1102 Data Analysis courses

Business Intelligence Business Intelligence (BI) refers to a set of technology-based techniques, applications, and practices used to aggregate, analyze, and present business data. BI practices provide historical and current views of vast amounts of data and generate predictions for business operations. The purpose of Business Intelligence is the support of better business decision making. This course provides an overview of the technology and application of BI and how it can be used to improve corporate performance. What you will Learn You will learn how to: Specify a data warehouse schema Identify the data and visualization to be used for data mining and Business Intelligence Design a Business Intelligence user interface Getting Started Introductions Agenda Expectations Foundation Concepts The challenge of decision making What is Business Intelligence? The Business Intelligence value proposition Business Intelligence taxonomy Business Intelligence management issues Sources of Business Intelligence Data warehousing Data and information Information architecture Defining the data warehouse and its relationships Facts and dimensions Modeling, meta-modeling, and schemas Alternate architectures Building the data warehouse Extracting Transforming Loading Setting up the data and relationships Dimensions and the Fact Table Implementing many-to-many relationships in data warehouse Data marts Online Analytical Processing (OLAP) What is OLAP? OLAP and OLTP OLAP functionality Multi-dimensions Thinking in more than two dimensions What are the possibilities? OLAP architecture Cubism Tools OLAP variations - MOLAP, ROLAP, HOLAP BI using SOA Applications of Business Intelligence Applying BI through OLAP Enterprise Resource Planning and CRM Business Intelligence and financial information Business Intelligence User Interfaces and Presentations Data access Push-pull data access Types of decision support systems Designing the front end Presentation formats Dashboards Types of dashboards Common dashboard features Briefing books and scorecards Querying and Reporting Reporting emphasis Retrofitting Talking back Key Performance Indicators Report Definition and Visualization Typical reporting environment Forms of visualization Unconstrained views Data mining What is in the mine? Applications for data mining Data mining architecture Cross Industry Standard Process for Data Mining (CISP-DM) Data mining techniques Validation The Business Intelligence User Experience The business analyst role Business analysis and data analysis Five-step approach Cultural impact Identifying questions Gathering information Understand the goals The strategic Business Intelligence cycle Focus of Business Intelligence Design for the user Iterate the access Iterative solution development process Review and validation questions Basic approaches Building ad-hoc queries Building on-demand self-service reports Closed loop Business Intelligence Coming attractions - future of Business Intelligence Best practices in Business Intelligence

Business Intelligence: In-House Training Business Intelligence (BI) refers to a set of technology-based techniques, applications, and practices used to aggregate, analyze, and present business data. BI practices provide historical and current views of vast amounts of data and generate predictions for business operations. The purpose of Business Intelligence is the support of better business decision making. This course provides an overview of the technology and application of BI and how it can be used to improve corporate performance. What you will Learn You will learn how to: Specify a data warehouse schema Identify the data and visualization to be used for data mining and Business Intelligence Design a Business Intelligence user interface Getting Started Introductions Agenda Expectations Foundation Concepts The challenge of decision making What is Business Intelligence? The Business Intelligence value proposition Business Intelligence taxonomy Business Intelligence management issues Sources of Business Intelligence Data warehousing Data and information Information architecture Defining the data warehouse and its relationships Facts and dimensions Modeling, meta-modeling, and schemas Alternate architectures Building the data warehouse Extracting Transforming Loading Setting up the data and relationships Dimensions and the Fact Table Implementing many-to-many relationships in data warehouse Data marts Online Analytical Processing (OLAP) What is OLAP? OLAP and OLTP OLAP functionality Multi-dimensions Thinking in more than two dimensions What are the possibilities? OLAP architecture Cubism Tools OLAP variations - MOLAP, ROLAP, HOLAP BI using SOA Applications of Business Intelligence Applying BI through OLAP Enterprise Resource Planning and CRM Business Intelligence and financial information Business Intelligence User Interfaces and Presentations Data access Push-pull data access Types of decision support systems Designing the front end Presentation formats Dashboards Types of dashboards Common dashboard features