664 Business Analytics & Intelligence courses delivered Online

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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 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.

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.

Overview: Visualizing Data: Designing Informative Graphics   Welcome to 'Visualizing Data: Designing Informative Graphics,' a comprehensive course designed to equip you with the skills needed to create compelling and informative visualizations from raw data. In today's data-driven world, the ability to effectively communicate insights through visualizations is crucial for professionals across various industries.   Module 1: Introduction to Data Visualization In this module, you'll embark on your journey into the world of data visualization. Understand the importance of data visualization, its applications, and the fundamental principles behind creating impactful visuals.   Module 2: Choosing the Right Visualization Types Discover the diverse range of visualization types available and learn how to select the most suitable ones for different data sets and objectives. Gain insights into when to use bar charts, line graphs, scatter plots, and more.   Module 3: Data Preparation and Cleaning Master the art of preparing and cleaning data for visualization. Learn essential techniques to ensure data accuracy, completeness, and consistency, laying a solid foundation for effective visualization creation.   Module 4: Design Principles for Effective Visualizations Unlock the secrets of designing visually appealing and informative graphics. Explore principles such as color theory, typography, layout, and visual hierarchy to create engaging and user-friendly visualizations.   Module 5: Basic Charts and Graphs Dive into the world of basic charts and graphs, including bar charts, pie charts, histograms, and line graphs. Understand how to construct these fundamental visualizations accurately to convey your message effectively.   Module 6: Advanced Charts and Graphs Take your visualization skills to the next level with advanced chart types such as heatmaps, treemaps, and network diagrams. Explore complex data structures and learn to visualize them in a clear and intuitive manner.   By the end of this course, you'll have the knowledge and confidence to transform raw data into visually compelling stories that drive understanding and decision-making. Whether you're a data analyst, business professional, or aspiring data visualization expert, 'Visualizing Data: Designing Informative Graphics' is your gateway to mastering the art of data visualization. Don't miss out on this opportunity to elevate your skills and make a lasting impact with your data presentations. Enroll now and embark on your journey towards becoming a proficient data visualization practitioner! Course Curriculum Module 1_ Introduction to Data Visualization Introduction to Data Visualization 00:00 Module 2_ Choosing the Right Visualization Types Choosing the Right Visualization Types 00:00 Module 3_ Data Preparation and Cleaning Data Preparation and Cleaning 00:00 Module 4_ Design Principles for Effective Visualizations Design Principles for Effective Visualizations 00:00 Module 5_ Basic Charts and Graphs Basic Charts and Graphs 00:00 Module 6_ Advanced Charts and Graphs Advanced Charts and Graphs 00:00

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.

Dive into the numbers that shape today’s business decisions with our Learn Financial Analytics and Statistical Tools Course. This online course is designed to help you explore financial patterns, trends, and performance indicators using statistical techniques. Whether you're assessing company performance or examining market behaviour, this course sharpens your analytical thinking and equips you with tools commonly used in financial reporting, forecasting, and data-driven decision-making. You'll explore concepts such as regression, time series analysis, risk modelling, and data interpretation—without needing a maths degree or a calculator the size of a dinner plate. Ideal for finance professionals, analysts, business students, or anyone curious about what the numbers really mean, this course brings clarity to the complex. Learn at your pace, from wherever you are, and give your understanding of financial data the polish it deserves—minus the jargon and dry lectures. Learning Outcomes: Understand the fundamentals of statistical tools and their applications in finance. Analyze financial data using statistical tools such as trimmed mean, geometric mean, and standard deviation. Interpret financial data with a deeper understanding of concepts such as mode, max and min value, and exponential absolute and log. Apply statistical tools to real-world financial scenarios for effective decision-making. Utilize Excel functions such as Sum Product and Sum If for financial analysis. "Learn Financial Analytics and Statistical Tools" is a comprehensive course bundle that equips learners with the knowledge and skills necessary to navigate the complex world of finance. This course covers a range of statistical tools, including trimmed mean, geometric mean, standard deviation, mode, max and min value, and exponential absolute and log. Through real-world examples and Excel functions, learners will develop the ability to analyze and interpret financial data, making effective decisions with confidence. This course bundle is ideal for anyone looking to advance their career in finance, accounting, or data analysis, or those who simply want to gain a deeper understanding of statistical tools and their applications in finance. ⊱⊱ Learn Financial Analytics and Statistical Tools Course Curriculum Section 01: Introduction Introduction to Statistical Tool Section 02: Getting Started Statistical Tool Trimmed Mean Geometric Mean What is Mode Max and Min Value Standard Deviation Sum Product and Sum If Exponential Absolute and Log Section 03: Example Example 1 Example 2 Example 3 Example 4 How is the course assessed? Upon completing an online module, you will immediately be given access to a specifically crafted MCQ test. For each test, the pass mark will be set to 60%. Exam & Retakes: It is to inform our learners that the initial exam for this online course is provided at no additional cost. In the event of needing a retake, a nominal fee of £9.99 will be applicable. Certification Upon successful completion of the assessment procedure, learners can obtain their certification by placing an order and remitting a fee of £9 for PDF Certificate and £15 for the Hardcopy Certificate within the UK ( An additional £10 postal charge will be applicable for international delivery). CPD 10 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Finance professionals looking to enhance their data analysis skills. Accounting professionals seeking to gain a deeper understanding of financial data. Data analysts interested in applying statistical tools to financial data. Business owners and entrepreneurs seeking to make informed financial decisions. Students and individuals looking to develop a valuable skill set in finance and data analysis. Requirements There are no formal entry requirements for the course, with enrollment open to anyone! Career path Financial Analyst: £25,000 - £70,000 Data Analyst: £24,000 - £60,000 Accountant: £20,000 - £50,000 Business Analyst: £25,000 - £65,000 Financial Manager: £30,000 - £100,000 Certificates Certificate of completion Digital certificate - £9 You can apply for a CPD Accredited PDF Certificate at the cost of £9. Certificate of completion Hard copy certificate - £15 Hard copy can be sent to you via post at the expense of £15.

Bring data to life with the D3.js data visualization library, and get up to speed with JavaScript, HTML, and CSS to build stunning data visuals

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