8962 Courses delivered Online

Overview This comprehensive course on Microsoft Excel: Excel Sheet Comparison with VBA will deepen your understanding on this topic.After successful completion of this course you can acquire the required skills in this sector. This Microsoft Excel: Excel Sheet Comparison with VBA 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 Microsoft Excel: Excel Sheet Comparison with VBA. It is available to all students, of all academic backgrounds. Requirements Our Microsoft Excel: Excel Sheet Comparison with VBA 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 6 sections • 23 lectures • 02:10:00 total length •Introduction to Compare Data Workbook: 00:06:00 •Download Resources: 00:00:00 •Key requirements for Comparing any Datasets or Worksheets: 00:03:00 •Tool to Compare Datasets or Worksheets: 00:06:00 •Overview of Compare Data Workbook: 00:09:00 •Most Important things to remember before you use compare data workbook: 00:03:00 •IMPORTANT - First Column as KEY Column with UNIQUE Values: 00:09:00 •Deep Dive into Compare Data Workbook's Environment: 00:10:00 •How to Change Header Rows for your data: 00:06:00 •Basics of Using macro enabled Excel files and Code Modules: 00:04:00 •Changing the Main two sheets name, variance tags in VBA Code: 00:05:00 •Changing various elements across VBA Code modules: 00:05:00 •Clear Sheet data button VBA Code: 00:04:00 •Convert Row data into Structured, clean and formatted data with Power Query 1: 00:07:00 •Convert Row data into Structured, clean and formatted data with Power Query 2: 00:07:00 •Mutual Funds Portfolio - Finding Variances at two different times: 00:07:00 •Comprehensive Payroll Analysis - Creating Powerful Dashboard 1: 00:05:00 •Comprehensive Payroll Analysis - Creating Powerful Dashboard 2: 00:07:00 •Comprehensive Payroll Analysis - Creating Powerful Dashboard 3: 00:08:00 •Comprehensive Payroll Analysis - Creating Powerful Dashboard 4: 00:07:00 •Comprehensive Payroll Analysis - Creating Powerful Dashboard 5: 00:08:00 •IMPORTANT Facts and Limitation of Compare Data Workbook: 00:03:00 •Conclusion: 00:01:00

