4079 Analyst courses in Downpatrick delivered Online

Overview This comprehensive course on Business Analystics for Beginners Using SASS will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Business Analystics for Beginners Using SASS 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 Business Analystics for Beginners Using SASS. It is available to all students, of all academic backgrounds. Requirements Our Business Analystics for Beginners Using SASS 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 13 sections • 73 lectures • 08:10:00 total length •SAS Introduction: 00:07:00 •Introduction to SAS Program: 00:05:00 •Read SAS Dataset: 00:09:00 •Practice Read Dataset: 00:08:00 •Practical Example on Read Dataset: 00:02:00 •Introduction to SAS Dataset: 00:12:00 •SAS Dataset Practical Example: 00:07:00 •SAS Dataset Practical Program: 00:06:00 •DateValue: 00:03:00 •SAS Formats Part 1: 00:13:00 •SAS Formats Part 2: 00:09:00 •Reading Excel Worksheets: 00:05:00 •Reading Excel Worksheet Example: 00:11:00 •Date Format Example: 00:06:00 •Raw Data File Standard Part 1: 00:09:00 •Raw Data File Standard Part 2: 00:08:00 •Raw Data File Standard Example: 00:06:00 •Raw Data File Non Standard: 00:07:00 •Raw Data File Non Standard Example: 00:06:00 •Length Statement: 00:02:00 •Compilation Execution: 00:04:00 •Heading: 00:01:00 •Dataerrors: 00:05:00 •Data Errorsz Example: 00:03:00 •Validate Data Procfreq: 00:05:00 •Validate Data Procpront: 00:07:00 •Validate Data Peocmeans: 00:05:00 •Dat Constant: 00:07:00 •Assignment Statement: 00:09:00 •If Then Statement: 00:09:00 •If Then Do End Statement: 00:09:00 •Diff Where and If Statement: 00:02:00 •Keep Drop: 00:08:00 •Keep Drop Example: 00:04:00 •Append: 00:09:00 •Append Examples part 1: 00:09:00 •Append Examples part 2: 00:07:00 •Concatenate: 00:12:00 •Merge: 00:06:00 •Merge One to One: 00:07:00 •Merge One to Many: 00:04:00 •Merge Non Match: 00:04:00 •Global Statements: 00:09:00 •Global Statements Examples Part 1: 00:08:00 •Global Statements Examples Part 2: 00:06:00 •Title n Foot Note: 00:05:00 •Title n Foot Note Example: 00:08:00 •By Statement: 00:08:00 •Multiple Where Stament: 00:03:00 •ODS: 00:07:00 •ODS Example: 00:04:00 •Sas Date Function: 00:10:00 •Sas Date Function Example: 00:08:00 •Sas Functions Part 1: 00:10:00 •Sas Functions Part 2: 00:08:00 •Sas Functions: 00:07:00 •Sas Functions Example Part 1: 00:07:00 •Sas Functions Example Part 2: 00:09:00 •Multiple SAS Datasets Part 1: 00:05:00 •Multiple SAS Datasets Part 2: 00:02:00 •Multiple SAS Datasets Example: 00:09:00 •Select Group: 00:09:00 •Select Group Example: 00:08:00 •Do Loop Part 1: 00:07:00 •Do Loop Part 2: 00:06:00 •Do Loop Example: 00:07:00 •Array Part 1: 00:05:00 •Array Part 2: 00:08:00 •Array DoLoop: 00:06:00 •ArrayTemp: 00:05:00 •Array Example: 00:10:00 •Sas Statement Part 1: 00:04:00 •Sas Statement Part 2: 00:05:00

