2075 Courses in Nottingham delivered On Demand

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Highlights of the Course Course Type: Online Learning Duration: 14 hours 49 minutes Tutor Support: Tutor support is included Customer Support: 24/7 customer support is available Quality Training: The course is designed by an industry expert Recognised Credential: Recognised and Valuable Certification Completion Certificate: Free Course Completion Certificate Included Instalment: 3 Installment Plan on checkout What you will learn from this course? Gain comprehensive knowledge about investment banking and finance or capital fundraising Understand the core competencies and principles of investment banking and finance or capital fundraising Explore the various areas of investment banking and finance or capital fundraising Know how to apply the skills you acquired from this course in a real-life context Become a confident and expert investment analyst or capital accountant Fundraising and Development Training: Investment Banking and Finance Program Course Master the skills you need to propel your career forward in investment banking and finance or capital fundraising. This course will equip you with the essential knowledge and skillset that will make you a confident investment analyst or capital accountant and take your career to the next level. This comprehensive fundraising and development training course is designed to help you surpass your professional goals. The skills and knowledge that you will gain through studying this fundraising and development training course will help you get one step closer to your professional aspirations and develop your skills for a rewarding career. This comprehensive course will teach you the theory of effective investment banking and finance or capital fundraising practice and equip you with the essential skills, confidence and competence to assist you in the investment banking and finance or capital fundraising industry. You'll gain a solid understanding of the core competencies required to drive a successful career in investment banking and finance or capital fundraising. This course is designed by industry experts, so you'll gain knowledge and skills based on the latest expertise and best practices. This extensive course is designed for investment analyst or capital accountant or for people who are aspiring to specialise in investment banking and finance or capital fundraising. Enrol in this fundraising and development training course today and take the next step towards your personal and professional goals. Earn industry-recognised credentials to demonstrate your new skills and add extra value to your CV that will help you outshine other candidates. Who is this Course for? This comprehensive fundraising and development training course is ideal for anyone wishing to boost their career profile or advance their career in this field by gaining a thorough understanding of the subject. Anyone willing to gain extensive knowledge on this investment banking and finance or capital fundraising can also take this course. Whether you are a complete beginner or an aspiring professional, this course will provide you with the necessary skills and professional competence, and open your doors to a wide number of professions within your chosen sector. Entry Requirements This fundraising and development training course has no academic prerequisites and is open to students from all academic disciplines. You will, however, need a laptop, desktop, tablet, or smartphone, as well as a reliable internet connection. Assessment This fundraising and development training course assesses learners through multiple-choice questions (MCQs). Upon successful completion of the modules, learners must answer MCQs to complete the assessment procedure. Through the MCQs, it is measured how much a learner could grasp from each section. In the assessment pass mark is 60%. Advance Your Career This fundraising and development training course will provide you with a fresh opportunity to enter the relevant job market and choose your desired career path. Additionally, you will be able to advance your career, increase your level of competition in your chosen field, and highlight these skills on your resume. Recognised Accreditation This course is accredited by continuing professional