Briefing books and scorecards Querying and Reporting Reporting emphasis Retrofitting Talking back Key Performance Indicators Report Definition and Visualization Typical reporting environment Forms of visualization Unconstrained views Data mining What is in the mine? Applications for data mining Data mining architecture Cross Industry Standard Process for Data Mining (CISP-DM) Data mining techniques Validation The Business Intelligence User Experience The business analyst role Business analysis and data analysis Five-step approach Cultural impact Identifying questions Gathering information Understand the goals The strategic Business Intelligence cycle Focus of Business Intelligence Design for the user Iterate the access Iterative solution development process Review and validation questions Basic approaches Building ad-hoc queries Building on-demand self-service reports Closed loop Business Intelligence Coming attractions - future of Business Intelligence Best practices in Business Intelligence

Master Data Science skills using Python and real time project and go from Beginner to Super Advance level

Data Analyst (Data Analytics) - CPD Certified Have you ever wondered how companies get insights from massive volumes of data to stay competitive and make wise decisions? If so, then participate in our exclusive Data Analytics Course. This Data Analytics Course describes the fundamentals of data, statistics, and an introduction to data analytics. How to get data and where to find it is explained in the Data Analytics Course. Moreover, this Data Analytics Course covers data cleansing, preprocessing, and exploratory data analysis (EDA). Additionally, the Data Analytics Course provides an introduction to Python and Excel for data analytics. This thorough Data Analytics Course includes lessons on data wrangling with Pandas (python) and data visualisation using Matplotlib and Seaborn (python). Enrol in our Data Analytics Course to study the fundamentals of statistical analysis and machine learning. Special Offers of this Data Analyst (Data Analytics) Course Data Analyst (Data Analytics) Course includes a FREE PDF Certificate. Lifetime access to this Data Analyst (Data Analytics) Course Instant access to this Data Analyst (Data Analytics) Course Get FREE Tutor Support from Monday to Friday in this Data Analyst (Data Analytics) Course Courses are included in this Data Analyst (Data Analytics) Course Course 01: Cyber Security Course 02: GDPR Course 03: Business Administration [ Note: Free PDF certificate as soon as completing the Data Analyst (Data Analytics) Course] Course Curriculum of Data Analyst (Data Analytics) - CPD Certified Module 1: Introduction to Data Analytics Module 2: Basics of Data and Statistics Module 3: Data Collection and Sources Module 4: Data Cleaning and Preprocessing Module 5: Exploratory Data Analysis (EDA) Module 6: Introduction to Excel for Data Analytics Module 7: Introduction to Python for Data Analytics Module 8: Data Wrangling with Pandas (Python) Module 9: Data visualisation with Matplotlib and Seaborn (Python) Module 10: Introduction to Basic Statistical Analysis Module 11: Introduction to Machine Learning Module 12: Capstone Project - Exploratory Data Analysis Assessment Method After completing each module of the Data Analyst (Data Analytics) Course, you will find automated MCQ quizzes. To unlock the next module, you need to complete the quiz task and get at least 60% marks. Certification After completing the MCQ/Assignment assessment for this Data Analyst (Data Analytics) course, you will be entitled to a Certificate of Completion from Training Tale. The certificate is in PDF format, which is completely free to download. A printed version is also available upon request. It will also be sent to you through a courier for £13.99. Who is this course for? Data Analyst (Data Analytics) - CPD Certified For business professionals, entrepreneurs, or anybody else looking to have a thorough grasp of data analysis in a commercial setting, this Data Analytics Course is ideal. Requirements There are no specific requirements for Data Analyst (Data Analytics) Course because it does not require any advanced knowledge or skills. Career path Data Analyst (Data Analytics) - CPD Certified This Data Analytics Course will assist you in obtaining positions as a business analyst, marketing analyst, data analyst, and in related fields. Certificates Certificate of completion Digital certificate - Included

