Course Overview Microsoft Excel has brought a revolutionary change in the field of data management. It is one of the key skills that every employer looks for in a potential employee. The 50 MS Excel Tips to Upgrade your Excel Skill to the Next Level course is designed to equip you with adequate expertise in Excel. This course is a golden opportunity to add a highly beneficial skill to your resume and impress your employers. In this 50 MS Excel Tips to Upgrade your Excel Skill to the Next Level course, you will receive a wide range of valuable tips to elevate your MS Excel skills. The course will show you the process of adding a link in the formula bar and adding multiple columns and rows within a blink. You will become skilled in quick calculations in the status bar. From the informative modules, you will identify the shortcut keys and learn to navigate between worksheets. The lessons will introduce you to the method of ZIP code format. You will understand how to move cell directions and convert numbers to text. This 50 MS Excel Tips to Upgrade your Excel Skill to the Next Level course is packed with valuable information about MS Excel. So enroll in the course and become a proficient MS Excel user. Learning Outcomes Learn how to navigate between worksheets using shortcut keys Understand the process of creating a custom autofill list and importing data from webpages Build the skills to hide workbook elements Enrich your understanding of advanced transpose Grasp the techniques of moving cell directions and deleting data Know how to convert text to numbers Who is this course for? This 50 MS Excel Tips to Upgrade your Excel Skill to the Next Level course is for those who want to improve their Excel skills. Entry Requirement This course is available to all learners, of all academic backgrounds. Learners should be aged 16 or over to undertake the qualification. Good understanding of English language, numeracy and ICT are required to attend this course. Certification After you have successfully completed the course, you will be able to obtain an Accredited Certificate of Achievement. You can however also obtain a Course Completion Certificate following the course completion without sitting for the test. Certificates can be obtained either in hardcopy at the cost of £39 or in PDF format at the cost of £24. PDF certificate's turnaround time is 24 hours, and for the hardcopy certificate, it is 3-9 working days. Why choose us? Affordable, engaging & high-quality e-learning study materials; Tutorial videos/materials from the industry-leading experts; Study in a user-friendly, advanced online learning platform; Efficient exam systems for the assessment and instant result; The UK & internationally recognized accredited qualification; Access to course content on mobile, tablet or desktop from anywhere anytime; The benefit of career advancement opportunities; 24/7 student support via email. Career Path The 50 MS Excel Tips to Upgrade your Excel Skill to next Level course is a useful qualification to possess and would be beneficial for any related profession or industry such as: Administrative Assistant Data Analyst Accountants Financial Analyst Retail Store Manager Project Manager Business Analyst Unit 01: Introduction Welcome 00:02:00 Unit 02: Excel Productivity Tips -Part 1 Camera Tool 00:05:00 Add Line Break in Formula Bar 00:03:00 Advanced Copy-Paste using Office Clipboard 00:03:00 Navigation between Worksheets using Shortcut Keys 00:01:00 Flash Fill 00:02:00 Add Multiple Rows and Columns Quickly 00:02:00 Delete Blank Rows 00:03:00 Multi Level Row and Column Sorting 00:04:00 Add Sparklines 00:03:00 Paste Special - Transpose 00:03:00 Unit 03: Excel Productivity Tips - Part 2 Snap to Grid 00:03:00 Create Custom Auto fill List 00:06:00 Absolute Cell Reference 