657 Business Analytics & Intelligence courses in Banstead delivered Online

Course Overview: According to the World Economic Forum, data analysts will be among the most in-demand professions by 2025. This Basic Google Data Studio course takes you on an enlightening journey, illuminating the intricate world of Google Data Studio from the ground up.The Basic Google Data Studio course is your stepping stone into data visualisation, geo-visualization, and in-depth socio-economic analysis. With four comprehensive modules, this curriculum is crafted to impart the foundational principles and techniques of Google Data Studio, ensuring learners possess the proficiency to translate raw data into meaningful insights.Enrol Today and Start Learning! Key Features of the Course: The Basic Google Data Studio course boasts an array of appealing features, including a CPD certificate upon completion, marking your journey into mastering Google Data Studio. 24/7 Learning Assistance ensures you can absorb the course material at your own pace, whenever it suits you best. Expect exciting learning materials that make mastering data visualisation a stimulating and enjoyable endeavour. Who is This Course For? This Basic Google Data Studio course is designed for anyone inclined towards data and interested in visual storytelling. Whether you're a business owner looking to make informed decisions, a student eyeing a future in data analysis, or a data enthusiast, this course could be the perfect fit. What You Will Learn: Introduction to Google Data Studio and its features. Navigation and interface overview of Google Data Studio. Creating reports using different data sources. Converting data into visually appealing graphs and charts. Exploring geographic data visualisation techniques. Uncovering hidden geographic trends through data visualisation. Applying the learned skills to real-world socio-economic case studies. Why Enrol in This Course: This Basic Google Data Studio course consistently receives top reviews from its participants. Recently updated with the latest trends and practices in data visualisation, this course ensures you stay on top of industry shifts. By enrolling in this course, you will develop indispensable skills in data analysis and visual storytelling. Requirements: This course requires a fundamental understanding of data analysis concepts. Internet access is required to practise Google Data Studio and access course materials. Career Path: Upon completing this Basic Google Data Studio course, you can look forward to opportunities in various data-focused professions. Such as Data Analyst Business Intelligence Developer Marketing Analyst SEO Specialist Data Scientist Data Visualisation Specialist Report Analyst In the UK, these roles offer attractive salary packages ranging from £25,000 for entry-level positions to over £60,000+ for more advanced roles. Certification: Upon successful completion of the Basic Google Data Studio course, you will be awarded a CPD certificate as proof of your proficiency in Google Data Studio. Course Curriculum 1 sections • 4 lectures • 02:41:00 total length •Module 01: Introduction to GDS: 00:36:00 •Module 02: Data Visualization: 01:29:00 •Module 03: Geo-visualization: 00:16:00 •Module 04: A Socio-Economic Case Study: 00:20:00

Overview This comprehensive course on Statistical Analysis will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Statistical Analysis 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? At the end of the course there will be an online written test, which you can take either during or after the course. After successfully completing the test you will be able to order your certificate, these are included in the price. Who is This course for? There is no experience or previous qualifications required for enrolment on this Statistical Analysis. It is available to all students, of all academic backgrounds. Requirements Our Statistical Analysis is fully compatible with PC's, Mac's, Laptop, Tablet and Smartphone devices. This course has been designed to be fully compatible with tablets and smartphones so you can access your course on Wi-Fi, 3G or 4G. There is no time limit for completing this course, it can be studied in your own time at your own pace. Career Path 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 14 sections • 16 lectures • 06:28:00 total length •The Realm Of Statistics: 00:26:00 •Basic Statistical Terms: 00:41:00 •The Center of the Data: 00:07:00 •Data Variability: 00:15:00 •Binomial and Normal Distributions: 00:14:00 •Binomial Probabilities Table: 00:14:00 •Z-Table: 00:04:00 •Introduction to Probability: 00:35:00 •Estimates and Intervals: 00:34:00 •Hypothesis Testing: 00:31:00 •Regression Analysis: 00:11:00 •Algorithms, Analytics and Prediction: 00:47:00 •Learning From Experience: The Bayesian Way: 00:31:00 •Doing Statistics: The Wrong Way: 00:37:00 •How We Can Do Statistics Better: 00:41:00 •Assignment - Statistics Essentials: 00:00:00

