602 Data Analyst courses in London delivered Online

Ascend to the next level of Excel proficiency with our comprehensive Microsoft Excel: Automated Dashboard Using Advanced Formula, VBA, Power Query course. This in-depth training will equip you with the skills to create sophisticated dashboards using advanced Excel formulas, VBA, and Power Query, empowering you to transform raw data into actionable insights. Master the art of financial modeling with our prepaid expenses models, learning how to calculate amortization schedules and create detailed summaries using Excel formulas. Delve into the power of Power Query to effortlessly manipulate and analyze large datasets, building dynamic dashboards without the limitations of formulas. Learning Outcomes Gain proficiency in creating automated dashboards using advanced Excel formulas, VBA, and Power Query Develop expertise in financial modeling using prepaid expenses models Master the calculation of amortization schedules and prepaid expenses summaries Implement Power Query to manipulate and analyze large datasets Create dynamic dashboards without the limitations of formulas Enhance your Excel skills and data analysis capabilities Why choose this Microsoft Excel: Automated Dashboard Using Advanced Formula, VBA, Power Query course? Unlimited access to the course for a lifetime. Opportunity to earn a certificate accredited by the CPD Quality Standards and CIQ after completing this course. Structured lesson planning in line with industry standards. Immerse yourself in innovative and captivating course materials and activities. Assessments designed to evaluate advanced cognitive abilities and skill proficiency. Flexibility to complete the Course at your own pace, on your own schedule. Receive full tutor support throughout the week, from Monday to Friday, to enhance your learning experience. Unlock career resources for CV improvement, interview readiness, and job success. Who is this Microsoft Excel: Automated Dashboard Using Advanced Formula, VBA, Power Query course for? Accounting and finance professionals seeking to enhance their Excel skills for financial modeling and dashboard creation Business analysts and data analysts aiming to expand their expertise in data manipulation and visualization Excel enthusiasts interested in mastering advanced Excel formulas, VBA, and Power Query Individuals seeking to create interactive and insightful dashboards for data-driven decision-making Anyone seeking to elevate their Excel skills and become a proficient data analyst Career path Financial Analyst (£35,000 - £55,000) Business Analyst (£40,000 - £60,000) Data Analyst (£45,000 - £65,000) Management Accountant (£40,000 - £60,000) Business Intelligence Analyst (£45,000 - £65,000) Senior Financial Analyst (£50,000 - £70,000) Prerequisites This Microsoft Excel: Automated Dashboard Using Advanced Formula, VBA, Power Query does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Microsoft Excel: Automated Dashboard Using Advanced Formula, VBA, Power Query was made by professionals and it is compatible with all PC's, Mac's, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection. Certification After studying the course materials, there will be a written assignment test which you can take at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £4.99 Original Hard Copy certificates need to be ordered at an additional cost of £8. Course Curriculum Introduction Course Outline and Introduction 00:04:00 Minimum Requirements for the Course 00:01:00 Prepayments Introduction 00:01:00 Prepaid Expenses Models: Resources Download Month End Date Prepaid Expenses Amortization Calculation 00:00:00 Exact Prepaid Expenses Payment Date Calculation 00:00:00 Accounting for Prepaid Expenses Prepaid Expenses Accounting Definition: Prepayments 00:03:00 Prepaid Expense Example: How Accounting works for Prepayments 00:03:00 Advantages and Disadvantages of Prepaid Expenses 00:03:00 Excel Formulas Detailed: Introduction to three Excel Models Introduction to PRO Excel Models and Formulas 00:06:00 Date Function 00:05:00 EOMONTH Function 00:04:00 DATEVALUE function 00:03:00 IF Function 00:08:00 IFS Function (Office 365 Only) 00:07:00 VLOOKUP Function 00:07:00 MATCH Function 00:05:00 INDIRECT Function 00:02:00 NAMED Ranges: Name Manager 00:03:00 Advanced Version of VLOOKUP Function 00:07:00 Formula Based Prepaid Expenses Model Introduction to Model and Control Panel Tab (Important Sheet Tab) 00:08:00 Formula Based Prepaid Expenses Model - Deep Dive (Part 1) 00:05:00 Formula Based Prepaid Expenses Model - Deep Dive (Part 2) 00:06:00 Formula Based Prepaid Expenses Model - Deep Dive (Part 3) 00:06:00 IFS Function - Month End date Prepayment calculation 00:04:00 Prepaid Expenses - Closing Balance Summary Tab (Formula Based Summary) 00:09:00 Protecting Formulas Cells and Fields in the Model 00:04:00 Calculate Prepaid Expenses Amortisation from Exact Start Date Exact Date Prepaid Amortisation calculation Intro 00:03:00 Formulas update and Model Changes for Exact Prepaid Exps Calculation 00:03:00 Formulas Update for Exact Date Prepaid Exps Amortisation (Part 1) 00:04:00 Formulas Update for Exact Date Prepaid Exps Amortisation (Part 2) 00:03:00 Formulas Update for Exact Date Prepaid Exps Amortisation (Part 3) 00:02:00 Formulas Update for Exact Date Prepaid Exps Amortisation (Part 4) 00:07:00 IFS Function - Exact Date Prepayments Amortisation 00:04:00 Data Validation Controls (Enhancing Data Input Controls with Protection) 00:10:00 Bonus: Prepayment Model with Opening Balance Calculation (Part 1) 00:08:00 Bonus: Prepayment Model with Opening Balance Calculation (Part 2) 00:09:00 Additional Material: Resources 00:00:00 Prepaid Expenses Summary with Power Query and Pivot Table Power Query and Pivot Table Prepayment Summary Table Intro 00:06:00 What is Power Query and Some Awesome Resources for Power Query learning 00:07:00 Power Query and Pivot Table Summary - Deep Dive (Part 1) 00:05:00 Power Query and Pivot Table Summary - Deep Dive (Part 2) 00:04:00 Power Query and Pivot Table Summary - Deep Dive (Part 3) 00:05:00 Power Query and Pivot Table Summary - Deep Dive (Part 4) 00:09:00 Using Array Formulas to Add Formula Protection 00:04:00 Bonus: Allocate Prepaid Expenditure Cost Centre Wise - 1 00:02:00 Bonus: Allocate Prepaid Expenditure Cost Centre Wise - 2 00:08:00 Bonus: Prepayment Model with Opening Balance Calculation (PQ and PT Version) 00:13:00 Advanced VBA Prepaid Expenses Amortisation Model Changing Macros Security in Excel 00:05:00 Complete Walkthrough - Advanced VBA Prepaid Expenses Amortisation Model 00:06:00 Bonus : New Version - Excel VBA Model for Prepayment Expenditure 00:08:00 BONUS: Dynamic Dashboard for Divisional Profit and Loss statements: Easy Way Dynamic Dashboard Overview 00:07:00 Importing Profit and Loss Statements Source Files and creating YTD P&L Sheets 00:08:00 Creating Dynamic Data Validation 00:02:00 Creating Named Ranges for Dynamic Table Arrays 00:03:00 Dynamic Date Column Headings for each Divisional PL Table 00:02:00 Dynamic Month and YTD Dashboard tables headings (PRO TIP) 00:03:00 Dynamic VLOOKUP Formula - Preparing First section of the Dashboard 00:04:00 Creating Rolling Dashboard with Dynamic VLOOKUP Function 00:08:00 IMPORTANT : Error Checking for your reports/Dashboard (PRO TIP) 00:03:00 Data Prep for Visualization: AREA Charts (Awesome trick using #NA Function) 00:05:00 Visualization: AREA Charts for Month - Revenue, Gross Profit and Net Profit 00:05:00 Visualization DONUT Charts Revenue, Gross Profit and Net Profit (Part 1) 00:03:00 Visualization DONUT Charts Revenue, Gross Profit and Net Profit (Part 2) 00:06:00 Power Query & Pivot Tables based Dashboard without any Formulas, Fully Dynamic Introduction - Formula-less Dashboard - Fully Dynamic and easily refreshed 00:05:00 Understanding the data files before building dashboard 00:02:00 Consolidating Reports with Power Query (Get & Transform) , How to install PQ 00:08:00 Dynamic File Path Trick in Power Query with Parameters (Amazing trick) 00:06:00 Conditional Cumulative totals with SUMIFS Function 00:04:00 Bonus: Conditional Cumulative totals with Power Query Custom Formula (M Code) 00:06:00 Dashboard Creation - Pivot Table showing Month and YTD KPIs division wise 00:06:00 Dashboard Creation Donuts Charts linked with Pivot Table (Replicate Charts fast) 00:08:00 Dashboard Creation - Line Charts 00:08:00 Update Dashboard with Additional Divisional Data with Few Click (Magical) 00:03:00 Thank you Thank you 00:02:00 Ultimate Prepaid Expenditure Model (Super Bonus) 00:02:00 Resources Resources - Microsoft Excel: Automated Dashboard Using Advanced Formula, VBA, Power Query 00:00:00 Assignment Assignment - Microsoft Excel: Automated Dashboard Using Advanced Formula VBA Power Query 00:00:00

In today’s fast-paced digital world, data entry and Microsoft Office proficiency are crucial skills that open the door to countless career opportunities. This course offers a detailed journey into mastering the fundamentals of data entry alongside comprehensive training on Microsoft Office, ensuring you’re equipped to handle everything from Word documents to Excel spreadsheets. Whether you’re looking to support a business, streamline office tasks, or improve your administrative capabilities, this course provides the knowledge to navigate these essential tools with ease and confidence. Designed with clarity and precision, the Data Entry and Microsoft Office course is ideal for individuals looking to enhance their computer literacy. The course content delves into the full Microsoft Office suite—Word, Excel, PowerPoint, and Outlook—alongside expert instruction in data management. With no requirement for physical presence, learners can advance at their own pace, building the technical skills needed to succeed in a variety of office-based roles. By the end of the course, you’ll be well-versed in the digital tools that are vital to today’s workplace, preparing you for a variety of administrative positions and making you an asset in any office environment. ________________________________________________________________________ Learning Outcomes: Master essential data entry skills using Microsoft Office tools. Efficiently input and manipulate data in Microsoft Word and Excel. Apply advanced techniques for accurate and streamlined data entry. Demonstrate proficiency in