616 Courses

Overview This comprehensive course on Data Science & Machine Learning with R will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Data Science & Machine Learning with R 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 Data Science & Machine Learning with R. It is available to all students, of all academic backgrounds. Requirements Our Data Science & Machine Learning with R 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 10 sections • 69 lectures • 22:07:00 total length •Data Science and Machine Learning Introduction: 00:03:00 •What is Data Science: 00:10:00 •Machine Learning Overview: 00:05:00 •Who is This Course for: 00:03:00 •Data Science and Machine Learning Marketplace: 00:05:00 •Data Science and Machine Learning Job Opportunities: 00:03:00 •Getting Started: 00:11:00 •Basics: 00:06:00 •Files: 00:11:00 •RStudio: 00:07:00 •Tidyverse: 00:05:00 •Resources: 00:04:00 •Unit Introduction: 00:30:00 •Basic Type: 00:09:00 •Vector Part One: 00:20:00 •Vectors Part Two: 00:25:00 •Vectors - Missing Values: 00:16:00 •Vectors - Coercion: 00:14:00 •Vectors - Naming: 00:10:00 •Vectors - Misc: 00:06:00 •Creating Matrics: 00:31:00 •List: 00:32:00 •Introduction to Data Frames: 00:19:00 •Creating Data Frames: 00:20:00 •Data Frames: Helper Functions: 00:31:00 •Data Frames Tibbles: 00:39:00 •Intermediate Introduction: 00:47:00 •Relational Operations: 00:11:00 •Conditional Statements: 00:11:00 •Loops: 00:08:00 •Functions: 00:14:00 •Packages: 00:11:00 •Factors: 00:28:00 •Dates and Times: 00:30:00 •Functional Programming: 00:37:00 •Data Import or Export: 00:22:00 •Database: 00:27:00 •Data Manipulation in R Introduction: 00:36:00 •Tidy Data: 00:11:00 •The Pipe Operator: 00:15:00 •The Filter Verb: 00:22:00 •The Select Verb: 00:46:00 •The Mutate Verb: 00:32:00 •The Arrange Verb: 00:10:00 •The Summarize Verb: 00:23:00 •Data Pivoting: 00:43:00 •JSON Parsing: 00:11:00 •String Manipulation: 00:33:00 •Web Scraping: 00:59:00 •Data Visualization in R Section Intro: 00:17:00 •Getting Started: 00:16:00 •Aesthetics Mappings: 00:25:00 •Single Variable Plots: 00:37:00 •Two Variable Plots: 00:21:00 •Facets, Layering, and Coordinate Systems: 00:18:00 •Styling and Saving: 00:12:00 •Creating with R Markdown: 00:29:00 •Introduction to R Shiny: 00:26:00 •A Basic R Shiny App: 00:31:00 •Other Examples with R Shiny: 00:34:00 •Machine Learning Part 1: 00:22:00 •Machine Learning Part 2: 00:47:00 •Starting a Data Science Career Section Overview: 00:03:00 •Data Science Resume: 00:04:00 •Getting Started with Freelancing: 00:05:00 •Top Freelance Websites: 00:05:00 •Personal Branding: 00:05:00 •Importance of Website and Blo: 00:04:00 •Networking Do's and Don'ts: 00:04:00

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 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 This comprehensive course on Develop Big Data Pipelines with R & Sparklyr & Tableau will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Develop Big Data Pipelines with R & Sparklyr & Tableau 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 Develop Big Data Pipelines with R & Sparklyr & Tableau. It is available to all students, of all academic backgrounds. Requirements Our Develop Big Data Pipelines with R & Sparklyr & Tableau 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 6 sections • 20 lectures • 02:59:00 total length •Introduction: 00:12:00 •R Installation: 00:05:00 •Installing Apache Spark: 00:12:00 •Installing Java (Optional): 00:05:00 •Testing Apache Spark Installation: 00:03:00 •Installing Sparklyr: 00:07:00 •Data Extraction: 00:06:00 •Data Transformation: 00:18:00 •Data Exporting: 00:07:00 •Data Pre-processing: 00:18:00 •Building the Predictive Model: 00:10:00 •Creating the Prediction Dataset: 00:10:00 •Installing Tableau: 00:02:00 •Loading the Data Sources: 00:05:00 •Creating a Geo Map: 00:12:00 •Creating a Bar Chart: 00:08:00 •Creating a Donut Chart: 00:15:00 •Creating the Magnitude Chart: 00:09:00 •Creating the Dashboard: 00:15:00 •Source Code: 00:00:00

