1727 Analytics courses delivered Online

Duration 5 Days 30 CPD hours This course is intended for Those new to Citrix or considering a move to Citrix Cloud Overview Gain foundational knowledge of Citrix Virtual Apps and Desktops 7Learn how to install, configure, and manage a Citrix Virtual Apps and Desktops 7 site and Cloud connectorsIdentify the considerations between Citrix Virtual Apps and Desktops on-premises and the Citrix Virtual Apps and Desktops ServiceDiscover how to deliver app and desktop resources This course will teach students how to deploy, install, configure, setup profile management, configure policies, printing and basic security features for on-premises Virtual Apps and Desktop solution building, and then migrating to Citrix Cloud.This course includes a voucher to take the related exam and earn your Citrix Certified Associate - Virtualization (CCA-V) certification. Architecture Overview Introduction to Citrix Virtual Apps and Desktops Architecture Overview Features Hosting Platform Considerations Citrix Virtual Apps and Desktops Service Connection Flow Process Introduction Deploy the Site Pre-Deployment Considerations Citrix Licensing Setup Delivery Controller Setup Site Setup And Management Redundancy Considerations The Apps and Desktops Images Consider Master Image Creation Methods Master Image Requirements Provision and Deliver App and Desktop Resources Machine Catalogs and Delivery Groups Provisioning Methods and Considerations Machine Creation Services (MCS) Deep Dive MCS Environment Considerations Resource Locations Provide Access to App and Desktop Resources Consider Workspace Experience versus StoreFront Workspace Experience User Authentication Workspace App Communication Flow Manage the User Experience Methods to Manage the User Experience Common User Experience Settings Published App and Desktop Presentation and Management Published App Properties Server OS Published App Optimizations Published App Presentation Application Groups Apps and Desktops Presentation Manage Printing for User Sessions Map Printers to the User Session Printer Drivers Print Environment Considerations Citrix Profile Management Introduction and Considerations Configure Citrix Profile Management Manage the Site Delegated Administration Use PowerShell with Citrix Virtual Apps and Desktops Power Management Considerations Citrix Virtual Apps and Desktops Basic Security Considerations Citrix Admin Security Considerations XML Service Security Considerations Secure HDX External Traffic Monitor the Site Citrix Director Introduction Monitor and Interact with User Sessions Published Apps Analysis Monitor the Machines Running the VDA Site Specific Common Monitoring Alerts and Notifications Optimize Citrix Director Monitoring with Citrix ADM Introduction to Supporting and Troubleshooting Citrix Virtual Apps and Desktops Introduction to Supporting a Citrix Virtual Apps and Desktops Site Tools Proactive Administration Common Tasks Migrate To Citrix Cloud Migration Considerations Citrix Cloud Connector Deployment Citrix Virtual Apps and Desktops with an On-Premises Resource Location The Migration Process Citrix Analytics Citrix Analytics Introduction Prepare to Use Citrix Analytics Types of Analytics Additional course details: Nexus Humans CWS-215 Citrix Virtual Apps and Desktops 7 Administration On-Premises and In Citrix Cloud 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 CWS-215 Citrix Virtual Apps and Desktops 7 Administration On-Premises and In Citrix Cloud 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.

Level 4 QLS Endorsed Diploma | 120 CPD Points | +Gifts: QLS Certificate + PDF Certificate | 24/7 Learner Support

Overview For building a solid position in the world of digital marketing understanding Google Ads is mandatory. So, if you are planning to pursue a career in marketing or want to promote your business, grasp the ins and outs of Google Ads. The Google Ads For Beginners course is the perfect place to start learning. This comprehensive course will give you an overall understanding of Google Ads. from the easy-to-follow modules you will learn how to create Google Ads. The course will teach you the techniques to avoid common mistakes and build a successful Adward campaign. Then you will learn about Adwords display advertising, content remarketing strategies, Adwords bidding strategies and much more. Furthermore, the course will help you reduce the expenditure on waste Ads. You will also grasp the skills for tracking Adwards analytics. At the end of the course, you will receive a certificate of achievement. This certificate will help you build an impressive CV. So, join now and start learning! How will I get my certificate? You may have to take a quiz or a written test online during or after the course. After successfully completing the course, you will be eligible for the certificate. Who is This course for? This Google Ads For Beginners course is available to all students, of all academic backgrounds. Anyone who wants to pursue a career in the relevant industry can take the course and develop their skills and knowledge. Requirements There is no experience or previous qualifications required to enrol in this course It is fully compatible with PC's, Mac's, Laptop, Tablet and Smartphone devices. There is no time limit for completing this course, it can be studied in your own time at your own pace. Career Path This course will equip you with valuable knowledge and effective skills in this area. After completing the course, you will be able to explore career opportunities in the fields such as Digital Marketer Marketing Executives Business Owner Course Curriculum 1 sections • 15 lectures • 01:01:00 total length •Course Promo: 00:03:00 •Lesson 01: Getting started with Google Ads: 00:04:00 •Lesson 02: Create your Google Ads: 00:04:00 •Lesson 03: Ingredients to build a successful Adwords camping: 00:04:00 •Lesson 04: Google Adwords mistakes to be avoided: 00:04:00 •Lesson 05: Google Adwords audit - Optimisation guide: 00:06:00 •Lesson 06: Improving quality score in Google Adwords: 00:04:00 •Lesson 07: Adwords display advertising: 00:05:00 •Lesson 08: Turbocharge Adwords for breakthrough performance: 00:03:00 •Lesson 09: Content remarketing strategies with Google display network: 00:04:00 •Lesson 10: Adwords bidding strategies your competitors don't know: 00:07:00 •Lesson 11: Using Google Adwords for small business: 00:03:00 •Lesson 12: How to reduce wasted Adwords spend: 00:02:00 •Lesson 13: Google Adwords features updated: 00:04:00 •Lesson 14: Tracking Google Ads analytics: 00:04:00