Course Overview The Financial Engineering Courses – 8 Courses Bundle is a comprehensive training package designed to equip learners with a robust understanding of the mathematical, statistical, and analytical foundations of modern finance. This bundle merges core financial theories with quantitative models to support strategic financial decision-making. Learners will explore concepts ranging from derivatives pricing and risk modelling to portfolio optimisation and stochastic processes, gaining a solid foundation in the methodologies used in financial institutions and investment firms. By the end of the course, participants will be able to interpret financial models, assess risk frameworks, and contribute effectively to quantitative analysis roles. This course is particularly valuable for those aiming to strengthen their understanding of finance through an analytical lens, aligning with roles in investment banking, financial consultancy, or quantitative research. Course Description This course bundle offers eight interconnected modules covering a wide array of financial engineering topics. Learners will be introduced to financial mathematics, stochastic calculus, fixed income securities, options pricing, quantitative risk management, and algorithmic trading strategies. The programme provides an in-depth look into the mechanics of financial markets and the computational tools that underpin asset valuation and portfolio structuring. Through clear instruction and structured content, learners will build confidence in applying quantitative techniques and economic theory to real-world financial challenges. Emphasis is placed on theoretical rigour, analytical accuracy, and strategic application. Ideal for learners with a background or interest in finance, mathematics, or economics, this course supports a deeper understanding of financial markets and prepares participants for roles that require data-driven financial modelling and risk assessment skills. Course Modules Module 01: Introduction to Financial Engineering Module 02: Financial Mathematics and Modelling Techniques Module 03: Fixed Income Securities and Yield Curves Module 04: Derivatives and Options Pricing Theory Module 05: Quantitative Risk Management Fundamentals Module 06: Stochastic Processes in Finance Module 07: Portfolio Theory and Investment Analysis Module 08: Algorithmic and Computational Finance (See full curriculum) Bundle Instructions Access all eight courses through a single enrolment. Courses are self-paced and available online 24/7. Learners receive a certificate for each completed module. Support is available throughout the learning journey. Who is this course for? Individuals seeking to build a strong foundation in quantitative finance. Professionals aiming to advance their knowledge in financial modelling and analysis. Beginners with an interest in finance, mathematics, or data-driven investment theory. Graduates or career changers targeting roles in banking, analytics, or asset management. Career Path Quantitative Analyst Financial Risk Manager Investment Banking Analyst Asset or Portfolio Manager Financial Modelling Consultant Data Analyst in Financial Services Derivatives Pricing Specialist Economic Research Associate

Level 2 QLS Endorsed Diploma | 100 CPD Points | +Gifts: QLS Certificate + PDF Certificate | 24/7 Learner Support

Duration 5 Days 30 CPD hours This course is intended for The skills covered in this course converge on four areas-software development, IT operations, applied math and statistics, and business analysis. Target students for this course should be looking to build upon their knowledge of the data science process so that they can apply AI systems, particularly machine learning models, to business problems. So, the target student is likely a data science practitioner, software developer, or business analyst looking to expand their knowledge of machine learning algorithms and how they can help create intelligent decisionmaking products that bring value to the business. A typical student in this course should have several years of experience with computing technology, including some aptitude in computer programming. This course is also designed to assist students in preparing for the CertNexus Certified Artificial Intelligence (AI) Practitioner (Exam AIP-210) certification Overview In this course, you will develop AI solutions for business problems. You will: Solve a given business problem using AI and ML. Prepare data for use in machine learning. Train, evaluate, and tune a machine learning model. Build linear regression models. Build forecasting models. Build classification models using logistic regression and k -nearest neighbor. Build clustering models. Build classification and regression models using decision trees and random forests. Build classification and regression models using support-vector machines (SVMs). Build artificial neural networks for deep learning. Put machine learning models into operation using automated processes. Maintain machine learning pipelines and models while they are in production Artificial intelligence (AI) and machine learning (ML) have become essential parts of the toolset for many organizations. When used effectively, these tools provide actionable insights that drive critical decisions and enable organizations to create exciting, new, and innovative products and services. This course shows you how to apply various approaches and algorithms to solve business problems through AI and ML, all while following a methodical workflow for developing data-driven solutions. Solving Business Problems Using AI and ML Topic A: Identify AI and ML Solutions for Business Problems Topic B: Formulate a Machine Learning Problem Topic C: Select Approaches to Machine Learning Preparing Data Topic A: Collect Data Topic B: Transform Data Topic C: Engineer Features Topic D: Work with Unstructured Data Training, Evaluating, and Tuning a Machine Learning Model Topic A: Train a Machine Learning Model Topic B: Evaluate and Tune a Machine Learning Model Building Linear Regression Models Topic A: Build Regression Models Using Linear Algebra Topic B: Build Regularized Linear Regression Models Topic C: Build Iterative Linear Regression Models Building Forecasting Models Topic A: Build Univariate Time Series Models Topic B: Build Multivariate Time Series Models Building Classification Models Using Logistic Regression and k-Nearest Neighbor Topic A: Train Binary Classification Models Using Logistic Regression Topic B: Train Binary Classification Models Using k-Nearest Neighbor Topic C: Train Multi-Class Classification Models Topic D: Evaluate Classification Models Topic E: Tune Classification Models Building Clustering Models Topic A: Build k-Means Clustering Models Topic B: Build Hierarchical Clustering Models Building Decision Trees and Random Forests Topic A: Build Decision Tree Models Topic B: Build Random Forest Models Building Support-Vector Machines Topic A: Build SVM Models for Classification Topic B: Build SVM Models for Regression Building Artificial Neural Networks Topic A: Build Multi-Layer Perceptrons (MLP) Topic B: Build Convolutional Neural Networks (CNN) Topic C: Build Recurrent Neural Networks (RNN) Operationalizing Machine Learning Models Topic A: Deploy Machine Learning Models Topic B: Automate the Machine Learning Process with MLOps Topic C: Integrate Models into Machine Learning Systems Maintaining Machine Learning Operations Topic A: Secure Machine Learning Pipelines Topic B: Maintain Models in Production

