3559 Analyst courses in Downpatrick delivered On Demand

Overview of Payroll Management Course In today's fast-paced business world, efficient payroll management is the lifeblood of any organisation. The UK's payroll industry is a thriving sector, with an estimated market value of £1.46 billion in 2021. As businesses evolve and regulations change, the demand for skilled payroll professionals continues to soar. Our comprehensive Payroll Management Course is designed to equip you with the essential knowledge and skills needed to excel in this dynamic field. From understanding the intricacies of UK payroll systems to mastering year-end procedures, this course covers every aspect of payroll administration. You'll delve into crucial topics such as legislation settings, pension schemes, and e-submissions, ensuring you're well-prepared for the challenges of modern payroll management. Whether you're an aspiring payroll professional or a seasoned finance expert looking to upskill, this course offers a clear path to success. With the UK payroll software market projected to grow at a CAGR of 9.2% from 2021 to 2028, now is the perfect time to invest in your payroll management education. Join us and unlock a world of opportunities in this essential and rewarding field. This Payroll Management Course will help you to learn: Understand the structure and basics of the UK's payroll system. Familiarise with legislation and company-specific payroll settings. Comprehend pension schemes and various pay elements. Master the processes for adding and updating employee records. Manage monthly payroll runs, including anomalies and leavers. Navigate year-end procedures, reports, and historical payroll data. This course covers the topic you must know to stand against the tough competition. The future is truly yours to seize with this Payroll Management Course. Enrol today and complete the course to achieve a certificate that can change your career forever. Details Perks of Learning with IOMH One-To-One Support from a Dedicated Tutor Throughout Your Course. Study Online - Whenever and Wherever You Want. Instant Digital/ PDF Certificate. 100% Money Back Guarantee. 12 Months Access. Process of Evaluation After studying the course, an MCQ exam or assignment will test your skills and knowledge. You have to get a score of 60% to pass the test and get your certificate. Certificate of Achievement Certificate of Completion - Digital/PDF Certificate After completing the Payroll Management Course, you can order your CPD Accredited Digital / PDF Certificate for £5.99.  Certificate of Completion - Hard copy Certificate You can get the CPD Accredited Hard Copy Certificate for £12.99. (Each) Shipping Charges: Inside the UK: £3.99 International: £10.99 Who Is This Course for? Finance professionals seeking to expand their knowledge in payroll management. HR personnel transitioning into payroll-related roles. Small business owners managing their own payroll systems. Accounting students aiming to specialise in payroll administration. Individuals looking to start a career in payroll management. Requirements There is no prerequisite to enrol in this course. You don't need any educational qualification or experience to enrol in the Payroll Management Course course. Do note: you must be at least 16 years old to enrol. Any internet-connected device, such as a computer, tablet, or smartphone, can access this online course. Career Path Payroll Administrator: £20K to £26K/year. Payroll Manager: £30K to £45K/year. HR Officer with Payroll Duties: £16K to £25K/year. Payroll Consultant: £25K to £40K/year. Payroll Systems Analyst: £28K to £35K/year. Course Curriculum Module 01: Payroll System in the UK Payroll System in the UK 01:05:00 Module 02: Payroll Basics Payroll Basics 00:10:00 Module 03: Company Settings Company Settings 00:08:00 Module 04: Legislation Settings Legislation Settings 00:07:00 Module 05: Pension Scheme Basics Pension Scheme Basics 00:06:00 Module 06: Pay Elements Pay Elements 00:14:00 Module 07: The Processing Date The Processing Date 00:07:00 Module 08: Adding Existing Employees Adding Existing Employees 00:08:00 Module 09: Adding New Employees Adding New Employees 00:12:00 Module 10: Payroll Processing Basics Payroll Processing Basics 00:11:00 Module 11: Entering Payments Entering Payments 00:12:00 Module 12: Pre-Update Reports Pre-Update Reports 00:09:00 Module 13: Updating Records Updating Records 00:09:00 Module 14: e-Submissions Basics e-Submissions Basics 00:09:00 Module 15: Process Payroll (November) Process Payroll (November) 00:16:00 Module 16: Employee Records and Reports Employee Records and Reports 00:13:00 Module 17: Editing Employee Records Editing Employee Records 00:07:00 Module 18: Process Payroll (December) Process Payroll (December) 00:12:00 Module 19: Resetting Payments Resetting Payments 00:05:00 Module 20: Quick SSP Quick SSP 00:09:00 Module 21: An Employee Leaves An Employee Leaves 00:13:00 Module 22: Final Payroll Run Final Payroll Run 00:07:00 Module 23: Reports and Historical Data Reports and Historical Data 00:08:00 Module 24: Year-End Procedures Year-End Procedures 00:09:00

Level 7 QLS Endorsed Diploma | 180 CPD Points | +Gifts: QLS Certificate + PDF Certificate | 24/7 Learner Support

Level 7 QLS Endorsed Diploma | 180 CPD Points | +Gifts: QLS Certificate + PDF Certificate | 24/7 Learner Support

Thinking about learning more about how Artificial Intelligence can help in a business? The BCS Foundation Award - How AI Can Support Your Organisation explores the evolution of AI from its inception to present day, and identify potential future AI opportunities which exist to drive organisational strategy at all levels. It considers how AI can make improvements to processes, products and services, enabling an organisation to gain a competitive edge within the market, and the benefits and potential implications it has for the human workforce. You will learn the evolution of AI, an understanding of the shape and structure of organisations, an understanding of the role of AI in an organisation and an understanding of the art of the possible.