Lean Six Sigma Black Belt Certification Program This course is specifically for people wanting to become Lean Six Sigma Black Belts, who are already Lean Six Sigma practitioners. If advanced statistical analysis is needed to identify root causes and optimal process improvements, (Lean) Six Sigma Green Belts typically ask Black Belts or Master Black Belts to conduct these analyses. This course will change that. Green Belts wanting to advance their statistical abilities will have a considerable amount of hands-on practice in techniques such as Statistical Process Control, MSA, Hypothesis Testing, Correlation and Regression, Design of Experiments, and many others. Participants will also work throughout the course on a real-world improvement project from their own business environment. This provides participants with hands-on learning and provides the organization with an immediate ROI once the project is completed. IIL instructors will provide free project coaching throughout the course. What you Will Learn At the end of this program, you will be able to: Use Minitab for advanced data analysis Develop appropriate sampling strategies Analyze differences between samples using Hypothesis Tests Apply Statistical Process Control to differentiate common cause and special cause variation Explain and apply various process capability metrics Conduct Measurement System Analysis and Gage R&R studies for both discrete and continuous data Conduct and analyze simple and multiple regression analysis Plan, execute, and analyze designed experiments Drive sustainable change efforts through leadership, change management, and stakeholder management Successfully incorporate advanced analysis techniques while moving projects through the DMAIC steps Explain the main concepts of Design for Six Sigma including QFD Introduction: DMAIC Review IIL Black Belt Certification Requirements Review Project Selection Review Define Review Measure Review Analyze Review Improve Review Control Introduction: Minitab Tool Introduction to Minitab Minitab basic statistics and graphs Special features Overview of Minitab menus Introduction: Sampling The Central Limit Theorem Confidence Interval of the mean Sample size for continuous data (mean) Confidence Interval for proportions Sample size for discrete data (proportions) Sampling strategies (review) Appendix: CI and sample size for confidence levels other than 95% Hypothesis Testing: Introduction Why use advanced stat tools? What are hypothesis tests? The seven steps of hypothesis tests P value errors and hypothesis tests Hypothesis Testing: Tests for Averages 1 factor ANOVA and ANOM Main Effect Plots, Interaction Plots, and Multi-Vari Charts 2 factor ANOVA and ANOM Hypothesis Testing: Tests for Standard Deviations Testing for equal variance Testing for normality Choosing the right hypothesis test Hypothesis Testing: Chi Square and Other Hypothesis Test Chi-square test for 1 factor ANOM test for 1 factor Chi-square test for 2 factors Exercise hypothesis tests - shipping Non-parametric tests Analysis: Advanced Control Charts Review of Common Cause and Special Cause Variation Review of the Individuals Control Charts How to calculate Control Limits Four additional tests for Special Causes Control Limits after Process Change Discrete Data Control Charts Control Charts for Discrete Proportion Data Control Charts for Discrete Count Data Control Charts for High Volume Processes with Continuous Data Analysis: Non-Normal Data Test for normal distribution Box-Cox Transformation Box-Cox Transformation for Individuals Control Charts Analysis: Time Series Analysis Introduction to Time Series Analysis Decomposition Smoothing: Moving Average Smoothing: EWMA Analysis: Process Capability Process capability Discrete Data: Defect metrics Discrete Data: Yield metrics Process Capability for Continuous Data: Sigma Value Short- and long-term capabilities Cp, Cpk, Pp, Ppk capability indices Analysis: Measurement System Analysis What is Measurement System Analysis? What defines a good measurement system? Gage R&R Studies Attribute / Discrete Gage R&R Continuous Gage R&R Regression Analysis: Simple Correlation Correlation Coefficient Simple linear regression Checking the fit of the Regression Model Leverage and influence analysis Correlation and regression pitfalls Regression Analysis: Multiple Regression Analysis Introduction to Multiple Regression Multicollinearity Multiple Regression vs. Simple Linear Regression Regression Analysis: Multiple Regression Analysis with Discrete Xs Introduction Creating indicator variables Method 1: Going straight to the intercepts Method 2: Testing for differences in intercepts Logistic Regression: Logistic Regression Introduction to Logistic Regression Logistic Regression - Adding a Discrete X Design of Experiments: Introduction Design of Experiment OFAT experimentation Full factorial design Fractional factorial design DOE road map, hints, and suggestions Design of Experiments: Full Factorial Designs Creating 2k Full Factorial designs in Minitab Randomization Replicates and repetitions Analysis of results: Factorial plots Analysis of results: Factorial design Analysis of results: Fits and Residuals Analysis of results: Response Optimizer Analysis of results: Review Design of Experiments: Pragmatic Approaches Designs with no replication Fractional factorial designs Screening Design of Experiment Case Study Repair Time Blocking Closing: Organizational Change Management Organizational change management Assuring project sponsorship Emphasizing shared need for change Mobilizing stakeholder commitment Closing: Project Management for Lean Six Sigma Introduction to project management Project management for Lean Six Sigma The project baseline plan Work Breakdown Structure (WBS) Resource planning Project budget Project risk Project schedule Project executing Project monitoring and controlling and Closing Closing: Design for Lean Six Sigma Introduction to Design for Lean Six Sigma (DMADV) Introduction to Quality Function Deployment (QFD) Summary and Next Steps IIL's Lean Six Sigma Black Belt Certification Program also prepares you to pass the IASSC Certified Black Belt Exam (optional)

