1719 Analytics courses in London delivered Online

Master VLOOKUP in Excel in just 60 minutes! From menus to list comparisons, learn essential VLOOKUP skills fast.

Master the art of Search Engine Optimization (SEO) with our comprehensive course updated for 2021. Learn the latest techniques and strategies to boost website visibility, drive organic traffic, and dominate search engine rankings. Stay ahead of the curve in the ever-evolving digital landscape with expert-led training in SEO best practices

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

Learn Excel for Business Accounting with our comprehensive course. From basic worksheet creation to advanced functions like pivot tables, charts, and data analysis, master Excel's features for efficient accounting tasks. Ideal for business professionals and students looking to enhance their Excel skills for financial management.

Master advanced Excel skills and boost your career with our Microsoft Excel Advanced Diploma Course. Gain proficiency in data analysis, understand advanced features, and develop practical expertise.

Master the magic of Microsoft Excel's sought-after functions with the 'Excel Vlookup; Xlookup; Match and Index' course. This tailored journey beckons those eager to navigate datasets with dexterity, turning raw data into actionable insights. From the foundational intricacies of Vlookup to the advanced functionalities of Xlookup, this course provides a comprehensive roadmap for all spreadsheet enthusiasts. Learning Outcomes Gain proficiency in implementing and mastering the Vlookup function. Understand the nuanced differences and applications of Xlookup. Recognise when and how to best use each of these Excel functions. Enhance efficiency in data processing and analysis tasks. Elevate your Excel proficiency, becoming a reliable resource for data-driven decisions. Why choose this Excel Vlookup; Xlookup; Match and Index 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 Excel Vlookup; Xlookup; Match and Index 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 Excel Vlookup; Xlookup; Match and Index course for? Data enthusiasts keen on enhancing their Excel skillset. Business professionals aiming to streamline data analysis. Students looking to gain a competitive edge in data-driven fields. Analysts aiming for faster, more accurate data interpretations. Excel users seeking to optimise their use of lookup functionalities. Career path Data Analyst: £25,000 - £40,000 Excel Consultant: £30,000 - £55,000 Finance Analyst: £28,000 - £45,000 Marketing Analyst: £24,000 - £48,000 Operations Analyst: £26,000 - £42,000 Report Developer: £27,000 - £51,000 Prerequisites This Excel Vlookup; Xlookup; Match and Index does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Excel Vlookup; Xlookup; Match and Index 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 Excel Vlookup; Xlookup; Match and Index 1.1 Excel vlookup 00:08:00 1.2 Excel xlookup 00:06:00 1.3 Excel vlookup 00:08:00 1.4 Excel vlookup 00:03:00 1.5 Excel vlookup 00:11:00 1.6 Excel vlookup 00:05:00 1.7 Excel vlookup 00:05:00 Assignment Assignment - Excel Vlookup; Xlookup; Match and Index 00:00:00 Resource Resource 00:00:00

In an increasingly complex and interconnected world, intelligence analysis plays a crucial role in protecting national security. The demand for skilled intelligence analysts is growing, and there is a need for individuals with critical thinking skills and an understanding of the intelligence cycle. According to a report by the UK Government, the security and intelligence sector is expected to grow by 3.2% per year, creating around 42,000 jobs by 2020. By taking this course, individuals can equip themselves with the skills and knowledge necessary to contribute to national security efforts in the UK. Learning Outcomes: Understand the definition and purpose of intelligence analysis Develop an understanding of the intelligence cycle and best practices in analysis processes Learn the importance of critical thinking and how to structure analytical assessments Gain an understanding of legal issues and ethics in intelligence analysis Understand the roles, responsibilities, and functions of an intelligence analyst Be able to contribute to national security efforts through effective intelligence analysis Course Curriculum: Module 01: Defining Intelligence Analysis - In this module, you will learn the definition and purpose of intelligence analysis, including the types of intelligence and the role of the intelligence analyst. Module 02: Development of Intelligence Analysis - This module will cover the historical development of intelligence analysis, including the evolution of intelligence gathering and analysis techniques. Module 03: The Intelligence Cycle - In this module, you will learn about the intelligence cycle, including its stages and the role of the analyst in each stage. Module 04: Critical Thinking and Structuring - This module will cover critical thinking, including its importance in intelligence analysis and how to structure analytical assessments. Module 05: Analysis Process and Best Practice - In this module, you will learn best practices in the analysis process, including the use of analytical tools and techniques. Module 06: Intelligence and National Security - This module will cover the role of intelligence in national security, including its contribution to policy-making and the prevention of threats. Module 07: Legal Issues and Ethics - In this module, you will learn about legal issues and ethics in intelligence analysis, including privacy and human rights concerns. Module 08: Your Role, Responsibilities, and Functions as an Analyst - This module will cover the roles, responsibilities, and functions of an intelligence analyst, including effective communication, teamwork, and report writing. Certification Upon completion of the course, learners can obtain a certificate as proof of their achievement. You can receive a £4.99 PDF Certificate sent via email, a £9.99 Printed Hardcopy Certificate for delivery in the UK, or a £19.99 Printed Hardcopy Certificate for international delivery. Each option depends on individual preferences and locations. CPD 10 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Individuals interested in pursuing a career in intelligence analysis Current intelligence analysts seeking to enhance their skills and knowledge Career path Intelligence Analyst: £25,000-£50,000 per year Senior Intelligence Analyst: £40,000-£80,000 per year Intelligence Officer: £30,000-£60,000 per year Security Analyst: £35,000-£70,000 per year

Becoming a Data Quality Expert Data science is an exploding field with tremendous demand. Having high quality data is an absolute must for any business today and data informs every decision a business must make. But what if you have poor quality data? What if your company acquired another company and the data structure does not match? What if you have large gaps in the data you have vs. what you need?Imagine yourself as an IT project/program manager who has run many engagements for the business. You have great PM skills and you run your agenda with the precision of a Swiss watch. But you now have to run Data Quality for your organization. Can you just program manage this and be fine? What will be different about this than any other IT project?Wake-up call: a WHOLE LOT! You must acquire a lot of new skills and you must become a data expert as quickly as possible. I want to share with you my journey and experience. I have had to go from deeply technical in some IT areas, to project/program managing general IT projects, to gaining specialized skills in data quality. I will share with you my assessment, gap analysis and mitigation strategy that transformed me into a data quality expert.