Workplace Productivity Training: Thrive in the UK's Dynamic Workforce! Employee productivity is crucial for organisational success in today's fast-paced and demanding work environment. This comprehensive online Workplace Productivity Training course provides proven strategies and techniques to boost workplace productivity. Learn how to organise, communicate, manage time, resolve conflicts, and maintain health and wellbeing effectively. With these essential workplace skills, you'll be able to accomplish more each day, deliver better results, and advance your career. Join over 1,000 professionals who have completed this top-rated productivity training and seen tangible improvements in their work performance, focus, and impact. Enrol now and gain the skills to work smarter, maximise your potential, and become a highly productive employee. Invest in 'Workplace Productivity Training' today and unlock your potential to thrive in the UK's dynamic workforce. You will Learn The Following Things: Discover actionable strategies to maximise your output and minimise time wastage. Master organisational skills to conquer clutter and prioritise tasks effectively. Build compelling communication skills for confident collaboration and conflict resolution. Tame time management with practical techniques to meet deadlines and maintain work-life balance. Navigate workplace conflicts with assertiveness and emotional intelligence. Cultivate a culture of health, safety, and wellbeing within your organisation. Develop resilience against stress and anxiety, enhancing your mental wellbeing at work. This course covers the topic you must know to stand against the tough competition. The future is truly yours to seize with this Workplace Productivity Training. Enrol today and complete the course to achieve a certificate that can change your career forever. Details Perks of Learning with IOMH One-to-one support from a dedicated tutor throughout your course. Study online - whenever and wherever you want. Instant Digital/ PDF certificate 100% money back guarantee 12 months access Process of Evaluation After studying the course, an MCQ exam or assignment will test your skills and knowledge. You have to get a score of 60% to pass the test and get your certificate. Certificate of Achievement After completing the Workplace Productivity Training course, you will receive your CPD-accredited Digital/PDF Certificate for £5.99. To get the hardcopy certificate for £12.99, you must also pay the shipping charge of just £3.99 (UK) and £10.99 (International). Who Is This Course for? Ambitious professionals are seeking to streamline their workdays and climb the career ladder. Individuals are looking to build effective communication skills for a seamless collaborative environment. Anyone wanting to conquer stress and anxiety, fostering a healthy and balanced work-life harmony. Team leaders and managers aim to optimise the performance of their teams. Employees strive to adapt to new technologies and work practices while maintaining peak productivity. Requirements There is no prerequisite to enrol in this course. You don't need any educational qualification or experience to enrol in the Workplace Productivity Training course. Do note: you must be at least 16 years old to enrol. Any internet-connected device, such as a computer, tablet, or smartphone, can access this online course. Career Path Business Analyst: £30K to 55K/year. Project Manager: £35K to 65K/year. HR Manager: £38K to 70K/year. Marketing Manager: £32K to 58K/year. Sales Manager: £35K to 60K/year Course Curriculum Module 01: Ways to Improve Workplace Productivity Ways to Improve Workplace Productivity 00:39:00 Module 02: Organisational Skills to Improve Productivity Organisational Skills to Improve Productivity 00:21:00 Module 03: Productive Communication Skills in the Workplace Productive Communication Skills in the Workplace 00:27:00 Module 04: Time Management Time Management 00:35:00 Module 05: Conflict Management Conflict Management 00:14:00 Module 06: Health, Safety and Wellness in the Workplace Health, Safety and Wellness at Workplace 00:27:00 Module 07: Managing Stress and Coping Anxiety in the Workplace Managing Stress and Coping Anxiety in the Workplace 00:26:00 Assignment Assignment - Workplace Productivity Training 00:00:00

