58791 Courses

Overview This comprehensive course on Ecommerce Management will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Ecommerce Management 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 Ecommerce Management. It is available to all students, of all academic backgrounds. Requirements Our Ecommerce Management 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 1 sections • 10 lectures • 03:29:00 total length •Introduction to Electronic Commerce: 00:18:00 •E-Commerce Strategy and Implementation: 00:21:00 •Customer Service: 00:21:00 •Products, Brands, and Services: 00:30:00 •Content Planning and Production: 00:18:00 •Use of Social Networks: 00:19:00 •Marketing _ Advertising: 00:35:00 •Creating an Engaging User Experience: 00:14:00 •Transaction Management: 00:20:00 •E-Commerce Analytics: 00:13:00

Overview This comprehensive course on Document Control and EDMS Implementation Step will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Document Control and EDMS Implementation Step 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 Document Control and EDMS Implementation Step. It is available to all students, of all academic backgrounds. Requirements Our Document Control and EDMS Implementation Step 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 2 sections • 7 lectures • 00:56:00 total length •Module 01: Introduction: 00:05:00 •Module 02: Role and Important of Document Controller: 00:13:00 •Module 03: Document and Record management: 00:06:00 •Module 04: Document Management Best Practices: 00:04:00 •Module 05: Record Management Best Practices: 00:04:00 •Module 06: Introduction to EDMS (Enterprise Document Management System): 00:24:00 •Assignment - Document Control and EDMS Implementation Step: 3 days

Overview Gain the skills and abilities to attain a long and satisfying career in business by studying the principles of Accounting and Bookkeeping.This Diploma in Accounting and Bookkeeping course will quickly and efficiently provide the tutoring you need to excel in organising the financial management of a company.Written with the aid of industry experts, the course will train you to keep a business payroll operating, track supplies and inventory, handle budgets and cash, pay taxes, and report to all of your stakeholders. There is no more complete way to obtain this certificated amount of training and learn how to master a dynamic career path. How will I get my certificate? Upon successful completion of the Diploma in Accounting and Bookkeeping course, obtaining your certificate is a straightforward process. Here's how it works: Course Completion: Once you've successfully finished the course, you'll be eligible to receive your certificate. Order Your Certificate: You can conveniently order your certificate directly through our platform. Who is this course for? Diploma in Accounting and Bookkeeping is specially designed for a variety of learners. Open to all: No prior experience or certifications are required. Inclusive Learning: Welcoming students from various academic backgrounds. Universal Accessibility: Open to everyone interested in studying a Diploma in Accounting and Bookkeeping. Requirements Our Diploma in Accounting and Bookkeeping course is designed for maximum flexibility and accessibility. It is optimised for use on PCs, Macs, laptops, tablets, and smartphones. Study easily on your tablet or smartphone, accessible with any Wi-Fi connection. No time limit for completion; study at your own pace and on your own schedule. Basic English proficiency is required to ensure effective learning. This course structure allows for a convenient and adaptable learning experience. Career path Having these various qualifications will increase the value of your CV and open you up to multiple sectors, such as: Accountant: Steady career, £22k-£35k+. Manage day-to-day finances. Management Accountant: Analyse data, £28k-£40k+. Influence key decisions. Financial Analyst: Assess investments, £25k-£35k+. Fast-paced, dynamic