1151 Data Analysis courses in Waltham Cross delivered Online

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

Duration 3 Days 18 CPD hours This course is intended for This course is geared for experienced Scala developers who are new to the world of machine learning and are eager to expand their skillset. Professionals such as data engineers, data scientists, and software engineers who want to harness the power of machine learning in their Scala-based projects will greatly benefit from attending. Additionally, team leads and technical managers who oversee Scala development projects and want to integrate machine learning capabilities into their workflows can gain valuable insights from this course Overview Working in a hands-on learning environment led by our expert instructor you'll: Grasp the fundamentals of machine learning and its various categories, empowering you to make informed decisions about which techniques to apply in different situations. Master the use of Scala-specific tools and libraries, such as Breeze, Saddle, and DeepLearning.scala, allowing you to efficiently process, analyze, and visualize data for machine learning projects. Develop a strong understanding of supervised and unsupervised learning algorithms, enabling you to confidently choose the right approach for your data and effectively build predictive models Gain hands-on experience with neural networks and deep learning, equipping you with the know-how to create advanced applications in areas like natural language processing and image recognition. Explore the world of generative AI and learn how to utilize GPT-Scala for creative text generation tasks, broadening your skill set and making you a more versatile developer. Conquer the realm of scalable machine learning with Scala, learning the secrets to tackling large-scale data processing and analysis challenges with ease. Sharpen your skills in model evaluation, validation, and optimization, ensuring that your machine learning models perform reliably and effectively in any situation. Machine Learning Essentials for Scala Developers is a three-day course designed to provide a solid introduction to the world of machine learning using the Scala language. Throughout the hands-on course, you?ll explore a range of machine learning algorithms and techniques, from supervised and unsupervised learning to neural networks and deep learning, all specifically crafted for Scala developers. Our expert trainer will guide you through real-world, focused hands-on labs designed to help you apply the knowledge you gain in real-world scenarios, giving you the confidence to tackle machine learning challenges in your own projects. You'll dive into innovative tools and libraries such as Breeze, Saddle, DeepLearning.scala, GPT-Scala (and Generative AI with Scala), and TensorFlow-Scala. These cutting-edge resources will enable you to build and deploy machine learning models for a wide range of projects, including data analysis, natural language processing, image recognition and more. Upon completing this course, you'll have the skills required to tackle complex projects and confidently develop intelligent applications. You?ll be able to drive business outcomes, optimize processes, and contribute to innovative projects that leverage the power of data-driven insights and predictions. Introduction to Machine Learning and Scala Learning Outcome: Understand the fundamentals of machine learning and Scala's role in this domain. What is Machine Learning? Machine Learning with Scala: Advantages and Use Cases Supervised Learning in Scala Learn the basics of supervised learning and how to apply it using Scala. Supervised Learning: Regression and Classification Linear Regression in Scala Logistic Regression in Scala Unsupervised Learning in Scala Understand unsupervised learning and how to apply it using Scala. Unsupervised Learning:Clustering and Dimensionality Reduction K-means Clustering in Scala Principal Component Analysis in Scala Neural Networks and Deep Learning in Scala Learning Outcome: Learn the basics of neural networks and deep learning with a focus on implementing them in Scala. Introduction to Neural Networks Feedforward Neural Networks in Scala Deep Learning and Convolutional Neural Networks Introduction to Generative AI and GPT in Scala Gain a basic understanding of generative AI and GPT, and how to utilize GPT-Scala for natural language tasks. Generative AI: Overview and Use Cases Introduction to GPT (Generative Pre-trained Transformer) GPT-Scala: A Library for GPT in Scala Reinforcement Learning in Scala Understand the basics of reinforcement learning and its implementation in Scala. Introduction to Reinforcement Learning Q-learning and Value Iteration Reinforcement Learning with Scala Time Series Analysis using Scala Learn time series analysis techniques and how to apply them in Scala. Introduction to