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Duration 4 Days 24 CPD hours This course is intended for DevOps engineers Integration engineers Network and software architects Network engineers Software engineers System administrators Overview After completing this course, you should be able to: Describe network and IT convergence Describe Cisco NSO architecture Describe Linux Configure Cisco NSO Set up access control to Cisco NSO system Describe Cisco NSO Integration Options Explain version control systems and basic git concepts Describe the purpose of continuous integration and continuous delivery Implement Cisco NSO high availability Describe scalable system management Describe software development methodologies Describe service maintenance Perform NED upgrades Use Cisco NSO for managing services and their associated device configurations Describe Cisco NSO change management Explain service problem management Use Cisco NSO for service monitoring and compliance reporting Describe Cisco NSO inventory management Describe Cisco NSO use cases The Cisco Network Services Orchestrator (NSO) Administration and DevOps (NSO303) v4.0 course continues the learning journey of the NSO Essentials for Programmers and Network Architects (NSO201) v4.0 and NSO Advanced for Python Programmers (NSO300) v4.0 courses by introducing you to the system administration and DevOps focusing on NSO; the robust bridge linking network automation and orchestration tools, examining the development, operation, and administration task functions. You will learn how to set up, configure, deploy, and maintain a Cisco Network Services Orchestrator solution, and learn best practices for using DevOps. The examples shown in this course demonstrate real-world scenarios to prepare you for deployment and management of new or existing NSO instances. The course guides you through the setup of a production ready NSO instances using system installation with access control settings, the deployment of NSO in Docker containers, and introduces modern DevOps concepts and tools such as Git and Continuous Delivery/Continuous Deployment (CI/CD). You will learn how to migrate CDM devices, how to build NETCONF NEDs from the NSO CLI, how to handle NSO Alarms, and many more features that benefit you in your journey with Cisco NSO. Course Outline Introducing Network and IT Convergence Introducing Cisco NSO Architecture Introducing Linux Explaining Cisco NSO Setup Exploring Access Control Describing Integration Options Explaining Version Control System Describing Continuous Integration and Continuous Delivery Introducing Scalability and High Availability Describing Scalable System Management Describing Software Development Methodologies Introducing Service Maintenance Performing Network Element Driver (NED) Upgrades Introducing Configuration Management Describing Change Management Explaining Service Problem Management Explaining Service Monitoring and Compliance Reporting Introducing Inventory Management Describing Cisco NSO Use Cases

Overview This comprehensive course on Recruitment: IT Basics for IT Recruiters will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Recruitment: IT Basics for IT Recruiters 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? You may have to take a quiz or a written test online during or after the course. After successfully completing the course, you will be eligible for the certificate. Who is This course for? There is no experience or previous qualifications required for enrolment on this Recruitment: IT Basics for IT Recruiters. It is available to all students, of all academic backgrounds. Requirements Our Recruitment: IT Basics for IT Recruiters 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. 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 9 sections • 62 lectures • 05:10:00 total length •Introduction: 00:02:00 •Server: 00:08:00 •What is hardware and software?: 00:04:00 •Project Life Cycle: 00:06:00 •Software Development Life Cycle: 00:08:00 •Methodologies: Scrum, Agile, Kanban, Waterfall, Lean: 00:09:00 •CMS: 00:04:00 •API: 00:04:00 •Stacks: 00:03:00 •Native & Hybrid Native Apps: 00:02:00 •CI / CD / Deployment tools: 00:04:00 •CTO: 00:13:00 •IT Architects: 00:08:00 •Product Owner: 00:12:00 •Product Manager: 00:06:00 •PO vs Product Manager: 00:04:00 •Project Manager: 00:13:00 •Product Owner vs Project Manager vs Product Manager: 00:07:00 •Business Analysts: 00:09:00 •Business Intelligence Analyst: 00:06:00 •Data Engineer: 00:05:00 •Data Scientist: 00:07:00 •Data Engineer vs Data Scientist: 00:07:00 •Agile Coach: 00:14:00 •Scrum Master: 00:08:00 •Agile Coach vs Scrum Master: 00:01:00 •Frontend Developer: 00:06:00 •Backend