General Data Protection Regulation (GDPR) with Cyber Security & IT Security Enrol in our GDPR training course to safeguard sensitive information from theft and misuse! Are you open to pursuing a career in the area of legislation that updated and standardised data privacy regulations across the European Union? Our GDPR training will outline the regulation's extensive effects. The knowledge and abilities required to oversee all parts of compliance will be developed with the aid of GDPR training. You can run your business more effectively once you have successfully completed the GDPR training. Additionally, GDPR training can help you advance within your present organisation or launch your business venture with the greatest likelihood of success. You'll learn about the new GDPR regulations for protecting personal information and the most important new developments in this GDPR training session. The duties of data controllers and processors are also included in GDPR training. With our GDPR Training, you will also receive instruction on how to handle sensitive personal data and data protection jargon. You will have knowledge of what is required of businesses in terms of handling data protection by the end of the GDPR Training. You may put into practice a GDPR compliance strategy for your company with the aid of GDPR training. Improve your professional opportunities for life by adding a certificate from a GDPR training course to your resume. Special Offers of this General Data Protection Regulation (GDPR) with Cyber Security & IT Security Course This General Data Protection Regulation (GDPR) with Cyber Security & IT Security Course includes a FREE PDF Certificate. Lifetime access to this General Data Protection Regulation (GDPR) with Cyber Security & IT Security Course Instant access to this General Data Protection Regulation (GDPR) with Cyber Security & IT Security Course Get FREE Tutor Support to this General Data Protection Regulation (GDPR) with Cyber Security & IT Security Course General Data Protection Regulation (GDPR) with Cyber Security & IT Security Unlock the power of GDPR compliance with our in-depth GDPR Training—your pathway to expertise in data privacy regulations across the European Union. This GDPR Training provides you with essential insights into the sweeping impact of GDPR on businesses, ensuring you gain the skills and knowledge to master every aspect of compliance. By completing our GDPR Training, you’ll be equipped to streamline operations, enhance data security, and drive your business forward. Whether you aim to excel in your current role or venture into a new business, our GDPR Training empowers you with tools for sustained success in data protection. Who is this course for? General Data Protection Regulation (GDPR) with Cyber Security & IT Security Anyone can take this GDPR Training who is really interested in learning about the GDPR industry and the accompanying topics, such as: Data Protection Advisor Data Manager Data Protection Officer Data Protection Analyst Cybersecurity Analyst Risk Analyst and Security Consultant Requirements General Data Protection Regulation (GDPR) with Cyber Security & IT Security To enrol in this General Data Protection Regulation (GDPR) with Cyber Security & IT Security Course, students must fulfil the following requirements. To join in our GDPR: GDPR Course, you must have a strong command of the English language. To successfully complete our GDPR: GDPR Course, you must be vivacious and self driven. To complete our GDPR: GDPR Course, you must have a basic understanding of computers. A minimum age limit of 15 is required to enrol in this GDPR: GDPR Course. Career path GDPR with Cyber Security & IT Security This GDPR Training course will open doors for you and point you in the direction of numerous employment options with lucrative salaries ranging from £21,000 to £100,000 annually. GDPR Manager, Data Manager, Data Protection Officer, Cyber Security Analyst, and other relevant jobs can be obtained with a GDPR Training certificate.