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Duration 3 Days 18 CPD hours This course is intended for This course is aimed at anyone who wants to harness the power of data analytics in their organization. Overview After completing this course delegates will be capable of writing effective R code to manipulate, analyse and visualise data to enable their organisations make better, data-driven decisions. This course teaches delegates with no prior programming or data analytics experience how to perform data manipulation, data analysis and data visualisation in R. Course Outline Becoming a world class data analytics practitioner requires mastery of the most sophisticated data analytics tools. The R programming language is one of the most powerful and flexible tools in the data analytics toolkit. This course teaches delegates with no prior programming or data analytics experience how to perform data manipulation, data analysis and data visualisation in R. Mastery of these techniques will allow delegates to immediately add value in their work place by extracting valuable insight from company data to allow better, data-driven decisions. The course will explore the following topics through a series of interactive workshop sessions: What is R? Basic R programming conventions Data structures in R Accessing data in R Descriptive statistics in R Statistical analysis in R Data manipulation in R Data visualisation in R Additional course details: Nexus Humans Beginning Data Analytics With R training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the Beginning Data Analytics With R course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

Duration 3 Days 18 CPD hours This course is intended for This course is aimed at anyone who wants to harness the power of data analytics in their organization including: Business Analysts, Data Analysts, Reporting and BI professionals Analytics professionals and Data Scientists who would like to learn Python Overview This course teaches delegates with no prior programming or data analytics experience how to perform data manipulation, data analysis and data visualization in Python. Mastery of these techniques and how to apply them to business problems will allow delegates to immediately add value in their workplace by extracting valuable insight from company data to allow better, data-driven decisions. Outcome: After attending this course, delegates will: Be able to write effective Python code Know how to access their data from a variety of sources using Python Know how to identify and fix data quality using Python Know how to manipulate data to create analysis ready data Know how to analyze and visualize data to drive data driven decisioning across your organization Becoming a world class data analytics practitioner requires mastery of the most sophisticated data analytics tools. These programming languages are some of the most powerful and flexible tools in the data analytics toolkit. From business questions to data analytics, and beyond For data analytics tasks to affect business decisions they must be driven by a business question. This section will formally outline how to move an analytics project through key phases of development from business question to business solution. Delegates will be able: to describe and understand the general analytics process. to describe and understand the different types of analytics can be used to derive data driven solutions to business to apply that knowledge to their business context Basic Python Programming Conventions This section will cover the basics of writing R programs. Topics covered will include: What is Python? Using Anaconda Writing Python programs Expressions and objects Functions and arguments Basic Python programming conventions Data Structures in Python This section will look at the basic data structures that Python uses and accessing data in Python. Topics covered will include: Vectors Arrays and matrices Factors Lists Data frames Loading .csv files into Python Connecting to External Data This section will look at loading data from other sources into Python. Topics covered will include: Loading .csv files into a pandas data frame Connecting to and loading data from a database into a panda data frame Data Manipulation in Python This section will look at how Python can be used to perform data manipulation operations to prepare datasets for analytics projects. Topics covered will include: Filtering data Deriving new fields Aggregating data Joining data sources Connecting to external data sources Descriptive Analytics and Basic Reporting in Python This section will explain how Python can be used to perform basic descriptive. Topics covered will include: Summary statistics Grouped summary statistics Using descriptive analytics to assess data quality Using descriptive analytics to created business report Using descriptive analytics to conduct exploratory analysis Statistical Analysis in Python This section will explain how Python can be used to created more interesting statistical analysis. Topics covered will include: Significance tests Correlation Linear regressions Using statistical output to create better business decisions. Data Visualisation in Python This section will explain how Python can be used to create effective charts and visualizations. Topics covered will include: Creating different chart types such as bar charts, box plots, histograms and line plots Formatting charts Best Practices Hints and Tips This section will go through some best practice considerations that should be adopted of you are applying Python in a business context.

