Duration 1 Days 6 CPD hours This course is intended for This class is intended for the following: Data analysts, Data scientists, Business analysts getting started with Google Cloud Platform. Individuals responsible for designing pipelines and architectures for data processing, creating and maintaining machine learning and statistical models, querying datasets, visualizing query results and creating reports. Executives and IT decision makers evaluating Google Cloud Platform for use by data scientists. Overview This course teaches students the following skills:Identify the purpose and value of the key Big Data and Machine Learning products in the Google Cloud Platform.Use Cloud SQL and Cloud Dataproc to migrate existing MySQL and Hadoop/Pig/Spark/Hive workloads to Google Cloud Platform.Employ BigQuery and Cloud Datalab to carry out interactive data analysis.Train and use a neural network using TensorFlow.Employ ML APIs.Choose between different data processing products on the Google Cloud Platform. This course introduces participants to the Big Data and Machine Learning capabilities of Google Cloud Platform (GCP). It provides a quick overview of the Google Cloud Platform and a deeper dive of the data processing capabilities. Introducing Google Cloud Platform Google Platform Fundamentals Overview. Google Cloud Platform Big Data Products. Compute and Storage Fundamentals CPUs on demand (Compute Engine). A global filesystem (Cloud Storage). CloudShell. Lab: Set up a Ingest-Transform-Publish data processing pipeline. Data Analytics on the Cloud Stepping-stones to the cloud. Cloud SQL: your SQL database on the cloud. Lab: Importing data into CloudSQL and running queries. Spark on Dataproc. Lab: Machine Learning Recommendations with Spark on Dataproc. Scaling Data Analysis Fast random access. Datalab. BigQuery. Lab: Build machine learning dataset. Machine Learning Machine Learning with TensorFlow. Lab: Carry out ML with TensorFlow Pre-built models for common needs. Lab: Employ ML APIs. Data Processing Architectures Message-oriented architectures with Pub/Sub. Creating pipelines with Dataflow. Reference architecture for real-time and batch data processing. Summary Why GCP? Where to go from here Additional Resources Additional course details: Nexus Humans Google Cloud Platform Big Data and Machine Learning Fundamentals training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the Google Cloud Platform Big Data and Machine Learning Fundamentals course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.
Data Analysis: Data Analysis Training Have you ever wondered how companies get insights from massive volumes of data to stay competitive and make wise decisions? If so, then participate in our exclusive Data Analysis: Data Analysis Course. This Data Analysis Course describes the fundamentals of data, statistics, and an introduction to Data Analysis. How to get data and where to find it is explained in the Data Analysis Course. Moreover, this Data Analysis Course covers data cleansing, preprocessing, and exploratory data analysis (EDA). Additionally, the Data Analysis Course provides an introduction to Python and Excel for Data Analysis. This thorough Data Analysis Course includes lessons on data wrangling with Pandas (python) and data visualisation using Matplotlib and Seaborn (python). Enrol in our Data Analysis Course to study the fundamentals of statistical analysis and machine learning. Main Course: Data Analysis (Data Analytics) Training Free Courses included with Data Analysis: Data Analysis Training Course: Course 01: Minute Taking Course 02: GDPR Course 03: Cyber Security [ Note: Free PDF certificate as soon as completing the Data Analysis: Data Analysis Training Course] Data Analysis: Data Analysis Training Online This Data Analysis (Data Analytics) Training consists of 12 modules. Curriculum of Data Analysis (Data Analytics) Training Course Module 1: Introduction to Data Analytics Module 2: Basics of Data and Statistics Module 3: Data Collection and Sources Module 4: Data Cleaning and Preprocessing Module 5: Exploratory Data Analysis (EDA) Module 6: Introduction to Excel for Data Analytics Module 7: Introduction to Python for Data Analytics Module 8: Data Wrangling with Pandas (Python) Module 9: Data visualisation with Matplotlib and Seaborn (Python) Module 10: Introduction to Basic Statistical Analysis Module 11: Introduction to Machine Learning Module 12: Capstone Project - Exploratory Data Analysis Assessment Method of Data Analysis (Data Analytics) Training Course After completing Data Analysis: Data Analysis Training Course, you will get quizzes to assess your learning. You will do the later modules upon getting 60% marks on the quiz test. Apart from this, you do not need to sit for any other assessments. Certification of Data Analysis (Data Analytics) Training Course After completing the Data Analysis: Data Analysis Training Course, you can instantly download your certificate for FREE. The hard copy of the certification will also be delivered to your doorstep via post, which will cost £13.99. Who is this course for? Data Analysis: Data Analysis Training Online For business professionals, entrepreneurs, or anybody else looking to have a thorough grasp of data analysis in a commercial setting, this Data Analysis Course is ideal. Requirements Data Analysis: Data Analysis Training Online To enrol in this Data Analysis: Data Analysis Training Course, students must fulfil the following requirements: Good Command over English language is mandatory to enrol in our Data Analysis Training Course. Be energetic and self-motivated to complete our Data Analysis Training Course. Basic computer Skill is required to complete our Data Analysis Training Course. If you want to enrol in our Data Analysis Training Course, you must be at least 15 years old. Career path Data Analysis: Data Analysis Training Online This Data Analysis Course will assist you in obtaining positions as a business analyst, marketing analyst, data analysis, and in related fields.
