3583 Analyst courses in Cardiff delivered On Demand

Compass for Agility - Leveraging Agility for Business Problem-Solving Join Leila Rao as she introduces the Compass for Agility. This 90-day iterative approach is a pragmatic and personalized method, enabling organizations to build the capacity and culture for responding to challenges and opportunities. This provides a structure for organizations to explore what'ss working and what isnTt in their ecosystem to successfully and sustainably build the capability for continuous learning and improvement. The Compass helps with addressing "wicked" business problems set apart by one key variation: agile is the how, not the "why". Enhancing business agility is a fortunate by-product of directly resolving pain points because agile serves as the means, not the end. Empower your organization to orient itself by its unique needs and values so that you can continually create customized maps as you chart your own journey in volatile and uncertain terrains.

Inspiring The Human-Centered Organization - Three Laws of Business Agility In his keynote, Steve Denning will take you along on his journey in which he first encountered the success of the agile approach in software development and witnessed how this innovative method slowly but surely became the norm in many large multinationals. As Steve got more involved in the agile method, he and other members of the SD Learning Consortium set out on a quest to find out what is real agile, and what is fake? What was successful, and what was not? They found that what was needed is an Agile Mindset. It's a different way of looking at, thinking about, understanding and interacting with the world. In relation to this mindset, they identified what he calls the 'Three Business Laws of Agile'. During his presentation, Steve will explain these laws in depth, helping you to understand how you too can adopt this Agile Mindset yourself. This and other IIL Learning in Minutes presentations qualify for PDUs. Some titles, such as Agile-related topics may qualify for other continuing education credits such as SEUs, or CEUs. Each professional development activity yields one PDU for one hour spent engaged in the activity. Some limitations apply and can be found in the Ways to Earn PDUs section that discusses PDU activities and associated policies.

Agile at Tesla - The Misinformation That You Can't Apply Agile to Hardware What is it like to work in 3 hour sprints? How does any company deploy 27 changes per week in hardware, or more? What is a team size like when you are moving that fast? What about certification, and how does testing fit in such short sprints? Key Takeaways: Learn how increase speed, quality, and efficiency at the same time. Understand how to increase happiness, willingness, respect, and enthusiasm in engineering and manufacturing culture. Find out about Joes complete New Product Development and New Product Introduction outline for agile hardware