Microsoft Excel, Word, PowerPoint, and Access. Develop a strong foundation in data entry best practices. Build a comprehensive career portfolio for pursuing data entry roles. ________________________________________________________________________ Key Features: CPD Certified Data Entry and Complete Microsoft Office with Complete Career Guide 11 Instant e-certificate and hard copy dispatch by next working day Fully online, interactive course with audio voiceover Developed by qualified professionals in the field Self-paced learning and laptop, tablet, smartphone-friendly 24/7 Learning Assistance Discounts on bulk purchases Course Curriculum: Efficient Data Entry Course Module 01: Introduction to Data Entry and Essential Tools Module 02: Data Entry in Microsoft Word Module 03: Data Entry in Microsoft Excel Module 04: Advanced Data Entry Techniques and Tools Module 05: Data Entry Best Practices and Accuracy Module 06: Building Your Data Entry Career and Portfolio Microsoft Office Module 1: Microsoft Excel 2019 Module 2: Microsoft Excel 2019 New Features Module 3: Getting Started with Microsoft Excel Module 4: Performing Calculations Module 5: Modifying a Worksheet Module 6: Formatting a Worksheet Module 7: Printing Workbooks Module 8: Managing Workbooks Module 9: Microsoft Word 2019 Module 10: Microsoft Word 2019 New Features Module 11: Getting Started with Word Module 12: Formatting Text and Paragraphs Module 13: Working More Efficiently Module 14: Managing Lists Module 15: Adding Tables Module 16: Inserting Graphic Objects Module 17: Controlling Page Appearance Module 18: Preparing to Publish a Document Module 19: Microsoft PowerPoint 2019 Module 20: Microsoft PowerPoint 2019 New Features Module 21: PowerPoint Interface Module 22: Presentation Basics Module 23: Formatting Module 24: Inserting Options Module 25: Working with Objects Module 26: Table Module 27: Charts Module 28: Review and Presentation Module 29: Microsoft Access 2019 Module 30: Microsoft Access 2019 New Features Module 31: Introduction to Access Module 32: Modify Data Module 33: Working with Queries Module 34: Access Forms Module 35: Working with Reports ________________________________________________________________________ Complete Career Guide for Data Entry and Complete Microsoft Office (A to Z) List of career guide courses included in Data Entry and Complete Microsoft Office with Complete Career Guide: Course 01: Professional CV Writing and Job Searching Course 02: Communication Skills Training Course 03: Career Development Training Course 04: Time Management Course 05: Returning to Work Training Course 06: Level 3 Diploma in Project Management Course 07: Leadership Skills Course 08: Body Language Course 09: Interview and Recruitment Accreditation All of our courses are fully accredited, including this Data Entry and Complete Microsoft Office Course, providing you with up-to-date skills and knowledge and helping you to become more competent and effective in Data Entry and Complete Microsoft Office. Certification Once you've successfully completed your Data Entry and Complete Microsoft Office Course, you will immediately be sent a digital certificate. Also, you can have your printed certificate delivered by post (shipping cost £3.99). Our Data Entry and Complete Microsoft Office Course certification has no expiry dates, although we do recommend that you renew them every 12 months. CPD 100 CPD hours / points Accredited by CPD Quality Standards Who is this course for? This Data Entry and Complete Microsoft Office Course can be taken by anyone who wants to understand more about the topic. With the aid of this course, you will be able to grasp the fundamental knowledge and ideas. Additionally, this Data Entry and Complete Microsoft Office Course is ideal for: Individuals aspiring to excel in data entry roles. Office professionals seeking enhanced Microsoft Office skills. Students or job seekers aiming to boost employability. Beginners or intermediate users looking for comprehensive training. Requirements Learners do not require any prior qualifications to enrol on this Data Entry and Complete Microsoft Office Course. You just need to have an interest in Data Entry and Complete Microsoft Office Course. Career path After completing this Data Entry and Complete Microsoft Office Course you will have a variety of careers to choose from. The following job sectors of Data Entry and Microsoft Office Course are: Data Entry Clerk - £18K to £25K/year Administrative Assistant - £18K to £30K/year Office Administrator - £20K to £35K/year Data Analyst - £25K to £40K/year Administrative Coordinator - £22K to £32K/year Certificates Digital certificate Digital certificate - Included Once you've successfully completed your course, you will immediately be sent a FREE digital certificate. Hard copy certificate Hard copy certificate - Included Also, you can have your FREE printed certificate delivered by post (shipping cost £3.99 in the UK). For all international addresses outside of the United Kingdom, the delivery fee for a hardcopy certificate will be only £10. Our certifications have no expiry dates, although we do recommend that you renew them every 12 months.