Start a thrilling journey into the digital world of cryptocurrencies with our comprehensive course, 'Cryptocurrency: Wallets, Investing & Trading'. Imagine a future where you confidently navigate the cryptocurrency market, understand the intricacies of cryptocurrency prices, and keep abreast of the latest cryptocurrency news. This course offers a deep dive into the exciting realm of digital currencies, from the basics of 'what is cryptocurrency' to the complexities of trading and investing strategies. Delve into the heart of cryptocurrencies, exploring various aspects like cryptocurrency wallets, investment tactics, and the dynamic nature of cryptocurrency prices live. Whether grasping the fundamentals of pi cryptocurrency or mastering the art of trading, our curriculum is meticulously designed to equip you with a robust understanding of the digital currency world. As the topic continues to revolutionise the financial landscape, this course positions you at the forefront of this digital revolution, turning you into an astute investor and trader. Completing this course doesn't just end with knowledge gain; it's the start of a journey into a world where digital currencies like Bitcoin, Ethereum, and many others play pivotal roles. Stay updated with cryptocurrency news and market trends, learn to analyse cryptocurrency price fluctuations, and make informed decisions. Whether for personal interest or professional development, this course is your gateway to mastering the world of cryptocurrencies. Learning Outcomes: Acquire a thorough understanding of its fundamentals, including its history, technology, and different types. Learn effective strategies for purchasing and investing in cryptocurrencies, maximising potential returns. Master the skills of setting up and managing cryptocurrency wallets, ensuring safe storage of digital assets. Gain proficiency in trading, including technical analysis, reading candlestick charts, and applying trading strategies. Understand the evolving landscape of cryptocurrencies and stay updated with the latest trends and developments. Why buy this Cryptocurrency: Wallets, Investing & Trading? 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. Certification After studying the course materials of the Cryptocurrency: Wallets, Investing & Trading there will be a written assignment test which you can take either during or at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for free. Original Hard Copy certificates need to be ordered at an additional cost of £8. Who is this Cryptocurrency: Wallets, Investing & Trading course for? Individuals interested in diving into the digital currency space, seeking a solid foundation in cryptocurrency. Investors looking to diversify their portfolios with digital currencies. Finance professionals aiming to expand their expertise into the growing field of cryptocurrency. Tech enthusiasts eager to understand the mechanics behind cryptocurrencies and their applications. Anyone curious about digital currencies and looking to stay informed about the dynamic cryptocurrency market. Prerequisites This Cryptocurrency: Wallets, Investing & Trading does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Cryptocurrency: Wallets, Investing & Trading 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. Career path Cryptocurrency Analyst: £40,000 - £60,000 Per Annum Blockchain Developer: £50,000 - £70,000 Per Annum Trader: £45,000 - £65,000 Per Annum Digital Currency Advisor: £35,000 - £55,000 Per Annum Compliance Officer for Cryptocurrencies: £30,000 - £50,000 Per Annum Content Writer: £25,000 - £40,000 Per Annum Course Curriculum Section 01: Welcome to the Course! Cryptocurrency | Welcome to the Course 00:03:00 Course Agenda | What We Will Cover 00:01:00 Section 02: Introduction to Cryptocurrency Introduction | Why Cryptocurrency? 