environment. Auditor: Verify records, £28k-£40k+. Ensure financial integrity. Tax Advisor: Minimise tax liabilities, £25k-£35k+. Help clients save money. Remember, ranges vary depending on experience and location. Consider professional certifications for a boost! Course Curriculum 9 sections • 21 lectures • 05:56:00 total length •Introduction: 00:02:00 •Introduction to Bookkeeping: 00:15:00 •Manual System: 00:08:00 •Computerised Systems: 00:11:00 •How it Fits Together: 00:08:00 •Bookkeeping Basics: 00:30:00 •Ledgers: 00:10:00 •Trial Balance and Coding: 00:11:00 •PNL Account and Balance Sheet: 00:05:00 •AILE Personal: 00:06:00 •Course Overview: 00:05:00 •Getting the Facts Straight: 00:30:00 •The Accounting Cycle: 00:30:00 •The Key Reports: 00:30:00 •A Review of Financial Terms: 00:30:00 •Understanding Debits and Credits: 00:15:00 •Your Financial Analysis Toolbox: 00:30:00 •Identifying High and Low Risk Companies: 00:30:00 •The Basics of Budgeting: 00:30:00 •Working Smarter: 00:10:00 •Assignment - Diploma in Accounting and Bookkeeping: 00:10:00

Overview This comprehensive course on Digital Marketing Starting an online E-Commerce Store 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 Starting an online E-Commerce Store 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 Starting an online E-Commerce Store. It is available to all students, of all academic backgrounds. Requirements Our Digital Marketing Starting an online E-Commerce Store 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 9 sections • 39 lectures • 02:31:00 total length •Introduction: 00:06:00 •Types of E-Commerce Stores: 00:04:00 •Business to Business Ecommerce: 00:04:00 •Business to Consumer Ecommerce: 00:05:00 •Ecommerce: 00:04:00 •Consumer to Business Ecommerce: 00:03:00 •B2G (also called B2A) Government / Public Administration: 00:05:00 •Types of E-Commerce Business Models: 00:04:00 •Drop Shipping: 00:04:00 •Wholesaling and Warehousing: 00:04:00 •Private Labeling and Manufacturing: 00:04:00 •White Labeling: 00:03:00 •Subscription: 00:04:00 •What You Can Sell in an E-Commerce Store: 00:03:00 •Identify or Create Products That Solve a Problem: 00:04:00 •Find Products You and Other People are Passionate About: 00:05:00 •Find Products With Branding Potential: 00:04:00 •Hop on Trends Early: 00:04:00 •Find Products that Fulfill Guilty Pleasures: 00:04:00 •Digital Marketing Strategies to Market an E-Commerce Business: 00:04:00 •Boost Product Visualization: 00:03:00 •Add Video: 00:03:00 •Automate with Chatbots: 00:05:00 •Reduce Cart Abandonment: 00:04:00 •Use Retargeting Tactics: 00:03:00 •Tips to Increase E-Commerce Online Sales: 00:04:00 •Reach in-market Shoppers with Google Shopping Ads: 00:03:00 •Remarket to Them with Display Ads: 00:04:00 •Turn Likes into sales with Shopping on Instagram: 00:04:00 •Instill Trust with Customer Reviews: 00:03:00 •Up your Cross-selling Game with Pop-ups: 00:04:00 •Incorporating Affiliate Marketing into Your E-Commerce Business: 00:04:00 •Determine if an Affiliate Program is Right for You: 00:04:00 •Find Publishers to Partner With: 00:05:00 •Review and Approve Publishers: 00:04:00 •Conduct Ongoing Review: 00:04:00 •Win new Customers with Referral Marketing (Affiliate Marketing): 00:04:00 •Review: 00:04:00 •Assignment - Digital Marketing Starting an online E-Commerce Store: 00:00:00

Overview This comprehensive course on Depression Counselling Training will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Depression Counselling Training 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 Depression Counselling Training. It is available to all students, of all academic backgrounds. Requirements Our Depression Counselling Training 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 • 54 lectures • 04:48:00 total length •Depression Counselling Promo: 00:02:00 •About_Course: 00:03:00 •About_Tutor: 00:02:00 •Intro Depression: 00:05:00 •Melancholy_History: 00:07:00 •Signs of Depression: 00:07:00 •Brain_Depression: 00:06:00 •Neurons_Depression: 00:09:00 •Stress_Depression: 00:10:00 •Environment_Health: 00:04:00 •Sleep_Disorders: 00:06:00 •Somatic_Sympotoms: 00:06:00 •Risk_factors: 00:08:00 •Module_1_End_Qs: 00:05:00 •Classification_Methods: 00:07:00 •Cyclymia: 00:06:00 •Creativity_Depression: 00:07:00 •Dysthymia_Atypica: 00:07:00 •Bipolar_Manic: 00:06:00 •Antenatal_Postpaturm_D: 00:09:00 •Bereavement_Grief: 00:09:00 •Dysthymia_Children: 00:04:00 •Elderly: 00:07:00 •Psychosocial_Health_Elderly: 00:03:00 •Module_2_Qs: 00:04:00 •Neurogenesis: 00:04:00 •MOI: 00:04:00 •Serotonin_Syndrome: 00:03:00 •SSRIs: 00:03:00 •Tyramine: 00:03:00 •Medical_Stats: 00:10:00 •Module_3_Qs: 00:03:00 •Lifestyle_Diet_DD: 00:07:00 •St John's Wort: 00:05:00 •Omega_3: 00:04:00 •Tai_Chi_Qigong: 00:04:00 •Yoga: 00:04:00 •Acupuncture: 00:03:00 •Art_Music_Therapy: 00:08:00 •Module_4_Qs: 00:04:00 •Person_Centr_Appr: 00:07:00 •Family_Couples_Therapy: 00:09:00 •Step_Care_Approach: 00:10:00 •Psychodynamic_IPT: 00:06:00 •REBT: 00:06:00 •Hypnotherapy: 00:05:00 •Hypnotherapy_PTSD: 00:05:00 •Gestalt_Therapy: 00:06:00 •Therapeutic_Relationship: 00:07:00 •Knowledge_Qualities: 00:03:00 •Module_5_Qs: 00:03:00 •Thanks_GoodBye!: 00:03:00 •Additional Study Materials: Depression Counselling Training: 00:00:00 •Assignment - Depression Counselling Training: 00:00:00

Overview It doesn't matter in which part of the world you live or what culture you follow; one thing is undoubtedly considered harmful to your present and future. That is Debt. Debt can make your life worse. It is like a vicious circle; a continuing unpleasant situation created when one problem causes another problem that then makes the first problem worse. No one wants to be part of this chain of events. But honestly speaking, the concept of debt is not always harmful. It depends on how you see it and use it. Here comes the role of Debt Management. You should know how to manage debt smartly and efficiently. At Apex Learning, we share the goal of millions of people, which is to make the world better. We have prepared a tool to help deal with debt management: our Debt Management - Online Course. You can access our course anytime, anywhere. Enrol now before falling into a debt trap. What Can You Expect From The Course? Understanding the fundamentals of debt management and its importance. Distinguishing between long-term and short-term debt and their implications. Identifying and assessing your personal debt situation effectively. Developing a realistic debt management plan. Learning strategies for avoiding debt problems. Dealing with bankruptcy and insolvency within legal regulations. 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 Debt Management - Online Course. It is available to all students, of all academic backgrounds. Requirements Our Debt Management - Online 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 1 sections • 14 lectures • 05:08:00 total length •Module 01: Introduction to Debt Management: 00:22:00 •Module 02: Long Term and Short Term Debt: 00:20:00 •Module 03: Identifying Your Debt: 00:27:00 •Module 04: Debt Management Plan: 00:30:00 •Module 05: Debt Assessment: 00:23:00 •Module 06: Debt Financing: 00:18:00 •Module 07: Building Budget: 00:23:00 •Module 08: Debt Counselling: 00:18:00 •Module 09: When Is Debt Good?: 00:19:00 •Module 10: Avoiding Debt Problems: 00:19:00 •Module 11: How to Handle Debt Collectors: 00:16:00 •Module 12: How to Get Out of Debt: 00:18:00 •Module 13: Dealing with Bankruptcy and Insolvency: 00:32:00 •Module 14: Laws and Regulations: 00:23:00

