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Embark on a transformative journey into the realm of data mastery with our comprehensive course, 'Advanced SAS Programming Using MacrosSQL.' From demystifying the intricacies of SAS Studio to unlocking the potential of Proc SQL, this course is a gateway to proficiency in SAS programming and macro scripting. The curriculum, thoughtfully designed to accommodate learners of all levels, takes you through the essential foundations of SAS, the nuances of macro variables, and the power-packed functionalities of Proc SQL. Dive into the world of nested macro variables, conditional logic, and data manipulation, all while honing your skills through practical examples. This course isn't just about learning syntax; it's a hands-on exploration that empowers you to seamlessly connect the dots between SAS Studio and Proc SQL, bringing your data analytics capabilities to new heights. Learning Outcomes Master the fundamentals of SAS Studio and navigate through its interface effortlessly. Develop a deep understanding of macro variables, exploring their applications and delving into nested variations. Acquire proficiency in SAS Macros, from basic examples to advanced keyword usage and conditional logic. Unlock the potential of Proc SQL, gaining expertise in data copying, filtering, sorting, and removing duplicates. Harness the power of data merging using Joins, creating macro variables dynamically in the process. Why choose this Advanced SAS Programming Using MacrosSQL 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 SAS Programming Using MacrosSQL course for? Data enthusiasts seeking to enhance their SAS programming skills. Business analysts aiming to leverage SAS for more effective data analysis. IT professionals aspiring to streamline data management through SAS. Career path SAS Programmer: £35,000 - £55,000 Data Analyst: £30,000 - £50,000 Business Intelligence Developer: £40,000 - £60,000 Database Administrator: £35,000 - £60,000 Data Scientist: £45,000 - £70,000 Analytics Manager: £50,000 - £80,000 Prerequisites This Advanced SAS Programming Using MacrosSQL does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Advanced SAS Programming Using MacrosSQL was made by professionals and it is compatible with all PC's, Mac's, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection. Certification After studying the course materials, there will be a written assignment test which you can take at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £4.99 Original Hard Copy certificates need to be ordered at an additional cost of £8. Course Curriculum Advanced SAS Programming Using MacrosSQL Unit - 1 Section 0-00- Why SAS 00:01:00 Unit - 2 Section 2-02- SAS Studio through SAS OnDemand- Registration 00:04:00 Section 2-03- Logging-in to SAS after installation 00:01:00 Section 2-04- SAS Interface and windows 00:06:00 Unit - 3 Section 3-00- Section Overview - Macros 00:01:00 Section 3-01-Macro Variables - introduction 00:14:00 Section 3-02-Application of macro variables 00:13:00 Section 3-03-01-Nested macro vars 00:11:00 Section 3-03-02-More on Ampersand resolutions using a cool example 00:09:00 Section 3-04-00-SAS Macros - introduction 00:10:00 Section 3-04-01-SAS Macros - Examples 00:07:00 Section 3-04-02-Keyword positional and mixed params 00:06:00 Section 3-04-03-Conditional Logic in Macros 00:11:00 Section 3-05-Macro Functions 00:12:00 Section 3-05-Options Statement- mprint-mlogic-symbolgen 00:13:00 Section 3-07-Connecting the two worlds - Call Symput - Symget 00:14:00 Section 3-09-01-02- Bringing data into SAS using Import Wizard 00:04:00 Section 3-09-02- Bringing data into SAS using LIBNAME statement 00:05:00 Section 3-09-03- Bringing data into SAS using FILENAME 00:05:00 Unit - 4 Section 4-00- Section Overview - Proc SQL 00:01:00 Section 4-01-01-Proc SQL - copying data 00:13:00 Section 4-01-02-Proc SQL - filtering data 00:07:00 Section 4-01-03-Proc SQL - sorting data 00:08:00 Section 4-01-04-Proc SQL - removing duplicates 00:05:00 Section 4-02-01-Proc SQL - Union 00:09:00 Section 4-02-02-Proc SQL - Except 00:04:00 Section 4-02-03-Proc SQL - Intersect 00:02:00 Section 4-03-00-Merging data using Joins-Introduction 00:08:00 Section 4-03-01-Proc SQL - inner join 00:14:00 Section 4-03-02-Proc SQL - full join 00:08:00 Section 4-03-03-Proc SQL - left and right joins 00:07:00 Section 4-04-01-Proc SQL - creating macro vars 00:07:00 Unit - 5 Section 5-00- Bonus lecture 00:02:00