00:03:00 Import Data from Web page 00:04:00 Move Cell Direction 00:03:00 Delete Data using Mouse 00:02:00 Status Bar Quick Calculations 00:03:00 Link Text Boxes to Cell 00:04:00 Phone Number and ZIP Code Format 00:04:00 Speaking Cell 00:05:00 Unit 04: Excel Productivity Tips - Part 3 Invisible Text 00:03:00 Worksheet Grouping 00:04:00 Advanced Transpose 00:04:00 XLStart Folder 00:03:00 Use Slicers 00:05:00 Convert Text to Numbers 00:03:00 Hiding Workbook Elements 00:02:00 Useful Shortcut Keys 00:03:00 Sort data from Left to Right 00:03:00 Advanced Filter (Complex) 00:11:00 Unit 05: Excel Productivity Tips - Part 4 Email as PDF 00:02:00 Synchronous Scrolling 00:03:00 Quick Analysis of data within Excel 00:02:00 Fill blank cells with Value 00:03:00 Hidden Chart Source Data 00:03:00 Two more Shortcuts 00:03:00 Add Blank Rows 00:03:00 Custom views in Excel 00:06:00 EMBED Feature 00:04:00 Adding Country code in Mobile Numbers 00:04:00 Unit 05: Excel Productivity Tips - Part 5 Plot an Average Line to a Chart 00:04:00 3D Referencing 00:04:00 Extract Unique Values 00:03:00 Excel Array Formula 00:04:00 Forecast Sheet 00:04:00 Add Spin Controls in Excel 00:05:00 Move Data using Mouse 00:01:00 Add new entry in Auto Correct to use across Office Applications 00:05:00 Find Differences between Two Lists 00:02:00 Find formulas Quickly 00:02:00 Unit: 06 Wrap Up Thank You 00:01:00 Certificate and Transcript Order Your Certificates and Transcripts 00:00:00
Description: This diploma in C++ and Python programming course is a great way to get started in programming. It covers the study of the C++ and Python group of languages used to build most of the world's object oriented systems. The course is for interested students with a good level of computer literacy who wish to acquire programming skills. It is also ideal for those who wish to move to a developer role or areas such as software engineering. This is a great course to develop your coding skills. It teaches key features of imperative programming using C and is an ideal preliminary to the Object-Oriented Programming using Python. Join the course now! Entry Requirement This course is available to all learners, of all academic backgrounds. Learners should be aged 16 or over to undertake the qualification. Good understanding of English language, numeracy and ICT are required to attend this course. Assessment: At the end of the course, you will be required to sit an online multiple-choice test. Your test will be assessed automatically and immediately so that you will instantly know whether you have been successful. Before sitting for your final exam you will have the opportunity to test your proficiency with a mock exam. Certification: After completing and passing the course successfully, you will be able to obtain an Accredited Certificate of Achievement. Certificates can be obtained either in hard copy at a cost of £39 or in PDF format at a cost of £24. Why choose us? Affordable, engaging & high-quality e-learning study materials; Tutorial videos/materials from the industry leading experts; Study in a user-friendly, advanced online learning platform; Efficient exam systems for the assessment and instant result; The UK & internationally recognized accredited qualification; Access to course content on mobile, tablet or desktop from anywhere anytime; The benefit of career advancement opportunities; 24/7 student support via email. Career Path After completing this course you will be able to build up accurate knowledge and skills with proper confidence to enrich yourself and brighten up your career in the relevant job market. Python 3 Beginners Module 01 Introduction FREE 00:29:00 Starter Examples 00:33:00 Learning C Concepts 00:13:00 Module 02 Data Types and Inference 00:20:00 Sizeof and IEEE 754 00:33:00 