GDPR: GDPR Training Course Online Enrol in our GDPR: GDPR Training Course to safeguard sensitive information from theft and misuse! Are you open to pursuing a career in the area of legislation that updated and standardised data privacy regulations across the European Union? Our GDPR: GDPR Training Course will outline the regulation's extensive effects. The knowledge and abilities required to oversee all parts of compliance will be developed with the aid of GDPR training. You can run your business more effectively once you have successfully completed the GDPR training. Additionally, GDPR training can help you advance within your present organisation or launch your business venture with the greatest likelihood of success. You'll learn about the new GDPR: GDPR Training Course regulations for protecting personal information and the most important new developments in this GDPR training session. The duties of data controllers and processors are also included in GDPR training. With our GDPR Training, you will also receive instruction on how to handle sensitive personal data and data protection jargon. You will have knowledge of what is required of businesses in terms of handling data protection by the end of the GDPR Training. You may put into practice a GDPR compliance strategy for your company with the aid of GDPR training. Improve your professional opportunities for life by adding a certificate from a GDPR: GDPR Training Course to your resume. Main Course: GDPR Training Course Free Courses are including with this GDPR: GDPR Training Course Along with The GDPR: GDPR Training Course, We Offer a free UK Employment Law Course Along with The GDPR: GDPR Training Course, We Offer a free Data Protection Course Along with The GDPR: GDPR Training Course, We Offer a free Cyber Security TrainingCourse Special Offers of this GDPR: GDPR Training Course This GDPR Training Course includes a FREE PDF Certificate. Lifetime access to this GDPR Training Course Instant access to this GDPR Training Course Get FREE Tutor Support to this GDPR Training Course GDPR: GDPR Training Course Online In this GDPR: GDPR Training Course session, you will learn about the most significant new developments as well as the new regulations for protecting personal information. The GDPR: GDPR Training Course also covers the responsibilities of data controllers and processors. You will also learn how to handle sensitive personal data and data protection terminology with our GDPR: GDPR Training Course. By the end of the GDPR: GDPR Training Course, you will be aware of what is expected of businesses in terms of handling data protection. With the help of GDPR training, your business can implement a GDPR: GDPR Training Course compliance strategy. Who is this course for? GDPR: GDPR Training Course Online Anyone can take this GDPR Training who is really interested in learning about the GDPR industry and the accompanying topics, such as: Data Protection Advisor Data Manager Data Protection Officer Data Protection Analyst Cybersecurity Analyst Risk Analyst and Security Consultant Requirements GDPR: GDPR Training Course Online To enrol in this GDPR: GDPR Training Course, students must fulfil the following requirements. To join in our GDPR: GDPR Training Course, you must have a strong command of the English language. To successfully complete our GDPR: GDPR Training Course, you must be vivacious and self driven. To complete our GDPR: GDPR Training Course, you must have a basic understanding of computers. A minimum age limit of 15 is required to enrol in this GDPR: GDPR Training Course. Career path GDPR: GDPR Training Course Online This GDPR Training course will open doors for you and point you in the direction of numerous employment options with lucrative salaries ranging from £21,000 to £100,000 annually. GDPR Manager, Data Manager, Data Protection Officer, Cyber Security Analyst, and other relevant jobs can be obtained with a GDPR Training certificate.

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Excel: Top 50 Microsoft Excel Formulas in 50 Minutes! Course Overview "Excel: Top 50 Microsoft Excel Formulas in 50 Minutes!" is designed for learners who want to enhance their Excel skills in a short period. This course covers the essential formulas that are frequently used in both everyday tasks and professional settings. It provides quick, easy-to-follow insights on the most common Excel functions, enabling you to work more efficiently with data, improve productivity, and gain confidence in using Excel’s powerful features. By the end of this course, you will have a comprehensive understanding of 50 key Excel formulas and be able to apply them confidently across various tasks and scenarios. Course Description In this course, learners will be introduced to 50 of the most widely used Microsoft Excel formulas, including basic functions like SUM and AVERAGE, as well as more advanced formulas such as VLOOKUP, IF statements, and pivot table formulas. Each formula is explained with clear examples, offering learners a straightforward approach to improving their Excel proficiency. Whether you are managing data, performing financial analysis, or generating reports, these formulas will significantly enhance your ability to complete tasks faster and more effectively. With a focus on learning key formulas, this course provides an excellent foundation for anyone looking to optimise their Excel skills in a time-efficient way. Excel: Top 50 Microsoft Excel Formulas in 50 Minutes! Curriculum Module 01: Introduction to Excel Formulas Module 02: Basic Mathematical Formulas Module 03: Logical Functions and Conditions Module 04: Lookup and Reference Functions Module 05: Text and Date Functions Module 06: Statistical Functions and Analysis Module 07: Advanced Excel Formulas Module 08: Using Formulas for Data Validation and Error Checking Module 09: Formulas for Financial Modelling Module 10: Troubleshooting and Optimising Formulas (See full curriculum) Who is this course for? Individuals seeking to enhance their Excel capabilities. Professionals aiming to improve data management and analysis skills. Beginners with an interest in improving their productivity with Excel. Anyone wanting to quickly learn the key Excel formulas used in daily tasks. Career Path Data Analyst Financial Analyst Project Manager Business Analyst Office Administrator Operations Manager IT Support Specialist