Developer: 00:06:00 •Fullstack Developer: 00:04:00 •Developers: Frontend, Backend and Fullstack: 00:02:00 •iOS Developer: 00:03:00 •Android Developer: 00:04:00 •UX Designers: 00:09:00 •UI Design: 00:08:00 •UX vs UI Design: what is the difference?: 00:04:00 •QA Engineers and Testers: 00:09:00 •System Administrators: 00:07:00 •DevOps: 00:05:00 •SEO Specialists: who are they?: 00:10:00 •Programming Languages and Frameworks. Introduction: 00:01:00 •Programming languages and frameworks: 00:08:00 •JavaScript: 00:02:00 •Java: 00:03:00 •Python: 00:01:00 •C: 00:02:00 •C#: 00:02:00 •C++: 00:03:00 •SWIFT: 00:02:00 •Objective C: 00:01:00 •HTML: 00:02:00 •PHP: 00:02:00 •Ruby: 00:02:00 •SQL: 00:02:00 •Go: 00:01:00 •R: 00:01:00 •Database: 00:05:00 •Types of Databases: 00:07:00 •The day of an IT Recruiter: 00:05:00 •Key principles: 00:03:00 •Sourcing Tips: 00:03:00 •Thank you for taking part in this course!: 00:01:00 •Assignment - Recruitment: IT Basics for IT Recruiters: 00:00:00

Duration 4 Days 24 CPD hours This course is intended for This course is appropriate for developers and administrators who intend to use HBase. Overview Skills learned on the course include:The use cases and usage occasions for HBase, Hadoop, and RDBMSUsing the HBase shell to directly manipulate HBase tablesDesigning optimal HBase schemas for efficient data storage and recoveryHow to connect to HBase using the Java API, configure the HBase cluster, and administer an HBase clusterBest practices for identifying and resolving performance bottlenecks Cloudera University?s four-day training course for Apache HBase enables participants to store and access massive quantities of multi-structured data and perform hundreds of thousands of operations per second. Introduction to Hadoop & HBase What Is Big Data? Introducing Hadoop Hadoop Components What Is HBase? Why Use HBase? Strengths of HBase HBase in Production Weaknesses of HBase HBase Tables HBase Concepts HBase Table Fundamentals Thinking About Table Design The HBase Shell Creating Tables with the HBase Shell Working with Tables Working with Table Data HBase Architecture Fundamentals HBase Regions HBase Cluster Architecture HBase and HDFS Data Locality HBase Schema Design General Design Considerations Application-Centric Design Designing HBase Row Keys Other HBase Table Features Basic Data Access with the HBase API Options to Access HBase Data Creating and Deleting HBase Tables Retrieving Data with Get Retrieving Data with Scan Inserting and Updating Data Deleting Data More Advanced HBase API Features Filtering Scans Best Practices HBase Coprocessors HBase on the Cluster How HBase Uses HDFS Compactions and Splits HBase Reads & Writes How HBase Writes Data How HBase Reads Data Block Caches for Reading HBase Performance Tuning Column Family Considerations Schema Design Considerations Configuring for Caching Dealing with Time Series and Sequential Data Pre-Splitting Regions HBase Administration and Cluster Management HBase Daemons ZooKeeper Considerations HBase High Availability Using the HBase Balancer Fixing Tables with hbck HBase Security HBase Replication & Backup HBase Replication HBase Backup MapReduce and HBase Clusters Using Hive & Impala with HBase Using Hive and Impala with HBase Appendix A: Accessing Data with Python and Thrift Thrift Usage Working with Tables Getting and Putting Data Scanning Data Deleting Data Counters Filters Appendix B: OpenTSDB

The popularity of Augmented Reality (AR) technology has escalated due to its use by market leaders like Microsoft, Apple, Google, Facebook, and Amazon. It is now a billion pounds worth of market and is considered to be the next big thing in technological evolution. Want to learn how to meld the real with the virtual? Then take a step toward developing knowledge and skills that will drive your career forward and get ahead of the curve! This Diploma In Augmented Reality at QLS Level 4 course is endorsed by The Quality Licence Scheme and accredited by CPDQS (with 120 CPD points) to make your skill development & career progression more accessible than ever! This course is designed to break the complex AR concepts while also teaching the various scopes of Augmented Reality in education, business, medicine, military, scientific, industrial, and governmental policies. This course incorporates the use of Augmented Reality (AR) technologies to improve the education system and provide the experience of hands-on learning. In the same way, with the help of this Augmented Reality (AR) course, you will demonstrate an understanding of the possibilities of AR in business to fast-paced business operations as well as improve customer interactions to make better purchase