Are you ready to embark on an enlightening journey of wisdom with the Data Analysis, Business Analysis & Data Science bundle, and pave your way to an enriched personal and professional future? If so, then Step into a world of knowledge with our course bundle - IT and Analytics: Data Analysis, Business Analysis & Data Science. Delve into eight immersive CPD Accredited courses, each a standalone course: Course 01: Basic Data Analysis Course 02: Google Data Studio: Data Analytics Course 03: RCA: Root Cause Analysis Course 04: Business Intelligence Analyst Course Course 05: Quick Data Science Approach from Scratch Course 06: IT Administration and Networking Course 07: CompTIA IT Fundamentals ITF+ (FCO-U61) Course 08: IT For Recruiters Traverse the vast landscapes of theory, unlocking new dimensions of understanding at every turn. Let the IT and Analytics: Data Analysis, Business Analysis & Data Science bundle illuminate your path to wisdom. The IT and Analytics: Data Analysis, Business Analysis & Data Science bundle offers a comprehensive exploration into a rich tapestry of vast knowledge across eight carefully curated courses. The journey is designed to enhance your understanding and critical thinking skills. Each course within the bundle provides a deep-dive into complex theories, principles, and frameworks, allowing you to delve into the nuances of the subject matter at your own pace. In the framework of the IT and Analytics: Data Analysis, Business Analysis & Data Science package, you are bestowed with complimentary PDF certificates for all the courses included in this bundle, all without any additional charge. Adorn yourself with the Data Analysis, Business Analysis & Data Science bundle, empowering you to traverse your career trajectory or personal growth journey with self-assurance. Register today and ignite the spark of your professional advancement! So, don't wait further and join the IT and Analytics: Data Analysis, Business Analysis & Data Science community today and let your voyage of discovery begin! Learning Outcomes: Attain a holistic understanding in the designated areas of study with the Data Analysis, Business Analysis & Data Science bundle. Establish robust bases across each course nestled within the Data Analysis, Business Analysis & Data Science bundle. Decipher intricate concepts through the articulate content of the Data Analysis, Business Analysis & Data Science bundle. Amplify your prowess in interpreting, scrutinising, and implementing theories. Procure the capacity to engage with the course material on an intellectual and profound level. Become proficient in the art of problem-solving across various disciplines. Stepping into the Data Analysis, Business Analysis & Data Science bundle is akin to entering a world overflowing with deep theoretical wisdom. Each course within this distinctive bundle is an individual journey, meticulously crafted to untangle the complex web of theories, principles, and frameworks. Learners are inspired to explore, question, and absorb, thus enhancing their understanding and honing their critical thinking skills. Each course invites a personal and profoundly enlightening interaction with knowledge. The Data Analysis, Business Analysis & Data Science bundle shines in its capacity to cater to a wide range of learning needs and lifestyles. It gives learners the freedom to learn at their own pace, forging a unique path of discovery. More than just an educational journey, the Data Analysis, Business Analysis & Data Science bundle fosters personal growth, enabling learners to skillfully navigate the complexities of the world. The Data Analysis, Business Analysis & Data Science bundle also illuminates the route to a rewarding career. The theoretical insight acquired through this bundle forms a strong foundation for various career opportunities, from academia and research to consultancy and programme management. The profound understanding fostered by the Data Analysis, Business Analysis & Data Science bundle allows learners to make meaningful contributions to their chosen fields. Embark on the Data Analysis, Business Analysis & Data Science journey and let knowledge guide you towards a brighter future. CPD 110 CPD hours / points Accredited by CPD Quality Standards Who is this course for? The target audience for the Data Analysis, Business Analysis & Data Science course is: Individuals keen on deepening their firm understanding in the respective fields. Students pursuing higher education looking for comprehensive theory modules. Professionals seeking to refresh or enhance their knowledge. Anyone with a thirst for knowledge and a passion for continuous learning. Requirements Without any formal requirements, you can delightfully enrol in this IT and Analytics: Data Analysis, Business Analysis & Data Science course. Career path The aim of this exclusive Anaphylaxis: Allergy Awareness course is to help you toward your dream career. So, complete this course and enhance your skills to explore opportunities in relevant areas. Certificates CPD Accredited Certificate Digital certificate - Included CPD Hardcopy Certificate (FREE UK Delivery) Hard copy certificate - £9.99 Hardcopy Transcript - 9.99

This course has been specifically designed to assist professionals applying for Real Estate positions where a Real Estate Financial Modelling test is a requisite part of the interview process.