  Preparing for GCSE examinations is a crucial step towards a successful academic journey. Functional Skills Maths Level 2 (GCSE Preparation) is designed to equip learners with the essential mathematical skills needed to excel in these exams. Mathematics can often be a challenging subject, and many students face difficulties in mastering its concepts. Our course is here to address this problem and provide the necessary tools for success.   Preparing for GCSE exams is a pivotal step in one's academic journey, and the Functional Skills Maths Level 2 (GCSE Preparation) course offers essential knowledge across a diverse curriculum. From mastering numbers and fractions to unlocking the world of percentages and algebraic expressions, this course equips learners with the mathematical tools they need to succeed.    The importance of mathematics in daily life cannot be overstated. It is the foundation of problem-solving, critical thinking, and analytical skills. The main problem our course solves is the lack of confidence and proficiency in mathematics. By completing this course, learners will gain the knowledge and skills required to approach GCSE exams with confidence. The benefits of solving this problem include improved academic performance, enhanced problem-solving abilities, and increased career prospects.   Learning Outcomes Apply mathematical principles to solve real-life problems confidently. Understand and work with numbers, including negative numbers. Comprehend multiples, factors, and their applications. Master fractions, powers, and their practical use. Calculate percentages and their relevance in various scenarios. Manipulate expressions and equations effectively. Demonstrate proficiency in working with decimals. Apply ratio and proportion concepts in practical situations. Solve problems involving exponents and radicals. Interpret and create graphs to represent data accurately.   Who is this course for? Students preparing for GCSE mathematics examinations. Adults looking to refresh and strengthen their math skills. Anyone seeking to improve their proficiency in mathematics. Individuals aspiring to pursue careers in science, engineering, or finance. Teachers or tutors aim to enhance their math teaching skills.   Why Choose This Course Unlimited access to the course for a lifetime. Opportunity to earn a certificate accredited by the CPD Quality Standards and CIQ after completing this course. Structured lesson planning in line with industry standards. Immerse yourself in innovative and captivating course materials and activities. Assessments designed to evaluate advanced cognitive abilities and skill proficiency. Flexibility to complete the Course at your own pace, on your own schedule. Receive full tutor support throughout the week, from Monday to Friday, to enhance your learning experience. Unlock career resources for CV improvement, interview readiness, and job success.   Career Path Teaching Assistant: £15,000 - £25,000 Data Analyst: £20,000 - £40,000 Financial Analyst: £25,000 - £60,000 Engineering Technician: £20,000 - £40,000 Science Researcher: £25,000 - £50,000   Prerequisite No prior qualifications or experience are necessary to enrol in the Functional Skills Maths Level 2 (GCSE Preparation) course. This course was created by professionals and is compatible with various devices, including PCs, Macs, tablets, and smartphones. As long as you have a reliable internet connection, you can access the course from anywhere at any time.   Certification Upon completion of the course content, a written evaluation awaits learners. Passing this assessment allows for the acquisition of a digital certificate at a nominal fee of £4.99 GBP. If a physical certificate is desired, it can be procured for an additional charge of £8. Course Curriculum Functional Skills Maths Level 2 Module 01: Numbers and Negative Numbers 00:30:00 Module 02: Multiples Factors 00:25:00 Module 03: Fractions and Power 01:10:00 Module 04: Percentages 00:35:00 Module 05: Expressions 00:40:00 Module 06: Decimals 00:35:00 Module 07: Ratio and Proportion 00:45:00 Module 08: Exponents and Radicals 00:50:00 Module 09: Graphs 00:50:00 Module 10: The Profit and Loss 00:30:00 Module 11: Perimeter and Area 00:45:00 Module 12: Averages 00:40:00 Module 13: Probability 00:35:00 Assignment Assignment - Functional Skills Maths Level 2 00:00:00

Mastering data entry doesn’t have to be dull. This course is purpose-built for individuals looking to sharpen their speed, accuracy, and attention to detail—all from the comfort of their screen. Whether you're aiming to polish your administrative edge or simply want to become the person who never fumbles a spreadsheet, this training has you covered with clear instruction, clever techniques, and a workflow-focused approach that’s anything but dry. Designed with efficiency in mind, the course goes straight to the point—no fluff, no filler. You’ll learn how to navigate data systems like a pro, avoid common input mishaps, and glide through databases with the confidence of someone who’s done it for years (even if you haven’t). The content is fast-paced, cleanly delivered, and well-suited for both newcomers and those brushing up on their keyboard finesse. Ready to make typing errors a thing of the past? Good—because this course is your new secret weapon. Key Features CPD Accredited FREE PDF + Hardcopy certificate Fully online, interactive course Self-paced learning and laptop, tablet and smartphone-friendly 24/7 Learning Assistance Discounts on bulk