4125 Analyst courses

Introduction to Agile for Executives This session provides executives with an overview of Agile values and principles, the key benefits of an Agile approach, and its differences with the traditional Waterfall method. During the session, we compare and contrast the major Agile methods, with an emphasis on Scrum, as the most popular in the market. And most importantly, we present some criteria for Agile Transformation, possible certifications to pursue, and what is needed at the senior leadership level to achieve the best business results. What you will Learn At the end of this program, you will be able to: Explain the basics and benefits of using an Agile approach Describe the Scrum framework, its events, artifacts, and roles and responsibilities Illustrate an Agile approach outside of Software Development Define Scaled Agile Determine how to support an Agile transformation for your organization Getting Started Introduction Course structure Course goals and objectives Agile Introduction What is Agile? Agile benefits Agile myths and realities Overview of Agile Methods Overview of Agile methods Scrum method Lean and Kanban methods Criteria and certifications What Executives Need to Know About Agile Agile is not just for IT Agile can be scaled Agile transformation needs your support Summary and Next Steps Review Personal Action Plan

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.

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

Fashion Stylist Fundamentals is a comprehensive theoretical course designed to introduce you to the essential aspects of fashion styling. Starting with an overview of the fashion stylist's role, this course explores the core elements of styling, from fabric selection to conceptual creativity.

The course begins with an overview of fraud, providing a solid foundation for understanding the different types of fraudulent activities that can undermine financial stability and organisational integrity.

A course by Sekhar Metla IT Industry Expert RequirementsNo prior technical experience is required! All you need a computer!No SQL experience needed. You will learn everything you need to knowNo software is required in advance of the course (all software used in the course is free) Audience Beginner SQL, Data Science and Analytics - developers curious about SQL Career Anyone who wants to generate new income streams Anyone who works with data analytics, or databases! Anyone who wants to become Business intelligence developer Anyone who wants to start their own business or become freelance Anyone who wants to become a Data Science developer If you work in: marketing, finance, accounting, operations, sales, manufacturing, healthcare, financial services, or any other industry/function that collects information Someone who wants to learn skills that give them the potential to earn near SIX figures! Audience Beginner SQL, Data Science and Analytics - developers curious about SQL Career Anyone who wants to generate new income streams Anyone who works with data analytics, or databases! Anyone who wants to become Business intelligence developer Anyone who wants to start their own business or become freelance Anyone who wants to become a Data Science developer If you work in: marketing, finance, accounting, operations, sales, manufacturing, healthcare, financial services, or any other industry/function that collects information Someone who wants to learn skills that give them the potential to earn near SIX figures!

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

Introduction to Agile and Scrum: In-House Training This half-day course provides an overview of Agile principles and mindset, and the Scrum framework as a key Agile approach. It will provide you with the key benefits of an Agile approach, and its differences with the traditional Waterfall method. Lastly, as Agile is looked upon more frequently as an alternative delivery method, you will review situations where Agile can be adapted outside of software development, where it is most commonly used. What you will Learn At the end of this program, you will be able to: Explain the basics and benefits of using an Agile approach Describe the Scrum framework, its events, artifacts and roles and responsibilities Illustrate Agile approaches outside of Software Development Getting Started Introduction Course structure Course goals and objectives Agile Introduction What is Agile? Agile Benefits Agile Methods Overview of Scrum Scrum Overview Scrum Events Scrum Artifacts Scrum Roles Definition of Done Agile Approaches Outside of Software Development Agile in other environments Product Development Course Development Marketing Agile Project Candidates Summary What Agile is not... Concerns and Pitfalls

Introduction to Agile and Scrum: Virtual In-House Training This half-day course provides an overview of Agile principles and mindset, and the Scrum framework as a key Agile approach. It will provide you with the key benefits of an Agile approach, and its differences with the traditional Waterfall method. Lastly, as Agile is looked upon more frequently as an alternative delivery method, you will review situations where Agile can be adapted outside of software development, where it is most commonly used. What you will Learn At the end of this program, you will be able to: Explain the basics and benefits of using an Agile approach Describe the Scrum framework, its events, artifacts and roles and responsibilities Illustrate Agile approaches outside of Software Development Getting Started Introduction Course structure Course goals and objectives Agile Introduction What is Agile? Agile Benefits Agile Methods Overview of Scrum Scrum Overview Scrum Events Scrum Artifacts Scrum Roles Definition of Done Agile Approaches Outside of Software Development Agile in other environments Product Development Course Development Marketing Agile Project Candidates Summary What Agile is not... Concerns and Pitfalls