Overview With the ever-increasing demand for Data Analysis Level 3 Diploma in personal & professional settings, this online training aims at educating, nurturing, and upskilling individuals to stay ahead of the curve - whatever their level of expertise in Data Analysis Level 3 Diploma may be. Learning about Data Analysis Level 3 Diploma or keeping up to date on it can be confusing at times, and maybe even daunting! But that's not the case with this course from Compete High. We understand the different requirements coming with a wide variety of demographics looking to get skilled in Data Analysis Level 3 Diploma . That's why we've developed this online training in a way that caters to learners with different goals in mind. The course materials are prepared with consultation from the experts of this field and all the information on Data Analysis Level 3 Diploma is kept up to date on a regular basis so that learners don't get left behind on the current trends/updates. The self-paced online learning methodology by compete high in this Data Analysis Level 3 Diploma course helps you learn whenever or however you wish, keeping in mind the busy schedule or possible inconveniences that come with physical classes. The easy-to-grasp, bite-sized lessons are proven to be most effective in memorising and learning the lessons by heart. On top of that, you have the opportunity to receive a certificate after successfully completing the course! Instead of searching for hours, enrol right away on this Data Analysis Level 3 Diploma course from Compete High and accelerate your career in the right path with expert-outlined lessons and a guarantee of success in the long run. Who is this course for? While we refrain from discouraging anyone wanting to do this Data Analysis Level 3 Diploma course or impose any sort of restrictions on doing this online training, people meeting any of the following criteria will benefit the most from it: Anyone looking for the basics of Data Analysis Level 3 Diploma , Jobseekers in the relevant domains, Anyone with a ground knowledge/intermediate expertise in Data Analysis Level 3 Diploma , Anyone looking for a certificate of completion on doing an online training on this topic, Students of Data Analysis Level 3 Diploma , or anyone with an academic knowledge gap to bridge, Anyone with a general interest/curiosity Career Path This Data Analysis Level 3 Diploma course smoothens the way up your career ladder with all the relevant information, skills, and online certificate of achievements. After successfully completing the course, you can expect to move one significant step closer to achieving your professional goals - whether it's securing that job you desire, getting the promotion you deserve, or setting up that business of your dreams. Course Curriculum Module 1 Introduction to Data Analysis. Introduction to Data Analysis. 00:00 Module 2 Mathematics and Statistics. Mathematics and Statistics. 00:00 Module 3 Data Manipulation. Data Manipulation. 00:00 Module 4 Data Visualisation. Data Visualisation. 00:00 Module 5 Data Wrangling. Data Wrangling. 00:00 Module 6 Data Exploration. Data Exploration. 00:00 Module 7 Machine Learning Fundamentals. Machine Learning Fundamentals. 00:00 Module 8 Machine Learning Algorithms. Machine Learning Algorithms. 00:00 Module 9 Data Analysis with Python and Libraries. Data Analysis with Python and Libraries. 00:00 Module 10 Data Analysis with R and Libraries. Data Analysis with R and Libraries. 00:00
Course Overview: The "FinTech and Big Data Analytics" course provides an in-depth exploration of the dynamic intersection between financial technology (FinTech) and big data. Learners will gain essential knowledge about the innovative solutions disrupting the financial services industry, such as cryptocurrencies, insurtech, and regtech. The course offers insights into the tools, technologies, and trends shaping the future of finance, with a specific focus on how big data analytics is transforming business models and decision-making. By the end of the course, learners will have a comprehensive understanding of FinTech's growth and its applications, enabling them to make informed decisions in this rapidly evolving field. Course Description: This course delves deeper into the core concepts of financial technology and big data, exploring the impact of FinTech innovations on traditional financial systems. Topics covered include the rise of cryptocurrencies, regulatory technology (RegTech), the development of insurance technologies (InsurTech), and the use of big data in reshaping business strategies. Learners will explore the key technologies that drive FinTech, such as blockchain, artificial intelligence (AI), and machine learning, and learn how they enable data-driven decision-making in finance. The course prepares learners for the evolving future of FinTech, equipping them with the necessary skills to understand and navigate this transformative landscape. Course Modules: Module 01: Introduction to Financial Technology – FinTech Module 02: Exploring Cryptocurrencies Module 03: RegTech Module 04: Rise of InsurTechs Module 05: Big Data Basics: Understanding Big Data Module 06: The Future of FinTech (See full curriculum) Who is this course for? Individuals seeking to understand the financial technology landscape. Professionals aiming to advance their careers in the rapidly evolving FinTech sector. Beginners with an interest in emerging financial technologies and data analytics. Entrepreneurs looking to innovate within the financial services industry. Career Path: Financial Analyst FinTech Specialist Data Analyst in Financial Services Blockchain Developer RegTech Consultant InsurTech Specialist Big Data Analyst in Finance
Data Analysis: Data Analysis Course Would you like to acquire the skills and self-assurance necessary to make wise choices and successfully traverse the intricate and ever-changing realm of data analysis? Enrol in our Data Analysis Course. The fundamentals of data, statistics, and an introduction to data analysis are all covered in this data analysis course. The how-to of data collection and its sources are explained in the Data Analysis Course. This Data Analysis Course teaches preprocessing, data cleansing, and exploratory data analysis (EDA). An overview of Excel and Python for data analysis is explained in this Data Analysis Course. This extensive Data Analysis course includes lessons on data wrangling with Pandas (Python) and data visualisation using Matplotlib and Seaborn (Python). So, quickly join our Data Analysis Course to learn the fundamentals of machine learning and statistical analysis! Special Offers with free gifts for this Data Analysis: Data Analysis Course This Data Analysis Course course includes a FREE PDF Certificate. Lifetime access to this Data Analysis Course course Instant access to this Data Analysis Course course Get FREE Tutor Support to this Data Analysis Course Course Learning Outcome of Data Analysis Course This Data Analysis Course will help you learn about: Introduction to data analysis, basics of data, and statistics. Data Analysis Course explains how to collect data and its sources. Data cleaning, processing, and exploratory data analysis (EDA) are included in this Data Analysis Course. This Data Analysis Course describes an introduction to Excel for Data Analysis and Python for Data Analysis. Data Wrangling with Pandas (Python) and Data Visualisation with Matplotlib and Seaborn (Python) are parts of this comprehensive Data Analysis Course. With the help of this Data Analysis Course, you will learn the basics of statistical analysis and machine learning. Data Analysis: Data Analysis Course Embark on a transformative journey with our Data Analysis course, designed for beginners. Dive deep into the world of data analysis, mastering essential techniques and tools. Gain practical skills in Data Analysis, empowering you to unlock insights and drive informed decisions. Start your Data Analysis journey today! Who is this course for? Data Analysis: Data Analysis Course Anyone looking to have a thorough grasp of data analysis in a commercial setting should take this Data Analysis: Data Analysis Course. Requirements Data Analysis: Data Analysis Course To enrol in this Data Analysis: Data Analysis Course, students must fulfil the following requirements. To join in our Data Analysis: Data Analysis Course, you must have a strong command of the English language. To successfully complete our Data Analysis: Data Analysis Course, you must be vivacious and self driven. To complete our Data Analysis: Data Analysis Course, you must have a basic understanding of computers. A minimum age limit of 15 is required to enrol in this Data Analysis: Data Analysis Course. Career path Data Analysis: Data Analysis Course With the assistance of this Data Analysis Course, you can obtain work as a data analyst, business analyst, marketing analyst, or in related fields.