Overview Uplift Your Career & Skill Up to Your Dream Job - Learning Simplified From Home! Kickstart your career & boost your employability by helping you discover your skills, talents and interests with our special Enterprise Resource Planning (ERP) Course. You'll create a pathway to your ideal job as this course is designed to uplift your career in the relevant industry. It provides professional training that employers are looking for in today's workplaces. The Enterprise Resource Planning (ERP) Course is one of the most prestigious training offered at StudyHub and is highly valued by employers for good reason. This Enterprise Resource Planning (ERP) Course has been designed by industry experts to provide our learners with the best learning experience possible to increase their understanding of their chosen field. This Enterprise Resource Planning (ERP) Course, like every one of Study Hub's courses, is meticulously developed and well researched. Every one of the topics is divided into elementary modules, allowing our students to grasp each lesson quickly. At StudyHub, we don't just offer courses; we also provide a valuable teaching process. When you buy a course from StudyHub, you get unlimited Lifetime access with 24/7 dedicated tutor support. Why buy this Enterprise Resource Planning (ERP)? Unlimited access to the course for forever Digital Certificate, Transcript, student ID all included in the price Absolutely no hidden fees Directly receive CPD accredited qualifications after course completion Receive one to one assistance on every weekday from professionals Immediately receive the PDF certificate after passing Receive the original copies of your certificate and transcript on the next working day Easily learn the skills and knowledge from the comfort of your home Certification After studying the course materials of the Enterprise Resource Planning (ERP) there will be a written assignment test which you can take either during or at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £5.99. Original Hard Copy certificates need to be ordered at an additional cost of £9.60. Who is this course for? This Enterprise Resource Planning (ERP) course is ideal for Students Recent graduates Job Seekers Anyone interested in this topic People already working in the relevant fields and want to polish their knowledge and skill. Prerequisites This Enterprise Resource Planning (ERP) does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Enterprise Resource Planning (ERP) 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. Career path As this course comes with multiple courses included as bonus, you will be able to pursue multiple occupations. This Enterprise Resource Planning (ERP) is a great way for you to gain multiple skills from the comfort of your home. Course Curriculum Section 01: Operations of an Economic Entity: Enterprise Resource Planning Operations of an Economic Entity: Enterprise Resource Planning 00:03:00 The Hierarchical Perspective 00:02:00 Enterprise Resource Planning ERP 00:01:00 Technology's Role in Business 00:03:00 Types of Information Systems 00:03:00 Interrelations between Systems 00:01:00 Functional IT Systems 00:01:00 Section 02: Entrepreneurship Creativity & Innovation Enterprise Resource Planning: External Priorities 00:02:00 Why ERP? 00:02:00 Overall Implementation Requisites for ERP 00:02:00 Challenges of ERP Implementation in Business 00:02:00 Senior and Project Management 00:03:00 Critical Factors for Successful ERP Implementation 00:07:00 Implementation Steps 00:03:00 ERP: Integration and Supply Chain Support 00:02:00 Web Services Integration Options 00:02:00 Market Information and Sales Orders 00:02:00 Benefits of the Marketing Information System 00:02:00 Customer Relationship Management 00:02:00 Customer Relationship Management Functions 00:02:00 Section 03: Enterprise Resource Planning: Internal Priorities ERP: HR Planning and Utilization 00:03:00 What is an HRIS? 00:05:00 ERP: Electronic Commerce - Accounting System Interface 00:04:00 E-Commerce Supply Chain Management Solutions 00:04:00 Problems in ERP and E-Commerce Integration 00:01:00 Section 04: Operational Indicator, KPI's & Metrics Operational Indicator, KPI's and Metrics 00:03:00 What is Metrics? 00:01:00 Need for Metrics in Testing and Quality Analysis 00:01:00 Metrics Continued 00:04:00 What are Quality Metrics? 00:03:00 Tips of Selection of Quality Metrics 00:02:00 Lead, Spot & Lagged Indicators - Drive, Monitor & Report Indicators 00:05:00 Lean Manufacturing and Agility 00:05:00 Quantitative vs. Qualitative Indicators and Measurement Scope 00:02:00 Section 05: Measurement and Presentation Tools Measurement and Presentation Tools 00:02:00 Mechanisms of Success 00:03:00 Monitoring, Evaluation and Reporting 00:05:00 Balanced Scorecard Perspectives 00:04:00 Strategy Mapping 00:03:00 Balanced Scorecards vs. Dashboards 00:04:00 Metrics Measurements: IT Systems in ERP 00:04:00 Assignment Assignment - Enterprise Resource Planning (ERP) 00:00:00

Elevate your expertise in warehousing and storage with our comprehensive course for inventory managers. Explore fundamental principles, efficient warehouse design, streamlined operations, inventory control strategies, safety protocols, performance metrics, and emerging trends. Gain the knowledge to optimize your warehouse for success in the ever-evolving world of logistics and supply chain management.

