1113 Statistics courses delivered Online

Securing UNIX systems training course description This course teaches you everything you need to know to build a safe Linux environment. The first section handles cryptography and authentication with certificates, openssl, mod_ssl, DNSSEC and filesystem encryption. Then Host security and hardening is covered with intrusion detection, and also user management and authentication. Filesystem Access control is then covered. Finally network security is covered with network hardening, packet filtering and VPNs. What will you learn Secure UNIX accounts. Secure UNIX file systems. Secure UNIX access through the network. Securing UNIX systems course details Who will benefit: Linux technical staff needing to secure their systems. Prerequisites: Linux system administration (LPIC-1) Duration 5 days Securing UNIX systems course contents Cryptography Certificates and Public Key Infrastructures X.509 certificates, lifecycle, fields and certificate extensions. Trust chains and PKI. openssl. Public and private keys. Certification authority. Manage server and client certificates. Revoke certificates and CAs. Encryption, signing and authentication SSL, TLS, protocol versions. Transport layer security threats, e.g. MITM. Apache HTTPD with mod_ssl for HTTPS service, including SNI and HSTS. HTTPD with mod_ssl to authenticate users using certificates. HTTPD with mod_ssl to provide OCSP stapling. Use OpenSSL for SSL/TLS client and server tests. Encrypted File Systems Block device and file system encryption. dm-crypt with LUKS to encrypt block devices. eCryptfs to encrypt file systems, including home directories and, PAM integration, plain dm-crypt and EncFS. DNS and cryptography DNSSEC and DANE. BIND as an authoritative name server serving DNSSEC secured zones. BIND as an recursive name server that performs DNSSEC validation, KSK, ZSK, Key Tag, Key generation, key storage, key management and key rollover, Maintenance and resigning of zones, Use DANE. TSIG. Host Security Host Hardening BIOS and boot loader (GRUB 2) security. Disable useless software and services, sysctl for security related kernel configuration, particularly ASLR, Exec-Shield and IP / ICMP configuration, Exec-Shield and IP / ICMP configuration, Limit resource usage. Work with chroot environments, Security advantages of virtualization. Host Intrusion Detection The Linux Audit system, chkrootkit, rkhunter, including updates, Linux Malware Detect, Automate host scans using cron, AIDE, including rule management, OpenSCAP. User Management and Authentication NSS and PAM, Enforce password policies. Lock accounts automatically after failed login attempts, SSSD, Configure NSS and PAM for use with SSSD, SSSD authentication against Active Directory, IPA, LDAP, Kerberos and local domains, Kerberos and local domains, Kerberos tickets. FreeIPA Installation and Samba Integration FreeIPA, architecture and components. Install and manage a FreeIPA server and domain, Active Directory replication and Kerberos cross-realm trusts, sudo, autofs, SSH and SELinux integration in FreeIPA. Access Control Discretionary Access Control File ownership and permissions, SUID, SGID. Access control lists, extended attributes and attribute classes. Mandatory Access Control TE, RBAC, MAC, DAC. SELinux, AppArmor and Smack. etwork File Systems NFSv4 security issues and improvements, NFSv4 server and clients, NFSv4 authentication mechanisms (LIPKEY, SPKM, Kerberos), NFSv4 pseudo file system, NFSv4 ACLs. CIFS clients, CIFS Unix Extensions, CIFS security modes (NTLM, Kerberos), mapping and handling of CIFS ACLs and SIDs in a Linux system. Network Security Network Hardening FreeRADIUS, nmap, scan methods. Wireshark, filters and statistics. Rogue router advertisements and DHCP messages. Network Intrusion Detection ntop, Cacti, bandwidth usage monitoring, Snort, rule management, OpenVAS, NASL. Packet Filtering Firewall architectures, DMZ, netfilter, iptables and ip6tables, standard modules, tests and targets. IPv4 and IPv6 packet filtering. Connection tracking, NAT. IP sets and netfilter rules, nftables and nft. ebtables. conntrackd Virtual Private Networks OpenVPN server and clients for both bridged and routed VPN networks. IPsec server and clients for routed VPN networks using IPsec-Tools / racoon. L2TP.