Overview This comprehensive course on Functional Skills IT will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Functional Skills IT 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 Functional Skills IT. It is available to all students, of all academic backgrounds. Requirements Our Functional Skills IT 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 • 64 lectures • 04:55:00 total length •Introduction to IT Fundamentals: 00:03:00 •The Case for Computer Literacy: 00:03:00 •Features Common to Every Computing Device: 00:02:00 •Common General-Purpose Computing Devices: 00:02:00 •Networks of Computing Devices: 00:04:00 •Remotely-Accessed Computer Systems: 00:04:00 •Specialized Computer Systems: 00:02:00 •Specialty I/O Devices: 00:01:00 •CPUs: 00:03:00 •Passive and Active Cooling: 00:03:00 •RAM and Active Memory: 00:05:00 •Motherboards: 00:03:00 •Power Supplies: 00:03:00 •AMA - Ask Me Anything about System Hardware: 00:07:00 •Ports and Connectors: 00:03:00 •General Use I/O Devices: 00:02:00 •AMA - Ask Me Anything about I/O, Ports and Peripherals: 00:07:00 •Basics of Binary: 00:04:00 •Storage Technologies: 00:04:00 •Mass Storage Variation: 00:03:00 •AMA - Ask Me Anything about Data Storage and Sharing: 00:07:00 •Operating System Functions: 00:04:00 •Operating System Interfaces: 00:05:00 •AMA - Ask Me Anything about Understanding OS's: 00:05:00 •Preparing the Work Area: 00:02:00 •Setting up a Desktop PC: 00:01:00 •Completing PC Setup: 00:04:00 •AMA - Ask Me Anything about Setting up and Configuring a PC: 00:09:00 •Personalizing a Tablet: 00:08:00 •AMA - Ask Me Anything about Mobile Devices Part 1: 00:07:00 •AMA - Ask Me Anything about Mobile Devices Part 2: 00:07:00 •File Management Tools: 00:02:00 •File Manipulation: 00:06:00 •Backups: 00:03:00 •AMA - Ask Me Anything about Managing Files: 00:08:00 •Walking Survey of Applications: 00:03:00 •Managing Applications: 00:03:00 •Applications and Extensions: 00:04:00 •AMA - Ask Me Anything about Working with Applications: 00:07:00 •Wi-Fi Setup: 00:06:00 •Going High Speed: 00:03:00 •Setting Up and Sharing Printers: 00:05:00 •AMA - Ask Me Anything about Networks and Internet Connectivity Part 1: 00:07:00 •AMA - Ask Me Anything about Networks and Internet Connectivity Part 2: 00:05:00 •Physical Security: 00:05:00 •Dealing with Malware: 00:03:00 •Password Management: 00:03:00 •Clickworthy: 00:03:00 •Perils of Public Internet: 00:02:00 •AMA - Ask Me Anything about IT Threat Mitigation Part 1: 00:07:00 •AMA - Ask Me Anything about IT Threat Mitigation Part 2: 00:08:00 •Power Management: 00:02:00 •Cleaning and Maintaining Computers: 00:02:00 •Trash it or Stash it?: 00:02:00 •AMA - Ask Me Anything about Computer Maintenance and Management: 00:11:00 •Troubleshooting 101: 00:03:00 •AMA - Ask Me Anything about Troubleshooting Computers Part 1: 00:10:00 •AMA - Ask Me Anything about Troubleshooting Computers Part 2: 00:11:00 •Introduction to Databases: 00:06:00 •Database Details: 00:06:00 •AMA - Ask Me Anything about Databases: 00:06:00 •Introduction to Programming: 00:04:00 •Programming with a PBJ Sandwich: 00:08:00 •AMA - Ask Me Anything about Programming: 00:04:00