00:04:00 Cryptocurrency & Blockchain Essentials 00:03:00 Cryptocurrency | Key Events from 2017 00:05:00 The Future of Blockchain Technology & Crypocurrency 00:04:00 Section 03: Purchase Cryptocurrency | How to Purchase Any Cryptocurrency Purchase Cryptocurrency | Section Overview 00:03:00 Create Your Coinbase Account | Cryptocurrency Exchange 00:04:00 Make Your First Cryptocurrency Purchase | Coinbase Tools & Features 00:07:00 Coinbase Mobile App | Download & Review 00:05:00 How to Purchase Alt-coins | Other Cryptocurrency Exchanges Overview 00:02:00 Bitfinex | Cryptocurrency Exchange Platform Overview 00:03:00 Bittrex | Cryptcurrency Exchange Platform Overview 00:05:00 Kraken | Cryptocurrency Exchange Platform Overview 00:03:00 Binance | Cryptocurrency Exchange Platform Overview 00:03:00 Bitcoin ATM | How to Purchase Bitcoin from A Bitcoin ATM 00:08:00 Make A Purchase Using Bitcoin | How to Use Cryptocurrency 00:05:00 Section 04: Cryptocurrency Wallets & Storage | How to Setup & Add Cryptocurrency to Wallets Cryptocurrency Wallets | Section Overview 00:03:00 Online Wallets | Best For Purchasing & Trading Cryptocurrency 00:02:00 Hardware Wallets | Long Term Storage & Large Amounts of Cryptocurrency 00:12:00 Desktop Wallets | Manage Your Cryptocurrency Portfolio on Your Desktop 00:07:00 Mobile Wallets | Simple & Easy Way to Store Cryptocurrency 00:08:00 Paper Wallets | Free Option to Securely Store Cryptocurrency 00:07:00 Section 05: Cryptocurrency Investing | Investing Strategies & Tips for Cryptocurrency Cryptocurrency Investing Strategies | Section Overview 00:05:00 Dollar Cost Averaging (DCA) | Averaging Into Positions 00:04:00 Contrarian Investing | Using the RSI to Buy 'The Dips' 00:03:00 Diversification | Diversify Your Portfolio 00:03:00 Support Levels | Finding Support Levels & Setting Price Alerts 00:05:00 Just HODL It! | Strategy of 'HODLing on For Dear Life' 00:03:00 Long Term Storage Options | Best Wallets for Cryptocurrency Investing 00:02:00 Investor Terminology | Slang & Terminology Used By Cryptocurrency Investors 00:03:00 Section 06: Cryptocurrency Trading | Technical Analysis, Candlestick Charts & Strategies How to Trade Cryptocurrency | Section Overview 00:03:00 Top Mistakes Made By New Traders | Avoid These! 00:02:00 Technical vs Fundamental Trading | Trading Styles Review 00:04:00 Technical Analysis for Cryptocurrency | Introduction to Technical Analysis 00:03:00 Candlestick Charts | How to Read & Understand Candlestick Charts 00:08:00 Indicators & Overlays | Candlestick Chart Technical Analysis 00:06:00 How to Place Trades on Trading Exchanges | Transfer & Trade Cryptocurrency 00:10:00 Moving Averages | Moving Average Crossover Strategy for Trading 00:05:00 Bollinger Bands | Using Bollinger Bands for Trading & Measuring Volatility 00:05:00 Support & Resistance Levels | Finding Support & Resistance Levels For Trading 00:03:00 MACD | Using the Moving Average Convergence/ Divergence Oscillator for Trading 00:04:00 RSI (Relative Strength Index) | Finding Overbought & Oversold Entry Points 00:03:00 Crypto Stocks & ETFs | Trade Cryptocurrency Volatility with Stocks & ETFs 00:05:00 Section 07: BONUS SECTION: Steemit | How to Get Started on Steemit Bonus Lecture 00:14:00 Assignment Assignment - Cryptocurrency: Wallets Investing & Trading 00:00:00

Level 3 QLS Endorsed Diploma | 120 CPD Points | +Gifts: QLS Certificate + PDF Certificate | 24/7 Learner Support

Overview In the era where information is abundant and decisions are driven by data, have you ever pondered, 'what is machine learning?' or 'what is data science?' Dive into the realm of 'Data Science & Machine Learning with R from A-Z,' a comprehensive guide to unravel these complexities. This course effortlessly blends the foundational aspects of data science with the intricate depths of machine learning algorithms, all through the versatile medium of R. As the digital economy booms, the demand for machine learning jobs continues to surge. Equip yourself with the proficiency to navigate this dynamic field and transition from being an inquisitive mind to a sought-after professional in the space of data science and machine learning with R. Learning Outcomes: Understand the foundational concepts of data science and machine learning. Familiarise oneself with the R environment and its functionalities. Master data types, structures, and advanced techniques in R. Acquire proficiency in data manipulation and visual representation using R. Generate comprehensive reports using R Markdown and design web applications with R Shiny. Gain a thorough understanding of machine learning methodologies and their applications. Gain insights into initiating a successful career in the data science sector. Why buy this