development (CPD). CPD UK is globally recognised by employers, professional organisations, and academic institutions, thus a certificate from CPD Certification Service creates value towards your professional goal and achievement. Course Curriculum Supplementary Resources Supplementary Resources - Investment Banking and Finance: Venture Capital Fundraising 00:00:00 Welcome To The Course Welcome to This Course on Capital Raising for Entrepreneurs 00:05:00 Lets Get Started Right Away What Type of Investors are There Out There 00:05:00 What is the Difference between Venture Capital And Private Equity 00:05:00 What Stage is Your Business at 00:04:00 How Much Money Should Your Raise 00:04:00 What is the difference between Pre-Money and Post Money Valuation 00:01:00 An Introduction to Startups Startup Essentials - Markets 00:05:00 Startup Essentials - Profits 00:06:00 Startup Essentials - Business Plan 00:05:00 Startup Essentials - Capital 00:05:00 Startup Essentials - Value 00:06:00 Startup Essentials - Investors 00:05:00 Do You Really Understand Venture Capitalists Do You Really Understand Venture Capitalists 00:09:00 Do You Match Their Criteria 00:09:00 Four Key Questions to Ask 00:03:00 Understanding the Investment Process 00:07:00 How to Understand if you are Talking to The Right Investor Introduction: Understanding Your VCs; A Case Study 00:02:00 What Type of Investor are You Talking to 00:07:00 What is their Ideal Investment Size 00:05:00 What Stage Do They Invest At 00:03:00 Stage of Business Financing from a VC Perspective 00:05:00 How Can You Define Venture Capitalists' Sector Interest 00:03:00 What Part Does Geography Play 00:04:00 What is Meant by Style and Structure 00:04:00 What is Meant by Key Investment Criteria 00:03:00 Section Summary: Do You Understand VCs 00:04:00 Looking at Things From The VC Point of View Thinking Like a VC - How to Evaluate Deals Like a VC 00:04:00 What Factors are important to VCs 00:06:00 Considering Valuation from the VC Perspective 00:06:00 How do Investors Value Startups 00:07:00 How do Investors Value a Series A Investment 00:04:00 How do VCs look at your Market 00:04:00 What do VCs think about your Product or Service 00:05:00 How do VCs evaluate You and your Management Team 00:06:00 Why is Exit Strategy important to VCs 00:06:00 Why are Barriers to Entry important 00:06:00 How do VCs consider your Competition 00:04:00 What Financial Information is Important to VCs 00:03:00 What is the Typical VC Decision Making Process 00:04:00 Project: Evaluate Your Own Startup 00:02:00 What Questions Should You Ask Venture Capital 36 Questions to Ask a VC Overview 00:02:00 36 Questions to Ask a VC Part 1 - Fund Profile 00:03:00 36 Questions to Ask a VC Part 2 - Investment Style 00:02:00 36 Questions to Ask a VC Part 3 - Deal Flow 00:03:00 36 Questions to Ask a VC Part 4 - Process 00:03:00 36 Questions to Ask a VC Part 5 - Structure 00:03:00 36 Questions to Ask a VC Part 6 - Value Added 00:03:00 How to Email Venture Capital and Angel Investors How to Write an Introductory Email to an Investor 00:05:00 The Power of Forwardable Emails 00:02:00 How NOT to email investors 00:04:00 How to Find an Investors Email Address (If you Don't Have it) 00:05:00 What You to Know to Present Your Business to Investors How to Deliver a 60 Second Pitch 00:05:00 The Sixteen Magic Words Investors Want to Hear from You 00:09:00 How to Write a One Pager For a VC 00:08:00 Top Tips on Preparing to Pitch Investors 00:08:00 How to prepare a Pitch Deck for an Investor 00:08:00 How to Prepare a Financing Strategy 00:02:00 Key Elements of the Financial Plan 00:05:00 Startup Fundraising and Pitching Startup Fundraising - Getting Started 00:08:00 19 Reasons VCs May Say No 00:09:00 Communicating Your Vision 00:03:00 The Business Plan; Overview and Communication 00:07:00 Business Plan Core Contents 00:08:00 The Financial Plan 00:11:00 Pitching Your Business 00:11:00 The Pitching Process and Investor Returns 00:08:00 Pitching Dos and Don'ts 00:10:00 Post Mortems 00:07:00 What are Investors Looking For 00:07:00 How to Deliver Winning Presentation to Investors What do Investors Want 00:07:00 Bonus: Keys to a Successful VC Pitch 00:10:00 Outline Presentation Checklist 00:12:00 What is TAM, SAM and SOM and Why are They Important 00:05:00 AIDA - Why Pitching VCs is Like Buying a Car! 00:05:00 