IASSC lean six sigma yellow belt course. Online, 24/7 access to content and exam. Fee includes learning content, tutor support, and official IASSC exam.

Are you ready to take your data analysis skills to the next level? Introducing the Statistical Analysis and Data Science bundle - the ultimate collection of courses for anyone looking to dive deeper into the world of data. The bundle features a QLS-endorsed course, which means you will receive a QLS hardcopy certificate upon completion. This certificate is a mark of quality and can help you stand out in a competitive job market. But that's not all - the bundle also includes 10 other relevant courses, all CPD-QS accredited, to ensure you have a comprehensive understanding of statistical analysis and data science. You'll learn everything from the basics of statistical analysis to advanced SAS programming and big data analytics. Our courses were designed by people who are passionate about sharing their knowledge with you. With our easy-to-follow modules, you'll be able to learn at your own pace and from the comfort of your own home. Whether you're a seasoned data analyst looking to expand your skills or a newcomer to the field, the Statistical Analysis and Data Science bundle has everything you need to succeed. So why wait? Enrol now and take the first step towards becoming a data analysis expert! This Diploma in Statistical Analysis at QLS Level 5 Bundle Package includes: Course 01: Diploma in Statistical Analysis at QLS Level 5 10 Premium Additional CPD QS Accredited Courses - Course 01: Data Analytics with Tableau Course 02: Big Data Analytics with PySpark Tableau Desktop and MongoDB Course 03: Data Science & Machine Learning with R Training Course 04: SQL for Data Science, Data Analytics and Data Visualization Course 05: Advanced SAS Programming Using MacrosSQL Course 06: SQL NoSQL Big Data and Hadoop Course 07: Statistical Concepts and Application with R Course 08: Business Data Analysis Course 09: Business Intelligence and Data Mining Diploma Course 10: Data Analysis In Excel Why Prefer This Statistical Analysis and Data Science Bundle? You will receive a completely free certificate from the Quality Licence Scheme Option to purchase 10 additional certificates accredited by CPD Get a free Student ID Card - (£10 postal charges will be applicable for international delivery) Free assessments and immediate success results 24/7 Tutor Support After taking this Statistical Analysis and Data Science bundle courses, you will be able to learn: Develop a comprehensive understanding of statistical analysis and data science principles Gain expertise in data analytics tools such as Tableau, PySpark, MongoDB, R, SQL, SAS, and Hadoop Learn advanced data science techniques, including machine learning, data mining, and business intelligence Acquire skills in data visualisation, data cleansing, and data analysis in Excel Apply statistical concepts and methods to real-world scenarios Build a strong foundation in data-driven decision-making Develop problem-solving skills and learn how to make data-driven decisions ***Curriculum breakdown of Statistical Analysis*** Module 01: The Realm of Statistics Module 02: Basic Statistical Terms Module 03: The Center of the Data Module 04: Data Variability Module 05: Binomial and Normal Distributions Module 06: Introduction to Probability Module 07: Estimates and Intervals Module 08: Hypothesis Testing Module 09: Regression Analysis Module 10: Algorithms, Analytics and Predictions Module 11: Learning From Experience: The Bayesian Way Module 12: Doing Statistics: The Wrong Way Module 13: How We Can Do Statistics Better How is the Statistical Analysis and Data ScienceBundle 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. You will be entitled to claim a certificate endorsed by the Quality Licence Scheme after you successfully pass the exams. CPD 250 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Professionals looking to expand their skills in data analysis Students interested in a career in data science and analytics Entrepreneurs looking to make data-driven decisions Anyone interested in learning statistical analysis and data science principles Career path Our courses will prepare you for a range of careers, including: Data Analyst: £25,000 - £40,000 Business Analyst: £30,000 - £50,000 Data Scientist: £40,000 - £70,000 Business Intelligence Analyst: £35,000 - £55,000 Big Data Engineer: £50,000 - £80,000 Data Warehouse Architect: £60,000 - £100,000 Certificates CPD QS Accredited Certificate Digital certificate - Included Upon successfully completing the Bundle, you will need to place an order to receive a PDF Certificate for each course within the bundle. These certificates serve as proof of your newly acquired skills, accredited by CPD QS. Also, the certificates are recognised throughout the UK and internationally. CPD QS Accredited Certificate Hard copy certificate - Included International students are subject to a £10 delivery fee for their orders, based on their location. Diploma in Statistical Analysis at QLS Level 5 Hard copy certificate - Included

I think everyone would agree that poorly called or run meetings waste valuable time for any organisation. This course will show you how to run meetings effectively and improve your ability to instigate actions that are quick and efficient. The course starts with some basic definitions and statistics that outline how important running meetings effectively can be. It examines factors that make meetings great, and some practical steps you can take to ensure everything runs smoothly and successful outcomes are achieved. It also covers some of the ways you can handle any problems that may arise. Finally, it looks at different decision-making approaches you can use and finishes off with some notes on keeping a learning log to help you learn and grow, ultimately becoming a more confident and effective participant or chairperson.