Data Science & Machine Learning with R from A-Z course? Unlimited access to the course for forever Digital Certificate, Transcript, student ID all included in the price Absolutely no hidden fees Directly receive CPD accredited qualifications after course completion Receive one to one assistance on every weekday from professionals Immediately receive the PDF certificate after passing Receive the original copies of your certificate and transcript on the next working day Easily learn the skills and knowledge from the comfort of your home Certification After studying the course materials of the Data Science & Machine Learning with R from A-Z there will be a written assignment test which you can take either during or at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £5.99. Original Hard Copy certificates need to be ordered at an additional cost of £9.60. Who is this Data Science & Machine Learning with R from A-Z course for? This course is ideal for Individuals keen on exploring the intricacies of machine learning and data science. Aspiring data analysts and scientists looking to specialise in Machine Learning with R. IT professionals aiming to diversify their skill set in the emerging data-driven market. Researchers seeking to harness the power of R for data representation and analysis. Academics and students aiming to bolster their understanding of modern data practices with R. Prerequisites This Data Science & Machine Learning with R from A-Z does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Data Science & Machine Learning with R from A-Z 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. Career path Data Scientist - Average salary range: £35,000 - £70,000 Per Annum Machine Learning Engineer - Average salary range: £50,000 - £80,000 Per Annum Data Analyst - Average salary range: £28,000 - £55,000 Per Annum R Developer - Average salary range: £30,000 - £60,000 Per Annum R Shiny Web Developer - Average salary range: £32,000 - £65,000 Per Annum Machine Learning Researcher - Average salary range: £40,000 - £75,000 Per Annum Course Curriculum Data Science and Machine Learning Course Intro Data Science and Machine Learning Introduction 00:03:00 What is Data Science 00:10:00 Machine Learning Overview 00:05:00 Who is This Course for 00:03:00 Data Science and Machine Learning Marketplace 00:05:00 Data Science and Machine Learning Job Opportunities 00:03:00 Getting Started with R Getting Started 00:11:00 Basics 00:06:00 Files 00:11:00 RStudio 00:07:00 Tidyverse 00:05:00 Resources 00:04:00 Data Types and Structures in R Unit Introduction 00:30:00 Basic Type 00:09:00 Vector Part One 00:20:00 Vectors Part Two 00:25:00 Vectors - Missing Values 00:16:00 Vectors - Coercion 00:14:00 Vectors - Naming 00:10:00 Vectors - Misc 00:06:00 Creating Matrics 00:31:00 List 00:32:00 Introduction to Data Frames 00:19:00 Creating Data Frames 00:20:00 Data Frames: Helper Functions 00:31:00 Data Frames Tibbles 00:39:00 Intermediate R Intermediate Introduction 00:47:00 Relational Operations 00:11:00 Conditional Statements 00:11:00 Loops 00:08:00 Functions 00:14:00 Packages 00:11:00 Factors 00:28:00 Dates and Times 00:30:00 Functional Programming 00:37:00 Data Import or Export 00:22:00 Database 00:27:00 Data Manipulation in R Data Manipulation in R Introduction 00:36:00 Tidy Data 00:11:00 The Pipe Operator 00:15:00 The Filter Verb 00:22:00 The Select Verb 00:46:00 The Mutate Verb 00:32:00 The Arrange Verb 00:10:00 The Summarize Verb 00:23:00 Data Pivoting 00:43:00 JSON Parsing 00:11:00 String Manipulation 00:33:00 Web Scraping 00:59:00 Data Visualization in R Data Visualization in R Section Intro 00:17:00 Getting Started 00:16:00 Aesthetics Mappings 00:25:00 Single Variable Plots 00:37:00 Two Variable Plots 00:21:00 Facets, Layering, and Coordinate Systems 00:18:00 Styling and Saving 00:12:00 Creating Reports with R Markdown Creating with R Markdown 00:29:00 Building Webapps with R Shiny Introduction to R Shiny 00:26:00 A Basic R Shiny App 00:31:00 Other Examples with R Shiny 00:34:00 Introduction to Machine Learning Machine Learning Part 1 00:22:00 Machine Learning Part 2 00:47:00 Starting A Career in Data Science Starting a Data Science Career Section Overview 00:03:00 Data Science Resume 00:04:00 Getting Started with Freelancing 00:05:00 Top Freelance Websites 00:05:00 Personal Branding 00:05:00 Importance of Website and Blo 00:04:00 Networking Do's and Don'ts 00:04:00 Assignment Assignment - Data Science & Machine Learning with R 00:00:00

