1119 Courses in Cardiff delivered Online

24 Hours Left! Don't Let Year-End Deals Slip Away - Enrol Now! This Diploma in Statistical Analysis 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! Are you looking to improve your current abilities or make a career move? If yes, our unique Statistical Analysis at QLS Level 5 course might help you get there! It is an expertly designed course which ensures you learn everything about the topic thoroughly. Expand your expertise with high-quality training from the Statistical Analysis at QLS Level 5 course. Due to Statistical Analysis at QLS Level 5's massive demand in the competitive market, you can use our comprehensive course as a weapon to strengthen your knowledge and boost your career development. Learn Statistical Analysis at QLS Level 5 from industry professionals and quickly equip yourself with the specific knowledge and skills you need to excel in your chosen career. The Statistical Analysis at QLS Level 5 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 Statistical Analysis at QLS Level 5 course, an instant e-certificate will be exhibited in your profile that you can order as proof of your skills and knowledge. Add these amazing new skills to your resume and boost your employability by simply enrolling in this Statistical Analysis at QLS Level 5 course. This Statistical Analysis at QLS Level 5 training can help you to accomplish your ambitions and prepare you for a meaningful career. So, join us today and gear up for excellence! Why Prefer This Statistical Analysis at QLS Level 5 Course? Opportunity to earn a certificate endorsed by the Quality Licence Scheme & another accredited by CPDQS which is completely free. 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. Take a step toward a brighter future! *** Course Curriculum *** Here is the curriculum breakdown of the Statistical Analysis at QLS Level 5 course: 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 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 have completed all of the Diploma in Statistical Analysis at QLS Level 5 exams. CPD 150 CPD hours / points Accredited by CPD Quality Standards Who is this course for? This Statistical Analysis at QLS Level 5 course is perfect for highly motivated people who want to improve their technical skills and prepare for the career they want! Requirements No prior background or expertise is required. Career path The Statistical Analysis at QLS Level 5 course will boost your CV and aims to help you get the job or even the long-awaited promotion of your dreams. Certificates CPDQS Accredited Certificate Digital certificate - Included Diploma in Statistical Analysis at QLS Level 5 Hard copy certificate - Included Show off Your New Skills with a Certificate of Completion After successfully completing the Diploma in Statistical Analysis at QLS Level 5, you can order an original hardcopy certificate of achievement endorsed by the Quality Licence Scheme andalso you can order CPDQSAccredited Certificate that is recognised all over the UK and also internationally. The certificates will be home-delivered, completely free of cost.

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.

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.

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.