Selling Your Pitch 00:11:00 Pitching to Win. 00:10:00 How to Run the Meeting 00:08:00 Outline Management Presentation 00:13:00 Defending Your Plan 00:09:00 ACTIVITY: Create Your Own Presentation 00:01:00 Managing The Fundraising Process Can You Find Me The Right Investor. An Overview of the Process 00:15:00 How do Venture Capitalists Source Deals 00:03:00 How TO Find Angel Investors 00:04:00 How to Find Venture Capital Investors 00:02:00 BONUS: How to Find a Venture Capital Investor for Your Tech Company 00:10:00 What Happens Next The Investment Process 00:05:00 How to Manage The Investment Process 00:04:00 Venture Capital Term Sheets What is a Term Sheet Part 1 00:08:00 What is a Term Sheet Part 2 00:11:00 Key Concepts in Term Sheets 00:10:00 What is a Term Sheet Trying to Achieve 00:10:00 26 Key Components in VC Term Sheets 1 -5 00:04:00 26 Key Components in VC Term Sheets 6 - 10 00:04:00 26 Key Components in VC Term Sheets 11 - 15 00:04:00 26 Key Components in VC Term Sheets 16 - 20 00:04:00 26 Key Components in VC Term Sheets 21 - 26 00:06:00 Negotiating Term Sheets: Entrepreneurs Perspective 00:04:00 Negotiating Term Sheets: VC Perspective 00:06:00 Negotiating Term Sheets: Mutual Issues of Concern 00:02:00 Equity Crowdfunding for Entrepreneurs What is Crowdfunding 00:03:00 The Advantages of Equity Crowdfunding for the Investor 00:05:00 The Disadvantages of Crowdfunding for the Investor 00:04:00 How to Evaluate A Crowdfunding Opportunity? Introduction to How to Evaluate A Crowdfunding Opportunity 00:01:00 The Key Data You Need To Know For Any Opportunity 00:03:00 Evaluating the Business Summary 00:05:00 Evaluating the Financial Summary 00:04:00 Lets Take a look Now at Management Skills 00:03:00 Management Experience is Important as Well… 00:02:00 You must take a look at the Management's Commitment. 00:03:00 Lets Consider the Product Now and Start With The Market… 00:03:00 So, How Unique is This Product 00:03:00 What is the Competition like 00:03:00 Does The Product Have (All Important) Traction 00:03:00 How Profitable is the Product and Therefore the Investment 00:03:00 Lets Take a Look at the Most Critical Factor, Cash Flow 00:03:00 Finally, lets See What this all Means for your Investment Returns 00:03:00 Discover how you can turn this information into a Methodology. 00:02:00 Lets Summarise this Section With the 10 Most Important Factors 00:02:00 Introduction With Andrew Monk, CEO iolight About his Crowdfunding Experience Introduction 00:02:00 Why Did you Go For Equity Crowdfunding 00:04:00 What Did You Do Early On To Ensure Success 00:03:00 How Did You Go About Lining Up Your 25% 00:02:00 Did You Set About Trying To Collect Email Addresses 00:03:00 Lets Have The Investor Conversation 00:06:00 Are There Any Mistakes Looking Back You May Have Made 00:08:00 So What Is It Like By The End Of Week Three 00:07:00 How Does Crowdcube Get The Money To You 00:09:00 Are There Any Other Tools You Used That You Can Recommend 00:04:00 Bonus: Discussion About Campaign Videos 00:04:00 Summary and Wrap Up Course Summary And Wrap Up 00:03:00 Obtain Your Certificate Order Your Certificate of Achievement 00:00:00 Get Your Insurance Now Get Your Insurance Now 00:00:00 Feedback Feedback 00:00:00

HR Management: HR Management Training Online Learn to Ensure a positive work environment by nurturing and supporting employees with our HR Management: HR Management course. Are you prepared to advance in your HR profession with this HR Management course? Get information and abilities from the HR Management: HR Management course that will enable you to strategically implement HR initiatives. The organisation and its personnel will both be guided toward long-term success by our HR Management: HR Management course. Each HR management class breaks down in different HR management topics and offers comprehensive advice that will enhance your HR management skills. Throughout this HR Management: HR Management course, you'll discover what it actually means to work in human resources management. Also, you will learn fresh methods for addressing conflicts at work in our HR Management: HR Management course. Studying HR Management: HR Management may teach you about crucial HR topics including diversity and inclusion, payroll, and recruitment. You will learn how to think critically as a professional by taking this