Course Overview: According to a report by the World Economic Forum, data analysts and scientists are among the top emerging job roles. The "Data Analytics with Tableau" course is tailored to equip learners with the vital skills required to excel in this dynamic field. The course delves into the intricacies of data visualisation and analysis using Tableau, a leading software in the industry. It's not merely about understanding data but transforming it into actionable insights that drive business decisions. The course is structured to provide a comprehensive understanding of various aspects of data analytics, including sales, HR, and shipping analytics.Don't miss this opportunity to advance your career with cutting-edge skills in data analytics. Enrol in "Data Analytics with Tableau" now and embark on a journey of professional growth and endless possibilities! Key Features of the Course: CPD Certificate: Upon completion, you will receive a prestigious Continuing Professional Development (CPD) certificate, recognised globally for enhancing your career prospects. 24/7 Learning Assistance: Our dedicated support team ensures you receive prompt assistance, providing a seamless learning experience. Who is This Course For? This course is tailored for individuals who aspire to become data analysts, business intelligence professionals, marketing strategists, or decision-makers seeking to leverage data effectively. No experience with Tableau or coding is required, making it accessible and engaging for beginners. What You Will Learn: Data Analytics with Tableau, This course covers a wide range of topics, starting with connecting and preparing data, where you will learn how to import, clean, and transform data to make it analysis-ready within Tableau. Next, you will master the art of building insightful charts and visualisations using Tableau's rich set of tools, enabling you to communicate data trends and insights effectively. Additionally, you will explore the creation of captivating headline cards and interactive dashboards, gaining expertise in presenting key information and facilitating data exploration. Real-world projects, including Discount Mart, Green Destinations, Super Store, Northwind Trade, and Tesla, will provide you with outstanding experience in applying Tableau to solve practical data challenges. Lastly, you will develop a solid understanding of database concepts and learn to create compelling data stories using Tableau's storytelling features. By the end of this course, you will have the skills and confidence to make data-driven decisions and communicate insights effectively using Tableau. Why Enrol in This Course: Join the recently updated top-reviewed Data Analytics course with Tableau to keep you at the forefront of the field. Expand your analytical skills, unlock career opportunities, and stay current in the rapidly evolving world of data analytics by mastering Tableau, the industry-standard tool for visual analytics. Requirements: No prior experience with Tableau or coding is required. All you need is a computer with internet access, a curious mind, and a passion for exploring the world of data analytics. Career Path: By acquiring data analytics skills with Tableau, you open doors to exciting career paths, such as: Data Analyst (Average Salary: £35,000 - £45,000) Business Intelligence Analyst (Average Salary: £40,000 - £55,000) Marketing Analyst (Average Salary: £30,000 - £40,000) Financial Analyst (Average Salary: £35,000 - £50,000) Data Visualization Specialist (Average Salary: £40,000 - £60,000) Database Administrator (Average Salary: £40,000 - £55,000) Data Scientist (Average Salary: £45,000 - £70,000) Certification: Upon successful completion of the course, you will receive a CPD certificate, internationally recognised for its validation of your expertise in data analytics with Tableau. Enrol now and embark on a transformative journey to become a proficient data analyst and visualisation expert with Tableau! Course Curriculum 9 sections • 41 lectures • 06:47:00 total length •Introduction to the Course: 00:02:00 •What is Tableau? An Introduction to Tableau: 00:03:00 •How this course is Structured: 00:01:00 •Installing the Free Full Version of Tableau: 00:02:00 •Project Brief for Discount Mart: 00:03:00 •Connecting and Preparing Data for Discount Mart: 00:15:00 •Building Charts on Tableau for Discount Mart (Part 1): 00:33:00 •Building Charts on Tableau for Discount Mart (Part 2): 00:16:00 •Creating Headline Cards on Tableau for Discount Mart: 00:10:00 •Building and Publishing Dashboards on Tableau: 00:15:00 •Project Brief for Green Destinations: 00:02:00 •Connecting and Preparing Data for Green Destinations: 00:09:00 •Building Charts on Tableau (Part 1) for Green Destinations: 00:28:00 •Building Charts on Tableau (Part 2) for Green Destinations: 00:08:00 •Creating Headline Cards on Tableau: 00:15:00 •Building a Dashboard for Green Destinations: 00:12:00 •Publish your Dashboard to Tableau Public: 00:02:00 •Project Brief for Super Store: 00:02:00 •Connecting and Preparing Data for Super Store: 00:17:00 •Building Charts on Tableau (Part 1) for Super Store: 00:34:00 •Building Charts on Tableau (Part 2) for Super Store: 00:23:00 •Building a Dashboard: 00:18:00 •Publish your Dashboard to Tableau Public: 00:03:00 •Project Brief for Northwind Trade: 00:03:00 •Connecting and Preparing Data for Northwind Trade: 00:14:00 •Building Charts on Tableau for Northwind Trade: 00:37:00 •Building and Publishing Dashboards for Northwind Trade: 00:10:00 •Project Brief for Tesla: 00:02:00 •Creating a Data Source through Google Sheet Functions: 00:05:00 •Connect to the Data for Tesla: 00:04:00 •Building Charts on Tableau for Tesla: 00:22:00 •Building Headline Cards: 00:09:00 •Building a Tesla Dashboard: 00:08:00 •Publish your Dashboard to Tableau Public: 00:03:00 •Introduction to Database Concepts: 00:01:00 •Understanding Relational Databases: 00:04:00 •Relationships of Database Entities: 00:02:00 •Primary and Foreign Keys: 00:01:00 •Data types and Naming Conventions: 00:04:00 •Creating Stories on Tableau: 00:05:00 •Resources - Data Analytics with Tableau: 00:00:00