Register on the Statistical Analysis today and build the experience, skills and knowledge you need to enhance your professional development and work towards your dream job. Study this course through online learning and take the first steps towards a long-term career. The course consists of a number of easy to digest, in-depth modules, designed to provide you with a detailed, expert level of knowledge. Learn through a mixture of instructional video lessons and online study materials. Receive online tutor support as you study the course, to ensure you are supported every step of the way. Get a digital certificate as proof of your course completion. The Statistical Analysis is incredibly great value and allows you to study at your own pace. Access the course modules from any internet-enabled device, including computers, tablet, and smartphones. The course is designed to increase your employability and equip you with everything you need to be a success. Enrol on the now and start learning instantly! What You Get With The Statistical Analysis Receive a e-certificate upon successful completion of the course Get taught by experienced, professional instructors Study at a time and pace that suits your learning style Get instant feedback on assessments 24/7 help and advice via email or live chat Get full tutor support on weekdays (Monday to Friday) Course Design The course is delivered through our online learning platform, accessible through any internet-connected device. There are no formal deadlines or teaching schedules, meaning you are free to study the course at your own pace. You are taught through a combination of Video lessons Online study materials Certification Upon successful completion of the course, you will be able to obtain your course completion e-certificate free of cost. Print copy by post is also available at an additional cost of £9.99 and PDF Certificate at £4.99. Who Is This Course For: The course is ideal for those who already work in this sector or are an aspiring professional. This course is designed to enhance your expertise and boost your CV. Learn key skills and gain a professional qualification to prove your newly-acquired knowledge. Requirements: The online training is open to all students and has no formal entry requirements. To study the Statistical Analysis, all your need is a passion for learning, a good understanding of English, numeracy, and IT skills. You must also be over the age of 16. Course Content Module 01: The Realm of Statistics The Realm Of Statistics 00:28:00 Module 02: Basic Statistical Terms Basic Statistical Terms 00:43:00 Module 03: The Center of the Data The Center of the Data 00:07:00 Module 04: Data Variability Data Variability 00:15:00 Module 05: Binomial and Normal Distributions Binomial and Normal Distributions 00:14:00 Binomial Probabilities Table 00:14:00 Z-Table 00:04:00 Module 06: Introduction to Probability Introduction to Probability 00:37:00 Module 07: Estimates and Intervals Estimates and Intervals 00:36:00 Module 08: Hypothesis Testing Hypothesis Testing 00:33:00 Module 09: Regression Analysis Regression Analysis 00:11:00 Module 10: Algorithms, Analytics and Predictions Algorithms, Analytics and Prediction 00:49:00 Module 11: Learning From Experience: The Bayesian Way Learning From Experience: The Bayesian Way 00:33:00 Module 12: Doing Statistics: The Wrong Way Doing Statistics: The Wrong Way 00:39:00 Module 13: How We Can Do Statistics Better How We Can Do Statistics Better 00:43:00 Assignment Assignment - Statistical Analysis 00:00:00 Frequently Asked Questions Are there any prerequisites for taking the course? There are no specific prerequisites for this course, nor are there any formal entry requirements. All you need is an internet connection, a good understanding of English and a passion for learning for this course. Can I access the course at any time, or is there a set schedule? You have the flexibility to access the course at any time that suits your schedule. Our courses are self-paced, allowing you to study at your own pace and convenience. How long will I have access to the course? For this course, you will have access to the course materials for 1 year only. This means you can review the content as often as you like within the year, even after you've completed the course. However, if you buy Lifetime Access for the course, you will be able to access the course for a lifetime. Is there a certificate of completion provided after completing the course? Yes, upon successfully completing the course, you will receive a certificate of completion. This certificate can be a valuable addition to your professional portfolio and can be shared on your various social networks. Can I switch courses or get a refund if I'm not satisfied with the course? We want you to have a positive learning experience. If you're not satisfied with the course, you can request a course transfer or refund within 14 days of the initial purchase. How do I track my progress in the course? Our platform provides tracking tools and progress indicators for each course. You can monitor your progress, completed lessons, and assessments through your learner dashboard for the course. What if I have technical issues or difficulties with the course? If you encounter technical issues or content-related difficulties with the course, our support team is available to assist you. You can reach out to them for prompt resolution.

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

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

Peering at LINX training course description A one or two day induction course covering the technical procedures of LINX along with correct interaction with LINX and LINX members. This course focuses on the implementation of the technologies within the LINX network. For those already competent in BGP the one day version of this course is sufficient. What will you learn Explain the role of LINX in the Internet. Correctly connect to LINX. Recognise the correct procedures for peering at LINX. Use the current Best Current Practices. Peering at LINX training course details Who will benefit: Technical staff of new LINX members. Technical staff of companies preparing to join LINX. Non technical staff may also benefit from this course. Prerequisites: None. (For technical staff with BGP knowledge 1 day) Duration 1 to 2 days Peering at LINX training course contents Introduction and review Networks, The Internet, IP, routers, Autonomous systems, the structure of the Internet, the role of Internet Exchanges. BGP and peering. LINX, EuroIX, RIPE. What you get when you join LINX. LINX products: Connexions, Virtual PoPs, Colocation resales, LINX from anywhere. LINX infrastructure The original architecture, The growth of LINX, the current topology. LINX London locations. Dual LAN topology. LON1, LON2. Use of MPLS to connect London sites. Regional peering: LINX NoVa, LINX Manchester, LINX Wales, LINX Scotland, ManxIX, JEDIX. Connecting with LINX nnecting with LINX Locations. 1/10/100/400G. Interface specifications. Link aggregation. The racks and space provided, access to the racks, connecting WAN circuits into LINX. The connection form, How to link your ISP with LINX, switch assignments, limits on traffic, average measured traffic, getting statistics from LINX, Using looking glass. Allowed traffic. Port security Configuration hints LINX IP details, IPv4, IPv6, PTR records, Cisco base configuration, Juniper base configuration. Peering with other LINX members Preparing for peering, the peering template, setting up the peering, RFC 2142, the RIPE database, contacts, peeringdb.net, solving downed BGP sessions, escalation procedures. Peering configuration hints Cisco BGP configuration, Juniper BGP configuration. LINX additional services Private interconnect, LINX time service. NTP, Strata. The LINX route server Bi lateral peering, Multi lateral peering. How the LINX route server is configured. Use of communities on the route server, template for peering with the route server. Summary Getting further information, the LINX website, the LINX mailing lists.