Lean Six Sigma Black Belt Certification Program: In-House Training This course is specifically for people wanting to become Lean Six Sigma Black Belts, who are already Lean Six Sigma practitioners. If advanced statistical analysis is needed to identify root causes and optimal process improvements, (Lean) Six Sigma Green Belts typically ask Black Belts or Master Black Belts to conduct these analyses. This course will change that. Green Belts wanting to advance their statistical abilities will have a considerable amount of hands-on practice in techniques such as Statistical Process Control, MSA, Hypothesis Testing, Correlation and Regression, Design of Experiments, and many others. Participants will also work throughout the course on a real-world improvement project from their own business environment. This provides participants with hands-on learning and provides the organization with an immediate ROI once the project is completed. IIL instructors will provide free project coaching throughout the course. What you Will Learn At the end of this program, you will be able to: Use Minitab for advanced data analysis Develop appropriate sampling strategies Analyze differences between samples using Hypothesis Tests Apply Statistical Process Control to differentiate common cause and special cause variation Explain and apply various process capability metrics Conduct Measurement System Analysis and Gage R&R studies for both discrete and continuous data Conduct and analyze simple and multiple regression analysis Plan, execute, and analyze designed experiments Drive sustainable change efforts through leadership, change management, and stakeholder management Successfully incorporate advanced analysis techniques while moving projects through the DMAIC steps Explain the main concepts of Design for Six Sigma including QFD Introduction: DMAIC Review IIL Black Belt Certification Requirements Review Project Selection Review Define Review Measure Review Analyze Review Improve Review Control Introduction: Minitab Tool Introduction to Minitab Minitab basic statistics and graphs Special features Overview of Minitab menus Introduction: Sampling The Central Limit Theorem Confidence Interval of the mean Sample size for continuous data (mean) Confidence Interval for proportions Sample size for discrete data (proportions) Sampling strategies (review) Appendix: CI and sample size for confidence levels other than 95% Hypothesis Testing: Introduction Why use advanced stat tools? What are hypothesis tests? The seven steps of hypothesis tests P value errors and hypothesis tests Hypothesis Testing: Tests for Averages 1 factor ANOVA and ANOM Main Effect Plots, Interaction Plots, and Multi-Vari Charts 2 factor ANOVA and ANOM Hypothesis Testing: Tests for Standard Deviations Testing for equal variance Testing for normality Choosing the right hypothesis test Hypothesis Testing: Chi Square and Other Hypothesis Test Chi-square test for 1 factor ANOM test for 1 factor Chi-square test for 2 factors Exercise hypothesis tests - shipping Non-parametric tests Analysis: Advanced Control Charts Review of Common Cause and Special Cause Variation Review of the Individuals Control Charts How to calculate Control Limits Four additional tests for Special Causes Control Limits after Process Change Discrete Data Control Charts Control Charts for Discrete Proportion Data Control Charts for Discrete Count Data Control Charts for High Volume Processes with Continuous Data Analysis: Non-Normal Data Test for normal distribution Box-Cox Transformation Box-Cox Transformation for Individuals Control Charts Analysis: Time Series Analysis Introduction to Time Series Analysis Decomposition Smoothing: Moving Average Smoothing: EWMA Analysis: Process Capability Process capability Discrete Data: Defect metrics Discrete Data: Yield metrics Process Capability for Continuous Data: Sigma Value Short- and long-term capabilities Cp, Cpk, Pp, Ppk capability indices Analysis: Measurement System Analysis What is Measurement System Analysis? What defines a good measurement system? Gage R&R Studies Attribute / Discrete Gage R&R Continuous Gage R&R Regression Analysis: Simple Correlation Correlation Coefficient Simple linear regression Checking the fit of the Regression Model Leverage and influence analysis Correlation and regression pitfalls Regression Analysis: Multiple Regression Analysis Introduction to Multiple Regression Multicollinearity Multiple Regression vs. Simple Linear Regression Regression Analysis: Multiple Regression Analysis with Discrete Xs Introduction Creating indicator variables Method 1: Going straight