Employability: Employability Skills Course Do you really want to succeed in the workplace? Learners will gain and enhance job skills, confidence, and communication abilities with the aid of this Level 2 Certificate in Employability Skills course. This Level 2 Certificate in Employability Skills course helps to understand the mindset, target and time management that can improve employability. Also, the Level 2 Certificate in Employability Skills teaches how to deal with your first days at work. Moreover, this Level 2 Certificate in Employability Skills course explains how to present yourself, motivation, solve problems and creative thinking. The Level 2 Certificate in Employability Skills also describes dealing with critical situations and teamwork. After completing the Level 2 Certificate in Employability Skills course, you can gain a solid understanding of health, safety and security in the place of work. Enrol the Level 2 Certificate in Employability Skills course today and start learning! Learning Outcomes of Level 2 Certificate in Employability Skills After completing this Level 2 Certificate in Employability Skills course, you will be able to: Understand a Mindset that can improve employability. Know how to deal with your first days at work through this Level 2 Certificate in Employability Skills. The Level 2 Certificate in Employability Skills helps to recognise the key motivators and de-motivators that impact work situations. From the Level 2 Certificate in Employability Skills course, you can understand how to set your targets, manage time and present yourself. Solving problems and recognising creative thinking is a part of this Level 2 Certificate in Employability Skills course. Also, the Level 2 Certificate in Employability Skills course explains how to work in a team and deal with conflict. Gain a solid understanding of health, safety and security in the place of work with the help of this Level 2 Certificate in Employability Skills course. Special Offers of this Employability: Employability Skills Course Course This Employability: Employability Skills Course includes a FREE PDF Certificate Lifetime access to this Employability: Employability Skills Course Instant access to this Employability: Employability Skills Course Get FREE Tutor Support to this Employability: Employability Skills Course Employability: Employability Skills Course Elevate your career prospects with our Level 2 Certificate in Employability Skills course. This essential program focuses on cultivating the right mindset, target setting, and time management techniques to enhance your employability. Learn how to navigate your first days at work and present yourself effectively. The Level 2 Certificate in Employability Skills also covers motivation, problem-solving, and creative thinking, ensuring you stand out in any role. Gain insights into handling critical situations and the importance of teamwork. By completing the Level 2 Certificate in Employability Skills course, you'll acquire a solid understanding of health, safety, and security in the workplace, preparing you for success. Who is this course for? Employability: Employability Skills Course This Level 2 Certificate in Employability Skills course is suitable for people looking for employment or a change in employment. Requirements Employability: Employability Skills Course To enrol in this Employability: Employability Skills Course, students must fulfil the following requirements: Good Command over English language is mandatory to enrol in our Employability: Employability Skills Course. Be energetic and self-motivated to complete our Employability: Employability Skills Course. Basic computer Skill is required to complete our Employability: Employability Skills Course. If you want to enrol in our Employability: Employability Skills Course, you must be at least 15 years old. Career path Employability: Employability Skills Course After completing this Level 2 Certificate in Employability Skills course, you will be able to gain the essential knowledge and skills to advance your career in the relevant employment sector.

Start your data science journey with this carefully constructed comprehensive course and get hands-on experience with Python for data science. Gain in-depth knowledge about core Python and essential mathematical concepts in linear algebra, probability, and statistics. Complete data science training with 13+ hours of content.