purchases Course Curriculum Module 01: Introduction to Data Entry and Essential Tools Module 02: Data Entry in Microsoft Word Module 03: Data Entry in Microsoft Excel Module 04: Advanced Data Entry Techniques and Tools Module 05: Data Entry Best Practices and Accuracy Module 06: Building Your Data Entry Career and Portfolio Learning Outcomes: Master essential data entry skills. Excel in data manipulation using Microsoft tools. Implement advanced data entry techniques. Ensure accuracy and adhere to best practices. Develop a compelling data entry portfolio. Prepare for a successful data entry career. Accreditation This course is CPD Quality Standards (CPD QS) accredited, providing you with up-to-date skills and knowledge and helping you to become more competent and effective in your chosen field. Certificate After completing this course, you will get a FREE Digital Certificate from Training Express. CPD 10 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Beginners eager to enter the data management field. Administrative professionals seeking data expertise. Graduates looking to enhance their employability. Individuals interested in data-related roles. Anyone pursuing data entry career advancement. Those aiming to improve data accuracy and efficiency. Professionals wishing to build a data entry portfolio. Job seekers targeting data-focused positions. Career path Data Entry Clerk Administrative Assistant Office Administrator Data Analyst Content Manager Research Assistant Certificates Digital certificate Digital certificate - Included Once you've successfully completed your course, you will immediately be sent a FREE digital certificate. Hard copy certificate Hard copy certificate - Included Also, you can have your FREE printed certificate delivered by post (shipping cost £3.99 in the UK). For all international addresses outside of the United Kingdom, the delivery fee for a hardcopy certificate will be only £10. Our certifications have no expiry dates, although we do recommend that you renew them every 12 months.

Messy records? Missing files? Welcome to the side of admin where everything finally makes sense. This Data Documentation and Record Keeping Course is your guide to getting things sorted—properly. You’ll learn the art of tidy records, digital documentation, smart filing systems, and how to avoid the chaos that often comes with paper trails and forgotten file names. From managing sensitive data to keeping consistent logs, the course takes you through exactly what’s needed to stay organised, stay secure, and stay one step ahead. Whether you’re in healthcare, finance, education, or any sector that still loves a good spreadsheet (and let’s be honest, that’s most of them), good record keeping isn't just useful—it’s essential. This course helps you avoid those costly errors, keep your audits painless, and make sure that everything is easy to find when needed. No fluff, just the solid know-how to keep your records neat, clear and reliable. Because when the paperwork’s right, everything else runs smoother. Key Features CPD Accredited FREE PDF + Hardcopy certificate Fully online, interactive course Self-paced learning and laptop, tablet and smartphone-friendly 24/7 Learning Assistance Discounts on bulk purchases Course Curriculum Module 1: Introduction to Data Documentation and Record Keeping Module 2: Data Collection and Organisation Module 3: Data Storage and Retrieval Module 4: Data Documentation Strategies Module 5: Record-Keeping and Compliance Module 6: Data Security and Access Control Learning Outcomes: Master data collection techniques for comprehensive information acquisition. Implement effective strategies for organised and retrievable data storage. Develop robust documentation practices to enhance data comprehension. Ensure compliance with industry standards through meticulous record-keeping. Establish advanced data security measures and access control protocols. Navigate the complexities of the evolving data landscape with confidence. Accreditation This course is CPD Quality Standards (CPD QS) accredited, providing you with up-to-date skills and knowledge and helping you to become more competent and effective in your chosen field. Certificate After completing this course, you will get a FREE Digital Certificate from Training Express. CPD 10 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Data analysts and entry-level professionals. IT professionals seeking to enhance data management skills. Business professionals involved in data-driven decision-making. Compliance officers and regulatory affairs specialists. Information security enthusiasts. Professionals aiming to advance their career in data management. Individuals transitioning to roles requiring data expertise. Anyone keen on mastering the intricacies of data documentation and record keeping. Career path Data Analyst Compliance Officer Information Security Analyst Records Manager Database Administrator Regulatory Affairs Specialist Certificates Digital certificate Digital certificate - Included Once you've successfully completed your course, you will immediately be sent a FREE digital certificate. Hard copy certificate Hard copy certificate - Included Also, you can have your FREE printed certificate delivered by post (shipping cost £3.99 in the UK). For all international addresses outside of the United Kingdom, the delivery fee for a hardcopy certificate will be only £10. Our certifications have no expiry dates, although we do recommend that you renew them every 12 months.