Constants L and R Values 00:11:00 Operators and Precedence 00:25:00 Literals 00:26:00 Module 03 Classes and Structs FREE 00:22:00 Enums 00:14:00 Unions 00:16:00 Introduction to Pointers 00:11:00 Pointers and Array Indexing 00:12:00 Using Const with Pointers 00:09:00 Pointers to String Literals 00:12:00 References 00:14:00 Smart Pointers 00:22:00 Arrays 00:15:00 Standard Library Strings 00:13:00 More Standard Library Strings 00:18:00 Functions 00:06:00 More Functions 00:16:00 Function Pointers 00:15:00 Control Statements 00:18:00 Python 3 Intermediate Module 04 Installing Python FREE 00:17:00 Documentation 00:30:00 Command Line 00:17:00 Variables 00:29:00 Simple Python Syntax 00:15:00 Keywords 00:18:00 Import Module 00:17:00 Additional Topics 00:23:00 Module 05 If Elif Else 00:31:00 Iterable 00:10:00 For 00:11:00 Loops 00:20:00 Execute 00:05:00 Exceptions 00:18:00 Data Types 00:24:00 Module 06 Number Types 00:28:00 More Number Types 00:13:00 Strings 00:20:00 More Strings 00:11:00 Files 00:08:00 Lists 00:15:00 Dictionaries 00:04:00 Tuples 00:07:00 Sets 00:09:00 Module 07 Comprehensions 00:10:00 Definitions 00:02:00 Functions 00:06:00 Default Arguments 00:06:00 Doc Strings 00:06:00 Variadic Functions 00:07:00 Factorial 00:07:00 Function Objects 00:07:00 Module 08 Lambda 00:11:00 Generators 00:06:00 Closures 00:10:00 Classes 00:09:00 Object Initialization 00:05:00 Class Static Members 00:07:00 Classic Inheritance 00:10:00 Data Hiding 00:07:00 Python 3 Advanced Iterators and Generators FREE 00:16:00 Regular Expressions 00:19:00 Introspection and Lambda Functions 00:27:00 Metaclasses and Decorators 00:24:00 Modules and Packages 00:25:00 Working with APIs 00:15:00 Metaprogramming Primer 00:19:00 Decorators and Monkey Patching 00:21:00 XML and JSON Structure 00:10:00 Generating XML and JSON 00:17:00 Parsing XML and JSON 00:19:00 Implementing Algorithms 00:19:00 Certificate and Transcript Order Your Certificates and Transcripts 00:00:00
Insightful leaders understand the importance of employee collaboration and a solid team ethos. Highly efficient and self-learning teams only achieve top performance when leaders and team members are aligned with regard to diversity, equity and inclusion. This is a highly interactive and tailored workshop with two tracks: Upper Management Track and Midde Management/Staff Track. Optimised for tailored audiences Built for groups of 20+ Led by experienced and certified professionals Specialised to address issues around inclusivity and equity in all industries Program Details For Upper Management Teams Module 1 – The Empowered Leader: 15 Characteristics Module 2 – Communication and Listening Skills Module 3 – Empowering and Respecting Employees Module 4 – (DEI) Principles for Full Cultural Inclusivity For Middle Management & Staff Teams Module 1 – Typical Struggles Module 2 – Support for Growth Module 3 – Get Inspired Module 4 – See What it Looks Like Investment Fee: £50,000 25 participants max per 12-week cohort TRAINING FORMAT : 16 - Week Cohorts Delivered in 1-hour sessions Virtually Facilitated Sessions Corporate DEI Program One Pager
Duration 3 Days 18 CPD hours This course is intended for This course benefits individuals responsible for configuring and monitoring devices running the Junos OS. Overview Describe the value of MPLS VPNs. Describe the differences between provider-provisioned VPNs and customer-provisioned VPNs. Describe the differences between Layer 2 VPNs and Layer 3 VPNs. List the provider-provisioned MPLS VPN features supported by the JUNOS software. Describe the roles of a CE device, PE router, and P router in a BGP Layer 3 VPN. Describe the format of the BGP routing information, including VPN-IPv4 addresses and route distinguishers. Describe the propagation of VPN routing information within an AS. List