Overview This comprehensive course on Python for Data Analysis will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Python for Data Analysis 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 Python for Data Analysis. It is available to all students, of all academic backgrounds. Requirements Our Python for Data 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 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 19 sections • 99 lectures • 00:08:00 total length •Welcome & Course Overview: 00:07:00 •Set-up the Environment for the Course (lecture 1): 00:09:00 •Set-up the Environment for the Course (lecture 2): 00:25:00 •Two other options to setup environment: 00:04:00 •Python data types Part 1: 00:21:00 •Python Data Types Part 2: 00:15:00 •Loops, List Comprehension, Functions, Lambda Expression, Map and Filter (Part 1): 00:16:00 •Loops, List Comprehension, Functions, Lambda Expression, Map and Filter (Part 2): 00:20:00 •Python Essentials Exercises Overview: 00:02:00 •Python Essentials Exercises Solutions: 00:22:00 •What is Numpy? A brief introduction and installation instructions.: 00:03:00 •NumPy Essentials - NumPy arrays, built-in methods, array methods and attributes.: 00:28:00 •NumPy Essentials - Indexing, slicing, broadcasting & boolean masking: 00:26:00 •NumPy Essentials - Arithmetic Operations & Universal Functions: 00:07:00 •NumPy Essentials Exercises Overview: 00:02:00 •NumPy Essentials Exercises Solutions: 00:25:00 •What is pandas? A brief introduction and installation instructions.: 00:02:00 •Pandas Introduction: 00:02:00 •Pandas Essentials - Pandas Data Structures - Series: 00:20:00 •Pandas Essentials - Pandas Data Structures - DataFrame: 00:30:00 •Pandas Essentials - Handling Missing Data: 00:12:00 •Pandas Essentials - Data Wrangling - Combining, merging, joining: 00:20:00 •Pandas Essentials - Groupby: 00:10:00 •Pandas Essentials - Useful Methods and Operations: 00:26:00 •Pandas Essentials - Project 1 (Overview) Customer Purchases Data: 00:08:00 •Pandas Essentials - Project 1 (Solutions) Customer Purchases Data: 00:31:00 •Pandas Essentials - Project 2 (Overview) Chicago Payroll Data: 00:04:00 •Pandas Essentials - Project 2 (Solutions Part 1) Chicago Payroll Data: 00:18:00 •Matplotlib Essentials (Part 1) - Basic Plotting & Object Oriented Approach: 00:13:00 •Matplotlib Essentials (Part 2) - Basic Plotting & Object Oriented Approach: 00:22:00 •Matplotlib Essentials (Part 3) - Basic Plotting & Object Oriented Approach: 00:22:00 •Matplotlib Essentials - Exercises Overview: 00:06:00 •Matplotlib Essentials - Exercises Solutions: 00:21:00 •Seaborn - Introduction & Installation: 00:04:00 •Seaborn - Distribution Plots: 00:25:00 •Seaborn - Categorical Plots (Part 1): 00:21:00 •Seaborn - Categorical Plots (Part 2): 00:16:00 •Seborn-Axis Grids: 00:25:00 •Seaborn - Matrix Plots: 00:13:00 •Seaborn - Regression Plots: 00:11:00 •Seaborn - Controlling Figure Aesthetics: 00:10:00 •Seaborn - Exercises Overview: 00:04:00 •Seaborn - Exercise Solutions: 00:19:00 •Pandas Built-in Data Visualization: 00:34:00 •Pandas Data Visualization Exercises Overview: 00:03:00 •Panda Data Visualization Exercises Solutions: 00:13:00 •Plotly & Cufflinks - Interactive & Geographical Plotting (Part 1): 00:19:00 •Plotly & Cufflinks - Interactive & Geographical Plotting (Part 2): 00:14:00 •Plotly & Cufflinks - Interactive & Geographical Plotting Exercises (Overview): 00:11:00 •Plotly & Cufflinks - Interactive & Geographical Plotting Exercises (Solutions): 00:37:00 •Project 1 - Oil vs Banks Stock Price during recession (Overview): 00:15:00 •Project 1 - Oil vs Banks Stock Price during recession (Solutions Part 1): 00:18:00 •Project 1 - Oil vs Banks Stock Price during recession (Solutions Part 2): 00:18:00 •Project 1 - Oil vs Banks Stock Price during recession (Solutions Part 3): 00:17:00 •Project 2 (Optional) - Emergency Calls from Montgomery County, PA (Overview): 00:03:00 •Introduction to ML - What, Why and Types..: 00:15:00 •Theory Lecture on Linear Regression Model, No Free Lunch, Bias Variance Tradeoff: 00:15:00 •scikit-learn - Linear Regression Model - Hands-on (Part 1): 00:17:00 •scikit-learn - Linear Regression Model Hands-on (Part 2): 00:19:00 •Good to know! How to save and load your trained Machine Learning Model!: 00:01:00 •scikit-learn - Linear Regression Model (Insurance Data Project Overview): 00:08:00 •scikit-learn - Linear Regression Model (Insurance Data Project Solutions): 00:30:00 •Theory: Logistic Regression, conf. mat., TP, TN, Accuracy, Specificityetc.: 00:10:00 •scikit-learn - Logistic Regression Model - Hands-on (Part 1): 00:17:00 •scikit-learn - Logistic Regression Model - Hands-on (Part 2): 00:20:00 •scikit-learn - Logistic Regression Model - Hands-on (Part 3): 00:11:00 •scikit-learn - Logistic Regression Model - Hands-on (Project Overview): 00:05:00 •scikit-learn - Logistic Regression Model - Hands-on (Project Solutions): 00:15:00 •Theory: K Nearest Neighbors, Curse of dimensionality .: 00:08:00 •scikit-learn - K Nearest Neighbors - Hands-on: 00:25:00 •scikt-learn - K Nearest Neighbors (Project Overview): 00:04:00 •scikit-learn - K Nearest Neighbors (Project Solutions): 00:14:00 •Theory: D-Tree & Random Forests, splitting, Entropy, IG, Bootstrap, Bagging.: 00:18:00 •scikit-learn - Decision Tree and Random Forests - Hands-on (Part 1): 00:19:00 •scikit-learn - Decision Tree and Random Forests (Project Overview): 00:05:00 •scikit-learn - Decision Tree and Random Forests (Project Solutions): 00:15:00 •Support Vector Machines (SVMs) - (Theory Lecture): 00:07:00 •scikit-learn - Support Vector Machines - Hands-on (SVMs): 00:30:00 •scikit-learn - Support Vector Machines (Project 1 Overview): 00:07:00 •scikit-learn - Support Vector Machines (Project 1 Solutions): 00:20:00 •scikit-learn - Support Vector Machines (Optional Project 2 - Overview): 00:02:00 •Theory: K Means Clustering, Elbow method ..: 00:11:00 •scikit-learn - K Means Clustering - Hands-on: 00:23:00 •scikit-learn - K Means Clustering (Project Overview): 00:07:00 •scikit-learn - K Means Clustering (Project Solutions): 00:22:00 •Theory: Principal Component Analysis (PCA): 00:09:00 •scikit-learn - Principal Component Analysis (PCA) - Hands-on: 00:22:00 •scikit-learn - Principal Component Analysis (PCA) - (Project Overview): 00:02:00 •scikit-learn - Principal Component Analysis (PCA) - (Project Solutions): 00:17:00 •Theory: Recommender Systems their Types and Importance: 00:06:00 •Python for Recommender Systems - Hands-on (Part 1): 00:18:00 •Python for Recommender Systems - - Hands-on (Part 2): 00:19:00 •Natural Language Processing (NLP) - (Theory Lecture): 00:13:00 •NLTK - NLP-Challenges, Data Sources, Data Processing ..: 00:13:00 •NLTK - Feature Engineering and Text Preprocessing in Natural Language Processing: 00:19:00 •NLTK - NLP - Tokenization, Text Normalization, Vectorization, BoW.: 00:19:00 •NLTK - BoW, TF-IDF, Machine Learning, Training & Evaluation, Naive Bayes : 00:13:00 •NLTK - NLP - Pipeline feature to assemble several steps for cross-validation: 00:09:00 •Resources- Python for Data Analysis: 00:00:00