In this competitive job market, you need to have some specific skills and knowledge to start your career and establish your position. This Functional Fitness course will help you understand the current demands, trends and skills in the sector. The course will provide you with the essential skills you need to boost your career growth in no time. The Functional Fitness course will give you clear insight and understanding about your roles and responsibilities, job perspective and future opportunities in this field. You will be familiarised with various actionable techniques, career mindset, regulations and how to work efficiently. This course is designed to provide an introduction to Functional Fitness and offers an excellent way to gain the vital skills and confidence to work toward a successful career. It also provides access to proven educational knowledge about the subject and will support those wanting to attain personal goals in this area. Learning Objectives Learn the fundamental skills you require to be an expert Explore different techniques used by professionals Find out the relevant job skills & knowledge to excel in this profession Get a clear understanding of the job market and current demand Update your skills and fill any knowledge gap to compete in the relevant industry CPD accreditation for proof of acquired skills and knowledge Who is this Course for? Whether you are a beginner or an existing practitioner, our CPD accredited Functional Fitness course is perfect for you to gain extensive knowledge about different aspects of the relevant industry to hone your skill further. It is also great for working professionals who have acquired practical experience but require theoretical knowledge with a credential to support their skill, as we offer CPD accredited certification to boost up your resume and promotion prospects. Entry Requirement Anyone interested in learning more about this subject should take this Functional Fitness 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 The Functional Fitness will help you to enhance your knowledge and skill in this sector. After accomplishing this course, you will enrich and improve yourself and brighten up your career in the relevant job market. Course Curriculum Section 01: First Concepts & Benefits Introduction 00:01:00 What is Functional Fitness? 00:08:00 Benefits of Functional Fitness 00:08:00 Section 02: Understanding & Beating Anxiety Functional Fitness and Others Exercises 00:08:00 Common Mistakes with Functional Fitness 00:07:00 Functional Fitness and Power 00:08:00 Section 03: Strength, ROM, Balance & Endurance Functional Fitness and Strength 00:07:00 Functional Fitness And Range of Motion 00:06:00 Functional Fitness and Balance and Endurance 00:07:00 Section 04: Final Thoughts & Tips Conclusion 00:01:00 Certificate and Transcript Order Your Certificates or Transcripts 00:00:00

Course Overview Learn all the essential skills to become an expert in Functional IT. From this comprehensive Functional Skills - IT course, you will be able to understand the principles of Functional IT. In the step-by-step training process, you will acquire practical skills along with theoretical knowledge. The Qualified professionals will assist you throughout this learning process. This Functional Skills - IT is structured to ensure you have all the adequate skills to secure a position in this competitive industry. You will achieve the confidence and competency to bear all the responsibilities of this profession. The course will add all the right credentials to your resume and increase your employability in this growing industry. Learning Outcomes Get a deep understanding of the fundamentals of Information Technology (IT) Master all the IT Components Understand how operating systems work Master software building tools and languages Learn how information flows within IT and how Storage Companies and Technologies work Who is this course for? Anyone who is now employed in this field or who aspires to be one should take this course. Your knowledge will grow through taking this course, which will also strengthen your resume. To demonstrate your newly gained knowledge, develop crucial abilities and receive a professional credential. Entry Requirement This course is available to all learners, of all academic backgrounds. Learners should be aged 16 or over to undertake the qualification. Good understanding of English language, numeracy and ICT are required to attend this course. Certification After you have successfully completed the course, you will be able to obtain an Accredited Certificate of Achievement. You can however also obtain a Course Completion Certificate following the course completion without sitting for the test. Certificates can be obtained either in hardcopy at the cost of £39 or in PDF format at the cost of £24. PDF certificate's turnaround time is 24 hours, and for the hardcopy certificate, it is 3-9 working days. Why choose us? Affordable, engaging & high-quality e-learning study materials; Tutorial videos/materials from the industry-leading experts; Study in a user-friendly, advanced online learning platform; Efficient exam systems for the assessment and instant result; The UK & internationally recognized accredited qualification; Access to course content on mobile, tablet or desktop from anywhere anytime; The benefit of career advancement opportunities; 24/7 student support via email. Career Path The Functional Skills - IT course is intended to assist you in obtaining the dream job or maybe the promotion you've