Quality Guarantee: Promising training excellence, satisfaction gurantee Accredited by: CPD UK & Quality License Scheme Tutor Support: Unlimited support via email, till you complete the course Recognised Certification: Accepted by thousands of professional bodies Start Anytime: With 1 year access to the course materials Online Learning: Learn from anywhere, whenever you want From this course, you will understand the intricate structure and essential functions of Human Resources. You will gain a deep understanding of HR's role in organisations, from recruitment and training to employee relations and compliance. This course at a glance Accredited by CPD UK Endorsed by Quality Licence Scheme Boost your career in HR management or human resources management Deepen your knowledge and skills in your chosen field just in hours not years! Study a course that is easy to follow. Save money and time by studying at your convenient time Have access to a tutor whenever you are in need Why Human Resources Course (Structure, Function and Career) right for you? Whether you are self-taught and you want to fill in the gaps for better efficiency and productivity, this human resources (structure, function and career) course will set you up with a solid foundation to become a confident HR manager or human resources manager and develop more advanced skills. This comprehensive human resources (structure, function and career) course is the perfect way to kickstart your career in the field of HR management or human resources management. This course will give you a competitive advantage in your career, making you stand out from all other applicants and employees. As one of the leading course providers and most renowned e-learning specialists online, we're dedicated to giving you the best educational experience possible. This course is crafted by industry expert, to enable you to learn quickly and efficiently, and at your own pace and convenience. Human Resources Course (Structure, Function and Career) Details Accredited by CPD certificates are accepted by thousands of professional bodies and government regulators here in the UK and around the world. Many organisations look for employees with CPD requirements, which means, that by doing this course, you would be a potential candidate in your respective field.   The Quality Licence Scheme is a brand of the Skills and Education Group, a leading national awarding organisation for providing high-quality vocational qualifications across a wide range of industries. Course Curriculum Differences Concerning HR Between a small Company and a Corporation Welcome Back to Part 3 Department Structure Recruitment and Selection Compensation and Benefits Training and Employee Development Personnel Management Performance Evaluation Employee Motivation Work Legislation Relationship and Communication with Employees Challenges You May Face in the HR Department Recruitment and Selection Compensation and Benefits Employee Training and Development Communication with Employees Communication with Other Departments Communicating with Senior Managers with Decision-Making Power Communication with State Institutions Personnel Management Performance Evaluation Employee Motivation Work Legislation Reporting How to Get a Job in the Human Resources Department With No Experience Unpaid or Paid Internship Courses in the Field of Human Resources A Junior Position in a Large Company Sending an Unsolicited CV A Linkedin Network With Hr Specialists Ask Your Friends Who Already Have a Job to Refer You to the Hr Department Volunteer in a Recruitment Agency Discussions With School Teachers /professors Online Application for a Freelancer Position Participation in Job Fairs Participation in Online Job Fairs Thank You. You Did a Great Job Who should take this course? This comprehensive human resources (structure, function and career) course is suitable for anyone looking to improve their job prospects or aspiring to accelerate their career in this sector and want to gain in-depth knowledge of HR management or human resources management Entry Requirements There are no academic entry requirements for this human resources (structure, function and career) course, and it is open to students of all academic backgrounds. As long as you are aged seventeen or over and have a basic grasp of English, numeracy and ICT, you will be eligible to enrol. Assessment Method On successful completion of the course, you will be required to sit an online multiple-choice assessment. The assessment will be evaluated automatically and the results will be given to you immediately. Certification Endorsed Certificate from Quality Licence Scheme After successfully passing the MCQ exam you will be eligible to order the Endorsed Certificate by Quality Licence Scheme. The Quality Licence Scheme is a brand of the Skills and Education Group, a leading national awarding organisation for providing high-quality vocational qualifications across a wide range of industries. It will give you a competitive advantage in your career, making you stand out from all other applicants and employees. There is a Quality Licence Scheme endorsement fee to obtain an endorsed certificate which is £65. Certificate of Achievement from Lead Academy After successfully passing the MCQ exam you will be eligible to order your certificate of achievement as proof of your new skill. The certificate of achievement is an official credential that confirms that you successfully finished a course with Lead Academy. Certificate can be obtained in PDF version at a cost of £12, and there is an additional fee to obtain a printed copy certificate which is £35. FAQs Is CPD a recognised qualification in the UK? CPD is globally recognised by employers, professional organisations and academic intuitions, thus a certificate from CPD