Welcome to this comprehensive video course on project finance, where we will delve into various aspects of transactions eligible for project finance. Throughout this course, we will explore real-world examples and dive deep into a captivating case study on Express Fiji. We will guide you through building a comprehensive balance sheet, incorporating all relevant assets, liabilities, and equity components.

Overview Gain efficient budget analysis skills and enhance the financial processing of your business by taking the all-inclusive Budget Analysis and Financial Reports Diploma course.This Budget Analysis and Financial Reports Diploma course aims to provide you with all the in-demand skills of a finance manager to make you an expert in budget analysis and financial reports. You'll learn about finance and budget planning fundamentals, comparing investment opportunities, ISO 9001:2008, and many more. By completing the expert-instructed course, you'll gain excellence in managing and monitoring budget reports, taking with you top budget approving tactics. Expand your business with no financial issues by enrolling 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? There is no experience or previous qualifications required for enrolment on this Budget Analysis and Financial Reports Diploma. It is available to all students, of all academic backgrounds. Requirements Our Budget Analysis and Financial Reports Diploma 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 3 sections • 23 lectures • 10:00:00 total length •Module One - Getting Started: 00:15:00 •Module Two - Glossary: 00:30:00 •Module Three - Understanding Financial Statements: 00:30:00 •Module Four - Analyzing Financial Statements (I): 01:00:00 •Module Five - Analyzing Financial Statements (II): 00:30:00 •Module Six - Understanding Budgets: 00:30:00 •Module Seven - Budgeting Made Easy: 00:30:00 •Module Eight - Advanced Forecasting Techniques: 00:30:00 •Module Nine - Managing the Budget: 00:30:00 •Module Ten - Making Smart Purchasing Decisions: 01:00:00 •Module Eleven - A Glimpse into the Legal World: 01:00:00 •Finance Jeopardy: 00:15:00 •The Fundamentals of Finance: 00:15:00 •The Basics of Budgeting: 00:15:00 •Parts of a Budget: 00:15:00 •The Budgeting Process: 00:15:00 •Budgeting Tips and Tricks: 00:15:00 •Monitoring and Managing Budgets: 00:15:00 •Crunching the Numbers: 00:15:00 •Getting Your Budget Approved: 00:15:00 •Comparing Investment Opportunities: 00:15:00 •ISO 9001:2008: 00:15:00 •Directing the Peerless Data Corporation: 00:30:00

Overview This comprehensive course on Process Mapping : Toolkit will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Process Mapping : Toolkit 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 Process Mapping : Toolkit. It is available to all students, of all academic backgrounds. Requirements Our Process Mapping : Toolkit 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 5 sections • 21 lectures • 01:12:00 total length •Introduction: 00:01:00 •What is the purpose of this course?: 00:02:00 •What is Lean Six Sigma?: 00:03:00 •DMAIC: 00:04:00 •What are the benefits of LSS & the toolkit?: 00:02:00 •Scenario to be used to explore the tools: 00:02:00 •Introduction to process mapping: 00:03:00 •Swim Lane: 00:04:00 •Swim Lane: Demonstration: 00:07:00 •Value Stream Map: 00:05:00 •Value Stream Map: Demonstration: 00:07:00 •SIPOC: 00:03:00 •SIPOC: Demonstration: 00:04:00 •Time Value Map: 00:03:00 •Time Value Map: Demonstration: 00:03:00 •Value Add Chart: 00:04:00 •Value Add Chart: Demonstration@@: 00:02:00 •Spaghetti Diagram: 00:04:00 •Spaghetti Diagram: Demonstration: 00:05:00 •Close out: 00:04:00 •Assignment - Process Mapping: Toolkit: 00:00:00