HR Management: HR Management course. You will learn all you require in this HR Management course to advance your profession. After finishing the HR Management: HR Management course, you will have the abilities and information necessary to advance into positions with greater influence over decision-making. HR Management: HR Management course Aimed at seasoned HR professionals, HR Management to make experts with specialised modules that will let you investigate particular HR fields with which you want to identify yourself. So, don't lose time, enrol now to enhance your expertise with our specialised HR Management: HR Management course. Main Course: HR Management Training Special Offers of this HR Management: HR Management Training Course This HR Management: HR Management Course includes a FREE PDF Certificate. Lifetime access to this HR Management: HR Management Course Instant access to this HR Management: HR Management Course Get FREE Tutor Support to this HR Management: HR Management Training Course HR Management: HR Management Training Strategic planning, staffing, recruitment and selection, performance management, training, and compensation are just a few of the organizational behavior and human resource (HR) topics covered in this HR Management: HR Management Course. With a focus on the most crucial subjects, our HR Management: HR Management Course guarantees that you will develop into an efficient HR Manager for your business and support the HR team appropriately. Who is this course for? HR Management: HR Management Training Those who want to advance in their existing HR Management: HR Management careers or who want to add new levels of expertise to the HR Management department should take this HR Management: HR Management course. Requirements HR Management: HR Management Training To enrol in this HR Management: HR Management Course, students must fulfil the following requirements. To join in our HR Management: HR Management Training Course, you must have a strong command of the English language. To successfully complete our HR Management: HR Management Training Course, you must be vivacious and self driven. To complete our HR Management: HR Management Training Course, you must have a basic understanding of computers. A minimum age limit of 15 is required to enrol in this HR Management: HR Management Training Course. Career path HR Management: HR Management Training You can open up a number of employment doors by completing this HR Management: HR Management Training Level 3, 5 & 7 course.

Are you embarking on the journey of mastering data analytics and visualisation in the UK? The 'Advanced Diploma in Microsoft Power BI 2021 at QLS Level 7' is your beacon. Positioned to illuminate the intricate realm of Power BI, this course offers a comprehensive look into the foundational aspects and the advanced features that make Microsoft's tool a standout. With sections meticulously designed ranging from the fundamentals, like data transformation, to advanced concepts, such as integrating Power BI with Python and storytelling with data, this course ensures learners grasp the complete spectrum. With the rising emphasis on data analytics in today's business world, this course acquaints you with Power BI's prowess. It prepares you for the sought-after Microsoft Power BI certification in the UK. Learning Outcomes Comprehend the fundamental aspects of Power BI, from initiating a project to understanding the user interface. Develop proficiency in advanced data transformation techniques and data model creation. Integrate Python with Power BI and harness the benefits of both for enhanced data analytics. Master the art of 'Storytelling with Data' to deliver impactful presentations and reports. Understand and implement Row-Level Security and harness Power BI Cloud services efficiently. Why choose this Advanced Diploma in Microsoft Power BI 2021 at QLS Level 7? Unlimited access to the course for a lifetime. Opportunity to earn a certificate accredited by the CPD Quality Standards after completing this course. Structured lesson planning in line with industry standards. Immerse yourself in innovative and captivating course materials and activities. Assessments are 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. Who is this Advanced Diploma in Microsoft Power BI 2021 at QLS Level 7 