Certification Service creates value towards your professional goal and achievement. CPD-certified certificates are accepted by thousands of professional bodies and government regulators here in the UK and around the world. Are QLS courses recognised? Although QLS courses are not subject to Ofqual regulation, they must adhere to an extremely high level that is set and regulated independently across the globe. A course that has been approved by the Quality Licence Scheme simply indicates that it has been examined and evaluated in terms of quality and fulfils the predetermined quality standards. When will I receive my certificate? For CPD accredited PDF certificate it will take 24 hours, however for the hardcopy CPD certificate takes 5-7 business days and for the Quality License Scheme certificate it will take 7-9 business days. Can I pay by invoice? Yes, you can pay via Invoice or Purchase Order, please contact us at info@lead-academy.org for invoice payment. Can I pay via instalment? Yes, you can pay via instalments at checkout. How to take online classes from home? Our platform provides easy and comfortable access for all learners; all you need is a stable internet connection and a device such as a laptop, desktop PC, tablet, or mobile phone. The learning site is accessible 24/7, allowing you to take the course at your own pace while relaxing in the privacy of your home or workplace. Does age matter in online learning? No, there is no age limit for online learning. Online learning is accessible to people of all ages and requires no age-specific criteria to pursue a course of interest. As opposed to degrees pursued at university, online courses are designed to break the barriers of age limitation that aim to limit the learner's ability to learn new things, diversify their skills, and expand their horizons. When I will get the login details for my course? After successfully purchasing the course, you will receive an email within 24 hours with the login details of your course. Kindly check your inbox, junk or spam folder, or you can contact our client success team via info@lead-academy.org

Overview With our intensive Diploma in Business Administration course, you can improve your professional skills. We create complete leaders with strong financial assessment, operational flexibility, and smooth communication by going beyond software expertise.Learn the fundamentals of handling money, creating budgets, writing reports, making presentations, and acting wisely. This investment advances your professional growth by expanding your skill set and opening up possibilities for opportunity.Join us now in exploring your abilities as a leader. Key Features of the Course: FREE Diploma in Business Administration CPD-accredited certificate Get a free student ID card with Diploma in Business Administration training (£10 applicable for international delivery) Lifetime access to the Diploma in Business Administration course materials The Diploma in Business Administration program comes with 24/7 tutor support Get instant access to this Diploma in Business Administration course Learn Diploma in Business Administration training from anywhere in the world The Diploma in Business Administration training is affordable and simple to understand The Diploma in Business Administration training is an entirely online How will I get my certificate? Upon successful completion of the Diploma in Business Administration course, obtaining your certificate is a straightforward process. Here's how it works: Course Completion: Once you've successfully finished the course, you'll be eligible to receive your certificate. Order Your Certificate: You can conveniently order your certificate directly through our platform. Who is this course for? Anyone, anywhere, can jumpstart their business journey with the Diploma in Business Administration! No experience? No problem! This open-door program welcomes all, from any background, to dive into the exciting world of business. Requirements Our Diploma in Business Administration course is designed for maximum flexibility and accessibility: It is optimised for use on PCs, Macs, laptops, tablets, and smartphones. Study easily on your tablet or smartphone, accessible with any Wi-Fi connection. No time limit for completion; study at your own pace and on your own schedule. Basic English proficiency is required to ensure effective learning. This course structure allows for a convenient and adaptable learning experience. Career path Having these various qualifications will increase the value of your CV and open you up to multiple sectors, such as: Marketing Assistant: £20-30k HR Assistant: £22-32k Sales Representative: £25-40k Customer Service Advisor: £20-28k Administrative Assistant: £18-25k Remember: Salary ranges vary (based on experience, location, and company). Advance with further qualifications! Course Curriculum 10 sections • 91 lectures •What is Business Administration? •Business and Organisations •Management of Business •Business Organization Perspectives •Decision Making •Approaches to Leadership •Communication Basics •Know Thyself and The Message •Learn To Use Terms of Business Communication That Invoke Emotions •Pay Attention To Body Language •Learn To Use Terms That Spark Interest •The Benefits Of Presenting Your Message In 1 Minute •Financing Basics •Record Your Income •Make a List of Expenses First and Put Them in Categories •Countdown & Adjust •Review Regularly •Module One - Getting Started •Module Two - Human Resources Today •Module Three - Recruiting and Interviewing •Module Four - Retention and Orientation •Module Five - Following Up With New Employees •Module Six - Workplace Health & Safety •Module Seven - Workplace Bullying, Harassment, and Violence •Module Eight - Workplace Wellness •Module Nine - Providing Feedback to