Overview Having a foundational understanding of IT components is essential. Did you know that by 2023, an estimated 2.5 million new IT positions will be available globally? The CompTIA A+ (220-1001) course offers a comprehensive dive into the world of computer technology.  Designed to shape the professionals of tomorrow, this course meticulously covers the gamut of fundamental IT knowledge. Ranging from RAM technology to the vast world of cloud computing, the curriculum is structured to foster a comprehensive understanding. With modules such as 'Inside the PC' and 'Understanding Virtualization', learners will be adept at navigating the complex terrains of the modern IT environment. Ready to steer your career into the future of IT? Enrol now and become a part of the technological revolution! 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 CompTIA A+ (220-1001). It is available to all students, of all academic backgrounds. Requirements Our CompTIA A+ (220-1001) 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 24 sections • 132 lectures • 17:30:00 total length •CompTIA A+ 2019 Core 1 (220-1001) Course Introduction: 00:02:00 •What is the CompTIA A+?: 00:02:00 •Why Get A+ Certified?: 00:03:00 •What is on the CompTIA A+ Core 1 (220-1001) Exam?: 00:09:00 •How to Pass the A+ Exam: 00:04:00 •How to Use This Video Course: 00:03:00 •Tools of the Trade: 00:06:00 •Troubleshooting Theory: 00:10:00 •Primary PC Connections: 00:05:00 •External Connections: 00:11:00 •Inside the PC: 00:08:00 •What is a Computer?: 00:07:00 •What is a CPU?: 00:15:00 •CPU Speeds and Cores: 00:12:00 •Caching: 00:07:00 •CPU Sockets: 00:12:00 •Installing a CPU: 00:11:00 •Liquid Cooling: 00:04:00 •RAM Technology: 00:11:00 •RAM Capacity: 00:08:00 •RAM Features: 00:07:00 •Installing RAM: 00:07:00 •What is the BIOS?: 00:06:00 •POST: 00:09:00 •System Setup: 00:09:00 •Troubleshooting Firmware: 00:12:00 •Form Factors: 00:06:00 •Chipsets: 00:05:00 •Touring the Motherboard: 00:14:00 •Touring the Case: 00:07:00 •Installing a Motherboard: 00:09:00 •The Power Supply: 00:09:00 •Mounting a Power Supply: 00:05:00 •Choosing a Power Supply: 00:08:00 •Cooling Your PC: 00:11:00 •Troubleshooting Power Supplies: 00:09:00 •Troubleshooting Core Components: 00:14:00 •Introduction to Mass Storage: 00:13:00 •Magnetic Disk Drives: 00:08:00 •Solid State Drives: 00:08:00 •SCSI: 00:03:00 •Boot Order: 00:07:00 •New Installation - First Drive: 00:05:00 •RAID: 00:11:00 •Hardware RAID: 00:07:00 •Mass Storage Troubleshooting: 00:08:00 •Optical Media: 00:10:00 •USB Standards: 00:10:00 •Understanding USB: 00:11:00 •Configuring USB: 00:07:00 •Thunder and Lightning: 00:06:00 •Keyboards and Mice: 00:08:00 •Sight and Sound: 00:07:00 •Readers and Scanners: 00:08:00 •Using Expansion Cards: 00:08:00 •The Right PC for the Job: 00:13:00 •Monitor Technologies: 00:08:00 •LCD Breakdown: 00:04:00 •Graphics Cards and Connections: 00:13:00 •Installing a Graphics Card: 00:07:00 •Projectors: 00:05:00 •Troubleshooting Monitors: 00:06:00 •Introduction to Networking: 00:08:00 •Hubs vs. Switches: 00:05:00 •Hexadecimal: 00:07:00 •WANs and Routers: 00:09:00 •Cables and Connectors: 00:11:00 •Crimping Cables: 00:10:00 •Structured Cabling: 00:11:00 •Introduction to TCP/IP: 00:14:00 •Network IDs and Subnet Masks: 00:05:00 •Special IP Addresses: 00:09:00 •NAT: 00:07:00 •Dynamic IP Addressing: 00:10:00 •IPv6: 00:07:00 •Port Numbers: 00:12:00 •TCP, UDP, and ICMP: 00:06:00 •Understanding DNS: 00:09:00 •Working with DNS: 00:07:00 •Windows Naming: 00:08:00 •Routers: 00:12:00 •Basic Router Configuration: 00:12:00 •Advanced Router Configuration: 00:06:00 •VLANs: 00:07:00 •Network Troubleshooting: 00:05:00 •Wireless Network Hardware: 00:11:00 •Wi-Fi Standards: 00:10:00 •Basic WAP Setup: 00:11:00 •Connecting to a Wi-Fi Network: 00:09:00 •It's a Huge Mesh: 00:04:00 •Beyond Wi-Fi: 00:07:00 •Troubleshooting Wireless Connections: 00:07:00 •Beyond the LAN: 00:03:00 •Internet Tiers: 00:06:00 •Dial-up Connections: 00:08:00 •Broadband Connections: 00:10:00 •Firewalls and Servers: 00:06:00 •FTP: 00:07:00 •E-Mail: 00:08:00 •Proxy Servers: 00:06:00 •Virtual Private Networks (VPNs): 00:08:00 •Internet of Things (IoT): 00:04:00 •Understanding Virtualization: 00:10:00 •Your First Virtual Machine: 00:11:00 •Advanced Virtualization Setup: 00:10:00 •Cloud Computing: 00:08:00 •Cloud Ownership: 00:03:00 •Cloud-Based Applications: 00:06:00 •Laptop Features: 00:08:00 •Laptop Hardware Troubleshooting - The Tools: 00:05:00 •Laptop Hardware - Core Hardware: 00:04:00 •Laptop Hardware - CPU and Motherboard: 00:07:00 •Touring Your Laptop Display: 00:04:00 •What is a Mobile Device?: 00:09:00 •Mobile Connections: 00:10:00 •Touring Android: 00:10:00 •Touring iOS: 00:08:00 •Virtual Reality: 00:03:00 •Maintaining Mobile Devices: 00:11:00 •Mobile Devices and E-mail: 00:10:00 •Mobile Synchronization: 00:08:00 •Laser Printers: 00:13:00 •Inkjet Printers: 00:08:00 •Impact Printers: 00:04:00 •Thermal Printers: 00:04:00 •Installing a Local Printer: 00:14:00 •Sharing Printers: 00:08:00 •Installing Wireless and Cloud Printers: 00:10:00 •Troubleshooting Printers: 00:10:00 •3D Printing: 00:07:00 •Dealing with Threats: 00:07:00 •Assignment - CompTIA A+ (220-1001): 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