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.

Overview Business intelligence analysis plays a significant role in determining the success and failure of the business. Hence, skilled analysts are high-value employees in the business sector. If you want to be one of them, start working on your skills. Our exclusive Business Intelligence Analysis Training can help you out with your skill-building In this comprehensive training program, you will get a detailed understanding of business intelligence analysis. The course will educate you on the principles of real-time business analysis, SQL and data management. From the engaging modules, you will learn about statistics and data science. The course will also teach you the strategies of data visualisation and sat warehouse concepts. By the end of the course, you will also grasp the ABCs of Python programming language. This is the perfect skill and career booster. Join now and open new doors or possibilities! Course Preview Learning Outcomes Understand the core principles of real-time business intelligence Grasp a solid understanding of statistics and data science Build your expertise in SQL and database management Develop your skills in data visualisation in business intelligence Introduce yourself to the basics of Python Why Take This Course From John Academy? Affordable, well-structured and high-quality e-learning study materials Meticulously crafted engaging and informative tutorial videos and materials Efficient exam systems for the assessment and instant result Earn UK & internationally recognised accredited qualification Easily access the course content on mobile, tablet, or desktop from anywhere, anytime Excellent career advancement opportunities Get 24/7 student support via email What Skills Will You Learn from This Course? Data management Business intelligence analysis Statistics Who Should Take This Business Intelligence Analysis Training? Whether you're an existing practitioner or an aspiring professional, this course is an ideal training opportunity. It will elevate your expertise and boost your CV with key skills and a recognised qualification attesting to your knowledge. Are There Any Entry Requirements? This Business Intelligence Analysis Training is available to all learners of all academic backgrounds. But learners should be aged 16 or over to undertake the qualification. And a good understanding of the English language, numeracy, and ICT will be helpful. Business Intelligence Analysis Training Certification After completing and passing the Business Intelligence Analysis Training successfully, you will be able to obtain a Recognised Certificate of Achievement. Learners can obtain the certificate in hard copy at £14.99 or PDF format at £11.99. Career Path​ This exclusive Business Intelligence Analysis Training will equip you with effective skills and abilities and help you explore career paths such as  Business Intelligence Analyst Business Executive Entrepreneur Module-1: An Introduction To Business Intelligence An Introduction to Business Intelligence 00:45:00 Module-2: Real-Time Business Intelligence Real-time Business Intelligence 00:34:00 Module-3: Fundamentals Of Statistics And Data Science Fundamentals of Statistics and Data Science 00:49:00 Module-4: Fundamentals Of SQL Fundamentals of SQL 00:39:00 Module-5: Database Management Essentials Database Management Essentials 00:49:00 Module-6: Data Warehouse Concepts Data Warehouse Concepts 00:37:00 Module-7: Data Visualisation In Business Intelligence Data Visualisation in Business Intelligence 00:34:00 Module-8: Basics Of Python Basics of Python 00:26:00 Assignment Assignment - Business Intelligence Analyst 00:00:00 Order Your Certificate and Transcript Order Your Certificates and Transcripts 00:00:00