Time Series Analysis Autoregressive Integrated Moving Average (ARIMA) Models Time Series Analysis in Scala Natural Language Processing (NLP) with Scala Gain an understanding of natural language processing techniques and their application in Scala. Introduction to NLP: Techniques and Applications Text Processing and Feature Extraction NLP Libraries and Tools for Scala Image Processing and Computer Vision with Scala Learn image processing techniques and computer vision concepts with a focus on implementing them in Scala. Introduction to Image Processing and Computer Vision Feature Extraction and Image Classification Image Processing Libraries for Scala Model Evaluation and Validation Understand the importance of model evaluation and validation, and how to apply these concepts using Scala. Model Evaluation Metrics Cross-Validation Techniques Model Selection and Tuning in Scala Scalable Machine Learning with Scala Learn how to handle large-scale machine learning problems using Scala. Challenges of Large-Scale Machine Learning Data Partitioning and Parallelization Distributed Machine Learning with Scala Machine Learning Deployment and Production Understand the process of deploying machine learning models into production using Scala. Deployment Challenges and Best Practices Model Serialization and Deserialization Monitoring and Updating Models in Production Ensemble Learning Techniques in Scala Discover ensemble learning techniques and their implementation in Scala. Introduction to Ensemble Learning Bagging and Boosting Techniques Implementing Ensemble Models in Scala Feature Engineering for Machine Learning in Scala Learn advanced feature engineering techniques to improve machine learning model performance in Scala. Importance of Feature Engineering in Machine Learning Feature Scaling and Normalization Techniques Handling Missing Data and Categorical Features Advanced Optimization Techniques for Machine Learning Understand advanced optimization techniques for machine learning models and their application in Scala. Gradient Descent and Variants Regularization Techniques (L1 and L2) Hyperparameter Tuning Strategies

VAT might not be the life of the party, but it certainly knows how to keep your business in check. This 8-in-1 VAT Premium Bundle brings together the essentials of tax, finance, business law, Excel, and data handling—all from your screen, without dragging you into lengthy lectures or sleepless spreadsheets. Whether you're brushing up your financial knowledge or finding your way into VAT and data-driven roles, this bundle offers solid training in tax calculation, financial analysis, and entry-level accounting methods. If the word “receipts” doesn’t make you groan, you’re already halfway there. 🟨 Learning Outcomes Understand the basic principles and concepts of VAT and tax. Explore financial reporting, statements, and budgeting techniques. Learn to handle business data using MS Excel functions. Identify key legal aspects in business law essentials. Apply data analysis techniques in financial decision-making. Organise and manage financial records accurately and efficiently. 🟨 Who is this Course For Individuals interested in learning the basics of VAT and tax Beginners wanting to explore business and financial reporting Entrepreneurs needing insight into legal and fiscal matters Jobseekers aiming to enter finance or tax-related fields Admins or bookkeepers seeking to broaden data handling skills Students looking for structured finance and Excel training Data entry professionals aiming to improve financial knowledge Anyone looking for career development in finance-based roles 🟨 Career Path (UK average salary) Tax Assistant – £24,000/year Finance Administrator – £26,000/year VAT Analyst – £32,000/year Data Entry Clerk (Finance) – £22,000/year Junior Accountant – £28,500/year Business Law Clerk – £29,000/year

Investment banking isn’t about pinstripes and power suits—it’s about smart decisions, sharp analysis, and being five spreadsheets ahead of everyone else. This 8-in-1 Premium Bundle dives into finance, banking, data, Excel, and business analysis without getting lost in acronyms. You’ll cover essential ground in financial forecasting, risk review, crisis handling and those ever-so-useful Excel sheets. There’s even a module in business analysis for when things get slightly too “boardroom”. Whether you're aiming for a desk in The City or sharpening your skills from home, this one’s built to make numbers make sense. 🟨 Learning Outcomes Understand financial terminology and investment banking concepts. Analyse business performance using Excel and financial tools. Evaluate market risks and manage financial decision outcomes. Use data analysis to support business and financial planning. Learn fundamentals of banking systems and economic operations. Apply critical thinking to manage business crises effectively. 