Employees •Module Ten - Disciplining Employees •Module Eleven - Terminating Employees •Module Twelve - Wrapping Up •Activites-Diploma in Human Resource Management •Module One - Getting Started •Module Two - Working with Words •Module Three - Constructing Sentences 2017 •Module Four - Creating Paragraphs •Module Five - Writing Meeting Agendas •Module Six - Writing E-mails •Module Seven - Writing Business Letters •Module Eight - Writing Proposals •Module Nine - Writing Reports •Module Ten - Other Types of Documents •Module Eleven - Proofreading and Finishing •Module Twelve - Wrapping Up •Module One - Getting Started •Module Two - Opening •Module Three - Working with the Interface •Module Four - Your First Document •Module Five - Basic Editing Task •Module Six - Basic Formatting Tasks •Module Seven - Formatting Paragraphs •Module Eight - Advanced Formatting Tasks •Module Nine - Working with Styles •Module Ten - Formatting the Page •Module Eleven - Sharing Your Document •Module Twelve - Wrapping Up •Module One - Getting Started •Module Two - Opening PowerPoint •Module Three - Working with the Interface •Module Four - Your First Presentation •Module Five - Working with Text •Module Six - Formatting Text and Paragraphs •Module Seven - Adding Pictures •Module Eight - Advanced Formatting Tasks •Module Nine - Working with Transitions and Animations •Module Ten - Setting Up Your Slide Show •Module Eleven - Showtime! •Module Twelve - Wrapping Up •Module One - Getting Started •Module Two - Opening Excel •Module Three - Working with the Interface •Module Four - Your First Worksheet •Module Five - Viewing Excel Data •Module Six - Building Formulas •Module Seven - Using Excel Functions •Module Eight - Using Quick Analysis •Module Nine - Formatting Your Data •Module Ten - Using Styles, Themes, and Effects •Module Eleven - Printing and Sharing Your Workbook •Module Twelve - Wrapping Up •Module One - Getting Started •Module Two - Opening and Closing Access •Module Three - An Introduction to Databases •Module Four - Sharing Data Using Apps •Module Five - Working in Your App •Module Six - An Introduction to Desktop Databases •Module Seven - Performing Basic Table Tasks •Module Eight - Working with Fields •Module Nine - Working with Table Relationships •Module Ten - An Introduction to Queries, Forms, and Reports •Module Eleven - Protecting Your Data •Module Twelve - Wrapping Up •Assignment - Diploma in Business Administration

The 'Complete Python Machine Learning & Data Science Fundamentals' course covers the foundational concepts of machine learning, data science, and Python programming. It includes hands-on exercises, data visualization, algorithm evaluation techniques, feature selection, and performance improvement using ensembles and parameter tuning. Learning Outcomes: Understand the fundamental concepts and types of machine learning, data science, and Python programming. Learn to prepare the system and environment for data analysis and machine learning tasks. Master the basics of Python, NumPy, Matplotlib, and Pandas for data manipulation and visualization. Gain insights into dataset summary statistics, data visualization techniques, and data preprocessing. Explore feature selection methods and evaluation metrics for classification and regression algorithms. Compare and select the best machine learning model using pipelines and ensembles. Learn to export, save, load machine learning models, and finalize the chosen models for real-time predictions. Why buy this Complete Python Machine Learning & Data Science Fundamentals? Unlimited access to the course for forever Digital Certificate, Transcript, student ID all included in the price Absolutely no hidden fees Directly receive CPD accredited qualifications after course completion Receive one to one assistance on every weekday from professionals Immediately receive the PDF certificate after passing Receive the original copies of your certificate and transcript on the next working day Easily learn the skills and knowledge from the comfort of your home Certification After studying the course materials of the Complete Python Machine Learning & Data Science Fundamentals there will be a written assignment test which you can take either during or at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £5.99. Original Hard Copy certificates need to be ordered at an additional cost of £9.60. Who is this course for? This Complete Python Machine Learning & Data Science Fundamentals course is ideal for Students Recent graduates Job Seekers Anyone interested in this topic People already working in the relevant fields and want to polish their knowledge and skill. Prerequisites This Complete Python Machine Learning & Data Science Fundamentals does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Complete Python Machine Learning & Data Science Fundamentals 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. Career path As this course comes with multiple courses included as bonus, you will be able to pursue multiple occupations. This Complete Python Machine Learning & Data Science Fundamentals is a great way for you to gain multiple skills from the comfort of your home. Course Curriculum Course Overview & Table of Contents Course Overview & Table of Contents 00:09:00 Introduction to Machine Learning - Part 1 - Concepts , Definitions and Types Introduction to Machine Learning - Part 1 - Concepts , Definitions and Types 00:05:00 Introduction to Machine Learning - Part 2 - Classifications and Applications Introduction to Machine Learning - Part 2 - Classifications and Applications 00:06:00 System and Environment preparation - Part 1 System and Environment preparation - Part 1 00:08:00 System and Environment preparation - Part 2 System and Environment preparation - Part 2 00:06:00 Learn Basics of python - Assignment