Duration 2 Days 12 CPD hours This course is intended for If you are a data analyst, data scientist, or a business analyst who wants to get started with using Python and machine learning techniques to analyze data and predict outcomes, this book is for you. Basic knowledge of computer programming and data analytics is a must. Familiarity with mathematical concepts such as algebra and basic statistics will be useful. Overview By the end of this course, you will have the skills you need to confidently use various machine learning algorithms to perform detailed data analysis and extract meaningful insights from data. This course is designed to give you practical guidance on industry-standard data analysis and machine learning tools in Python, with the help of realistic data. The course will help you understand how you can use pandas and Matplotlib to critically examine a dataset with summary statistics and graphs, and extract the insights you seek to derive. You will continue to build on your knowledge as you learn how to prepare data and feed it to machine learning algorithms, such as regularized logistic regression and random forest, using the scikit-learn package. You?ll discover how to tune the algorithms to provide the best predictions on new and unseen data. As you delve into later sections, you?ll be able to understand the working and output of these algorithms and gain insight into not only the predictive capabilities of the models but also their reasons for making these predictions. Data Exploration and Cleaning Python and the Anaconda Package Management System Different Types of Data Science Problems Loading the Case Study Data with Jupyter and pandas Data Quality Assurance and Exploration Exploring the Financial History Features in the Dataset Activity 1: Exploring Remaining Financial Features in the Dataset Introduction to Scikit-Learn and Model Evaluation Introduction Model Performance Metrics for Binary Classification Activity 2: Performing Logistic Regression with a New Feature and Creating a Precision-Recall Curve Details of Logistic Regression and Feature Exploration Introduction Examining the Relationships between Features and the Response Univariate Feature Selection: What It Does and Doesn't Do Building Cloud-Native Applications Activity 3: Fitting a Logistic Regression Model and Directly Using the Coefficients The Bias-Variance Trade-off Introduction Estimating the Coefficients and Intercepts of Logistic Regression Cross Validation: Choosing the Regularization Parameter and Other Hyperparameters Activity 4: Cross-Validation and Feature Engineering with the Case Study Data Decision Trees and Random Forests Introduction Decision trees Random Forests: Ensembles of Decision Trees Activity 5: Cross-Validation Grid Search with Random Forest Imputation of Missing Data, Financial Analysis, and Delivery to Client Introduction Review of Modeling Results Dealing with Missing Data: Imputation Strategies Activity 6: Deriving Financial Insights Final Thoughts on Delivering the Predictive Model to the Client

Do you want to master the essential mathematical skills for data science and machine learning? Do you want to learn how to apply statistics and probability to real-world problems and scenarios? If yes, then this course is for you! In this course, you will learn the advanced concepts and techniques of statistics and probability that are widely used in data science and machine learning. You will learn how to describe and analyse data using descriptive statistics, distributions, and probability theory. You will also learn how to perform hypothesis testing, regressions, ANOVA, and machine learning algorithms to make predictions and inferences from data. You will gain hands-on experience with practical exercises and projects using Python and R. Learning Outcomes By the end of this course, you will be able to: Apply descriptive statistics, distributions, and probability theory to summarise and visualise data Perform hypothesis testing, regressions, ANOVA, and machine learning algorithms to make predictions and inferences from data Use Python and R to implement statistical and machine learning methods Interpret and communicate the results of your analysis using appropriate metrics and visualisations Solve real-world problems and scenarios using statistics and probability Why choose this Advanced Diploma in Statistics & Probability for Data Science & Machine Learning at QLS Level 7 course? Unlimited access to the course for a lifetime. Opportunity to earn a certificate accredited by the CPD Quality Standards and CIQ after completing this course. Structured lesson planning in line with industry standards. Immerse yourself in innovative and captivating course materials and activities. Assessments designed to evaluate advanced cognitive abilities and skill proficiency. Flexibility to complete the Course at your own pace, on your own schedule. Receive