🟨 Who is this Course For Finance students seeking a well-structured online training guide Analysts brushing up on business and data interpretation Graduates interested in investment or corporate banking fields Excel users aiming to advance their financial analysis ability Professionals preparing for roles in business finance Curious learners wanting an overview of the banking sector Individuals needing strong crisis and risk handling knowledge Aspiring investment bankers learning the ropes from scratch 🟨 Career Path (UK average salary) Investment Banking Analyst – £50,000/year Business Analyst – £42,000/year Financial Analyst – £41,500/year Banking Associate – £48,000/year Risk Management Analyst – £45,000/year Crisis Management Consultant – £44,000/year

Overview Psychology: Psychologist Training opens doors to a world where you can understand people better. This course gives you the tools to look at how people think, feel, and act. The UK's mental health field is growing fast, with more than 40,000 psychologists and therapists working in the NHS alone. This means there are many chances for new psychologists to find work and help others. Our course covers all the important parts of psychology.  You'll learn about how children grow up, why people do what they do, and how our brains work. We also teach you about different mental health issues and how to study human behaviour properly. By the end of the course, you'll know how to look at problems from many angles and help people with their mental health. This knowledge is useful in many jobs, not just as a psychologist. You could work in schools, hospitals, or even help businesses understand their workers better. If you like figuring out puzzles about how people tick, this course is for you. It's a chance to learn skills that can change lives and make the world a bit better. Join us to learn about the amazing science of the human mind and how you can use it to help others. In this course, you will: Understand the fundamental principles and approaches of psychology Analyse human behaviour, emotions, and cognitive processes Examine developmental stages from childhood through adulthood Explore various psychological disorders and their characteristics Apply research methods and assessments in psychological studies Evaluate ethical considerations in psychological practice and research Process of Evaluation After studying the Psychology : Psychologist course, your skills and knowledge will be tested with a MCQ exam or assignment. You must get a score of 60% to pass the test and get your certificate.  Certificate of Achievement Upon successfully completing the Psychology : Psychologist course, you will get your CPD accredited digital certificate immediately. And you can also claim the hardcopy certificate completely free of charge. All you have to do is pay a shipping charge of just £3.99. Who Is This Course for? This Psychology : Psychologist is suitable for anyone aspiring to start a career in Psychology : Psychologist; even if you are new to this and have no prior knowledge on Psychology : Psychologist, this course is going to be very easy for you to understand.  And if you are already working in the Psychology : Psychologist field, this course will be a great source of knowledge for you to improve your existing skills and take them to the next level.  Taking this Psychology : Psychologist course is a win-win for you in all aspects.  This course has been developed with maximum flexibility and accessibility, making it ideal for people who don't have the time to devote to traditional education. Requirements This Psychology : Psychologist course has no prerequisite.  You don't need any educational qualification or experience to enrol in the Psychology : Psychologist 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 Psychology : Psychologist course. Moreover, this course allows you to learn at your own pace while developing transferable and marketable skills. Course Curriculum Perspectives in Psychology Promo Video 00:01:00 What is Psychology 00:10:00 The Biological Approach 00:10:00 Behaviourist and Cognitive Approaches 00:10:00 Person-Centred Approaches 00:08:00 Research Methods in Psychology 00:12:00 Debates in Psychology 00:13:00 Social Psychology Social Influence: Compliance, Obedience and Conformity 00:10:00 Social Cognition 00:09:00 Applied Social Psychology 00:10:00 Cognitive Psychology and Its Applications Perception 00:10:00 Attention 00:07:00 Remembering (Memory) 00:10:00 Forgetting (Memory) 00:07:00 Language 00:10:00 Thinking (Cognition) 00:07:00 Attitudes 00:10:00 Problem-Solving and Artificial Intelligence 00:09:00 Child Development Issues in Child Development 00:05:00 Cognitive Development 00:07:00 The Development of Language and Communication 00:06:00 Social Perception (Interpersonal Perception) 00:06:00 Moral Development 00:09:00 The Psychology of Atypical (Abnormal) Behaviour The definition and Diagnosis of Atypical (Abnormal) Behaviour 00:07:00 Treatments of atypical (abnormal) behaviour 00:07:00 Emotional disorders 00:05:00 Research Methods Research Methods 00:06:00 Research Issues 00:06:00 Data Analysis 00:07:00 Thank You and Good Bye! 00:02:00