Overview This comprehensive course on Day Trading & Scalping Strategies will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Day Trading & Scalping Strategies 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 Day Trading & Scalping Strategies. It is available to all students, of all academic backgrounds. Requirements Our Day Trading & Scalping Strategies 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 8 sections • 47 lectures • 08:55:00 total length •Introduction to the Course: 00:04:00 •Introduction to Risk Management: 00:02:00 •What is Risk Management?: 00:03:00 •Why Risk Management is So Important: 00:18:00 •Why You Have to Manage Your Risk: 00:18:00 •My Risk Management System: 00:12:00 •You Can't Progress in Something That You Don't Measure: 00:09:00 •Introduction: 00:02:00 •Trading on 2 different timeframes: 00:10:00 •How to add it to your screen: 00:05:00 •The rules that you have to follow: 00:15:00 •Let's practice it: 00:30:00 •Results from the practice: 00:10:00 •Class project: 00:01:00 •Introduction: 00:04:00 •How to put it on your screen: 00:05:00 •The criteria needed: 00:19:00 •Entries, exits and stop losses practice: 00:24:00 •51% profits on the account in 6 weeks on 1 pair: 00:15:00 •Class project: 00:01:00 •Introduction: 00:03:00 •The setup: 00:09:00 •The Criteria: 00:14:00 •Practice: 00:30:00 •22 % profit on account in 30 trades: 00:14:00 •68 % Win Rate: 00:01:00 •Introduction: 00:03:00 •Why you have to be using multiple timeframes: 00:09:00 •Introduction to using Stochastic indicator with an EDGE: 00:08:00 •First strategy - How to set it up on your chart: 00:07:00 •First strategy - Criteria: 00:30:00 •First strategy - Practice: 00:20:00 •Second strategy - Criteria: 00:12:00 •Second strategy - Practice: 00:15:00 •Class project: 00:01:00 •Introduction: 00:03:00 •The first Scalping / Day trading strategy: 00:14:00 •Volatility is key: 00:08:00 •Practice of the First strategy: 00:17:00 •Second scalping / day trading strategy and how to set it up: 00:04:00 •Criteria for the second strategy: 00:04:00 •Backtesting the second strategy: 00:23:00 •Class project: 00:01:00 •How to Know When to Take Profits: 00:35:00 •Hull Moving Average: 00:06:00 •7 Habits Belief of Successful Traders: 00:17:00 •Momentum Play with Multiple Timeframes: 00:20:00

Overview This comprehensive course on Data Visualization and Reporting with Power BI will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Data Visualization and Reporting with Power BI 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 Data Visualization and Reporting with Power BI. It is available to all students, of all academic backgrounds. Requirements Our Data Visualization and Reporting with Power BI 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 • 140 lectures • 14:25:00 total length •Welcome!: 00:01:00 •What is Power BI?: 00:03:00 •Download & Installing Power BI Desktop: 00:04:00 •Getting to know the interface: 00:03:00 •Mini Project: Transform Data: 00:07:00 •Mini Project: Visualize Data: 00:05:00 •Mini Project: Creating a Data Model: 00:07:00 •Course Outline: What will you learn in this course?: 00:05:00 •How to learn best with this course?: 00:03:00 •Creating our initial project file: 00:04:00 •Working with the attached project files: 00:04:00 •Exploring the Query Editor: 00:06:00 •Connecting to our data source: 00:07:00 •Editing rows: 00:08:00 •Changing data types: 00:08:00 •Replacing values: 00:03:00 •Close & Apply: 00:03:00 •Connecting to a csv file: 00:03:00 •Connecting to a web page: 00:05:00 •Extracting characters: 00:06:00 •Splitting & merging columns: 00:09:00 •Creating conditional columns: 00:06:00 •Creating columns from examples: 00:09:00 •Merging Queries: 00:17:00 •Pivoting & Unpivoting: 00:06:00 •Appending Queries: 00:08:00 •Practice & Solution: Population table: 00:15:00 •The Fact-Dimension-Model: 00:09:00 •Practice: Load the dimension table: 00:04:00 •Organizing our queries in groups: 00:03:00 •Entering data manually: 00:05:00 •Creating an index column: 00:03:00 •Workflow & more transformations: 00:05:00 •Module summary: 00:05:00 •Exercise 1 - Instruction: 00:02:00 •Exercise 1 - Exercise Solution: 00:11:00 •Advanced Editor - Best practices: 00:09:00 •Performance: References vs. Duplicating: 00:10:00 •Performance: Enable / Disable Load & Report Refresh: 00:05:00 •Group by: 00:05:00 •Mathematical Operations: 00:05:00 •Run R Script: 00:15:00 •Using Parameters to dynamically transform