We're passionate about equipping churches to respond to domestic abuse. Our Domestic Abuse Awareness course will help you explore key questions around the issue of domestic abuse, like how to recognise the signs of domestic abuse, why domestic abuse happens, and how to start supporting survivors.

Description Actuarial Science Diploma  Introducing the Actuarial Science Diploma, an innovative online course tailored to empower aspiring actuaries with essential knowledge and skills. This comprehensive programme offers a deep dive into the world of actuarial science, covering critical topics such as probability and statistics, life insurance mathematics, and financial economics, among others. The course blends theoretical concepts with practical applications, preparing students for a successful career in the actuarial field.  The Actuarial Science Diploma course starts with an introduction to actuarial science, providing a solid foundation for students to build upon. They will gain a thorough understanding of the role of actuaries in various industries and learn how to apply mathematical and statistical concepts to solve complex financial problems.  As students progress through the course, they will delve into the intricacies of probability and statistics in actuarial science. This segment covers essential statistical concepts, equipping students with the tools to evaluate and manage risk in various financial contexts. With a strong focus on practical examples, learners will develop the analytical skills needed to make informed decisions based on statistical data.  Life insurance mathematics is another vital component of the Actuarial Science Diploma. In this section, students will explore the principles of life insurance, including the calculation of premiums and reserves. They will also examine the factors influencing life insurance pricing and learn how to create suitable products for diverse client needs.  The course then moves on to general insurance mathematics, where students will study the fundamentals of property and casualty insurance. They will gain insight into pricing, reserving, and risk management in this sector, as well as discover the regulatory environment surrounding general insurance products.  Pension fund mathematics is also covered in the Actuarial Science Diploma programme. Students will learn the key concepts related to pension schemes, including valuation, funding, and asset-liability management. They will develop a clear understanding of the various types of pension plans and their implications for both employers and employees.  Health insurance mathematics is another essential topic addressed in this course. Students will gain a thorough understanding of the principles and practices associated with health insurance products. They will explore the methods used to price and reserve health insurance policies and learn how to manage the risks associated with providing healthcare coverage.  Financial economics plays a significant role in actuarial science, and this course provides a comprehensive overview of the subject. Students will explore the relationship between financial markets and actuarial practice, learning how to apply economic theories and models to solve real-world financial problems.  Enterprise risk management is another key area of focus in the Actuarial Science Diploma course. Students will learn about the various techniques and methodologies used to identify, assess, and manage risks within an organisation. They will also examine the role of actuaries in developing and implementing effective risk management strategies.  Actuarial modelling and simulation is a crucial skill for actuaries, and this course equips students with the expertise to build and analyse sophisticated models. They will learn how to use actuarial software and develop a strong understanding of the underlying principles of actuarial modelling.  Finally, the Actuarial Science Diploma programme addresses professionalism and ethics in actuarial practice. Students will learn about the ethical standards and professional responsibilities expected of actuaries, ensuring that they are well-prepared for a successful and ethical career in the industry.  