Embark on a transformative journey with the 'CompTIA CySA+ Cybersecurity Analyst Course,' designed to fortify the digital frontiers of business. This comprehensive training program begins with an immersive introduction to the cybersecurity realm, setting the stage for a deep dive into the sophisticated world of threat data and intelligence. With an emphasis on real-world application, participants will gain invaluable insights into organizational security, developing the acumen to anticipate, identify, and neutralize digital threats. Mastery over vulnerability assessment tools and mitigation strategies forms the bedrock of this curriculum, providing learners with a robust skill set pivotal for the modern cybersecurity landscape. Learning Outcomes Interpret threat data to reinforce organizational security frameworks. Assess vulnerabilities using state-of-the-art tools and methodologies. Apply best practices for ensuring software and hardware assurance. Analyze security solutions for robust infrastructure management. Implement and manage incident response protocols to address potential compromises effectively. Why choose this CompTIA CySA+ Cybersecurity Analyst Course? 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 CompTIA CySA+ Cybersecurity Analyst Course 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 CompTIA CySA+ Cybersecurity Analyst Course for? Individuals aiming to specialize in cybersecurity analysis. IT professionals seeking to broaden their cybersecurity knowledge. Organizational staff responsible for managing digital security risks. Security consultants requiring up-to-date threat intelligence expertise. System administrators looking to implement enhanced security measures. Career path Cybersecurity Analyst - £25,000 to £60,000 Vulnerability Analyst - £30,000 to £65,000 Security Operations Centre (SOC) Analyst - £32,000 to £70,000 Incident Responder - £27,000 to £68,000 Digital Forensics Specialist - £35,000 to £75,000 Information Security Consultant - £40,000 to £80,000 Prerequisites This CompTIA CySA+ Cybersecurity Analyst Course does not require you to have any prior qualifications or experience. You can just enrol and start learning.This CompTIA CySA+ Cybersecurity Analyst 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. Course Curriculum Section 01: Introduction Introduction 00:02:00 All about the Exam 00:08:00 What's New on the CompTIA CySA+ Exam? 00:05:00 Meet the Instructors 00:02:00 Thinking like the Enemy 00:09:00 Section 02: The Importance of Threat Data and Intelligence Intelligence Sources and Confidence Levels 00:08:00 Threat Indicators and Actors 00:08:00 Threat Trends 00:07:00 Intelligence Cycle and ISACs 00:06:00 Section 03: Threat Intelligence in Support of Organizational Security Attack Frameworks 00:06:00 Threat Research 00:11:00 Threat Modeling and Intelligence Sharing 00:06:00 Section 04: Vulnerability Assessment Tools Vulnerability Identification 00:07:00 Scanning Parameters and Criteria 00:09:00 Scanning Special Considerations 00:06:00 Validation 00:03:00 Remediation and Mitigation 00:08:00 Inhibitors to Remediation 00:07:00 Section 05: Threats and Vulnerabilities Associated with Specialized Technology Web Applications Scanners, Part 1 00:10:00 Web Applications Scanners, Part 2 00:05:00 Scanning 00:06:00 Configuring and Executing Scans 00:08:00 Vulnerability Scanning 00:10:00 Reverse Engineering 00:08:00 Enumeration 00:06:00 Wireless Assessment Tools 00:08:00 Cloud Assessment Tools 00:04:00 Section 06: Threats and Vulnerabilities Associated with Specialized Technology Mobile and IoT 00:10:00 Embedded and Firmware Systems (RTOS, SoC, and FPGA) 00:09:00 Access and Vehicles Risk 00:08:00 Automation and Control Risk 00:10:00 Section 07: Threats and Vulnerabilities Associated with Operating in the Cloud Cloud Models 00:07:00 Remote Service Invocation (FaaS, IaC, API) 00:10:00 Cloud Vulnerabilities 00:06:00 Section 08: Mitigating Controls for Attacks and Software Vulnerabilities Injection and Overflow Attacks 00:09:00 Authentication Attacks 00:07:00 Exploits 00:08:00 Application Vulnerabilities, Part 1 00:08:00 Application Vulnerabilities, Part 2 00:07:00 Section 09: Security Solutions for Infrastructure Management Network Architecture and Asset Management 00:09:00 Protecting Your Territory 00:05:00 Identity and Access Management 00:11:00 Encryption and Active Defense 00:08:00 Section 10: Software Assurance Best Practices Platforms 00:07:00 SOA and DevSecOps 00:09:00 Secure Software Development 00:08:00 Best Coding Practices 00:04:00 Section 11: Hardware Assurance Best Practices