data: 00:06:00 •M formula language: Basics: 00:07:00 •M formula language: Values, Lists & Tables: 00:14:00 •M formula language: Functions: 00:13:00 •M formula language: More functions & steps: 00:05:00 •Exercise 2 - Instructions: 00:01:00 •Exercise 2 - solution: 00:05:00 •Understanding the relationship: 00:05:00 •Create & edit relationships: 00:06:00 •One-to-many & one-to-one relationship: 00:06:00 •Many-to-many (m:n) relationship: 00:08:00 •Cross filter direction: 00:06:00 •Activate & deactivate relationships: 00:06:00 •Model summary: 00:03:00 •Exercise 3 Create Model: 00:02:00 •Exercise 3 Solution: 00:02:00 •Our first visual: 00:08:00 •The format tab: 00:12:00 •Understanding tables: 00:10:00 •Conditional formatting: 00:09:00 •The Pie Chart: 00:06:00 •All about the filter visual: 00:13:00 •The filter pane for developers: 00:09:00 •Cross filtering & edit interactions: 00:04:00 •Syncing slicers across pages: 00:07:00 •Creating drill downs: 00:08:00 •Creating drill throughs: 00:07:00 •The tree map visual: 00:07:00 •The decomposition tree: 00:05:00 •Understanding the matrix visual: 00:05:00 •Editing pages: 00:07:00 •Buttons & Actions: 00:09:00 •Bookmarks to customize your report: 00:10:00 •Analytics and Forecasts with line charts: 00:10:00 •Working with custom visuals: 00:07:00 •Get data using R Script & R Script visual: 00:08:00 •Asking questions - Q&A visual: 00:04:00 •Wrap up - data visualization: 00:08:00 •Python in Power BI - Plan of attack: 00:03:00 •Setting up Python for Power BI: 00:03:00 •Transforming data using Python: 00:11:00 •Creating visualizations using Python: 00:08:00 •Violin plots, pair plots & ridge plots using Python: 00:15:00 •Machine learning (BayesTextAnalyzer) using Python: 00:00:00 •Performance & Troubleshooting: 00:03:00 •Introduction: 00:01:00 •Show Empathy & Identify the Requirement: 00:03:00 •Finding the Most Suitable KPI's: 00:02:00 •Choose an Effective Visualization: 00:04:00 •Make Use of Natural Reading Pattern: 00:03:00 •Tell a Story Using Visual Cues: 00:05:00 •Avoid Chaos & Group Information: 00:02:00 •Warp Up - Storytelling with Data: 00:02:00 •Introduction: 00:03:00 •The project data: 00:04:00 •Measures vs. Calculated Columns: 00:15:00 •Automatically creating a date table in DAX: 00:08:00 •CALENDAR: 00:05:00 •Creating a complete date table with features: 00:04:00 •Creating key measure table: 00:03:00 •Aggregation functions: 00:06:00 •The different versions of COUNT: 00:14:00 •SUMX - Row based calculations: 00:09:00 •CALCULATE - The basics: 00:11:00 •Changing the context with FILTER: 00:07:00 •ALL: 00:08:00 •ALL SELECTED: 00:03:00 •ALL EXCEPT: 00:07:00 •How to go on now?: 00:03:00 •Power BI Pro vs Premium & Signing up: 00:04:00 •Exploring the interface: 00:04:00 •Discovering your workspace: 00:03:00 •Connecting Power BI Desktop & Cloud: 00:04:00 •Understanding datasets & reports: 00:03:00 •Working on reports: 00:04:00 •Updating reports from Power BI Desktop: 00:04:00 •Creating and working with workspaces: 00:07:00 •Installing & using a data gateway: 00:13:00 •Get Quick Insights: 00:03:00 •Creating dashboards: 00:04:00 •Sharing our results through Apps: 00:10:00 •Power BI Mobile App: 00:05:00 •Creating the layout for the Mobile App: 00:04:00 •Wrap up - Power BI Cloud: 00:07:00 •Introduction: 00:03:00 •Creating a Row-Level Security: 00:05:00 •Row-Level Security in the Cloud: 00:04:00 •Row-Level Security & Data Model: 00:05:00 •Dynamic Row-Level Security: 00:07:00 •Dynamic Many-to-Many RLS: 00:04:00 •Hierarchical Row-Level Security: 00:13:00 •JSON & REST API: 00:10:00 •Setting up a local MySQL database: 00:14:00 •Connecting to a MySQL database in Power BI: 00:05:00 •Connecting to a SQL database (PostgreSQL): 00:05:00 •Congratulations & next steps: 00:06:00 •The End: 00:01:00 •Resources - Data Visualization and Reporting with Power BI: 00:00:00