for? Individuals keen on obtaining the Microsoft power bi certification UK. Analysts and data professionals aspiring to enhance their data visualisation skills. Business professionals wanting to leverage Power BI for insightful business decision-making. Tech enthusiasts aiming to amalgamate programming (Python) with data analytics. Those seeking to stay updated with the latest trends in Power BI and its evolving capabilities. Career path Data Analyst: Average Salary £30,000 - £40,000 Annually Business Intelligence Developer: Average Salary £35,000 - £45,000 Annually Power BI Developer: Average Salary £40,000 - £50,000 Annually Data Visualisation Specialist: Average Salary £32,000 - £42,000 Annually Business Intelligence Manager: Average Salary £45,000 - £55,000 Annually Data Strategy Consultant: Average Salary £50,000 - £60,000 Annually Prerequisites This Advanced Diploma in Microsoft Power BI 2021 at QLS Level 7 does not require you to have any prior qualifications or experience. You can just enrol and start learning. This course 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: Introduction Welcome! 00:01:00 What is Power BI? 00:03:00 Download & Installing Power BI Desktop 00:04:00 Getting to know the interface 00:03:00 Mini Project: Transform Data 00:07:00 Mini Project: Visualize Data 00:05:00 Mini Project: Creating a Data Model 00:07:00 Course Outline: What will you learn in this course? 00:05:00 How to learn best with this course? 00:03:00 Section 02: Preparing our Project Creating our initial project file 00:04:00 Working with the attached project files 00:04:00 Section 03: Data Transformation - The Query Editor Exploring the Query Editor 00:06:00 Connecting to our data source 00:07:00 Editing rows 00:08:00 Changing data types 00:08:00 Replacing values 00:03:00 Close & Apply 00:03:00 Connecting to a csv file 00:03:00 Connecting to a web page 00:05:00 Extracting characters 00:06:00 Splitting & merging columns 00:09:00 Creating conditional columns 00:06:00 Creating columns from examples 00:09:00 Merging Queries 00:17:00 Pivoting & Unpivoting 00:06:00 Appending Queries 00:08:00 Practice & Solution: Population table 00:15:00 The Fact-Dimension-Model 00:09:00 Practice: Load the dimension table 00:04:00 Organizing our queries in groups 00:03:00 Entering data manually 00:05:00 Creating an index column 00:03:00 Workflow & more transformations 00:05:00 Module summary 00:05:00 Exercise 1 - Instruction 00:02:00 Exercise Solution 00:11:00 Section 04: Data Transformation - Advanced Advanced Editor - Best practices 00:09:00 Performance: References vs. Duplicating 00:10:00 Performance: Enable / Disable Load & Report Refresh 00:05:00 Group by 00:05:00 Mathematical Operations 00:05:00 Run R Script 00:15:00 Using Parameters to dynamically transform data 00:06:00 M formula language: Basics 00:07:00 M formula language: Values, Lists & Tables 00:14:00 M formula language: Functions 00:13:00 M formula language: More functions & steps 00:05:00 Exercise 2 - Instructions 00:01:00 Exercise 2 - solution 00:05:00 Section 05: Creating a Data Model Understanding the relationship 00:05:00 Create & edit relationships 00:06:00 One-to-many & one-to-one relationship 00:06:00 Many-to-many (m:n) relationship 00:08:00 Cross filter direction 00:06:00 Activate & deactivate relationships 00:06:00 Model summary 00:03:00 Exercise 3 Create Model 00:03:00 Exercise 3 Solution 00:02:00 Section 06: Data Visualization Our first visual 00:08:00 The format tab 00:12:00 Understanding tables 00:10:00 Conditional formatting 00:09:00 The Pie Chart 00:06:00 All about the filter visual 00:13:00 The filter pane for developers 00:09:00 Cross filtering & edit interactions 00:04:00 Syncing slicers across pages 00:07:00 Creating drill downs 00:08:00 Creating drill throughs 00:07:00 The tree map visual 00:07:00 The decomposition tree 00:05:00 Understanding the matrix visual 00:05:00 Editing pages 00:07:00 Buttons & Actions 00:09:00 Bookmarks to customize your report 00:10:00 Analytics and Forecasts with line charts 00:10:00 Working with custom visuals 00:07:00 Get data using R Script & R Script visual 00:08:00 Asking questions - Q&A visual 00:04:00 Wrap up - data visualization 00:08:00 Section 07: Power BI & Python Python in Power BI - Plan of attack 00:03:00 Setting up Python for Power BI 00:03:00 Transforming data using Python 