the BGP design constraints to enable Layer 3 VPNs within a provider network. Explain the operation of the Layer 3 VPN data plane within a provider network. Create a routing instance, assign interfaces to a routing instance, create routes in a routing instance, and import/export routes from a routing instance using route distinguishers/route targets. Describe the purpose of BGP extended communities, configure extended BGP extended communities, and use BGP extended communities. List the steps necessary for proper operation of a PE-CE dynamic routing protocol. List the troubleshooting and monitoring techniques for routing instances. Explain the difference between the bgp.l3vpn table and the inet.0 table of a routing instance. Monitor the operation of a CE-PE dynamic routing protocol. Explain the operation of a PE mulit-access interface in a Layer 3 VPN and list commands to modify that behavior. Describe ways to support communication between sites attached to a common PE router. Provision and troubleshoot hub-and-spoke Layer 3 VPNs, Describe the flow of control traffic and data traffic in a hub-and-spoke Layer 3 VPN. Describe QoS mechanisms available in L3VPNs. Configure L3VPN over GRE tunnels. Describe the RFC 4364 VPN options. Describe the carrier-of-carriers model. Configure the carrier-of-carriers and ''Option C'' configuration. Describe the flow of control and data traffic in a draft-rosen multicast VPN. Describe the configuration steps for establishing a draft-rosen multicast VPN. Monitor and verify the operation of draft-rosen multicast VPNs. Describe the flow of control traffic and data traffic in a next-generation multicast VPN. Describe the configuration steps for establishing a next-generation multicast VPN. Describe the configuration steps for establishing a next-generation multicast VPN. Monitor and verify the operation of next-generation multicast VPNs. This three-day course is designed to provide students with MPLS-based Layer 3 virtual private network (VPN) knowledge and configuration examples. Chapter 1: Course Introduction Course Introduction Chapter 2: MPLS VPNs MPLS VPNs Provider-Provisioned VPNs Chapter 3: Layer 3 VPNs Layer 3 VPN Terminology VPN-IPv4 Address Structure Operational Characteristics Chapter 4: Basic Layer 3 VPN Configuration Preliminary Steps PE Router Configuration Lab: Layer 3 VPN with Static and BGP Routing Chapter 5: Layer 3 VPN Scaling and Internet Access Scaling Layer 3 VPNs Public Internet Access Options Lab: LDP over RSVP Tunnels and Public Internet Access Chapter 6: Layer 3 VPNs ? Advanced Topics Exchanging Routes between Routing Instances Hub-and-Spoke Topologies Layer 3 VPN CoS Options Layer 3 VPN and GRE Tunneling Integration Layer 3 VPN and IPSec Integration Layer 3 VPN Egress Protection BGP prefix-independent convergence (PIC) edge for MPLS VPNs VRF Localization Provider Edge Link Protection Support for configuring more than 3 million L3VPN Labels Lab: GRE Tunneling Chapter 7: Interprovider Backbones for Layer 3 VPNs Hierarchical VPN Models Carrier-of-Carriers Model Option C Configuration Lab: Carrier of Carrier Layer 3 VPNs Chapter 8: Troubleshooting Layer 3 VPNs Working with Multiple Layers Troubleshooting Commands on a PE Device Multiaccess Interfaces in Layer 3 VPNs PE and CE-based Traceroutes Layer 3 VPN Monitoring Commands Lab: Troubleshooting Layer 3 VPNs Chapter 9: Draft Rosen Multicast VPNs Multicast Overview Draft Rosen MVPN Overvie Draft Rosen MVPN Operation Configuration Monitoring Chapter 10: Next Generation Multicast VPNs Multicast VPN Overview Next-Generation MVPN Operation Configuration Monitoring Internet Multicast Ingress Replication Internet Multicast Signaling and Data Plane Configuring MVPN Internet Multicast Monitoring MVPN Internet Multicast Lab: MVPN Internet Multicast