Money talks—and in this Finance & Investment Course, it actually makes sense. Whether you're someone who reads the financial pages for fun or someone who still confuses stocks with socks, this course is tailored to give you a clearer understanding of how money works, grows, and flows. From basic budgeting and personal finance principles to the strategic side of investing, we break down the world of finance without turning it into a sleep-inducing spreadsheet session. It’s structured for those who want to make sharper financial choices, without needing a maths degree or a tie. The Finance & Investment Course also explores investment strategies, market movements, risk factors, and portfolio planning—minus the waffle. You’ll gain insights into stocks, bonds, funds, and more, in plain English. There’s no need to dress up for class or fight traffic to a lecture hall—everything is online, smartly written, and designed to suit your pace. If you’ve ever wondered where your money goes, or better yet, how to make it go further, this is your chance to learn with confidence and a few light chuckles along the way. Learning Outcomes By the end of the course, learners will be able to: Gain a thorough understanding of the financial industry and financial concepts Know the roles and responsibilities and gain the skills required to become a financial advisor Know how private wealth management is different from wealth management Learn about financial risks, financial risk management and the process of managing financial risks Gain in-depth knowledge on financial planning, its importance and objectives Become familiar with divorce financial planning, how to divide the money and property from splitting divorce costs and settlements Understand the basic principles of investing and how to build an investment portfolio Find out about Google Analytics, its features and uses Key Features of this Course : Instant e-certificate and hard copy dispatch by next working day Fully online, interactive course with audio voiceover Developed by professionals in the field Self-paced learning and laptop, tablet, smartphone-friendly 24/7 Learning Assistance Discounts on bulk purchases *** Additional Gifts *** Free Life coaching Course *** (Offer Ends Soon) *** Course Curriculum The detailed curriculum outline of our Finance & Investment course is as follows: ***Finance & Investment*** Module 01: Introduction to Finance Module 02: Essential Skill for Financial Advisor Module 03: Financial Planning Module 04: Wealth Management and Guide to Make Personal Financial Statements Module 05: Financial Risk Management and Assessment Module 06: Investment Planning Module 07: Divorce Planning Module 08: Google Analytics for Financial Advisors Accreditation All of our courses, including this course, are fully accredited, providing you with up-to-date skills and knowledge and helping you to become more competent and effective in your chosen field. Certification Once you've successfully completed your course, you will immediately be sent a digital certificate. Also, you can have your printed certificate delivered by post (shipping cost £3.99). Our certifications have no expiry dates, although we do recommend that you renew them every 12 months. Assessment At the end of the course, there will be an online assessment, which you will need to pass to complete the course. Answers are marked instantly and automatically, allowing you to know straight away whether you have passed. If you haven't, there's no limit on the number of times you can take the final exam. All this is included in the one-time fee you paid for the course itself. Who is this course for? Anyone with a knack for learning new skills can take this course. While this comprehensive training is popular for preparing people for job opportunities in the relevant fields, it also helps to advance your career for promotions. Certificates Certificate of completion Digital certificate - Included Certificate of completion Hard copy certificate - Included You will get the hard copy certificates for Free! The delivery charge of the hard copy certificate inside the UK is £3.99 each.