to the intercepts Method 2: Testing for differences in intercepts Logistic Regression: Logistic Regression Introduction to Logistic Regression Logistic Regression - Adding a Discrete X Design of Experiments: Introduction Design of Experiment OFAT experimentation Full factorial design Fractional factorial design DOE road map, hints, and suggestions Design of Experiments: Full Factorial Designs Creating 2k Full Factorial designs in Minitab Randomization Replicates and repetitions Analysis of results: Factorial plots Analysis of results: Factorial design Analysis of results: Fits and Residuals Analysis of results: Response Optimizer Analysis of results: Review Design of Experiments: Pragmatic Approaches Designs with no replication Fractional factorial designs Screening Design of Experiment Case Study Repair Time Blocking Closing: Organizational Change Management Organizational change management Assuring project sponsorship Emphasizing shared need for change Mobilizing stakeholder commitment Closing: Project Management for Lean Six Sigma Introduction to project management Project management for Lean Six Sigma The project baseline plan Work Breakdown Structure (WBS) Resource planning Project budget Project risk Project schedule Project executing Project monitoring and controlling and Closing Closing: Design for Lean Six Sigma Introduction to Design for Lean Six Sigma (DMADV) Introduction to Quality Function Deployment (QFD) Summary and Next Steps IIL's Lean Six Sigma Black Belt Certification Program also prepares you to pass the IASSC Certified Black Belt Exam (optional)

Dive deep into the dynamic world of 'Remote Sensing Technology: Applications and Innovations.' This meticulously crafted course unravels the sophisticated dance between electromagnetic spectrums and their applications in remote sensing. Walk through the intricacies of image interpretation and data analysis, all while keeping pace with the latest trends and innovations. With a special focus on applications within the UK, this course is both a theoretical masterpiece and a practical guide. Learning Outcomes Grasp the foundational principles and concepts of remote sensing. Understand the intricate nuances of the electromagnetic spectrum in relation to remote sensing applications. Decipher and interpret remotely sensed imagery effectively. Execute remote sensing data analysis with precision. Stay abreast with contemporary trends and anticipate the future trajectory of remote sensing. Why choose this Remote Sensing Technology: Applications and Innovations course? Unlimited access to the course for a lifetime. Opportunity to earn a certificate accredited by the CPD Quality Standards after completing this course. Structured lesson planning in line with industry standards. Immerse yourself in innovative and captivating course materials and activities. Assessments are designed to evaluate advanced cognitive abilities and skill proficiency. Flexibility to complete the Remote Sensing Technology: Applications and Innovations Course at your own pace, on your own schedule. Receive full tutor support throughout the week, from Monday to Friday, to enhance your learning experience. Who is this Remote Sensing Technology: Applications and Innovations course for? Graduates venturing into geospatial sciences. Professionals in the field of geographic information systems (GIS). Researchers and academicians focusing on geospatial technologies. Environmentalists and urban planners seeking innovative tools for analysis. Organisations aiming to leverage remote sensing for data-driven decisions. Career path Remote Sensing Specialist: £30,000 - £48,000 Geospatial Analyst: £26,000 - £42,000 GIS Developer: £32,000 - £50,000 Satellite Imagery Interpreter: £29,000 - £45,000 Remote Sensing Researcher: £27,000 - £46,000 Geoinformatics Engineer: £31,000 - £49,000 Prerequisites This Remote Sensing Technology: Applications and Innovations does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Remote Sensing Technology: Applications and Innovations was made by professionals and it is compatible with all PC's, Mac's, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection. Certification After studying the course materials, there will be a written assignment test which you can take at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £4.99 Original Hard Copy certificates need to be ordered at an additional cost of £8. Course Curriculum Module 01: Introduction to Remote Sensing Introduction to Remote Sensing 00:18:00 Module 02: Electromagnetic Spectrum and Remote Sensing Electromagnetic Spectrum and Remote Sensing 00:18:00 Module 03: Platforms and Sensors Platforms and Sensors 00:19:00 Module 04: Image Interpretation Image Interpretation 00:18:00 Module 05: Remote Sensing Data Analysis Remote Sensing Data Analysis 00:21:00 Module 06: Applications of Remote Sensing in the UK Applications of Remote Sensing in the UK 00:17:00 Module 07: Future Trends in Remote Sensing Future Trends in Remote Sensing 00:18:00