Duration 3 Days 18 CPD hours This course is intended for This course is intended for information workers and data science professionals who seek to use database reporting and analysis tools such as Microsoft SQL Server Reporting Services, Excel, Power BI, R, SAS and other business intelligence tools, and wish to use TSQL queries to efficiently retrieve data sets from Microsoft SQL Server relational databases for use with these tools. Overview Identify independent and dependent variables and measurement levels in their own analytical work scenarios. Identify variables of interest in relational database tables. Choose a data aggregation level and data set design appropriate for the intended analysis and tool. Use TSQL SELECT queries to produce ready-to-use data sets for analysis in tools such as PowerBI, SQL Server Reporting Services, Excel, R, SAS, SPSS, and others. Create stored procedures, views, and functions to modularize data retrieval code. This three-day instructor-led course is about writing TSQL queries for the purpose of database reporting, analysis, and business intelligence. Specifically, this course presents TSQL within the context of data analysis in other words, making meaning from the data rather than transaction-oriented data-tier application development. The course starts with a brief discussion of levels of measurement and quantitative research methodogy, and integrates these concepts into each TSQL topic presented. The goal is to provide a consistent, direct, and purposeful learning path from RDBMS data retrieval through analytical tools such as SQL Server Reporting Services, PowerBI, Excel, R, SAS, and SPSS. Module 1: Introduction to TSQL for Business Intelligence Two Approaches to SQL Programming TSQL Data Retrieval in an Analytics / Business Intelligence Environment The Database Engine SQL Server Management Studio and the CarDeal Sample Database Identifying Variables in Tables SQL is a Declarative Language Introduction to the SELECT Query Module 2: Turning Table Columns into Variables for Analysis: SELECT List Expressions, WHERE, and ORDER BY Turning Columns into Variables for Analysis Column Expressions, Data Types, and Built-in Functions Column aliases Data type conversions Built-in Scalar Functions Table Aliases The WHERE clause ORDER BY Module 3: Combining Columns from Multiple Tables into a Single Dataset: The JOIN Operators Primary Keys, Foreign Keys, and Joins Understanding Joins, Part 1: CROSSJOIN and the Full Cartesian Product Understanding Joins, Part 2: The INNERJOIN Understanding Joins, Part 3: The OUTERJOINS Understanding Joins, Part 4: Joining more than two tables Understanding Joins, Part 5: Combining INNER and OUTERJOINs Combining JOIN Operations with WHERE and ORDER BY Module 4: Creating an Appropriate Aggregation Level Using GROUP BY Identifying required aggregation level and granularity Aggregate Functions GROUP BY HAVING Order of operations in SELECT queries Module 5: Subqueries, Derived Tables and Common Table Expressions Non-correlated and correlated subqueries Derived tables Common table expressions Module 6: Encapsulating Data Retrieval Logic Views Table-valued functions Stored procedures Creating objects for read-access users Creating database accounts for analytical client tools Module 7: Getting Your Dataset to the Client Connecting to SQL Server and Submitting Queries from Client Tools Connecting and running SELECT queries from: Excel PowerBI RStudio Exporting datasets to files using Results pane from SSMS The bcp utility The Import/Export Wizard Additional course details: Nexus Humans Writing Analytical Queries for Business Intelligence 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 Writing Analytical Queries for Business Intelligence 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.
