •Wearing Odd Shoes / Gloves / Socks: 00:02:00 •Rise and Shine: 00:02:00 •Stand Someone Up: 00:02:00 •Pangs of Conscience: 00:02:00 •Leave It to Someone: 00:02:00 •Walking Papers: 00:02:00 •Jump Down Someone's Throat: 00:02:00 •To Soak Someone: 00:02:00 •To have a screw loose: 00:02:00 •To Blow the Fuse: 00:02:00 •Hit and Miss: 00:02:00 •Eat Like a Horse: 00:02:00 •Not in the Same Wave Length: 00:02:00 •Eat Your Words: 00:02:00 •From A to z: 00:02:00 •As White as a Sheet: 00:02:00 •Find Someone's Feet: 00:02:00 •Shake a Leg: 00:02:00 •Wind Your Neck in: 00:02:00 •Save Someone's Neck: 00:02:00 •It's Beyond Your Dignity: 00:02:00 •You are Over the Hump: 00:02:00 •Rainy Day: 00:02:00 •To have a Big Mouth: 00:02:00 •Not in a Good Mood: 00:02:00 •Dog Days: 00:02:00 •To Stab Somebody in the Back: 00:02:00 •To Get a Kick Out of Something: 00:02:00 •Feel Under the Weather: 00:02:00 •Pipe Down: 00:02:00 •Never Say Die: 00:02:00 •Get in Someone's Hair: 00:02:00 •Cat Got Your Tongue: 00:02:00 •Assignment - 200 Common English Idioms and Phrases: 00:00:00

CPD Accredited | Career Oriented Learning Modules | 24x7 Tutor Support | Lifetime Access

The 'HVAC Basics and Refrigeration' diploma course provides a comprehensive understanding of Heating, Ventilation, and Air Conditioning (HVAC) systems, including heating, ventilation, air conditioning, refrigeration, and safety practices in the HVAC industry. Learning Outcomes: Gain foundational knowledge of HVAC systems, including heating, ventilation, and air conditioning. Understand the fundamentals of heating and psychrometrics, essential for HVAC technicians. Learn about different HVAC systems, including air conditioning and water chillers, along with their components like compressors and fans. Familiarize with piping and duct systems used in HVAC installations. Explore refrigeration principles, refrigerants, and special applications in the HVAC industry. Acquire insights into HVAC system selection and safety practices to ensure a safe working environment for HVAC technicians. Why buy this HVAC Basics and Refrigeration Diploma? Unlimited access to the course for forever Digital Certificate, Transcript, student ID all included in the price Absolutely no hidden fees Directly receive CPD accredited qualifications after course completion Receive one to one assistance on every weekday from professionals Immediately receive the PDF certificate after passing Receive the original copies of your certificate and transcript on the next working day Easily learn the skills and knowledge from the comfort of your home Certification After studying the course materials of the HVAC Basics and Refrigeration Diploma you will be able to take the MCQ test that will assess your knowledge. After successfully passing the test you will be able to claim the pdf certificate for £5.99. Original Hard Copy certificates need to be ordered at an additional cost of £9.60. Who is this course for? This HVAC Basics and Refrigeration Diploma does not require you to have any prior qualifications or experience. You can just enrol and start learning.  Prerequisites This HVAC Basics and Refrigeration Diploma was made by professionals and it is compatible with all PC's, Mac's, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection. Career path As this course comes with multiple courses included as bonus, you will be able to pursue multiple occupations. This HVAC Basics and Refrigeration Diploma is a great way for you to gain multiple skills from the comfort of your home. Course Curriculum HVAC Basics and Refrigeration Module 01: Introduction to Heating, Ventilation & Air Conditioning (HVAC) 00:16:00 Module 02: Heating Fundamentals and Psychrometrics 00:36:00 Module 03: HVAC Systems 00:18:00 Module 04: Heating and Ventilation 00:25:00 Module 05: Air Conditioning Systems for HVAC Technicians 00:26:00 Module 06: Compressors, Water Chillers, and Fans 00:28:00 Module 07: Piping for HVAC Technician 00:23:00 Module 08: Duct System in HVAC 00:31:00 Module 09: Refrigeration and Refrigerants 00:24:00 Module 10: Special Applications 00:27:00 Module 11: HVAC System Selection 00:21:00 Module 12: Safety in the HVAC Industry 00:30:00 Mock Exam Mock Exam - HVAC Basics and Refrigeration Diploma 00:20:00 Final Exam Final Exam - HVAC Basics and Refrigeration Diploma 00:20:00

From mastering the basics of cake baking to creating intricate frosting designs, this course covers everything you need to know to become a skilled cake artist. With step-by-step instructions and practical demonstrations, you'll learn professional techniques that will enable you to create stunning cakes for any occasion.