full tutor support throughout the week, from Monday to Friday, to enhance your learning experience. Unlock career resources for CV improvement, interview readiness, and job success. Who is this Advanced Diploma in Statistics & Probability for Data Science & Machine Learning at QLS Level 7 course for? This course is for anyone who wants to learn the advanced concepts and techniques of statistics and probability for data science and machine learning. This course is suitable for: Data scientists, machine learning engineers, and analysts who want to enhance their skills and knowledge Students and researchers who want to learn the mathematical foundations of data science and machine learning Professionals and managers who want to understand and apply data-driven decision making Hobbyists and enthusiasts who want to explore and learn from data Anyone who loves statistics and probability and wants to challenge themselves Career path Data Scientist (£35,000 - £55,000) Machine Learning Engineer (£40,000 - £60,000) Statistician (£35,000 - £55,000) Data Analyst (£40,000 - £60,000) Business Intelligence Analyst (£45,000 - £65,000) Senior Data Analyst (£50,000 - £70,000) Prerequisites This Advanced Diploma in Statistics & Probability for Data Science & Machine Learning at QLS Level 7 does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Advanced Diploma in Statistics & Probability for Data Science & Machine Learning at QLS Level 7 was made by professionals and it is compatible with all PC's, Mac's, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection. Certification After studying the course materials, there will be a written assignment test which you can take at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £4.99 Original Hard Copy certificates need to be ordered at an additional cost of £8. Endorsed Certificate of Achievement from the Quality Licence Scheme Learners will be able to achieve an endorsed certificate after completing the course as proof of their achievement. You can order the endorsed certificate for only £135 to be delivered to your home by post. For international students, there is an additional postage charge of £10. Endorsement The Quality Licence Scheme (QLS) has endorsed this course for its high-quality, non-regulated provision and training programmes. The QLS is a UK-based organisation that sets standards for non-regulated training and learning. This endorsement means that the course has been reviewed and approved by the QLS and meets the highest quality standards. Please Note: Studyhub is a Compliance Central approved resale partner for Quality Licence Scheme Endorsed courses. Course Curriculum Section 01: Let's get started Welcome! 00:02:00 What will you learn in this course? 00:06:00 How can you get the most out of it? 00:06:00 Section 02: Descriptive statistics Intro 00:03:00 Mean 00:06:00 Median 00:05:00 Mode 00:04:00 Mean or Median? 00:08:00 Skewness 00:08:00 Practice: Skewness 00:01:00 Solution: Skewness 00:03:00 Range & IQR 00:10:00 Sample vs. Population 00:05:00 Variance & Standard deviation 00:11:00 Impact of Scaling & Shifting 00:19:00 Statistical moments 00:06:00 Section 03: Distributions What is a distribution? 00:10:00 Normal distribution 00:09:00 Z-Scores 00:13:00 Practice: Normal distribution 00:04:00 Solution: Normal distribution 00:07:00 Section 04: Probability theory Intro 00:01:00 Probability Basics 00:10:00 Calculating simple Probabilities 00:05:00 Practice: Simple Probabilities 00:01:00 Quick solution: Simple Probabilities 00:01:00 Detailed solution: Simple Probabilities 00:06:00 Rule of addition 00:13:00 Practice: Rule of addition 00:02:00 Quick solution: Rule of addition 00:01:00 Detailed solution: Rule of addition 00:07:00 Rule of multiplication 00:11:00 Practice: Rule of multiplication 00:01:00 Solution: Rule of multiplication 00:03:00 Bayes Theorem 00:10:00 Bayes Theorem - Practical example 00:07:00 Expected value 00:11:00 Practice: Expected value 00:01:00 Solution: Expected value 00:03:00 Law of Large Numbers 00:08:00 Central Limit Theorem - Theory 00:10:00 Central Limit Theorem - Intuition 00:08:00 Central Limit Theorem - Challenge 00:11:00 Central Limit Theorem - Exercise 00:02:00 Central Limit Theorem - Solution 00:14:00 Binomial distribution 00:16:00 Poisson distribution 00:17:00 Real life problems 00:15:00 Section 05: Hypothesis testing Intro 00:01:00 What is a hypothesis? 