Overview This comprehensive course on Clinical Data Analysis with SAS will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Clinical Data Analysis with SAS 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 Clinical Data Analysis with SAS. It is available to all students, of all academic backgrounds. Requirements Our Clinical Data Analysis with SAS 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 5 sections • 30 lectures • 01:54:00 total length •Course Promo: 00:01:00 •1.1 Components of the Pharma Industry: 00:05:00 •1.2 Phases of Clinical Trials: 00:06:00 •1.3 Data and Reports in Clinical Trials: 00:04:00 •1.4 Types of Data: 00:05:00 •2.1 Clinical Study Protocol: 00:02:00 •2.2 Ethical Consent: 00:01:00 •2.3 Inclusion-Exclusion Criteria: 00:01:00 •2.4 Statistical Analysis Plan: SAP, Mockshell and CRF: 00:04:00 •3.1 General SAS Programming Steps: 00:02:00 •3.2 One Search Report: Demographics Table: 00:04:00 •3.3 Understanding the Demographics Table: 00:03:00 •3.4 Programming the Demographics Table: 00:05:00 •3.5 Importing Raw Demographic Data into the SAS: 00:04:00 •3.6 Deciding what Procedure to Use: 00:02:00 •3.7 Deriving the AGE variable: 00:10:00 •3.8 Obtaining Summary Statistics for AGE: 00:04:00 •3.9 Adding the 3rd Treatment Group using Explicit Output: 00:05:00 •3.10 Deriving the SEX variable: 00:03:00 •3.11 Obtaining Summary Statistics for SEX: 00:03:00 •3.12 Concatenating the COUNT and PERCENT Variables: 00:03:00 •3.13 Deriving the RACE Variable: 00:03:00 •3.14 Obtaining Summary Statistics for RACE: 00:03:00 •3.15 Stacking All the 3 Summary Statistics Together: 00:06:00 •3.16 Fixing the Precision Points: 00:04:00 •3.17 Transposing Data: 00:03:00 •3.18 Fixing the Order of Statistical Parameters: 00:05:00 •3.19 Building the Final Report: 00:02:00 •3.20 Putting the Final Touches to the Report: 00:11:00 •Resources - Clinical Data Analysis with SAS: 00:00:00