Overview Mastering data science skills and expertise can open new doors of opportunities for you in a wide range of fields. Learn the fundamentals and develop a solid grasp of Python data science with the comprehensive Data Science with Python course. This course is designed to assist you in securing a valuable skill set and boosting your career. This course will provide you with quality training on the fundamentals of data analysis with Python. From the step-by-step learning process, you will learn the techniques of setting up the system. Then the course will teach you Python data structure and functions. You will receive detailed lessons on NumPy, Matplotlib, and Pandas. Furthermore, you will develop the skills for Algorithm Evaluation Techniques, visualising datasets and much more. After completing the course you will receive a certificate of achievement. This certificate will help you create an impressive resume. So join 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? This course Data Science with Python course is ideal for beginners in data science. It will help them develop a solid grasp of Python and help them pursue their dream career in the field of data science. 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 And much more! Course Curriculum 90 sections • 90 lectures • 10:19:00 total length •Course Overview & Table of Contents: 00:09:00 •Introduction to Machine Learning - Part 1 - Concepts , Definitions and Types: 00:05:00 •Introduction to Machine Learning - Part 2 - Classifications and Applications: 00:06:00 •System and Environment preparation - Part 1: 00:04:00 •System and Environment preparation - Part 2: 00:06:00 •Learn Basics of python - Assignment 1: 00:10:00 •Learn Basics of python - Assignment 2: 00:09:00 •Learn Basics of python - Functions: 00:04:00 •Learn Basics of python - Data Structures: 00:12:00 •Learn Basics of NumPy - NumPy Array: 00:06:00 •Learn Basics of NumPy - NumPy Data: 00:08:00 •Learn Basics of NumPy - NumPy Arithmetic: 00:04:00 •Learn Basics of Matplotlib: 00:07:00 •Learn Basics of Pandas - Part 1: 00:06:00 •Learn Basics of Pandas - Part 2: 00:07:00 •Understanding the CSV data file: 00:09:00 •Load and Read CSV data file using Python Standard Library: 00:09:00 •Load and Read CSV data file using NumPy: 00:04:00 •Load and Read CSV data file using Pandas: 00:05:00 •Dataset Summary - Peek, Dimensions and Data Types: 00:09:00 •Dataset Summary - Class Distribution and Data Summary: 00:09:00 •Dataset Summary - Explaining Correlation: 00:11:00 •Dataset Summary - Explaining Skewness - Gaussian and Normal Curve: 00:07:00 •Dataset Visualization - Using Histograms: 00:07:00 •Dataset Visualization - Using Density Plots: 00:06:00 •Dataset Visualization - Box and Whisker Plots: 00:05:00 •Multivariate Dataset Visualization - Correlation Plots: 00:08:00 •Multivariate Dataset Visualization - Scatter Plots: 00:05:00 •Data Preparation (Pre-Processing) - Introduction: 00:09:00 •Data Preparation - Re-scaling Data - Part 1: 00:09:00 •Data Preparation - Re-scaling Data - Part 2: 00:09:00 •Data Preparation - Standardizing Data - Part 1: 00:07:00 •Data Preparation - Standardizing Data - Part 2: 00:04:00 •Data Preparation - Normalizing Data: 00:08:00 •Data Preparation - Binarizing Data: 00:06:00 •Feature Selection - Introduction: 00:07:00 •Feature Selection - Uni-variate Part 1 - Chi-Squared Test: 00:09:00 •Feature Selection - Uni-variate Part 2 - Chi-Squared Test: 00:10:00 •Feature Selection - Recursive Feature Elimination: 00:11:00 •Feature Selection - Principal Component Analysis (PCA): 00:09:00 •Feature Selection - Feature Importance: 00:06:00 •Refresher Session - The Mechanism of Re-sampling, Training and Testing: 00:12:00 •Algorithm Evaluation Techniques - Introduction: 00:07:00 •Algorithm Evaluation Techniques - Train and Test Set: 00:11:00 •Algorithm Evaluation Techniques - K-Fold Cross Validation: 00:09:00 •Algorithm Evaluation Techniques - Leave One Out Cross Validation: 00:05:00 •Algorithm Evaluation Techniques - Repeated Random Test-Train Splits: 00:07:00 •Algorithm Evaluation Metrics - Introduction: 00:09:00 •Algorithm Evaluation Metrics - Classification