Why You Should Choose The 100 most common verbs in French Lifetime access to the course No hidden fees or exam charges CPD Qualification Standards certification on successful completion Full Tutor support on weekdays (Monday - Friday) Efficient exam system, assessment and instant results Download Printable PDF certificate immediately after completion Obtain the original print copy of your certificate, dispatch the next working day for as little as £9. Improve your chance of gaining professional skills and better earning potential. Who is this Course for? The 100 most common verbs in French is CPD Qualification Standards and IAO accredited. This makes it perfect for anyone trying to learn potential professional skills. As there is no experience and qualification required for this course, it is available for all students from any academic backgrounds. Requirements Our The 100 most common verbs in French is fully compatible with any kind of device. Whether you are using Windows computer, Mac, smartphones or tablets, you will get the same experience while learning. Besides that, you will be able to access the course with any kind of internet connection from anywhere at any time without any kind of limitation. Career Path You will be ready to enter the relevant job market after completing this course. You will be able to gain necessary knowledge and skills required to succeed in this sector. All our Diplomas' are CPD Qualification Standards and IAO accredited so you will be able to stand out in the crowd by adding our qualifications to your CV and Resume. The 100 most common verbs in French Etre - to be 00:02:00 Avoir - to have 00:02:00 Devoir - to must 00:02:00 Falloir - to have to 00:02:00 Vouloir - to want 00:02:00 Savoir - to know 00:01:00 Penser - to think 00:02:00 Faire - to do 00:02:00 Venir - to come 00:02:00 Prendre - to take 00:02:00 Parler - to speak 00:02:00 Commencer - to start 00:02:00 Essayer - to try 00:02:00 Aller - to go 00:02:00 Entendre - to wait 00:02:00 Sortir - to go out 00:02:00 Attendre - to wait 00:02:00 Permettre - to allow 00:02:00 Compter - to count 00:02:00 Donner -to give 00:02:00 Comprendre - to understand 00:02:00 Connaitre - to know 00:02:00 Empecher - to stop 00:02:00 Reprendre - to take back 00:02:00 Appeler - to call 00:02:00 Mener - to lead 00:02:00 Permettre - to allow 00:02:00 Appartenir - to belong to 00:03:00 Occuper - to occupy 00:03:00 Toucher - to touch 00:02:00 Risquer - to risk 00:02:00 Aimer - to like 00:02:00 Devenir - to become 00:02:00 Concerner - to concern 00:01:00 Retrouver - to find back 00:02:00 Apprendre - to learn 00:02:00 Partir - to leave 00:02:00 Perdre - to loose 00:02:00 Rencontrer - to meet 00:02:00 Tenir - to keep 00:02:00 Decider - to decide 00:02:00 Creer - to create 00:02:00 Expliquer - to explain 00:02:00 Arriver - to arrive 00:02:00 Obtenir - to obtain 00:02:00 Ouvrir - to open 00:02:00 Considerer - to consider 00:03:00 Chercher - to look for 00:02:00 Assurer - to ensure 00:02:00 Servir - to serve 00:02:00 Entrer - to enter 00:02:00 Porter - to carry 00:02:00 Sembler - to seem 00:02:00 Gagner - to win 00:02:00 Presenter - to present 00:02:00 Proposer - to propose 00:02:00 Revenir - to come back 00:02:00 Exister - to exist 00:02:00 Changer - to change 00:02:00 Accepter - to accept 00:02:00 Produire - to produce 00:02:00 Montrer - to show 00:02:00 Apporter - to bring 00:02:00 Laisser - to let 00:02:00 Voir - to see 00:02:00 Agir - to act 00:02:00 Preparer - to prepare 00:02:00 Refuser - to refuse 00:02:00 Continuer - to continue 00:02:00 Recevoir - to receive 00:02:00 Utiliser - to use 00:02:00 Demander - to ask 00:02:00 Poser - to put 00:02:00 Relever - to raise 00:02:00 Repondre - to answer 00:02:00 Lire - to read 00:02:00 Atteindre - to reach 00:02:00 Trouver - to find 00:02:00 Ecrire - to write 00:02:00 Jouer - to play 00:02:00 Travailler - to work 00:02:00 Passer - to pass 00:02:00 Rappeler - to call back 00:03:00 Tenter - to tempt 00:02:00 Suivre - to follow 00:02:00 Defendre - to defend 00:02:00 Representer - to represent 00:02:00 Reconnaitre - to recognize 00:02:00 Ajouter - to add 00:02:00 Rendre - to give back 00:02:00 Vivre - to live 00:02:00 Tirer - to pull 00:03:00 Choisir - to choose 00:02:00 Reussir - to succeed 00:02:00 Importer - to import 00:02:00 Rester - to stay 00:02:00 Croire - to beleive 00:02:00 Manger - to eat 00:02:00 Boire - to drink 00:02:00 Dormir - to sleep 00:02:00
Motorsport is as much a business as it is a sport. Our new master’s programme will provide students with a broad range of modules which examine the national and international aspects of the industry from a commercial perspective. From governance, structure and international sports law, through to the importance and interdependence of commercial rights holders, promoters, manufacturer, teams, sponsors and the role played by the media, this course is aimed at enhancing the professional and career prospects of those with an aspiration of working within this exciting and challenging global industry. Our programme will help you to develop as professionals with a strong grounding in ethics and a clear sense of how motorsport relates to various cultures, stakeholders and the sectors it interacts with.