00:11:00 Creating visualizations using Python 00:08:00 Violin plots, pair plots & ridge plots using Python 00:15:00 Machine learning (BayesTextAnalyzer) using Python 00:00:00 Performance & Troubleshooting 00:03:00 Section 08: Storytelling with Data Introduction 00:01:00 Show Empathy & Identify the Requirement 00:03:00 Finding the Most Suitable KPI's 00:02:00 Choose an Effective Visualization 00:04:00 Make Use of Natural Reading Pattern 00:03:00 Tell a Story Using Visual Cues 00:05:00 Avoid Chaos & Group Information 00:02:00 Warp Up - Storytelling with Data 00:02:00 Section 09: DAX - The Essentials Introduction 00:03:00 The project data 00:04:00 Measures vs. Calculated Columns 00:15:00 Automatically creating a date table in DAX 00:08:00 CALENDAR 00:05:00 Creating a complete date table with features 00:04:00 Creating key measure table 00:03:00 Aggregation functions 00:06:00 The different versions of COUNT 00:14:00 SUMX - Row based calculations 00:09:00 Section 10: DAX - The CALCULATE function CALCULATE - The basics 00:11:00 Changing the context with FILTER 00:07:00 ALL 00:08:00 ALL SELECTED 00:03:00 ALL EXCEPT 00:07:00 Section 11: Power BI Service - Power BI Cloud How to go on now? 00:03:00 Power BI Pro vs Premium & Signing up 00:04:00 Exploring the interface 00:04:00 Discovering your workspace 00:03:00 Connecting Power BI Desktop & Cloud 00:04:00 Understanding datasets & reports 00:03:00 Working on reports 00:04:00 Updating reports from Power BI Desktop 00:04:00 Creating and working with workspaces 00:07:00 Installing & using a data gateway 00:13:00 Get Quick Insights 00:03:00 Creating dashboards 00:04:00 Sharing our results through Apps 00:10:00 Power BI Mobile App 00:05:00 Creating the layout for the Mobile App 00:04:00 Wrap up Power BI Cloud 00:07:00 Section 12: Row-Level Security Introduction 00:03:00 Creating a Row-Level Security 00:05:00 Row-Level Security in the Cloud 00:04:00 Row-Level Security & Data Model 00:05:00 Dynamic Row-Level Security 00:07:00 Dynamic Many-to-Many RLS 00:04:00 Hierarchical Row-Level Security 00:13:00 Section 13: More data sources JSON & REST API 00:10:00 Setting up a local MySQL database 00:14:00 Connecting to a MySQL database in Power BI 00:05:00 Connecting to a SQL database (PostgreSQL) 00:05:00 Section 14: Next steps to improve & stay up to date Congratulations & next steps 00:06:00 The End 00:01:00 Resources Resources - Advanced Diploma in Microsoft Power BI 2021 at QLS Level 7 00:00:00 Assignment Assignment - Advanced Diploma in Microsoft Power BI 2021 at QLS Level 7 04:00:00 Order your QLS Endorsed Certificate Order your QLS Endorsed Certificate 00:00:00

This course is designed to help you understand the basic and advanced concepts of ethical hacking with ease. The course features interesting examples and coding activities in each video to keep you engaged and guides you effectively through writing programs to hack a system.

Unlock the secrets to successful sales and elevate your career with our Sales & Selling Management course. Master the art of effective sales presentations, negotiations, and customer relationships. Explore strategic planning, market analysis, and the synergy between marketing and sales. Develop essential skills in CRM, communication, and customer service. Join us to transform your approach to sales and achieve sustainable growth in today's competitive business landscape.

Explore the intricate world of urban planning with our "Introduction to Urban Planning: Process and Practices" course. Gain insights into key topics such as sustainable development, infrastructure planning, and transportation design. Discover the foundations of urban design, environmental considerations, and future trends shaping our cities. Join us in unraveling the complexities of community engagement, policy development, and innovative strategies for building resilient, smart, and sustainable urban environments. Enroll now for a transformative journey into the heart of city development and planning.

Explore ChatGPT, a cutting-edge world of AI content creation, with our comprehensive course. This meticulously curated program unravels the technology behind ChatGPT to practical applications in machine learning, social media, data analysis, and image generation. This course unveils new facets of AI to navigate this evolving landscape with prowess.