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Overview This comprehensive course on Data Analysis and Forecasting in Excel will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Data Analysis and Forecasting in Excel 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 Data Analysis and Forecasting in Excel. It is available to all students, of all academic backgrounds. Requirements Our Data Analysis and Forecasting in Excel 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 10 sections • 31 lectures • 04:43:00 total length •Insert, Delete, and Adjust Cells, Columns, and Rows: 00:10:00 •Search for and Replace Data: 00:09:00 •Use Proofing and Research Tools: 00:07:00 •Sort Data: 00:10:00 •Filter Data: 00:10:00 •Query Data with Database Functions: 00:09:00 •Outline and Subtotal Data: 00:09:00 •Apply Intermediate Conditional Formatting: 00:07:00 •Apply Advanced Conditional Formatting: 00:05:00 •Create Charts: 00:13:00 •Modify and Format Charts: 00:12:00 •Use Advanced Chart Features: 00:12:00 •Create a PivotTable: 00:13:00 •Analyze PivotTable Data: 00:12:00 •Present Data with PivotCharts: 00:07:00 •Filter Data by Using Timelines and Slicers: 00:11:00 •Use Links and External References: 00:12:00 •Use 3-D References: 00:06:00 •Consolidate Data: 00:05:00 •Use Lookup Functions: 00:12:00 •Trace Cells: 00:09:00 •Watch and Evaluate Formulas: 00:08:00 •Apply Data Validation: 00:13:00 •Search for Invalid Data and Formulas with Errors: 00:04:00 •Work with Macros: 00:18:00 •Create Sparklines: 00:07:00 •MapData: 00:07:00 •Determine Potential Outcomes Using Data Tables: 00:08:00 •Determine Potential Outcomes Using Scenarios: 00:09:00 •Use the Goal Seek Feature: 00:04:00 •Forecasting Data Trends: 00:05:00

Overview This comprehensive course on Excel Data Analysis for Beginner will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Excel Data Analysis for Beginner 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 Excel Data Analysis for Beginner. It is available to all students, of all academic backgrounds. Requirements Our Excel Data Analysis for Beginner 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 3 sections • 11 lectures • 01:11:00 total length •Tracing Formulas: 00:04:00 •Using the Scenario Manager: 00:07:00 •Goal Seek: 00:03:00 •Solver: 00:03:00 •Data Tables: 00:11:00 •Data Analysis Tools: 00:16:00 •Forecast Sheet: 00:02:00 •Sumif, Countif,Averageif, Sumifs, and Countifs formulas: 00:09:00 •If, And, Or, and Nested If formulas: 00:16:00 •Resource - Excel Data Analysis for Beginner: 00:00:00 •Assignment - Excel Data Analysis for Beginner: 00:00:00

Untapped Agility - 3 Leadership Moves to Transform Your Transformation Agile transformations are supposed to make organizations modern. competitive. and relevant. But in the well-intentioned effort to move into the future. change leaders find themselves frustrated by pushback. limited impact. poor practices. and unfair criticism. What's going on?This breakthrough presentation cuts through the 'quick fix' hype of agile theory and explains a recurring transformational pattern that unpacks what holds organizations back: The BOOST is the initial gains from logical first steps; the BARRIER is the unavoidable roadblock that must come next; the ReBOUND is the way forward to further gains by leaning against the concept of the original boost. With these counter-intuitive rebounds in mind. this energetic talk explores three leadership moves that can be used to unblock stalled agile transformations.No. your transformation is not a failure. It turns out the buy-in. the talent. the alignment. and the growth you need to break through are already in front of you; it's all simply hidden under the surface. Undiscovered. Unutilized. Untapped. What you will Learn Key Takeaways: How labelling agile anti-patterns actually impedes the journey How to take the next step past a transformation barrier How to reframe transformation barriers into adjustments