WE WORK HARD TO BE MORE PRODUCTIVE AND AVOID WASTING TIME. THEREFORE, THE MEETINGS WE HAVE SHOULD BE IMPORTANT. In order to make the best use of our time, we need to be efficient. Our main goal is to increase productivity and avoid wasting time. Therefore, it is important that the meetings we have are meaningful and necessary. Unlike the story of “The Boy Who Cried Wolf,” we want our meeting attendees to understand the value of our work. We show them by setting a good example. Over time, they realize that our meetings are held for important reasons. When attendees know that our meetings are productive, respectful (in terms of length and content relevance), and serve a purpose, they are happy to attend and contribute their best. This class will help participants organize their ideas and communicate clearly. As facilitators, you will learn to be concise and communicate with confidence. By running more productive sessions, you will increase satisfaction and open up dialogue with your audience. FORGE AHEAD – THE REWARDS AWAIT.THROUGH THE IMPROVING COMMUNICATIONS RUNNING EFFECTIVE MEETINGS CLASS, YOU WILL: Gain new perspective and methods to create better, more productive sessions; Have a clear purpose to keep focus and engage with interest; Inspire facilitator-audience dialogue, ensuring a genuine exchange of ideas; Manage distractions and disruptions appropriately, keeping efficiency; and Probe for information, getting the most useful level of detail for improvement. Online Format—Running Effective Meetings is a 4-hour interactive online class for up to six people. Register for this class and you will be sent ONLINE login instructions prior to the class date. As a trainer and human resources professional, I truly believe in the value that Dr. Atkins can add to any organization. The seminar he provided was easy to follow and thought provoking. His personable demeanor along with his humble spirit and obvious expertise make his sessions gems that you cannot afford to pass up. Deirdre Cash, PHRPaco Group, NYC
Course Overview Peek into the world of data science and machine learning with the comprehensive Data Science & Machine Learning With R in 2021 course. This course will provide you with a detailed understanding of both machine learning and data science. In addition, you will acquire essential skills to pursue a career in this growing industry. The Data Science & Machine Learning With R in 2021 course will teach you the core concept of data science. You will be able to recognize different data types and structures. From the modules, you will receive an introduction to the intermediate R Section. The course will show you the techniques of data manipulation in R. You will know the process of data visualization with R and learn to create reports with R markdown. The Data Science & Machine Learning With R in 2021 course will provide you with an insight into the fundamentals of machine learning. You will understand the principles of data processing, linear regression, logistic regression and more. This highly informative Data Science & Machine Learning With R in 2021 course will equip you with the essential skills of data science. If you desire to become a professional data scientist, this course can be your stepping stone. So, enroll in the course and fast track your career. Learning Outcomes Learn the definition of data science Understand the basics of machine learning Enrich your knowledge of data types and structures Know the process of data manipulation in R Gain the ability to create reports with R markdown Become skilled in building web apps with R shiny Who is this course for? Aspiring data scientists or individuals interested in learning data science and machine learning Entry Requirement This course is available to all learners, of all academic backgrounds. Learners should be aged 16 or over to undertake the qualification. Good understanding of English language, numeracy and ICT