Are you ready to be at the helm, steering the ship into a realm where data is the new gold? In the infinite world of data, where information spirals at breakneck speed, lies a universe rich in potential and discovery: the domain of Data Science and Visualisation. This 'Certificate in Data Science and Visualisation with Machine Learning at QLS Level 3' course unravels the wonders of extracting meaningful insights using Python, the worldwide leading language of data experts. Harnessing the strength of Python, you'll delve deep into data analysis, experience the finesse of visualisation tools, and master the art of Machine Learning. The need to understand, interpret, and act on this data has become paramount, with vast amounts of data increasing the digital sphere. Envision a canvas where raw numbers are transformed into visually compelling stories, and machine learning models foretell future trends. This course provides a meticulous pathway for anyone eager to learn the data representation paradigms backed by Python's robust libraries. Dive into a curriculum rich with analytical explorations, visual artistry, and machine learning predictions. Learning Outcomes Understanding the foundations and functionalities of Python, focusing on its application in data science. Applying various Python libraries like NumPy and Pandas for effective data analysis. Demonstrating proficiency in creating detailed visual narratives using tools like matplotlib, Seaborn, and Plotly. Implementing Machine Learning algorithms in Python using scikit-learn, ranging from regression models to clustering techniques. Designing and executing a holistic data analysis and visualisation project, encapsulating all learned techniques. Exploring advanced topics, encompassing recommender systems and natural language processing with Python. Attaining the confidence to independently analyse complex data sets and translate them into actionable insights.   Video Playerhttps://studyhub.org.uk/wp-content/uploads/2021/03/Data-Science-and-Visualisation-with-Machine-Learning.mp400:0000:0000:00Use Up/Down Arrow keys to increase or decrease volume. Why buy this Certificate in Data Science and Visualisation with Machine Learning at QLS Level 3? Unlimited access to the course for a lifetime. Opportunity to earn a certificate accredited by the CPD Quality Standards after completing this course. Structured lesson planning in line with industry standards. Immerse yourself in innovative and captivating course materials and activities. Assessments are designed to evaluate advanced cognitive abilities and skill proficiency. Flexibility to complete the Certificate in Data Science and Visualisation with Machine Learning at QLS Level 3 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. Who is this Certificate in Data Science and Visualisation with Machine Learning at QLS Level 3 course for? Aspiring data scientists aiming to harness the power of Python. Researchers keen to enrich their analytical and visualisation skills. Analysts aiming to add machine learning to their toolkit. Developers striving to integrate data analytics into applications. Business professionals desiring data-driven decision-making capabilities. Career path Data Scientist: £55,000 - £85,000 Per Annum Machine Learning Engineer: £60,000 - £90,000 Per Annum Data Analyst: £30,000 - £50,000 Per Annum Data Visualisation Specialist: £45,000 - £70,000 Per Annum Natural Language Processing Specialist: £65,000 - £95,000 Per Annum Business Intelligence Developer: £40,000 - £65,000 Per Annum Prerequisites This Certificate in Data Science and Visualisation with Machine Learning at QLS Level 3 does not require you to have any prior qualifications or experience. You can just enrol and start learning. This Certificate in Data Science and Visualisation with Machine Learning at QLS Level 3 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 £85 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 Welcome, Course Introduction & overview, and Environment set-up 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 Essentials 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 Python for Data Analysis using NumPy 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 Python for Data Analysis using Pandas 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 Python for Data Visualization using matplotlib 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 Python for Data Visualization using Seaborn 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 Python for Data Visualization using pandas Pandas Built-in Data Visualization 00:34:00 Pandas Data Visualization Exercises Overview 00:03:00 Panda Data Visualization Exercises Solutions 00:13:00 Python for interactive & geographical plotting using Plotly and Cufflinks 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 Capstone Project - Python for Data Analysis & Visualization 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 Python for Machine Learning (ML) - scikit-learn - Linear Regression Model 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 Python for Machine Learning - scikit-learn - Logistic Regression Model 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 Python for Machine Learning - scikit-learn - K Nearest Neighbors 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 Python for Machine Learning - scikit-learn - Decision Tree and Random Forests 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 Python for Machine Learning - scikit-learn -Support Vector Machines (SVMs) 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 Python for Machine Learning - scikit-learn - K Means Clustering 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 Python for Machine Learning - scikit-learn - Principal Component Analysis (PCA) 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 Recommender Systems with Python - (Additional Topic) 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 Python for Natural Language Processing (NLP) - NLTK - (Additional Topic) 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 Resources - Data Science and Visualisation with Machine Learning 00:00:00 Order your QLS Endorsed Certificate Order your QLS Endorsed Certificate 00:00:00

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