Learn Basics of python - Assignment 1 00:10:00 Learn Basics of python - Assignment Learn Basics of python - Assignment 2 00:09:00 Learn Basics of python - Functions Learn Basics of python - Functions 00:04:00 Learn Basics of python - Data Structures Learn Basics of python - Data Structures 00:12:00 Learn Basics of NumPy - NumPy Array Learn Basics of NumPy - NumPy Array 00:06:00 Learn Basics of NumPy - NumPy Data Learn Basics of NumPy - NumPy Data 00:08:00 Learn Basics of NumPy - NumPy Arithmetic Learn Basics of NumPy - NumPy Arithmetic 00:04:00 Learn Basics of Matplotlib Learn Basics of Matplotlib 00:07:00 Learn Basics of Pandas - Part 1 Learn Basics of Pandas - Part 1 00:06:00 Learn Basics of Pandas - Part 2 Learn Basics of Pandas - Part 2 00:07:00 Understanding the CSV data file Understanding the CSV data file 00:09:00 Load and Read CSV data file using Python Standard Library Understanding the CSV data file 00:09:00 Load and Read CSV data file using NumPy Load and Read CSV data file using Python Standard Library 00:09:00 Load and Read CSV data file using Pandas Load and Read CSV data file using Pandas 00:05:00 Dataset Summary - Peek, Dimensions and Data Types Dataset Summary - Peek, Dimensions and Data Types 00:09:00 Dataset Summary - Class Distribution and Data Summary Dataset Summary - Class Distribution and Data Summary 00:09:00 Dataset Summary - Explaining Correlation Dataset Summary - Explaining Correlation 00:11:00 Dataset Summary - Explaining Skewness - Gaussian and Normal Curve Dataset Summary - Explaining Skewness - Gaussian and Normal Curve 00:07:00 Dataset Visualization - Using Histograms Dataset Visualization - Using Histograms 00:07:00 Dataset Visualization - Using Density Plots Dataset Visualization - Using Density Plots 00:06:00 Dataset Visualization - Box and Whisker Plots Dataset Visualization - Box and Whisker Plots 00:05:00 Multivariate Dataset Visualization - Correlation Plots Multivariate Dataset Visualization - Correlation Plots 00:08:00 Multivariate Dataset Visualization - Scatter Plots Multivariate Dataset Visualization - Scatter Plots 00:05:00 Data Preparation (Pre-Processing) - Introduction Data Preparation (Pre-Processing) - Introduction 00:09:00 Data Preparation - Re-scaling Data - Part 1 Data Preparation - Re-scaling Data - Part 1 00:09:00 Data Preparation - Re-scaling Data - Part 2 Data Preparation - Re-scaling Data - Part 2 00:09:00 Data Preparation - Standardizing Data - Part 1 Data Preparation - Standardizing Data - Part 1 00:07:00 Data Preparation - Standardizing Data - Part 2 Data Preparation - Standardizing Data - Part 2 00:04:00 Data Preparation - Normalizing Data Data Preparation - Normalizing Data 00:08:00 Data Preparation - Binarizing Data Data Preparation - Binarizing Data 00:06:00 Feature Selection - Introduction Feature Selection - Introduction 00:07:00 Feature Selection - Uni-variate Part 1 - Chi-Squared Test Feature Selection - Uni-variate Part 1 - Chi-Squared Test 00:09:00 Feature Selection - Uni-variate Part 2 - Chi-Squared Test Feature Selection - Uni-variate Part 2 - Chi-Squared Test 00:10:00 Feature Selection - Recursive Feature Elimination Feature Selection - Recursive Feature Elimination 00:11:00 Feature Selection - Principal Component Analysis (PCA) Feature Selection - Principal Component Analysis (PCA) 00:09:00 Feature Selection - Feature Importance Feature Selection - Feature Importance 00:07:00 Refresher Session - The Mechanism of Re-sampling, Training and Testing Refresher Session - The Mechanism of Re-sampling, Training and Testing 00:12:00 Algorithm Evaluation Techniques - Introduction Algorithm Evaluation Techniques - Introduction 00:07:00 Algorithm Evaluation Techniques - Train and Test Set Algorithm Evaluation Techniques - Train and Test Set 00:11:00 Algorithm Evaluation Techniques - K-Fold Cross Validation Algorithm Evaluation Techniques - K-Fold Cross Validation 00:09:00 Algorithm Evaluation Techniques - Leave One Out Cross Validation Algorithm Evaluation Techniques - Leave One Out Cross Validation 00:05:00 Algorithm Evaluation Techniques - Repeated Random Test-Train Splits Algorithm Evaluation Techniques - Repeated Random Test-Train Splits 00:07:00 Algorithm Evaluation Metrics - Introduction Algorithm Evaluation Metrics - Introduction 00:09:00 Algorithm Evaluation Metrics - Classification Accuracy Algorithm Evaluation Metrics - Classification Accuracy 00:08:00 Algorithm Evaluation Metrics - Log Loss Algorithm Evaluation Metrics - Log Loss 00:03:00 Algorithm Evaluation Metrics - Area Under ROC Curve Algorithm Evaluation Metrics - Area Under ROC Curve 00:06:00 Algorithm Evaluation Metrics - Confusion Matrix Algorithm Evaluation Metrics - Confusion Matrix 00:10:00 Algorithm Evaluation Metrics - Classification Report Algorithm Evaluation Metrics - Classification Report 00:04:00 Algorithm Evaluation Metrics - Mean Absolute Error - Dataset Introduction Algorithm Evaluation Metrics - Mean Absolute Error - Dataset Introduction 00:06:00 Algorithm Evaluation Metrics - Mean Absolute Error Algorithm Evaluation Metrics - Mean Absolute Error 00:07:00 Algorithm Evaluation Metrics - Mean Square Error Algorithm Evaluation Metrics - Mean Square Error 00:03:00 Algorithm Evaluation Metrics - R Squared Algorithm Evaluation Metrics - R Squared 00:04:00 Classification Algorithm Spot Check - Logistic Regression Classification Algorithm Spot Check - Logistic Regression 00:12:00 Classification Algorithm Spot Check - Linear Discriminant Analysis Classification Algorithm Spot Check - Linear Discriminant Analysis 00:04:00 Classification Algorithm Spot Check - K-Nearest Neighbors Classification Algorithm Spot Check - K-Nearest Neighbors 00:05:00 Classification Algorithm Spot Check - Naive Bayes Classification Algorithm Spot Check - Naive Bayes 00:04:00 Classification Algorithm Spot Check - CART