are required to attend this course. Certification After you have successfully completed the course, you will be able to obtain an Accredited Certificate of Achievement. You can however also obtain a Course Completion Certificate following the course completion without sitting for the test. Certificates can be obtained either in hardcopy at the cost of £39 or in PDF format at the cost of £24. PDF certificate's turnaround time is 24 hours, and for the hardcopy certificate, it is 3-9 working days. Why choose us? Affordable, engaging & high-quality e-learning study materials; Tutorial videos/materials from the industry-leading experts; Study in a user-friendly, advanced online learning platform; Efficient exam systems for the assessment and instant result; The UK & internationally recognized accredited qualification; Access to course content on mobile, tablet or desktop from anywhere anytime; The benefit of career advancement opportunities; 24/7 student support via email. Career Path The Data Science & Machine Learning With R in 2021 course is a useful qualification to possess and would be beneficial for any related profession or industry such as: Data Scientist Data Science and Machine Learning Course Intro Data Science and Machine Learning Introduction 00:03:00 What is Data Science 00:10:00 Machine Learning Overview 00:05:00 Who is This Course for 00:03:00 Data Science and Machine Learning Marketplace 00:05:00 Data Science and Machine Learning Job Opportunities 00:03:00 Data Types and Structures in R Getting Started 00:16:00 Basics 00:06:00 Files 00:11:00 RStudio 00:07:00 Tidyverse 00:05:00 Resources 00:04:00 Data Types and Structures in R Unit Introduction 00:30:00 Basic Type 00:09:00 Vector Part One 00:20:00 Vectors Part Two 00:25:00 Vectors - Missing Values 00:16:00 Vectors - Coercion 00:14:00 Vectors - Naming 00:10:00 Vectors - Misc 00:06:00 Creating Matrics 00:31:00 List 00:32:00 Introduction to Data Frames 00:19:00 Creating Data Frames 00:20:00 Data Frames: Helper Functions 00:31:00 Data Frames Tibbles 00:39:00 Intermediate R Intermediate Introduction 00:47:00 Relational Operations 00:11:00 Conditional Statements 00:11:00 Loops 00:08:00 Functions 00:14:00 Packages 00:11:00 Factors 00:28:00 Dates and Times 00:30:00 Functional Programming 00:37:00 Data Import or Export 00:22:00 Database1 00:27:00 Data Manipulation in R Data Manipulation in R Introduction 00:36:00 Tidy Data 00:11:00 The Pipe Operator 00:15:00 The Filter Verb 00:22:00 The Select Verb 00:46:00 The Mutate Verb 00:32:00 The Arrange Verb 00:10:00 The Summarize Verb 00:23:00 Data Pivoting 00:43:00 JSON Parsing 00:11:00 String Manipulation 00:33:00 Web Scraping 00:59:00 Data Visualization in R Data Visualization in R Section Intro 00:17:00 Getting Started 00:16:00 Aesthetics Mappings 00:25:00 Single Variable Plots 00:37:00 Two Variable Plots 00:21:00 Facets, Layering, and Coordinate Systems 00:18:00 Styling and Saving 00:12:00 Creating Reports with R Markdown Creating with R Markdown 00:29:00 Building Webapps with R Shiny Introduction to R Shiny 00:26:00 A Basic R Shiny App 00:31:00 Other Examples with R Shiny 00:34:00 Introduction to Machine Learning Machine Learning Part 1 00:22:00 Machine Learning Part 2 00:47:00 Starting A Career in Data Science Starting a Data Science Career Section Overview 00:03:00 Data Science Resume 00:04:00 Getting Started with Freelancing 00:05:00 Top Freelance Websites 00:05:00 Personal Branding 00:05:00 Importance of Website and Blo 00:04:00 Networking Do's and Don'ts 00:04:00 Certificate and Transcript Order Your Certificates and Transcripts 00:00:00
This comprehensive course is designed to take you on a journey of mastering React, the popular JavaScript library for building dynamic user interfaces, and combining it with the power of .NET API for seamless back-end integration. This course will provide you with a solid foundation and hands-on experience in building full-stack applications.