***Limited Time Exclusive Bundle*** Get Hard Copy + PDF Certificates + Transcript + Student ID Card + e-Learning App as a Gift - Enrol Now Professional Personal Finance | Financial Planning and Management | Accounting | Accounting and Bookkeeping | Tax Accounting | Financial Analysis | Investment | Financial Modeling Using Excel | Data Analysis in Excel | Functional Skills Maths and much more... Tired of browsing and searching for the course you are looking for? Can't find the complete package that fulfils all your needs? Then don't worry as you have just found the solution. Take a minute and look through this 14-in-1 extensive bundle that has everything you need to succeed in Personal Finance and other relevant fields! After surveying thousands of learners just like you and considering their valuable feedback, this all-in-one Personal Finance bundle has been designed by industry experts. We prioritised what learners were looking for in a complete package and developed this in-demand Personal Finance course that will enhance your skills and prepare you for the competitive job market. Also, our Personal Finance experts are available for answering your queries and help you along your learning journey. Advanced audio-visual learning modules of these courses are broken down into little chunks so that you can learn at your own pace without being overwhelmed by too much material at once. This Bundle Consists of the following Premium courses: Course 01: Professional Personal Finance Course Course 02: Introduction to Accounting Course 03: Accounting and Bookkeeping Level 2 Course 04: Level 3 Tax Accounting Course 05: Financial Analysis Course 06: Investment Course 07: Stock Market Investing for Beginners Course 08: Financial Statements Fraud Detection Training Course 09: Microsoft Excel Training: Depreciation Accounting Course 10: Financial Modeling Using Excel Course 11: Data Analysis in Excel Level 3 Course Course 12: Functional Skills Maths Level 2 Course 13: Advanced Diploma in MS Excel Course 14: Decision Making and Critical Thinking Benefits you'll get from choosing Apex Learning for this Bundle: Pay once and get lifetime access to 11 CPD courses Free e-Learning App for engaging reading materials & helpful assistance Certificates, student ID for the course included in a one-time fee Free up your time - don't waste time and money travelling for classes Accessible, informative modules of the course designed by expert instructors Learn about the course at your ease - anytime, from anywhere Study the course from your computer, tablet or mobile device CPD accredited course - improve the chance of gaining professional skills How will I get my Certificate? After successfully completing the course, you will be able to order your CPD Accredited Certificates (PDF + Hard Copy) as proof of your achievement. PDF Certificate: Free (For The Title Course) Hard Copy Certificate: Free (For The Title Course) The bundle incorporates basic to advanced level skills to shed some light on your way and boost your career. Hence, you can strengthen your Personal Finance expertise and essential knowledge, which will assist you in reaching your goal. Curriculum: Course 01: Professional Personal Finance Course Section 01: Introduction Introduction Section 02: Personal Finance Personal Finance Areas of Personal Finance Net Worth Net Worth - Example Section 03: Personal Expenses and Income Housing Expenses Utility Expenses Credit Debts Food Expenses Clothing Expenses Gift Expenses Travel Expenses Extra Income Section 04: Savings Emergency Fund Savings on Retirement Health Insurance Section 05: How to Manage Your Personal Finance Using Free Budgeting Software Introduction to the Budgeting Software Setting Up Dashboard Budget Analysis ---------- Other Courses Are ---------- Course 02: Introduction to Accounting Course 03: Accounting and Bookkeeping Level 2 Course 04: Level 3 Tax Accounting Course 05: Financial Analysis Course 06: Investment Course 07: Stock Market Investing for Beginners Course 08: Financial Statements Fraud Detection Training Course 09: Microsoft Excel Training: Depreciation Accounting Course 10: Financial Modeling Using Excel Course 11: Data Analysis in Excel Level 3 Course Course 12: Functional Skills Maths Level 2 Course 13: Advanced Diploma in MS Excel Course 14: Decision Making and Critical Thinking CPD 150 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Anyone from any background can enrol in this Personal Finance bundle. Requirements Our course is fully compatible with PCs, Macs, laptops, tablets and Smartphone devices. Career path Having this Personal Finance expertise will increase the value of your CV and open you up to multiple job sectors. Certificates Certificate of completion Digital certificate - Included

This course focuses on understanding all the basic theory and programming skills required as a data scientist, featuring 35+ practical case studies covering common business problems faced by them. This course seeks to fill all those gaps in knowledge that scare off beginners and simultaneously apply your knowledge of data science and deep learning to real-world business problems.