This course is very much a discussion, so be prepared to present and critically analyse your own and class mates work. You will also need to bring a few examples of work you have done in the past. Learning and applying best practice visualisation principles will improve effective discussions amongst decision makers throughout your organisation. As a result more end-users of your dashboards will be able to make better decisions, more quickly. This 2 Day training course is aimed at analysts with good working knowledge of BI tools (we use Tableau to present, but attendees can use their own software such as Power BI or Qlik Sense). It is a great preparation for taking advanced certifications, such as Tableau Certified Professional. Contact us to discuss the Visual Analytics Best Practice course Email us if you are interested in an on-site course, or would be interested in different dates and locations This Tableau Desktop training intermediate course is designed for the professional who has a solid foundation with Tableau and is looking to take it to the next level. Attendees should have a good understanding of the fundamental concepts of building Tableau worksheets and dashboards typically achieved from having attended our Tableau Desktop Foundation Course. At the end of this course you will be able to communicate insights more effectively, enabling your organisation to make better decisions, quickly. The Tableau Desktop Analyst training course is aimed at people who are used to working with MS Excel or other Business Intelligence tools and who have preferably been using Tableau already for basic reporting. The course includes the following topics: WHAT IS VISUAL ANALYSIS? Visual Analytics Visual Analytics Process Advantages of Visual Analysis Exercise: Interpreting Visualisations HOW DO WE PROCESS VISUAL INFORMATION? Memory and Processing Types Exercise: Identifying Types of Processing Cognitive Load Exercise: Analysing Cognitive Load Focus and Guide the Viewer Remove Visual Distractions Organise Information into Chunks Design for Proximity Exercise: Reducing Cognitive Load SENSORY MEMORY Pre-attentive Attributes Quantitatively-Perceived Attributes Categorically-Perceived Attributes Exercise: Analysing Pre-attentive Attributes Form & Attributes Exercise: Using Form Effectively Colour & Attributes Exercise: Using Colour Effectively Position & Attributes Exercise: Using Position Effectively ENSURING VISUAL INTEGRITY Informing without Misleading Gestalt Principles Visual Area Axis & Scale Colour Detail Exercise: Informing without Misleading CHOOSING THE RIGHT VISUALISATION Comparing and Ranking Categories Comparing Measures Comparing Parts to Whole Viewing Data Over Time Charts Types for Mapping Viewing Correlation Viewing Distributions Viewing Specific Values DASHBOARDS AND STORIES Exercise: Picking the Chart Type Exercise: Brainstorming Visual Best Practice Development Process for Dashboards and Stories Plan the Visualisation Create the Visualisation Test the Visualisation Exercise: Designing Dashboards and Stories This training course includes over 20 hands-on exercises to help participants “learn by doing” and to assist group discussions around real-life use cases. Each attendee receives an extensive training manual which covers the theory, practical applications and use cases, exercises and solutions together with a USB with all the materials required for the training. The course starts at 09:30 on the first day and ends at 17:00. On the second day the course starts at 09:00 and ends at 17:00. Students must bring their own laptop with an active version of Tableau Desktop 10.5 (or later) pre-installed. What People Are Saying About This Course "Steve was willing to address questions arising from his content in a full and understandable way"Lisa L. "Really enjoyed the course and feel the subject and the way it was taught was very close to my needs"James G. "The course tutor Steve was incredibly helpful and taught the information very well while making the two days very enjoyable."Bradd P. "The host and his courses will give you the tools and confidence that you need to be comfortable with Tableau."Jack S. "Steve was fantastic with his knowledge and knowhow about the product. Where possible he made sure you could put demonstrations in to working practice, to give the audience a clear understanding."Tim H. "This was a very interesting and helpful course, which will definitely help me produce smarter, cleaner visualisations that will deliver more data-driven insights within our business."Richard A. "Steve is very open to questions and will go out of his way to answer any query. Thank you"Wasif N. "Steve was willing to address questions arising from his content in a full and understandable way"Lisa L. "Really enjoyed the course and feel the subject and the way it was taught was very close to my needs"James G.