Overview This comprehensive course on Intelligence Analyst Certification Course will deepen your understanding on this topic.After successful completion of this course you can acquire the required skills in this sector. This Intelligence Analyst Certification Course 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 Intelligence Analyst Certification Course. It is available to all students, of all academic backgrounds. Requirements Our Intelligence Analyst Certification 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 8 sections • 8 lectures • 06:03:00 total length •Defining Intelligence Analysis: 00:46:00 •Development of Intelligence Analysis: 00:49:00 •The Intelligence Cycle: 00:36:00 •Critical Thinking and Structuring: 00:39:00 •Analysis Process and Best Practice: 01:00:00 •Intelligence and National Security: 00:45:00 •Legal Issues and Ethics: 00:42:00 •Your Role, Responsibilities, and Functions as an Analyst: 00:46:00

Criminal intelligence and crime analysis are important tools used by law enforcement agencies to help identify and solve crimes. Criminal intelligence involves gathering, analysing, and disseminating information about criminal activity and potential threats. In contrast, crime analysis involves using data and other information to identify patterns and trends in criminal activity, which can help law enforcement agencies to better allocate their resources and develop strategies to prevent and solve crimes. Criminal intelligence and crime analysis are important and growing fields within law enforcement. Gaining expertise in these areas can open up opportunities for advancement and leadership roles within an agency. In addition to traditional law enforcement roles, there is also a wide range of non-law enforcement jobs in the field of criminal intelligence and crime analysis, including positions in government agencies, private consulting firms, and other organisations. Many of these positions require a strong background in data analysis, research, and critical thinking, which can be gained through training and education in criminal intelligence and crime analysis. Learning Outcomes: Intelligence cycle: The process of collecting, analysing, and disseminating intelligence, including the use of various sources of information and the importance of accuracy and timeliness. Crime analysis: Techniques for analysing crime data and identifying patterns, trends, and hot spots. Intelligence-led policing: The use of intelligence to inform policing strategies and tactics. Criminal psychology: Understand criminal psychology, counterterrorism and criminal intelligence analysis Enrol in the Criminal Intelligence and Crime Analysis course and learn a new professional skill from anywhere, at any time! Why choose Criminal Intelligence and Crime Analysis? Opportunity to boost your CV/Resume with CPD accredited proficiency Student ID card with amazing discounts - completely for FREE! (Postal charges will be applicable for international delivery) Instant results upon completion of each assessment Certificates available in both PDF and hard copy format Interactive, high-quality course content with 24/7 online access Full tutor support and learning assistance included Criminal intelligence and crime analysis involve using data and other information to identify patterns and trends in criminal activity and to help law enforcement agencies prevent and solve crimes. Criminal intelligence involves gathering and analysing information about potential threats and criminal activity and disseminating this information to relevant parties. ***Course Curriculum*** Here are the topics you will cover on the Criminal Intelligence and Crime Analysis Course. ***Criminal Intelligence and Crime Analysis*** Module 01: Introduction to Intelligence Analysis Module 02: Criminal Intelligence Analysis Module 03: Criminal Intelligence Analyst - Skills and Competencies Module 04: Understanding Criminal Psychology Module 05: Research Methods in Crime Analysis Module 06: Decision Making in Criminal Intelligence Analysis Module 07: Intelligence-Led Policing Module 08: Counterterrorism and Criminal Intelligence Analysis Module 09: Technology in Criminal Intelligence Analysis Module 10: The Criminal Justice System in England and Wales Assessment Process Once you have finished the learning stages in the course, your abilities will be assessed by an automated multiple-choice question session, after which you will receive the results immediately. CPD 10 CPD hours / points Accredited by CPD Quality Standards Who is this course for? The Criminal Intelligence and Crime Analysis has been professionally-designed for motivated learners who are looking to add a new skill to their CV and stand head and shoulders above the competition. Learn the latest industry-specific information with the course and Crime Analysis. Enrol on the Criminal Intelligence and Crime Analysis and learn a new professional skill from anywhere, at any time! Requirements Enrol on the Criminal Intelligence and Crime Analysis with no formal entry requirements! If you have a passion for knowledge and want to learn something new, register on the Criminal Intelligence and Crime Analysis without any delay. We only ask that all students have a passion for learning and literacy, and be over the age of 16. Complete the Criminal Intelligence and Crime Analysis online from your computer, tablet, or smartphone, and learn in a way that suits you. Career path The Criminal Intelligence Analyst course may open up new employment opportunities and expand your career opportunities. Such as: - Investigating Officer Intelligence Officer Investigative Support Assistant Crime Scene Investigator Certificates CPD Accredited Certificate Digital certificate - £10 CPD Accredited Certificate Hard copy certificate - £29 If you are an international student, then you have to pay an additional 10 GBP as an international delivery charge.