decisions. Likewise, this Augmented Reality (AR) course will develop your perception of the applications of technology in the medical field as well as how governments can use such engineering for the welfare of the country and economy. Last but not least, this Augmented Reality (AR) course will prepare you to assess the future of AR and various career paths relating to it. This Augmented Reality (AR) training can help you to accomplish your ambitions and prepare you for a meaningful career. So, join us today and gear up for excellence! What will you learn? An Overview of Augmented Reality The scope of AR in education and business The Application of AR in the medical field Military, Scientific, Industrial, and Government purposes How to plan and create projects Analyse and evaluate the future Nano-scale technology Uses of AR in the human body Get Additional Courses as Gifts Diploma in Python Programming Take a step toward a brighter future! Why Prefer This Augmented Reality (AR) Course? Opportunity to earn certificate a certificate endorsed by the Quality Licence Scheme & another accredited by CPDQS. Get a free student ID card! (£10 postal charge will be applicable for international delivery) Innovative and engaging content. Free assessments 24/7 tutor support. *** Course Curriculum *** Here is the curriculum breakdown of the course: Module 01: Introduction Module 02: Application in Education Module 03: Application in Business Module 04: Application in Medicine Module 05: Other Key Applications Module 06: Assessing the Future Assessment Process You have to complete the assignment questions given at the end of the course and score a minimum of 60% to pass each exam. Our expert trainers will assess your assignment and give you feedback after you submit the assignment. After passing the Diploma In Augmented Reality at QLS Level 4 exam, you will be able to request a certificate at an additional cost that has been endorsed by the Quality Licence Scheme. CPD 120 CPD hours / points Accredited by CPD Quality Standards Who is this course for? This course is open to everyone of all academic backgrounds. However, this Augmented Reality course is mostly preferable by: Computer programming students interested in C# programming Anyone who wants to develop Applications Anyone interested to learn about new skills to comply with the evolving industry Career path Enrolling on this course can lead you to the following career paths: Content Developer Content Strategist User Experience Designer Designer, Animator or Sound Artist AR Community Manager AR Project Manager And many more! Certificates Certificate Accredited by CPDQS Digital certificate - £10 Diploma in Augmented Reality at QLS Level 4 Hard copy certificate - £99 Show off Your New Skills With a Certificate of Completion After completing the Diploma in Augmented Reality at QLS Level 4, you can order an original hardcopy certificate of achievement endorsed by the Quality Licence Scheme. The certificate will be home-delivered, with a pricing scheme of - 99 GBP inside the UK 109 GBP (including postal fees) for international delivery Certificate Accredited by CPDQS Upon finishing the Augmented Reality course, you need to order to receive a Certificate Accredited by CPDQS that is recognised all over the UK and also internationally. The pricing schemes are - 29 GBP for Printed Hardcopy Certificate inside the UK 39 GBP for Printed Hardcopy Certificate outside the UK (international delivery)

Deal Price is Active! Offer Ends Soon; Hurry Up!! Are you looking to improve your current abilities or make a career move? Our unique Business Intelligence Analyst Course might help you get there! Expand your expertise with high-quality training - study the Business Intelligence Analyst and get an expertly designed, great value training experience. Learn from industry professionals and quickly equip yourself with the specific knowledge and skills you need to excel in your chosen career through the online training course. This Diploma in Business Intelligence Analyst at QLS Level 5 course is endorsed by The Quality Licence Scheme and accredited by CPDQS (with 150 CPD points) to make your skill development & career progression more accessible than ever! Why Prefer This Business Intelligence Analyst Course? Opportunity to earn certificate a certificate endorsed by the Quality Licence Scheme & another accredited by CPDQS after completing the Business Intelligence Analyst course Get a free student ID card! (£10 postal charge will be applicable for international delivery) Innovative and engaging content. Free assessments 24/7 tutor support. The Business Intelligence Analyst course is broken down into several in-depth