Anti-Money Laundering (AML): This comprehensive Anti-Money Laundering (AML) course is designed for individuals interested in safeguarding organizations against financial crime. Through up-to-date knowledge and practical guidance, you will be trained in the essential skills required to identify and prevent suspicious activities within any organization. With step-by-step instructions on conducting client risk assessments, this course equips you with a strong foundation in AML procedures.

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

QLS Endorsed + CPD QS Accredited - Dual Certification | Instant Access | 24/7 Tutor Support

Are you ready for a total wipe-out of your organization to make way for the growth that comes along with a digital transition? Were you aware that was what a digital transition is? This type of pivot is a huge step for a company and has a lot more to consider than some people think. Do you know what the first step is? You might be surprised. A digital transformation is a catalyst for an organization's growth and future sustainability. Because of its impact on the identity of your organization, it is important to understand that steps to get there. This microlearning video serves as a great starting point. This video is great for anyone involved in strategic planning at your organization. Length: 5:06 Learning Objectives Construct a compelling vision for digital transformation within your organization, illuminating the reasons behind the transition and its role in shaping the future of the company.;Develop a comprehensive digital transformation strategy that assesses current performance, outlines future goals, and identifies how digital technology will facilitate goal achievement, using a well-structured roadmap as a guiding framework.;Cultivate effective change management and communication skills to ensure that all stakeholders, including employees and customers, are engaged, informed, and prepared for the organizational shifts that accompany a digital transformation.

Take your driving skills to the next level with the Driving Instructor Course. This course is built for aspiring driving instructors who wish to provide quality service to their customers. In this course, you will learn the essentials of driving and understand the strategies to provide effective instructions. The  Driving Instructor Course will teach you the roles and responsibilities of a driving instructor. From this resourceful course, you will understand the essentials of structured driving training. The modules will educate you on the process of ADI exams. In addition, you will learn valuable tips and tricks for driving smoothly. The course will also train you how to drive large vehicles.  Through this Driving Instructor Course, you will understand the strategies to deal with new customers. It will improve your communication skills and help you establish a flourishing career. Enrol today, and fast track your career. Learning Objectives Understand the role and responsibilities of a driving instructor Enrich your knowledge of structured driving training Learn the process of ADI exams Acquire the skills to become an excellent driver Know how to deal with new customers Improve your communication skills Develop the expertise to drive large vehicles Who is this Course for? Whether you are a beginner or an existing practitioner, our CPD accredited Driving Instructor 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 This course is available to all learners of all academic backgrounds. A good understanding of the English language, numeracy and ICT are required to attend this course. 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 On successful completion of the Driving Instructor 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: Driving Instructor Truck Driving Instructor Driver Course Curriculum Module 01: The Driving Instructor The Driving Instructor 00:20:00 Module 02: Structured Driver Training Structured Driver Training 00:29:00 Module 03: The ADI Exams The ADI Exams 00:37:00 Module 04: Communication Skills and Dealing with a New Client Communication Skills and Dealing with a New Client 00:26:00 Module 05: Learning to Drive Learning to Drive 00:35:00 Module 06: Driving Large Vehicles Driving Large Vehicles 00:35:00 Module 07: Assessment Items Assessment Items 00:28:00 Module 08: Disabilities and Impairments Disabilities and Impairments 00:34:00 Certificate and Transcript Order Your Certificates or Transcripts 00:00:00

Dive into the criminal mind! Learn Forensic Psychology, understand criminal behaviour, aid investigations. Ignite your career in criminology, start now!