In summary, the Actuarial Science Diploma is an outstanding online course designed to provide aspiring actuaries with a comprehensive understanding of the key concepts, techniques, and applications in the field. With a strong focus on practical skills and real-world examples, students will be well-equipped to excel in their chosen actuarial career path.  What you will learn  1:Introduction to Actuarial Science  2:Probability and Statistics in Actuarial Science  3:Life Insurance Mathematics  4:General Insurance Mathematics  5:Pension Fund Mathematics  6:Health Insurance Mathematics  7:Financial Economics in Actuarial Science  8:Enterprise Risk Management  9:Actuarial Modelling and Simulation  10:Professionalism and Ethics in Actuarial Practice  Course Outcomes After completing the course, you will receive a diploma certificate and an academic transcript from Elearn college. Assessment Each unit concludes with a multiple-choice examination. This exercise will help you recall the major aspects covered in the unit and help you ensure that you have not missed anything important in the unit. The results are readily available, which will help you see your mistakes and look at the topic once again. If the result is satisfactory, it is a green light for you to proceed to the next chapter. Accreditation Elearn College is a registered Ed-tech company under the UK Register of Learning( Ref No:10062668). After completing a course, you will be able to download the certificate and the transcript of the course from the website. For the learners who require a hard copy of the certificate and transcript, we will post it for them for an additional charge.

Slips, trips and falls account for almost a third of non fatal injuries at work. It is a widely held belief that with just a few minor changes to working practices and attitudes this could be reduced significantly. This course will introduce you to some of the statistics relating to slips, trips and falls and dispel some of the myths surrounding them. It also touches on the law as it relates to slips, trips and falls. It contains real examples of where things have gone wrong and some practical steps that could have been taken to prevent these incidents. The course also covers some of the straightforward changes that can be made in most businesses to significantly reduce the risk of a slip, trip or fall incident occurring. The final module takes this to the next level and looks at it from a management perspective.

LTE optimization training course description This course gives delegates an understanding of the Key Performance Indicators used within the 3G LTE (4G) network environment. We investigate the 3GPP standards for KPIs (including TR 32.814, TS 32.410 & TS 32.455) these cover GERAN, UMTS & LTE environments. The course details the optimisation procedures and the use of Self optimisation, Selforganising & Self-healing equipment now being deployed across all releases of mobile networks. What will you learn Explain the RF optimisation flowchart. Describe the importance of Reference Signal Received Power (RSRP). List many of the 3GPP recommended KPIs. Describe the concept of APN AMBR and UE AMBR within LTE. Describe the use of planning and optimisation computer tools. LTE optimization training course details Who will benefit: Anyone working with LTE. Prerequisites: Essential LTE Duration 2 days LTE optimization training course contents Introduction to the cellular environment The architecture, 2G (GSM), GPRS/EDGE, The NGMN (Next Generation Mobile Network), media gateway controller, 3GPP Rel99 the 3G introduction, HSPA deployments, 3G LTE (4G). Cellular network procedures GSM/GPRS call setup, GPRS data call setup, 3G UMTS data call setup, Data call (Voice over LTE) in LTE (using IMS), Circuit Switched Fall Back (CSFB) in LTE, IP packet session in LTE. Introduction to the standards The 3GPP specifications body, The numbering structure for KPIs, 2G KPIs, 3G/UMTS KPIs, 3G LTE KPIs, IMS KPIs. Introduction to the KPI definitions KPI definitions, accessibility KPIs, retainability KPIs, mobility KPIs, utilisation KPIs. In-depth overview of the air Interfaces GSM/GPRS FDMA & TDMA solution, 3G UMTS WCDMA solution, HSPA+ sharing spare power (Codes), The 3G LTE uplink & downlink interface explained, Initial attach procedures explained. Problem analysis Reference Signal Received Power (RSRP), Signal to Interference Noise Ratio (SINR), handover success rates, power adjustments, classification of coverage problems, weak coverage & coverage holes, lack of dominant cells, cross coverage, improper tilt settings, uplink/downlink imbalance, signal quality, Azimuths & tilts to reduce interference, Handover failure due to interference, Service drop causes. Mobile RF performance in 2G/3G Performance counters, KPIs, testing & measurement, Drive testing and survey, Data collection and post processing of data, LTE service optimization, bandwidth, poor coverage, Quality, optimization process, KPI optimization, Root Cause Analysis (RCA) applied to RF issues, optimization tools and software. Advanced LTE network planning & optimization LTE UE measurements (RSRP/RSRQ), LTE capacity planning, RF configuration parameters, LTE cell selection/reselection planning, LTE radio network KPIs, LTE user-centric KPIs, LTE network performance KPIs, LTE system utilization KPIs, LTE RF channel performance predictions, LTE channel information processing, LTE channel multiplexing, Physical layer and structure, MIMO in LTE, LTE resource plan LTE and Self-Organizing Networks (SON). Radio network optimization work flow Work flow, the existing network, Optimization team establishment and cluster division, Single site verification, Alarm check, Cell state check, Radio parameters check, Site verification, Statistics analysis, Coverage problem analysis. Mobile internet and QoS issues Cellular QoS reference models. How QoS impact on KPIs and measurements, Introduction to mobile internet, The concept of shared access technologies, Support for QoS in the WCDMA environment, The PDP context model, Supporting end-to-end QoS, EPS bearer concepts, Default EPS bearer, Dedicated EPS bearer, APN-AMBR, UE-AMBR.

Securing Linux systems training course description This course teaches you everything you need to know to build a safe Linux environment. The first section handles cryptography and authentication with certificates, openssl, mod_ssl, DNSSEC and filesystem encryption. Then Host security and hardening is covered with intrusion detection, and also user management and authentication. Filesystem Access control is then covered. Finally network security is covered with network hardening, packet filtering and VPNs. What will you learn Secure Linux accounts. Secure Linux file systems. Secure Linux access through the network. Securing Linux systems training course details Who will benefit: Linux technical staff needing to secure their systems. Prerequisites: Linux system administration (LPIC-1) Duration 5 days Securing Linux systems training course contents Cryptography Certificates and Public Key Infrastructures X.509 certificates, lifecycle, fields and certificate extensions. Trust chains and PKI. openssl. Public and private keys. Certification authority. Manage server and client certificates. Revoke certificates and CAs. Encryption, signing and authentication SSL, TLS, protocol versions. Transport layer security threats, e.g. MITM. Apache HTTPD with mod_ssl for HTTPS service, including SNI and HSTS. HTTPD with mod_ssl to authenticate users using certificates. HTTPD with mod_ssl to provide OCSP stapling. Use OpenSSL for SSL/TLS client and server tests. Encrypted File Systems Block device and file system encryption. dm-crypt with LUKS to encrypt block devices. eCryptfs to encrypt file systems, including home directories and, PAM integration, plain dm-crypt and EncFS. DNS and cryptography DNSSEC and DANE. BIND as an authoritative name server serving DNSSEC secured zones. BIND as an recursive name server that performs DNSSEC validation, KSK, ZSK, Key Tag, Key generation, key storage, key management and key rollover, Maintenance and resigning of zones, Use DANE. TSIG. Host Security Host Hardening BIOS and boot loader (GRUB 2) security. Disable useless software and services, sysctl for security related kernel configuration, particularly ASLR, Exec-Shield and IP / ICMP configuration, Exec-Shield and IP / ICMP configuration, Limit