ð Unleash Your Potential with the Information Enterprise Launchpad Course! ð Are you ready to soar to new heights in the digital landscape? Introducing the Information Enterprise Launchpad, your ultimate guide to transforming information into success! ð In today's fast-paced world, information is power. Imagine having the skills and knowledge to harness that power and turn it into a thriving enterprise. Whether you're a seasoned entrepreneur or a budding business enthusiast, this course is designed to propel you forward. Key Features: Strategic Information Management: Learn to sift through the digital noise and extract valuable insights that can shape your business strategy. We'll guide you through the art of data analysis and interpretation. Innovative Business Models: Discover cutting-edge business models that leverage information as a core asset. From data monetization to creating a digital ecosystem, we'll explore diverse approaches that fit your unique vision. Digital Marketing Mastery: Gain a competitive edge in the digital landscape with our in-depth digital marketing modules. Learn to optimize your online presence, create compelling content, and engage with your audience effectively. Technology Integration: Stay ahead of the curve by understanding how to integrate the latest technologies into your enterprise. From AI and machine learning to blockchain, we'll demystify complex concepts and show you practical applications. Entrepreneurial Mindset Development: Cultivate the mindset of a successful entrepreneur. Overcome challenges, embrace innovation, and develop resilience in the face of uncertainty. Expert-Led Sessions: Benefit from insights shared by industry experts and successful entrepreneurs who have mastered the art of leveraging information for business growth. What You'll Gain: â Actionable Strategies: Walk away with actionable strategies that you can implement immediately to enhance your business. â Networking Opportunities: Connect with like-minded individuals and industry experts through our exclusive community forums and networking events. â Lifetime Access: Enjoy lifetime access to course materials and updates, ensuring that you stay at the forefront of the ever-evolving digital landscape. â Certificate of Completion: Receive a prestigious certificate upon successfully completing the course, showcasing your expertise in information enterprise. Don't miss your chance to revolutionize your approach to business in the digital age. The Information Enterprise Launchpad is your ticket to success! ð¥ Enroll now and embark on a journey to transform information into enterprise excellence! ð¥ Course Curriculum
Title: Mastering the Future: Digital Electrical Circuits and Intelligence Electrical Devices Course Overview: Welcome to a transformative journey into the cutting-edge realm of 'Digital Electrical Circuits and Intelligence Electrical Devices.' In today's rapidly evolving technological landscape, the demand for skilled professionals who can navigate the complexities of digital circuits and intelligent devices is greater than ever. This comprehensive course is designed to equip you with the knowledge and skills needed to not only understand but also master the intricacies of digital electrical circuits and harness the power of intelligent electrical devices. Key Features: Comprehensive Curriculum: Our course covers a wide spectrum of topics, from the fundamentals of digital electrical circuits to the advanced principles behind intelligent electrical devices. You'll delve into topics such as digital signal processing, microcontrollers, embedded systems, and more. Hands-On Learning: Theory comes to life through hands-on projects and practical exercises. You'll have the opportunity to apply your knowledge in real-world scenarios, ensuring that you not only understand the concepts but can also implement them effectively. Cutting-Edge Technologies: Stay ahead of the curve by learning about the latest advancements in digital circuits and intelligent devices. Explore the world of artificial intelligence, machine learning, and the Internet of Things (IoT) to understand how they intersect with electrical engineering. Expert Instruction: Benefit from the guidance of experienced instructors who bring a wealth of industry knowledge to the classroom. Our instructors are dedicated to your success, providing support and insights throughout the course. Industry-Relevant Projects: Gain practical experience by working on projects that mirror real-world challenges faced by professionals in the field. Build a portfolio that showcases your abilities and sets you apart in a competitive job market. Networking Opportunities: Connect with like-minded individuals and industry experts through networking events, forums, and collaborative projects. Expand your professional network and open doors to new opportunities. Flexible Learning: Designed to accommodate various schedules, our course offers flexibility through online lectures and resources. Access course materials at your own pace, allowing you to balance your learning with other commitments. Certification: Upon successful completion of the course, receive a recognized certification that validates your expertise in digital electrical circuits and intelligent electrical devices, enhancing your credibility in the job market. Whether you're a seasoned professional looking to upskill or a student aspiring to enter the field of electrical engineering, our 'Digital Electrical Circuits and Intelligence Electrical Devices' course provides the knowledge and practical experience needed to thrive in the dynamic world of technology. Enroll now to embark on a journey towards mastering the future of electrical engineering! Course Curriculum Introduction To Digital Electric Circuits Introduction To Digital Electric Circuits 00:00 Numbering Systems Numbering Systems 00:00 Binary Arithmetic Binary Arithmetic 00:00 Logic Gates Logic Gates 00:00 Flip-Flops Flip-Flops 00:00 Counters Shift Registers Counters Shift Registers 00:00 Adders Adders 00:00