00:19:00 Significance level and p-value 00:06:00 Type I and Type II errors 00:05:00 Confidence intervals and margin of error 00:15:00 Excursion: Calculating sample size & power 00:11:00 Performing the hypothesis test 00:20:00 Practice: Hypothesis test 00:01:00 Solution: Hypothesis test 00:06:00 T-test and t-distribution 00:13:00 Proportion testing 00:10:00 Important p-z pairs 00:08:00 Section 06: Regressions Intro 00:02:00 Linear Regression 00:11:00 Correlation coefficient 00:10:00 Practice: Correlation 00:02:00 Solution: Correlation 00:08:00 Practice: Linear Regression 00:01:00 Solution: Linear Regression 00:07:00 Residual, MSE & MAE 00:08:00 Practice: MSE & MAE 00:01:00 Solution: MSE & MAE 00:03:00 Coefficient of determination 00:12:00 Root Mean Square Error 00:06:00 Practice: RMSE 00:01:00 Solution: RMSE 00:02:00 Section 07: Advanced regression & machine learning algorithms Multiple Linear Regression 00:16:00 Overfitting 00:05:00 Polynomial Regression 00:13:00 Logistic Regression 00:09:00 Decision Trees 00:21:00 Regression Trees 00:14:00 Random Forests 00:13:00 Dealing with missing data 00:10:00 Section 08: ANOVA (Analysis of Variance) ANOVA - Basics & Assumptions 00:06:00 One-way ANOVA 00:12:00 F-Distribution 00:10:00 Two-way ANOVA - Sum of Squares 00:16:00 Two-way ANOVA - F-ratio & conclusions 00:11:00 Section 09: Wrap up Wrap up 00:01:00 Assignment Assignment - Statistics & Probability for Data Science & Machine Learning 00:00:00 Order your QLS Endorsed Certificate Order your QLS Endorsed Certificate 00:00:00

Step beyond the basics and dive deeper into Python with our Intermediate Training Course, designed for those who have already dipped their toes into coding and are ready to advance their skills. This course carefully guides you through more intricate concepts such as object-oriented programming, data manipulation, and working with modules and libraries—all essential tools in the modern Python programmer’s toolkit. Whether you want to enhance your coding fluency or prepare for more specialised projects, this course offers the perfect balance of theory and thoughtful explanation, ensuring clarity without drowning you in jargon. Crafted for learners who appreciate precision and clarity, the course content balances informative detail with a touch of wit to keep you engaged without ever feeling like you’re slogging through a manual. Ideal for self-paced study, it fits neatly around your schedule and learning preferences. By the end, you’ll be confidently handling Python’s intermediate-level challenges and writing code that’s not only functional but a little bit clever too. Ready to level up your programming skills? This course is your next smart step. Learning Outcomes: Gain a deeper understanding of intermediate-level Python concepts. Learn how to work with matrices and manipulate lists and dictionaries. Discover how to use Python to solve complex problems and write efficient and elegant code. Understand how to manipulate data structures and perform advanced data analysis tasks. Learn how to use Python to build real-world projects and applications. The Python Intermediate Training course is designed to provide you with the skills and knowledge you need to become a proficient Python developer. Whether you're a beginner or an experienced programmer looking to enhance your Python skills, this course is perfect for you. Starting with the basics of matrices and lists and moving on to more advanced topics, such as dictionaries and data analysis, this course covers everything you need to know to become a proficient Python developer. You'll learn how to manipulate data structures, perform advanced data analysis tasks, and use Python to build real-world projects and applications. ⊱⊱ Python Intermediate Training Course Curriculum Section 01: Introduction Course Introduction Section 02: Matrix in Python Working on Matrix in Python Working on Matrix in Python Continued Performing Sort Section 03: Working on List in Python Merging to Dictionaries Concatenation of List Example Excepting Values in List and Adding those Using for Loop Excepting Values in List and Adding Those Using While Loop Performing Arithmetic Operation on List Data Structure in Python Data Structure in Python Continued Section 04: Lists & Dictionaries in Python List and Dictionary in Python List and Dictionary in Python Continued Various Sorting Methods in Python Part 1 Various Sorting Methods in Python Part 2 Binary Search Example Reversing a String Dictionary Examples More on List and Dictionary Examples String Examples 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 __ GBP. £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? Python beginners who want to take their skills to the next level. Experienced programmers who want to expand their Python skills and knowledge. Data analysts who want to use Python for advanced data analysis tasks. Entrepreneurs who want to develop their own Python-based applications. Students who want to enhance their Python skills and prepare for a career in programming. Requirements There are no formal entry requirements for the course, with enrollment open to anyone! Career path Python Developer: £28,000 - £55,000 Data Analyst: £24,000 - £45,000 Software Engineer: £28,000 - £60,000 Technical Lead: £40,000 - £90,000 Chief Technology Officer: £90,000 - £250,000 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.

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