>> 12-Hour Knowledge Knockdown! Prices Reduced Like Never Before << In the fast-paced business world of the UK, where document management is crucial for organisational efficiency, the demand for skilled professionals in document control has skyrocketed. According to a recent survey by PwC, companies with robust document control procedures experience up to 33% higher productivity and 28% better adherence to compliance regulations. However, are you equipped with the necessary knowledge and skills to navigate the complexities of document control? This Document Control bundle aims to unlock the secrets of effective document control, empowering you to streamline processes and drive organisational success. With a single payment, you will gain access to the Diploma in Document Control course, including 10 premium courses, a QLS Endorsed Hardcopy certificate (for the title course) and 11 PDF certificates for Absolutely free. This Document Control Bundle Package includes: Main Course: Certificate in Document Control at QLS Level 3 10 Additional CPDQS Accredited Premium Courses - Course 01: Office Admin and Receptionist Skills Course 02: Proofreading & Copyediting Course 03: Touch Typing Masterclass Course 04: Microsoft Excel - Beginner, Intermediate & Advanced Course 05: Excel Data Analysis Course 06: Workplace Confidentiality Course 07: Contract Management Course Level 5 Course 08: Mastering Organizational Chaos Course Course 09: Professional Diploma in Stress Management Course 10: Online Time Management Training This comprehensive Document Control Bundle equips you with the skills and knowledge needed to excel in a document control role. You'll gain a strong foundation in document control principles and best practices, learn how to effectively manage the document lifecycle, and develop essential skills like proofreading, copyediting, and data analysis in Microsoft Excel. Learning Outcomes of Document Control Develop comprehensive knowledge and skills in document control principles and practices. Master office administration and receptionist tasks for efficient document handling. Enhance proofreading and copyediting abilities to ensure document accuracy. Gain proficiency in touch typing for improved productivity and efficiency. Learn advanced Microsoft Excel techniques for data analysis and management. Understand the importance of workplace confidentiality and contract management. Invest in your future by enrolling today and gain a competitive edge in the ever-evolving world of document control. Why Choose Our Document Control Bundle? Get a Free QLS Endorsed Certificate upon completion of Document Control Get a free student ID card with Document Control Training The Document Control is affordable and simple to understand The Document Control is an entirely online, interactive lesson with voiceover audio Lifetime access to the Document Control course materials The Document Control comes with 24/7 tutor support Start your learning journey straightaway! *** Course Curriculum *** Main Course: Certificate in Document Control at QLS Level 3 Introduction Principles and Elements of Document Control Environment Lifecycle Strategies & Instruments Document Management Quality Assurance & Controlling Quality of Documents Project Document Control Electronic Document Management Systems & Soft Copy Documentation Course 01: Office Admin and Receptionist Skills Module 01: Introduction To Reception And Receptionist Module 02: Business Telephone Skills Module 03: Representing Your Boss And Company Module 04: Mail Services And Shipping Module 05: Travel Arrangements Module 06: Organising Meeting And Conferences Module 07: Time Management Module 08: Record Keeping And Filing Systems Module 09: Business Writing Skills Module 10 :Organisational Skills Course 02: Proofreading & Copyediting Module 1: Proofreading Basics Module 2: Applying The Style Guide Module 3: Spelling And Grammar Module 4: Proofreading On Paper Module 5: Proofreading On-Screen Module 6: Copy-Editing Basics Module 7: Copy-Editing - The Use Of Language Module 8: Copy-Editing - Checking Accuracy And Facts Module 9: Copy-Editing - The Beginning And The End Module 10: Copy-Editing - Legal Checks =========>>>>> And 8 More Courses <<<<<========= How will I get my Certificate? After successfully completing the course, you will be able to order your Certificates as proof of your achievement. PDF Certificate: Free (Previously it was £12.99*11 = £143) QLS Endorsed Hard Copy Certificate: Free (For The Title Course: Previously it was £89) CPD 230 CPD hours / points Accredited by CPD Quality Standards Who is this course for? This Document Control is perfect for highly motivated people who want to improve their technical skills and prepare for the career they want! Document Controllers Admin Staff Project Coordinators Business Professionals Recent Graduates Career Changers Requirements No prior background or expertise is required for this Document Control bundle. Career path After completing this bundle, you are to start your career or begin the next phase of your career. Document Controller Records Manager Information Specialist Project Management Business Analyst Compliance Officer Certificates Certificate Accredited by CPDQS Digital certificate - Included Upon passing the Course, you need to order a Digital Certificate for each of the courses inside this bundle as proof of your new skills that are accredited by CPD QS for Free. Certificate in Document Control at QLS Level 3 Hard copy certificate - Included Please note that International students have to pay an additional £10 as a shipment fee.