Microsoft Power BI Training Course Overview: The Microsoft Power BI Training course is designed to equip learners with the knowledge and skills to use Power BI effectively for data analysis and reporting. This course covers the core features of Power BI, from data import and transformation to the creation of reports and visualizations. Learners will explore how to analyse data, generate insights, and create dynamic dashboards for reporting purposes. Whether you are looking to improve your analytical skills or advance your career, this course provides the foundation needed to become proficient in using Power BI for various data analysis tasks. By the end of the course, learners will be able to handle large data sets, create compelling visual reports, and make data-driven decisions. Course Description: This comprehensive Microsoft Power BI course delves into the essential components of the Power BI platform. Learners will start by exploring how to import and work with data, before progressing to designing reports and visualizations. The course includes an in-depth look at the various types of visualizations available, enabling learners to display data in an intuitive, easy-to-understand format. Additionally, learners will explore the Power BI Web App to access and share their reports online. As they move through the course, participants will gain valuable skills in data transformation, reporting, and visualization, all of which are applicable to industries requiring data-driven decision-making. By completing this course, learners will have a solid understanding of Power BI and the ability to create impactful reports and dashboards for business or personal use. Microsoft Power BI Training Curriculum: Module 01: Getting Started Module 02: Working with Data Module 03: Working with Reports and Visualizations Module 04: A Closer Look at Visualizations Module 05: Introduction to the Power BI Web App (See full curriculum) Who is this course for? Individuals seeking to understand Power BI and data analysis. Professionals aiming to enhance their data reporting skills. Beginners with an interest in business intelligence and data analytics. Anyone looking to improve their ability to visualise data for better decision-making. Career Path: Data Analyst Business Intelligence Analyst Reporting Specialist Data Visualisation Specialist Business Analyst

Create Animations Using Flourish Studio Course Overview "Create Animations Using Flourish Studio" is designed to teach learners how to create dynamic, engaging animations using Flourish Studio, a powerful visualisation tool. This course covers everything from understanding the interface to building complex, interactive visualisations that can bring data to life. Through step-by-step instructions, learners will develop the skills necessary to enhance presentations, reports, and projects with professional-quality animations. By the end of the course, participants will be able to confidently use Flourish Studio to create visually compelling animations that are tailored to their specific data and narrative needs. This course is suitable for those looking to boost their visual communication skills and make an impact in data presentation. Course Description This course delves into the various capabilities of Flourish Studio, focusing on both its basic and advanced features. Learners will start by exploring the interface and learning how to work with different templates. The course then covers key areas such as importing and managing data, creating animations, and customising visualisations from scratch. In addition to mastering specific templates, participants will also learn how to craft a compelling data story and explore Flourish's other unique features. By the end of the course, learners will have the knowledge and skills to create engaging animations that effectively communicate data insights. Resources and tips for continued development will also be provided, ensuring that learners can keep building on their newfound expertise. Create Animations Using Flourish Studio Curriculum Module 01: Introduction to Flourish Studio Module 02: Getting Started with Flourish Module 03: Adding and Managing Data in Flourish Templates Module 04: Creating Visualisations in Flourish Studio from Scratch Module 05: More Visualisation Templates in Flourish Studio Module 06: Creating a Story and Other Options Module 07: Other Exciting and Important Features Module 08: Data Visualisation Tips & Resources Module 09: Congratulations (See full curriculum) Who is this course for? Individuals seeking to enhance their data presentation skills. Professionals aiming to improve their visual communication abilities. Beginners with an interest in data visualisation or animation. Anyone involved in creating impactful presentations or reports. Career Path Data Visualisation Specialist Marketing Analyst Data Storyteller Presentation Designer Business Intelligence Analyst Marketing Manager Data Analyst