modules to provide you with the most convenient and rich learning experience possible. Upon successful completion of the course, an instant e-certificate will be exhibited in your profile that you can order as proof of your new skills and knowledge. Add these amazing new skills to your resume and boost your employability by simply enrolling on this Business Intelligence Analyst course. With this comprehensive Business Intelligence Analyst course, you can achieve your dreams and train for your ideal career. The course provides students with an in-depth learning experience that they can work through at their own pace to enhance their professional development. You'll get a Free Student ID card by enrolling in this Business Intelligence Analyst course. This ID card entitles you to discounts on bus tickets, movie tickets, and library cards. This Business Intelligence Analyst training can help you to accomplish your ambitions and prepare you for a meaningful career. So, join the Business Intelligence Analyst course today - gear up with the essential skills to set yourself up for excellence! Experts created the Business Intelligence Analyst course to provide a rich and in-depth training experience for all students who enrol in it. Enrol in the course right now and you'll have immediate access to all of the course materials. Then, from any internet-enabled device, access the course materials and learn when it's convenient for you. Start your learning journey straight away with this Business Intelligence Analyst course and take a step toward a brighter future! *** Course Curriculum *** Business Intelligence Analyst Course Module-1: An Introduction to Business Intelligence Module-2: Real-time Business Intelligence Module-3: Fundamentals of Statistics and Data Science Module-4: Fundamentals of SQL Module-5: Database Management Essentials Module-6: Data Warehouse Concepts Module-7: Data Visualisation in Business Intelligence Module-8: Basics of Python Assessment Process You have to complete the assignment questions given at the end of the course and score a minimum of 60% to pass each exam.Our expert trainers will assess your assignment and give you feedback after you submit the assignment. After passing the Diploma in Business Intelligence Analyst at QLS Level 5 course exam, you will be able to request a certificate at an additional cost that has been endorsed by the Quality Licence Scheme. CPD 150 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Anyone interested in learning more about the topic is advised to take this course. This course is open to everybody. Requirements You will not need any prior background or expertise to enrol in this course. Career path After completing this course, you are to start your career or begin the next phase of your career. Certificates Certificate of completion Digital certificate - £10 Diploma in Business Intelligence Analyst at QLS Level 5 Hard copy certificate - £119 Show off Your New Skills with a Certificate of Completion After successfully completing the Diploma in Business Intelligence Analyst at QLS Level 5, you can order an original hardcopy certificate of achievement endorsed by the Quality Licence Scheme. The certificate will be home-delivered, with a pricing scheme of - 119 GBP inside the UK 129 GBP (including postal fees) for International Delivery Certificate Accredited by CPDQS 29 GBP for Printed Hardcopy Certificate inside the UK 39 GBP for Printed Hardcopy Certificate outside the UK (International Delivery)

*** Data Analyst Training *** Approximately 3.5 million jobs are there for professionals with Data Analyst skills. Understanding, harnessing, and using data in business is no longer just a competence for a few groups of highly compensated analysts. Data analysis is increasingly becoming a requirement for many occupations. You can obtain a strong foundation in data analysis and get your foot in the growing data world with this outstanding value, six-course Data Analyst Training bundle. You will learn the fundamentals of data analysis from the Data Analyst Training bundle, which also covers process management concepts, numerous tools & techniques for data analysis, dealing with variations tactics, and chart interpretation. Additionally, you will comprehensively understand how to use Excel to analyse and visualise data. This Data Analyst Training course teaches you how to make pivot tables, maps, and forecasting data. You will also learn about Microsoft Power BI. Our intention is to give you thorough preparation. This Data Analyst Training bundle will prepare you to work as a data analyst. Each of the data analysis topics builds upon the one before it. And this is exactly why