This course provides practical training in all areas of sustainable energy, including renewable energy sources, photovoltaic systems and sustainable energy technologies. You will learn about the impact of sustainable energy on the environment and will explore wind, solar, ocean and geothermal energy in detail. This course is ideal for those who are looking to fast track their career in the energy sector. It includes case studies and practical exercises that are designed for those who have little knowledge of sustainable technologies in this field. Learning Objective: Be able to identify the different types of non-renewable energy Demonstrate an understanding of sustainable energy technologies & systems Understand how wind, solar, ocean and geothermal energy works Learn about the potential applications of different renewable energy sources Broaden your understanding of the environmental impacts of renewable energy technologies Fast track your career with an endorsed certificate in Sustainable Energy Explore the idea of hydrogen fuel cells as a source of renewable power Develop your understanding of the future of energy systems Learn about photovoltaic systems and how solar energy is harnessed Who is This Course for? This endorsed training course in Sustainable Energy is ideal for those who are interested in working in the sustainable and renewable energy sector, as well as those who would like to gain a more in-depth understanding of sustainable energy sources. Our online courses are specially designed for distance learning, offering flexible virtual classroom modules that you can study at your own convenience. There are no specific entry requirements for the course, which can be studied part-time or full-time. Entry Requirement: This course is available to all learners, of all academic backgrounds. Learners should be aged 16 or over to undertake the course. Good understanding of English language, numeracy and ICT are required to attend this course. Career Path This introductory to sustainable energy course is designed to equip you with the skills and practical knowledge to work in the following professions: Sustainable Energy Consultant Graduate Energy Specialist Energy and Utilities Analyst Energy Engineer Course Curriculum Module 1: History of Energy Consumption Module 1: History of Energy Consumption 00:35:00 Assessment Module 1 Module 01 Final Quiz Exam - Sustainable Energy 00:10:00 Module 2: Non-Renewable Energy Module 2: Non-Renewable Energy 00:30:00 Assessment Module 2 Module 02 Final Quiz Exam - Sustainable Energy 00:10:00 Module 3: Basics of Sustainable Energy Module 3: Basics of Sustainable Energy 00:30:00 Assessment Module 3 Module 03 Final Quiz Exam - Sustainable Energy 00:10:00 Module 4: Fuel Cell Module 4: Fuel Cell 00:45:00 Assessment Module 4 Module 04 Final Quiz Exam - Sustainable Energy 00:10:00 Module 5: Solar Energy Module 5: Solar Energy 00:50:00 Assessment Module 5 Module 05 Final Quiz Exam - Sustainable Energy 00:10:00 Module 6: Wind Energy Module 6: Wind Energy 01:20:00 Assessment Module 6 Module 06 Final Quiz Exam - Sustainable Energy 00:10:00 Model 7: Ocean Energy Module 7: Ocean Energy 00:30:00 Assessment Module 7 Module 07 Final Quiz Exam - Sustainable Energy 00:10:00 Module 8: Geothermal Energy Module 8: Geothermal Energy 00:35:00 Assessment Module 8 Module 08 Final Quiz Exam - Sustainable Energy 00:10:00 Module 9: Application of Renewable Energy Module 9: Application of Renewable Energy 00:15:00 Assessment Module 9 Module 09 Final Quiz Exam - Sustainable Energy 00:10:00 Module 10: Being Environment-Friendly Module 10: Being Environment-Friendly 00:25:00 Assessment Module 10 Module 10 Final Quiz Exam - Sustainable Energy 00:10:00 Order Your Certificate

Discover the power of data science and machine learning with Python! Learn essential techniques, algorithms, and tools to analyze data, build predictive models, and unlock insights. Dive into hands-on projects, from data manipulation to advanced machine learning applications. Elevate your skills and unleash the potential of Python for data-driven decision-making.