Trusted Hardware 00:10:00 Hardware Encryption 00:04:00 Hardware Security 00:08:00 Section 12: Data Analysis in Security Monitoring Activities Data Analytics 00:10:00 Endpoint Security 00:08:00 Recon Results, Part 1 00:13:00 Recon Results, Part 2 00:05:00 Impact Analysis 00:05:00 Collective Tools 00:09:00 Query Writing 00:07:00 E-mail Analysis, Part 1 00:10:00 E-mail Analysis, Part 2 00:08:00 Section 13: Implement Configuration Changes to Existing Controls to Improve Security Permissions 00:09:00 Firewalls 00:08:00 Intrusion Prevention Rules 00:05:00 DLP and Endpoint Detection 00:05:00 Section 14: The Importance of Proactive Threat Hunting Threat Hunting and the Hypothesis 00:06:00 Threat Hunting Process 00:07:00 Results and Benefits 00:05:00 Section 15: Compare and Contrast Automation Concepts and Technologies Workflow and Scripting 00:07:00 API and Malware Signature Creation 00:08:00 Threat Feeds and Machine Learning 00:06:00 Protocols, Standards, and Software Engineering 00:05:00 Section 16: The Importance of the Incident Response Process IR Roles and Responsibilities 00:08:00 IR Active Preparation 00:10:00 Section 17: Appropriate Incident Response Procedures Incident Response Process 00:07:00 Section 18: Analyze Potential Indicators of Compromise Network Symptoms 00:04:00 Host Symptoms 00:08:00 Application Symptoms 00:04:00 Section 19: Utilize Basic Digital Forensics Techniques Digital Forensics 00:10:00 Seizure and Acquisitions 00:05:00 Forensics Acquisition Tools 00:09:00 Mobile, Virtualization, and Cloud 00:06:00 Forensics Analysis, Part 1 00:04:00 Forensics Analysis, Part 2 00:08:00 Packet Capture 00:12:00 Section 20: The Importance of Data Privacy and Protection Data Privacy and Security 00:06:00 Nontechnical Controls 00:09:00 Technical Controls 00:08:00 Section 21: Security Concepts in Support of Organizational Risk Mitigation Business Impact Analysis 00:05:00 Risk Identification 00:05:00 Risk Calculation and Communication 00:06:00 Training 00:04:00 Supply Chain Assessment 00:04:00 Section 22: The Importance of Frameworks, Policies, Procedures, and Controls Frameworks 00:13:00 Policies and Procedures 00:05:00 Controls and Procedures 00:08:00 Verification 00:06:00 Assignment Assignment - CompTIA CySA+ Cybersecurity Analyst Course 00:00:00

The Anti Money Laundering (AML): 8 in 1 Premium Courses Bundle helps learners navigate the world of financial transparency, audit trails, and those pesky fraudulent transactions. This content-rich bundle includes AML foundations, employment law, document control, purchase ledger insights, and financial/data analysis to keep your finance knowledge well-polished and compliant. You’ll also cover Excel skills relevant to data handling and the all-important risk mitigation mindset. This isn’t just about ticking legal boxes — it’s about understanding the landscape behind financial red flags. From analysing patterns to securing documents, this is the kind of learning that’s great for careers where trust, accuracy, and the occasional suspicious transaction log all go hand in hand. Learning Outcomes: Understand AML regulations and financial crime prevention strategies Learn how to analyse financial data for suspicious activity detection Explore employment law principles tied to financial conduct Gain insight into document control and risk management processes Study Excel for financial reporting and transaction tracking Learn purchase ledger operations in structured finance departments Who is this Course For: Professionals seeking AML knowledge in finance environments Data analysts interested in financial pattern recognition Office staff working with sensitive financial documentation Accounting learners with interest in legal financial oversight Individuals exploring fraud detection and finance auditing Excel users dealing with large volumes of financial data Bookkeepers and ledgers clerks handling transactional records HR or finance staff needing AML and employment law clarity Career Path (UK Average Salaries): AML Analyst – £35,000/year Financial Crime Assistant – £32,000/year Data Analyst (AML-Focused) – £36,500/year Compliance Support Officer – £33,000/year Purchase Ledger Clerk – £25,500/year Document Control Officer – £27,000/year