our Training is so beneficial. We promise that everything is presented in the proper sequence and that you won't get lost along the way. So why wait? Every day is a missed opportunity. Enrol Data Analysis today and enjoy a smooth learning experience. Learning Outcome of Data Analyst Training bundle Get introduced yourself to how to analyse data Know more about how to structure data analysis and forecast them Become fully aware of how to use Google data studio and Microsoft azure machine learning Gain the ability to use JavaScript Learn to protect your data by using a Data protection practitioner and Clinical Data Analysis Acquire knowledge of Machine Learning and how to use them with Python Get Data Analyst Training from the experts Understand the basics of data science and visualisation so that you can apply them frequently Key Features & Benefits: Quality Licence Scheme (QLS) endorsed CPD Accredited Lifetime Access & 24/7 Support on weekdays (Monday to Friday) Self-paced course modules Course materials feature captivating voice-overs and visuals Why Quality Licence Scheme (QLS)? Achieving Quality Licence Scheme endorsed certificates can provide you with valued and credible evidence of your skills and knowledge to potential employers. Quality Licence Scheme (QLS) endorsements are awarded to training programmes and courses that meet high quality standards, ensuring that your certificate represents a valuable achievement. The stringent assessment process involved in achieving Quality Licence Scheme Endorsed Certificates ensures that you have acquired the necessary skills and knowledge to excel in your chosen field. With our Data Analyst (Data Analytics) bundle course, you can gain a solid foundation in data analysis and get your foot in the thriving data world. Diploma in Data Analysis Fundamentals ( QLS Level 5 Endorsed ) Business Data Analysis Data Analysis In Excel ( QLS Level 5 Endorsed ) Diploma in Data Analytics with Tableau ( QLS Level 6 Endorsed ) Data Protection Microsoft Power BI - Master Power BI in 90 Minutes! Data Analyst (Data Analytics) bundle course will educate you on the basics of data analysis, including process management principles, various tools & techniques for data analysis, the strategies to deal with variations, and the interpretation of charts. Along with that, you will also gain a clear idea of analysing and visualising data using excel. This Data Analyst course will teach you how to create pivot tables, map and forecasting data. CPD 150 CPD hours / points Accredited by CPD Quality Standards Who is this course for? This Data Analyst (Data Analytics) Training is ideal for highly motivated individuals who want to enhance their professional skills and train for the job they want! Requirements There are no formal entry requirements for the Data Analyst Training, with enrollment open to anyone! Career path This Data Analyst Training Bundle is ideal for anyone who wants to take their career development to the next level and fast-track their career in any of the following roles: Data analytics manager Financial analyst Marketing analyst Systems analyst Data scientist Machine learning engineer Data analytics consultant In the UK, these professions' pay scale ranges from £45,000 to £120,000 per year. Certificates Certificate of completion Digital certificate - £9 CPD Accredited Certification from One Education Once you have finished the bundle, you will be eligible to apply for CPD QS-accredited certificates. Certification is available in both PDF & hardcopy format, which can be received by paying - PDF Certificate: £9 Hardcopy Certificate (within the UK): £15 Hardcopy Certificate (international): £15 + £10 (postal charge) = £25 Certificate of completion Hard copy certificate - £109 Endorsed Certificate of Achievement from the Quality Licence Scheme After successfully completing the following courses under the bundle, learners will be able to order endorsed certificates as proof of their achievement: Diploma in Data Analyst Fundamentals (within the UK: £109, International: £119) Data Analyst In Excel (within the UK: £109, International: £119) Diploma in Data Analytics with Tableau (within the UK: £119, International: £129

Learn GitHub Actions in a weekend! This course covers all the important concepts to help you master GitHub Actions and its practical applications. Gain in-demand skills, design a CI/CD pipeline, and deploy infra as code with GitHub Actions. Boost your career with this essential skill for DevOps practices.

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

Step-by-step tutorial to build a robust automation framework - TestNG, ANT, Maven, Jenkins, Cucumber, Git, Pageobject, Cloud,SQL