always desired. With the assistance and direction of our Functional Skills - IT course, learn the vital abilities and knowledge you require to succeed in your life. Section 01: Introduction Unit 01: Introduction 00:01:00 Unit 02: Course Outline 00:06:00 Section 02: Information Technology Unit 01: Facts about Information Technology (IT) 00:05:00 Unit 02: What is Information Technology & How IT Works 00:02:00 Section 03: Components of IT Unit 01: IT Components 00:02:00 Section 04: Hardware Unit 01: What is Hardware 00:02:00 Unit 02: Examples of Computer 00:02:00 Unit 03: Computer Hardware Manufacturers 00:04:00 Unit 04: Hardware Jobs 00:05:00 Section 05: Operating System Unit 01: What is Operating System 00:02:00 Unit 02: Examples of Operating System 00:08:00 Unit 03: Operating System Jobs 00:10:00 Unit 04: OS Tools Related Jobs 00:02:00 Section 06: Application/Software Unit 01: What is Application/Software 00:03:00 Unit 02: Software Building Tools and Languages 00:03:00 Unit 03: Software/Application Building Jobs 00:03:00 Unit 04: Software/Application User Jobs 00:03:00 Section 07: Networking Unit 01: What is Computer Networking 00:02:00 Unit 02: Computer Network Companies 00:02:00 Unit 03: Network Jobs 00:04:00 Section 08: Security Unit 01: What is Computer Security 00:02:00 Unit 02: Security Companies 00:01:00 Unit 03: Security Jobs 00:03:00 Section 09: Traffic Flow & Enterprise Level IT Components Unit 01: How Information Flow within IT 00:02:00 Unit 02: Enterprise Level IT Components 00:02:00 Section 10: Storage Unit 01: What is Storage 00:05:00 Unit 02: Storage Companies and Technologies 00:02:00 Unit 03: Jobs in Storage 00:02:00 Section 11: Database Unit 01: What is Database 00:02:00 Unit 02: Database Type and Technologies 00:04:00 Unit 03: Database Jobs 00:02:00 Section 12: Virtualisation & Cloud Unit 01: What is Virtualisation 00:03:00 Unit 02: What is Cloud Technology 00:02:00 Unit 03: Virtualisation and Cloud Companies 00:02:00 Unit 04: Virtualisation and Cloud Jobs 00:02:00 Section 13: Management & Other IT Jobs Unit 01: IT Management Jobs 00:03:00 Unit 02: Other IT Jobs 00:09:00 Order Your Certificates and Transcripts Order Your Certificates and Transcripts 00:00:00

Unlock the power of data with our "Creating Compelling Data Visualisations" course. From mastering the fundamentals of data analytics and statistics to leveraging cutting-edge tools and techniques, each module is designed to transform raw information into impactful visual stories. Gain the skills to captivate your audience and drive data-driven decisions with clarity and precision. Enrol now and become a master of data visualisation! Learning Outcomes: Acquire a comprehensive understanding of data analytics and its role in decision-making. Develop proficiency in using statistical techniques to analyse and interpret data accurately. Master the process of gathering and organising data efficiently for optimal analysis. Utilise Excel as a powerful tool for data manipulation and analysis. Explore various tools and technologies employed in data analytics. Cultivate a data-analytic mindset to identify actionable insights from complex data sets. Create visually compelling data visualisations that effectively communicate insights and facilitate data-driven decision-making. In today's data-driven world, the ability to transform raw information into meaningful insights is a crucial skill for professionals across industries. Introducing our comprehensive course on "Creating Compelling Data Visualisations," designed to equip you with the knowledge and techniques to excel in the realm of data analytics. Through a series of immersive modules, you'll delve into the fascinating world of data, exploring its intricacies, gathering the right information, and storing it efficiently. Dive deep into statistical analysis, mastering the art of drawing insights from complex datasets with precision and accuracy. Discover the power of Excel as a robust tool for data manipulation and analysis. Unleash your creativity as you learn to transform raw data into captivating visual stories. Explore a range of data visualisation tools and techniques, uncovering the best practices to effectively communicate insights to diverse audiences. Develop a data-analytic mindset, sharpening your ability to identify actionable insights and make data-driven decisions that propel your organisation forward. Certification Upon completion of the course, learners can obtain a certificate as proof of their achievement. You can receive a £4.99 PDF Certificate sent via email, a £9.99 Printed Hardcopy Certificate for delivery in the UK, or a £19.99 Printed Hardcopy Certificate for international delivery. Each option depends on individual preferences and locations. CPD 15 CPD hours / points Accredited by CPD Quality Standards Who is this course for? This course is particularly useful for: Professionals seeking to enhance their data analysis skills. Aspiring data analysts and researchers. Managers and decision-makers who need to interpret and communicate data effectively. Students and graduates looking to boost their employability in the data-driven job market. Career path Data Analyst: £25,000 - £50,000 per year Business Intelligence Analyst: £30,000 - £60,000 per year Data Visualization Specialist: £35,000 - £70,000 per year Data Scientist: £40,000 - £80,000 per year Market Research Analyst: £25,000 - £45,000 per year Financial Analyst: £30,000 - £60,000 per year Note: Salary ranges can vary based on factors such as experience, qualification, and industry.