Classification Algorithm Spot Check - CART 00:04:00 Classification Algorithm Spot Check - Support Vector Machines Classification Algorithm Spot Check - Support Vector Machines 00:05:00 Regression Algorithm Spot Check - Linear Regression Regression Algorithm Spot Check - Linear Regression 00:08:00 Regression Algorithm Spot Check - Ridge Regression Regression Algorithm Spot Check - Ridge Regression 00:03:00 Regression Algorithm Spot Check - Lasso Linear Regression Regression Algorithm Spot Check - Lasso Linear Regression 00:03:00 Regression Algorithm Spot Check - Elastic Net Regression Regression Algorithm Spot Check - Elastic Net Regression 00:02:00 Regression Algorithm Spot Check - K-Nearest Neighbors Regression Algorithm Spot Check - K-Nearest Neighbors 00:06:00 Regression Algorithm Spot Check - CART Regression Algorithm Spot Check - CART 00:04:00 Regression Algorithm Spot Check - Support Vector Machines (SVM) Regression Algorithm Spot Check - Support Vector Machines (SVM) 00:04:00 Compare Algorithms - Part 1 : Choosing the best Machine Learning Model Compare Algorithms - Part 1 : Choosing the best Machine Learning Model 00:09:00 Compare Algorithms - Part 2 : Choosing the best Machine Learning Model Compare Algorithms - Part 2 : Choosing the best Machine Learning Model 00:05:00 Pipelines : Data Preparation and Data Modelling Pipelines : Data Preparation and Data Modelling 00:11:00 Pipelines : Feature Selection and Data Modelling Pipelines : Feature Selection and Data Modelling 00:10:00 Performance Improvement: Ensembles - Voting Performance Improvement: Ensembles - Voting 00:07:00 Performance Improvement: Ensembles - Bagging Performance Improvement: Ensembles - Bagging 00:08:00 Performance Improvement: Ensembles - Boosting Performance Improvement: Ensembles - Boosting 00:05:00 Performance Improvement: Parameter Tuning using Grid Search Performance Improvement: Parameter Tuning using Grid Search 00:08:00 Performance Improvement: Parameter Tuning using Random Search Performance Improvement: Parameter Tuning using Random Search 00:06:00 Export, Save and Load Machine Learning Models : Pickle Export, Save and Load Machine Learning Models : Pickle 00:10:00 Export, Save and Load Machine Learning Models : Joblib Export, Save and Load Machine Learning Models : Joblib 00:06:00 Finalizing a Model - Introduction and Steps Finalizing a Model - Introduction and Steps 00:07:00 Finalizing a Classification Model - The Pima Indian Diabetes Dataset Finalizing a Classification Model - The Pima Indian Diabetes Dataset 00:07:00 Quick Session: Imbalanced Data Set - Issue Overview and Steps Quick Session: Imbalanced Data Set - Issue Overview and Steps 00:09:00 Iris Dataset : Finalizing Multi-Class Dataset Iris Dataset : Finalizing Multi-Class Dataset 00:09:00 Finalizing a Regression Model - The Boston Housing Price Dataset Finalizing a Regression Model - The Boston Housing Price Dataset 00:08:00 Real-time Predictions: Using the Pima Indian Diabetes Classification Model Real-time Predictions: Using the Pima Indian Diabetes Classification Model 00:07:00 Real-time Predictions: Using Iris Flowers Multi-Class Classification Dataset Real-time Predictions: Using Iris Flowers Multi-Class Classification Dataset 00:03:00 Real-time Predictions: Using the Boston Housing Regression Model Real-time Predictions: Using the Boston Housing Regression Model 00:08:00 Resources Resources - Python Machine Learning & Data Science Fundamentals 00:00:00

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Cash Flow Problems Remedies for Cash Flow Problems Credit Management Module 11: Managing Risk & Recovery Introduction Planning Identifying Risks Creating Risk Categories Identifying the Project Risks Investigating the Results of Risk Identification Module 12: Quality Management Introduction Quality Policy Determination Benefit/Cost Analysis Preparing for Quality Control Quality Assurance Applying Module 13: Communication Skills Effective Listening Skills Verbal Communication Non-Verbal Communication Communication Strategies Module 14: Business Environment Importance Types of Business Environment Social Responsibility of a Business Ethics Module 15: Organisational Skills Organising Daily Work Organising Workplace Organising Resources Organising Tools Cultivating Organisational Habits Module 16: Negotiation Techniques Basic Types of Negotiations Phases of Negotiation Negotiation Techniques Strategies for Identifying Mutual Gain Effective Negotiation Practise Negotiation on Behalf of Others Module 17: Human Resource Management HRM Models of HRM The Role of the HR Department Aims of HRM HRM & personnel management Module 18: Motivation & Counselling The process of motivation Types of motivation Motivation theory Motivation strategies Module 19: Customer Service Introduction The Power of Positive Thinking in Customer Service Types of Difficult Customers & How to Help them How to Deal with Difficult Customers Aspects of Phone Etiquette Using Proper Phone Language Eliminate Phone Distractions Inbound Calls Outbound Calls Handling Rude or Angry Callers Module 20: Time Management Activities Planning & Prioritising Overcoming Procrastination Crisis Handling Organising Workspace to Make Better Use of Time Planning of Meetings Module 21: Conflict Management Definition of Conflict Benefits of Confrontation Prevention of Conflicts Anger Management Conflict Resolution Techniques CPD 10 CPD hours / points Accredited by CPD Quality Standards Who is this course for? 