Accuracy: 00:08:00 •Algorithm Evaluation Metrics - Log Loss: 00:03:00 •Algorithm Evaluation Metrics - Area Under ROC Curve: 00:06:00 •Algorithm Evaluation Metrics - Confusion Matrix: 00:10:00 •Algorithm Evaluation Metrics - Classification Report: 00:04:00 •Algorithm Evaluation Metrics - Mean Absolute Error - Dataset Introduction: 00:06:00 •Algorithm Evaluation Metrics - Mean Absolute Error: 00:07:00 •Algorithm Evaluation Metrics - Mean Square Error: 00:03:00 •Algorithm Evaluation Metrics - R Squared: 00:04:00 •Classification Algorithm Spot Check - Logistic Regression: 00:12:00 •Classification Algorithm Spot Check - Linear Discriminant Analysis: 00:04:00 •Classification Algorithm Spot Check - K-Nearest Neighbors: 00:05:00 •Classification Algorithm Spot Check - Naive Bayes: 00:04:00 •Classification Algorithm Spot Check - CART: 00:04:00 •Classification Algorithm Spot Check - Support Vector Machines: 00:05:00 •Regression Algorithm Spot Check - Linear Regression: 00:08:00 •Regression Algorithm Spot Check - Ridge Regression: 00:03:00 •Regression Algorithm Spot Check - Lasso Linear Regression: 00:03:00 •Regression Algorithm Spot Check - Elastic Net Regression: 00:02:00 •Regression Algorithm Spot Check - K-Nearest Neighbors: 00:06:00 •Regression Algorithm Spot Check - CART: 00:04:00 •Regression Algorithm Spot Check - Support Vector Machines (SVM): 00:04:00 •Compare Algorithms - Part 1 : Choosing the best Machine Learning Model: 00:09:00 •Compare Algorithms - Part 2 : Choosing the best Machine Learning Model: 00:05:00 •Pipelines : Data Preparation and Data Modelling: 00:11:00 •Pipelines : Feature Selection and Data Modelling: 00:10:00 •Performance Improvement: Ensembles - Voting: 00:07:00 •Performance Improvement: Ensembles - Bagging: 00:08:00 •Performance Improvement: Ensembles - Boosting: 00:05:00 •Performance Improvement: Parameter Tuning using Grid Search: 00:08:00 •Performance Improvement: Parameter Tuning using Random Search: 00:06:00 •Export, Save and Load Machine Learning Models : Pickle: 00:10:00 •Export, Save and Load Machine Learning Models : Joblib: 00:06:00 •Finalizing a Model - Introduction and Steps: 00:07:00 •Finalizing a Classification Model - The Pima Indian Diabetes Dataset: 00:07:00 •Quick Session: Imbalanced Data Set - Issue Overview and Steps: 00:09:00 •Iris Dataset : Finalizing Multi-Class Dataset: 00:09:00 •Finalizing a Regression Model - The Boston Housing Price Dataset: 00:08:00 •Real-time Predictions: Using the Pima Indian Diabetes Classification Model: 00:07:00 •Real-time Predictions: Using Iris Flowers Multi-Class Classification Dataset: 00:03:00 •Real-time Predictions: Using the Boston Housing Regression Model: 00:08:00 •Resources - Data Science & Machine Learning with Python: 00:00:00

Overview Know how to protect personal data and ensure that neither you nor your clients experience fraud or serious criminal acts. This comprehensive course delivers all the information needed to follow the UK's Data Protection Act and safeguard confidential details from exposure. The Data Protection and Data Security Level 2 course is an invaluable overview of crucial data legislation for commercial businesses and individuals. You will be made aware of the latest threats and methods by which a computer can be illegally accessed, and vital material can be stolen. Alongside this, you will be enlightened as to the available security protocols, and the actions that you must legally take. 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 Protection and Data Security Level 2. It is available to all students, of all academic backgrounds. Requirements Our Data Protection and Data Security Level 2 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 2 sections • 6 lectures • 02:02:00 total length •GDPR Basics: 00:22:00 •GDPR Explained: 00:17:00 •Lawful Basis for Preparation: 00:29:00 •Rights and Breaches: 00:25:00 •Responsibilities and Obligations: 00:29:00 •Assignment - Data Protection and Data Security Level 2: 00:00:00