resource usage. Work with chroot environments, Security advantages of virtualization. Host Intrusion Detection The Linux Audit system, chkrootkit, rkhunter, including updates, Linux Malware Detect, Automate host scans using cron, AIDE, including rule management, OpenSCAP. User Management and Authentication NSS and PAM, Enforce password policies. Lock accounts automatically after failed login attempts, SSSD, Configure NSS and PAM for use with SSSD, SSSD authentication against Active Directory, IPA, LDAP, Kerberos and local domains, Kerberos and local domains, Kerberos tickets. FreeIPA Installation and Samba Integration FreeIPA, architecture and components. Install and manage a FreeIPA server and domain, Active Directory replication and Kerberos cross-realm trusts, sudo, autofs, SSH and SELinux integration in FreeIPA. Access Control Discretionary Access Control File ownership and permissions, SUID, SGID. Access control lists, extended attributes and attribute classes. Mandatory Access Control TE, RBAC, MAC, DAC. SELinux, AppArmor and Smack. etwork File Systems NFSv4 security issues and improvements, NFSv4 server and clients, NFSv4 authentication mechanisms (LIPKEY, SPKM, Kerberos), NFSv4 pseudo file system, NFSv4 ACLs. CIFS clients, CIFS Unix Extensions, CIFS security modes (NTLM, Kerberos), mapping and handling of CIFS ACLs and SIDs in a Linux system. Network Security Network Hardening FreeRADIUS, nmap, scan methods. Wireshark, filters and statistics. Rogue router advertisements and DHCP messages. Network Intrusion Detection ntop, Cacti, bandwidth usage monitoring, Snort, rule management, OpenVAS, NASL. Packet Filtering Firewall architectures, DMZ, netfilter, iptables and ip6tables, standard modules, tests and targets. IPv4 and IPv6 packet filtering. Connection tracking, NAT. IP sets and netfilter rules, nftables and nft. ebtables. conntrackd Virtual Private Networks OpenVPN server and clients for both bridged and routed VPN networks. IPsec server and clients for routed VPN networks using IPsec-Tools / racoon. L2TP.

Overview This comprehensive course on Clinical Data Analysis with SAS will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Clinical Data Analysis with SAS comes with accredited certification, 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 Clinical Data Analysis with SAS. It is available to all students, of all academic backgrounds. Requirements Our Clinical Data Analysis with SAS 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 Having these various qualifications will increase the value in your CV and open you up to multiple sectors such as Business & Management, Admin, Accountancy & Finance, Secretarial & PA, Teaching & Mentoring etc. Course Curriculum 5 sections • 30 lectures • 01:54:00 total length •Course Promo: 00:01:00 •1.1 Components of the Pharma Industry: 00:05:00 •1.2 Phases of Clinical Trials: 00:06:00 •1.3 Data and Reports in Clinical Trials: 00:04:00 •1.4 Types of Data: 00:05:00 •2.1 Clinical Study Protocol: 00:02:00 •2.2 Ethical Consent: 00:01:00 •2.3 Inclusion-Exclusion Criteria: 00:01:00 •2.4 Statistical Analysis Plan: SAP, Mockshell and CRF: 00:04:00 •3.1 General SAS Programming Steps: 00:02:00 •3.2 One Search Report: Demographics Table: 00:04:00 •3.3 Understanding the Demographics Table: 00:03:00 •3.4 Programming the Demographics Table: 00:05:00 •3.5 Importing Raw Demographic Data into the SAS: 00:04:00 •3.6 Deciding what Procedure to Use: 00:02:00 •3.7 Deriving the AGE variable: 00:10:00 •3.8 Obtaining Summary Statistics for AGE: 00:04:00 •3.9 Adding the 3rd Treatment Group using Explicit Output: 00:05:00 •3.10 Deriving the SEX variable: 00:03:00 •3.11 Obtaining Summary Statistics for SEX: 00:03:00 •3.12 Concatenating the COUNT and PERCENT Variables: 00:03:00 •3.13 Deriving the RACE Variable: 00:03:00 •3.14 Obtaining Summary Statistics for RACE: 00:03:00 •3.15 Stacking All the 3 Summary Statistics Together: 00:06:00 •3.16 Fixing the Precision Points: 00:04:00 •3.17 Transposing Data: 00:03:00 •3.18 Fixing the Order of Statistical Parameters: 00:05:00 •3.19 Building the Final Report: 00:02:00 •3.20 Putting the Final Touches to the Report: 00:11:00 •Resources - Clinical Data Analysis with SAS: 00:00:00