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Duration 1 Days 6 CPD hours This course is intended for This course is intended for: Data platform engineers Architects and operators who build and manage data analytics pipelines Overview In this course, you will learn to: Compare the features and benefits of data warehouses, data lakes, and modern data architectures Design and implement a batch data analytics solution Identify and apply appropriate techniques, including compression, to optimize data storage Select and deploy appropriate options to ingest, transform, and store data Choose the appropriate instance and node types, clusters, auto scaling, and network topology for a particular business use case Understand how data storage and processing affect the analysis and visualization mechanisms needed to gain actionable business insights Secure data at rest and in transit Monitor analytics workloads to identify and remediate problems Apply cost management best practices In this course, you will learn to build batch data analytics solutions using Amazon EMR, an enterprise-grade Apache Spark and Apache Hadoop managed service. You will learn how Amazon EMR integrates with open-source projects such as Apache Hive, Hue, and HBase, and with AWS services such as AWS Glue and AWS Lake Formation. The course addresses data collection, ingestion, cataloging, storage, and processing components in the context of Spark and Hadoop. You will learn to use EMR Notebooks to support both analytics and machine learning workloads. You will also learn to apply security, performance, and cost management best practices to the operation of Amazon EMR. Module A: Overview of Data Analytics and the Data Pipeline Data analytics use cases Using the data pipeline for analytics Module 1: Introduction to Amazon EMR Using Amazon EMR in analytics solutions Amazon EMR cluster architecture Interactive Demo 1: Launching an Amazon EMR cluster Cost management strategies Module 2: Data Analytics Pipeline Using Amazon EMR: Ingestion and Storage Storage optimization with Amazon EMR Data ingestion techniques Module 3: High-Performance Batch Data Analytics Using Apache Spark on Amazon EMR Apache Spark on Amazon EMR use cases Why Apache Spark on Amazon EMR Spark concepts Interactive Demo 2: Connect to an EMR cluster and perform Scala commands using the Spark shell Transformation, processing, and analytics Using notebooks with Amazon EMR Practice Lab 1: Low-latency data analytics using Apache Spark on Amazon EMR Module 4: Processing and Analyzing Batch Data with Amazon EMR and Apache Hive Using Amazon EMR with Hive to process batch data Transformation, processing, and analytics Practice Lab 2: Batch data processing using Amazon EMR with Hive Introduction to Apache HBase on Amazon EMR Module 5: Serverless Data Processing Serverless data processing, transformation, and analytics Using AWS Glue with Amazon EMR workloads Practice Lab 3: Orchestrate data processing in Spark using AWS Step Functions Module 6: Security and Monitoring of Amazon EMR Clusters Securing EMR clusters Interactive Demo 3: Client-side encryption with EMRFS Monitoring and troubleshooting Amazon EMR clusters Demo: Reviewing Apache Spark cluster history Module 7: Designing Batch Data Analytics Solutions Batch data analytics use cases Activity: Designing a batch data analytics workflow Module B: Developing Modern Data Architectures on AWS Modern data architectures

Duration 2 Days 12 CPD hours This course is intended for This course is designed for security administrators and Check Point resellers who need to manage and monitor issues that may occur within their Security Management environment. Overview Understand how to use Check Point resources for support. Understand how to perform packet captures using tcmdump and FW Monitor command tools. Understand the basic process of kernel debugging, and how debug commands are structured. Recognize how to use various Linux commands for troubleshooting system issues. Recognize communication issues that may occur between SmartConsole and the SMS and how to resolve them. Understand how to troubleshoot SmartConsole login and authentication issues. Understand how to prevent and resolve licensing and contract issues. Understand how to troubleshoot issues that may occur during policy installation. Understand communication issues that may occur when collecting logs and how to resolve them. Recall various tools to use when analyzing issues with logs. Understand how to restore interrupted communications during heavy logging. Understand how NAT works and how to troubleshoot issues. Understand Client Side and Server Side NAT. Understand how the Access Control Policy functions and how the access control applications work together. Understand how to troubleshoot issues that may occur with Application Control and URL Filtering. Understand how the HTTPS Inspection process works and how to resolve issues that may occur during the process. Understand how to troubleshoot Content Awareness issues. Recognize how to troubleshoot VPN-related issues. Understand how to monitor cluster status and work with critical devices. Recognize how to troubleshoot State Synchronization. Understand how to troubleshoot communication issues between Identity Sources and Security Gateways. Understand how to troubleshoot and debug issues with internal Identity Awareness processes. The goal of this course is to provide an understanding of the concepts and skills necessary to troubleshoot issues which may occur when managing the Check Point Security Management architecture and Security Gateways. Course Outline An Introduction to Troubleshooting SmartConsole and Policy Management Troubleshooting Monitoring Logging Activity Troubleshooting Issues with NAT Understanding the Unified Access Control Policy Basic VPN Troubleshooting Monitoring ClusterXL Connections Understanding Identity Awareness Additional course details: Nexus Humans CCTA Check Point Troubleshooting Administration training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the CCTA Check Point Troubleshooting Administration course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.