Let’s face it—no one enjoys spending hours battling stubborn weeds that just keep coming back. Whether you're managing a garden, farm, or green space, knowing your enemy is half the battle. This Weed Recognition and Management Course gives you the upper hand, helping you spot the troublemakers before they spread and take over. You'll learn how to identify common (and not-so-common) weeds by their features, growth habits, and seasonal patterns—saving you time, effort, and a good bit of frustration. This course goes beyond pulling up dandelions and hoping for the best. It offers smart strategies for weed control, covering chemical, biological, and cultural methods used across the UK. Whether you're new to plant care or already knee-deep in the gardening game, the course is clear, informative, and easy to follow. Everything is online, meaning you can learn at your own pace without muddy boots or sunburn. 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 Weeds and Their Impact Module 02: Weed Identification Module 03: Weed Biology and Ecology Module 04: Physical and Cultural Weed Control Methods Module 05: Chemical Weed Control Methods Module 06: Integrated Weed Management Learning Outcomes Recognize diverse weed species through advanced identification techniques. Understand the intricate biology and ecology of weeds for effective management. Apply physical and cultural methods to control weeds in various environments. Implement chemical weed control strategies with precision and environmental consciousness. Master integrated weed management for a holistic and sustainable approach. Develop expertise in weed recognition and management for practical application. 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? Agriculture professionals seeking advanced weed management knowledge. Environmentalists aiming to contribute to ecosystem preservation. Farmers looking to enhance crop yield through effective weed control. Horticulturists interested in sustainable and integrated weed management. Landscapers desiring in-depth knowledge of weed dynamics. Conservationists striving to protect native flora and fauna. Botanists keen on understanding the ecological impact of different weed species. Individuals passionate about sustainable agriculture and environmental stewardship. Career path Agricultural Consultant Environmental Scientist Crop Protection Specialist Ecological Restoration Technician Horticulture Manager Conservation Officer 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.
Fraud isn’t just a threat—it’s a costly nuisance that keeps evolving. The Fraud Detection and Prevention Insights Course offers a sharp and timely perspective into how fraud manifests across various sectors, and what can be done to stop it in its tracks. Learners are guided through emerging patterns, warning signs, and the strategic thinking used to analyse suspicious activity with precision. It’s not about ticking off tasks—it’s about understanding the game fraudsters play. Whether you’re responsible for protecting sensitive data or you're simply tired of second-guessing red flags, this course delivers clarity without fluff. With focused insights into fraudulent tactics, digital security weaknesses, and decision-making techniques, you’ll build confidence in identifying problems before they snowball. No drama, no jargon—just straight-talking knowledge from experts who’ve seen it all. 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: An Overview of Fraud Module 02: Types of Fraud Module 03: Banking Frauds Module 04: Fraud Prevention Module 05: Fraud Detection Module 06: Fraud Evidence Module 07: Fraud Response Module 08: Fraud Investigations Module 09: Bribery Module 10: Laws & Legislation and Court Room Learning Outcomes: Identify various fraud types for proactive prevention. Implement effective strategies to detect and investigate banking frauds. Analyse and present compelling fraud evidence in legal contexts. Develop a robust response plan to mitigate the impact of fraud. Navigate bribery challenges through informed decision-making. Demonstrate a comprehensive understanding of relevant laws and legislation. 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? Finance professionals seeking fraud expertise. Law enforcement personnel focusing on financial crimes. Risk management specialists enhancing fraud prevention skills. Legal professionals involved in fraud-related cases. Auditors aiming to strengthen fraud detection capabilities. Compliance officers ensuring adherence to anti-fraud measures. Corporate investigators tackling internal fraud challenges. Students pursuing a career in fraud detection and prevention. Career path Fraud Analyst Financial Investigator Compliance Officer Forensic Accountant Risk Management Specialist Banking Security Consultant 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.