If data had a fan club, analysts would be the VIP members. This 8-in-1 online bundle offers a structured dive into the data world—from input to insight. With modules in SQL, Python, Microsoft Access, Tableau, Google Analytics, and more, it covers the tools that analysts actually use when trying to make sense of endless spreadsheets. You’ll start with data entry foundations and move through analysis techniques, database management, and visualisation. The goal? To help you read, question, and communicate data without turning it into a maths lesson. Whether you’re new to analytics or brushing up on tools, this bundle is here to turn data into something slightly more interesting than... well, a spreadsheet. 🎯 Learning Outcomes: Understand core data analysis methods across common tools. Learn SQL for querying and managing structured data sets. Apply Python for basic data organisation and automation. Use Tableau and Google tools for visual data presentation. Gain data entry and database management understanding. Analyse online performance through Google Analytics platforms. 👤 Who is this Course For: Aspiring data analysts building core tool knowledge. Marketing professionals interested in online performance stats. Admins needing database and data entry foundations. Junior developers exploring data-related workstreams. Business analysts reviewing structured analysis methods. Freelancers handling data-heavy client tasks. Entrepreneurs reviewing user behaviour via Google tools. Graduates seeking online data training for job roles. 💼 Career Path (UK Average Salaries): Data Analyst – £38,000 per year Business Intelligence Analyst – £42,000 per year Data Entry Administrator – £24,000 per year SQL Analyst – £40,000 per year Marketing Data Analyst – £36,000 per year Analytics Coordinator – £34,000 per year

Think libraries are just about stamping books? Think again. This bundle gets under the hood of modern library and information management—where cataloguing meets GDPR, and dusty shelves make way for digital systems. From document control to basic IT and data analysis, this bundle suits anyone working behind the scenes to keep information flowing neatly (and legally). Ideal for those who believe alphabetising can be an art form and spreadsheets deserve proper formatting. 🟪 Learning Outcomes: Manage library records using structured documentation methods. Apply GDPR principles to safeguard personal and public data. Organise and retrieve digital files using basic IT skills. Analyse usage data to support service development decisions. Maintain orderly systems for both physical and digital resources. Understand key tasks in library and information management. 🟪 Who Is This Course For: Library assistants supporting daily resource and data handling. Archive staff maintaining structured and secure records. Admins in educational or public library environments. Data handlers working in knowledge or resource centres. Entry-level staff in information management roles. Professionals dealing with document control and storage. Staff helping with catalogue management and updates. Anyone allergic to messy filing systems and loose ends. 🟪 Career Path (UK Average Salaries): Library Assistant – £22,000/year Document Controller – £27,000/year Information Support Officer – £26,000/year Records Management Assistant – £25,000/year Digital Archive Coordinator – £28,000/year Data Analyst (Library/Info Sector) – £30,000/year

Overview This comprehensive course on Statistical Analysis will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Statistical Analysis comes with accredited certification from CPD, which will enhance your CV and make you worthy in the job market. So enrol in this course today to fast track your career ladder. How will I get my certificate? At the end of the course there will be an online written test, which you can take either during or after the course. After successfully completing the test you will be able to order your certificate, these are included in the price. Who is This course for? There is no experience or previous qualifications required for enrolment on this Statistical Analysis. It is available to all students, of all academic backgrounds. Requirements Our Statistical Analysis is fully compatible with PC's, Mac's, Laptop, Tablet and Smartphone devices. This course has been designed to be fully compatible with tablets and smartphones so you can access your course on Wi-Fi, 3G or 4G. There is no time limit for completing this course, it can be studied in your own time at your own pace. Career Path Learning this new skill will help you to advance in your career. It will diversify your job options and help you develop new techniques to keep up with the fast-changing world. This skillset will help you to- Open doors of opportunities Increase your adaptability Keep you relevant Boost confidence And much more! Course Curriculum 14 sections • 16 lectures • 06:28:00 total length •The Realm Of Statistics: 00:26:00 •Basic Statistical Terms: 00:41:00 •The Center of the Data: 00:07:00 •Data Variability: 00:15:00 •Binomial and Normal Distributions: 00:14:00 •Binomial Probabilities Table: 00:14:00 •Z-Table: 00:04:00 •Introduction to Probability: 00:35:00 •Estimates and Intervals: 00:34:00 •Hypothesis Testing: 00:31:00 •Regression Analysis: 00:11:00 •Algorithms, Analytics and Prediction: 00:47:00 •Learning From Experience: The Bayesian Way: 00:31:00 •Doing Statistics: The Wrong Way: 00:37:00 •How We Can Do Statistics Better: 00:41:00 •Assignment - Statistics Essentials: 00:00:00