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 Digital Product Management 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 the professional training that employers are looking for in today's workplaces. The Digital Product Management Course is one of the most prestigious training offered at Skillwise and is highly valued by employers for good reason. This Digital Product Management 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 Digital Product Management Course, like every one of Skillwise'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 Skillwise, we don't just offer courses; we also provide a valuable teaching process. When you buy a course from Skillwise, you get unlimited Lifetime access with 24/7 dedicated tutor support. Why buy this Digital Product Management? Unlimited access to the course forever Digital Certificate, Transcript, and student ID are all included in the price Absolutely no hidden fees Directly receive CPD Quality Standard-accredited qualifications after course completion Receive one-to-one assistance 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 Digital Product Management 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 free. Original Hard Copy certificates need to be ordered at an additional cost of £8. Who is this course for? This Digital Product Management 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 skills. Prerequisites This Digital Product Management does not require you to have any prior qualifications or experience. You can just enroll and start learning. This Digital Product Management was made by professionals and it is compatible with all PCs, Macs, 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 a bonus, you will be able to pursue multiple occupations. This Digital Product Management is a great way for you to gain multiple skills from the comfort of your home.   Module 01: Basics of Digital Product Management Basics of Digital Product Management 00:45:00 Module 02: Understanding Market and Customers Understanding Market and Customers 00:40:00 Module 03: Strategy Development Strategy Development 02:20:00 Module 04: Roadmap Roadmap 00:45:00 Module 05: Development Methodologies Development Methodologies 01:30:00 Module 06: Analytics and Metrics Analytics and Metrics 01:10:00 Module 07: Marketing Marketing 00:50:00 Module 08: Legal Aspects Legal Aspects 00:50:00 Assignment Assignment - Digital Product Management 06:01:00

🚀 Supercharge Your Online Presence with 'Marketing Skills for Facebook' Course! 🚀 Are you ready to unlock the immense potential of Facebook for your business? Elevate your marketing game and harness the power of the world's largest social media platform with our comprehensive 'Marketing Skills for Facebook' course! 🎯 Master the Art of Targeted Advertising: Learn how to create compelling ads that reach your ideal audience. From demographic targeting to crafting engaging ad content, discover the secrets to boosting conversions and maximizing ROI. 📈 Optimize Your Facebook Presence: Gain insights into optimizing your business page for maximum visibility and engagement. Leverage Facebook's tools and features effectively to build a strong brand presence and attract more customers. 💡 Strategic Content Creation: Unlock the strategies behind creating thumb-stopping content that captivates your audience. Discover how to plan, create, and schedule content that drives meaningful interactions and builds a loyal community around your brand. 🔍 Analytics and Insights Demystified: Navigate Facebook Insights like a pro! Understand crucial metrics, interpret data, and refine your strategies based on real-time analytics to continually improve your marketing efforts. 🤝 Community Building and Engagement: Learn the art of fostering a vibrant community around your brand. From effective communication to fostering meaningful interactions, cultivate a loyal customer base that keeps coming back. 🏆 Bonus: Exclusive Case Studies and Expert Tips: Gain valuable insights from successful campaigns and industry experts. Dive deep into real-world case studies and receive insider tips to take your Facebook marketing to the next level. 🌟 What's Included: Engaging video lessons presented by seasoned marketing professionals Interactive quizzes and exercises to reinforce learning Downloadable resources and templates for practical implementation Access to a supportive community forum for networking and Q&A sessions 🔥 Don't miss out on this opportunity to revolutionize your marketing strategy on Facebook! Enroll in 'Marketing Skills for Facebook' today and propel your business to new heights! Course Curriculum Module 1: My Experience With Facebook Marketing My Experience With Facebook Marketing 00:00 Module 2: Facebook Marketing Basics Explained From Profiles To Groups And Pages Facebook Marketing Basics Explained From Profiles To Groups And Pages 00:00 Module 3: #1 Facebook Marketing Strategy Forever #1 Facebook Marketing Strategy Forever 00:00 Moduloe 4: Best Free Facebook Marketing Strategy To Build New Relationships Without Having A Group Or Page Best Free Facebook Marketing Strategy To Build New Relationships Without Having A Group Or Page 00:00 Module 5: Facebook Group Case Studies Of Success And Failure Facebook Group Case Studies Of Success And Failure 00:00 Module 6: Managing Our Facebook Group Memberships And Considering The Need For A New Group Managing Our Facebook Group Memberships And Considering The Need For A New Group 00:00 Module 7: Facebook Group Creation, Url Setting, And Posting Permission Tutorial Facebook Group Creation, Url Setting, And Posting Permission Tutorial 00:00 Module 8: Fast Facebook Group Cover Photo Creation At 1604 X 856 Pixels With Canva In 2019 Fast Facebook Group Cover Photo Creation At 1604 X 856 Pixels With Canva In 2019 00:00 Module 9: Creating Rules For Facebook Groups And Managing Moderation To Limit Self Promotion And Conflict Creating Rules For Facebook Groups And Managing Moderation To Limit Self Promotion And Conflict 00:00 Module 10: Create Events In Facebook Groups For Weekly Voice Calls To Build Relationships Create Events In Facebook Groups For Weekly Voice Calls To Build Relationships 00:00 Module 11: Editing The Facebook Group Description And Membership Requirements Editing The Facebook Group Description And Membership Requirements 00:00

Overview   With the ever-increasing demand for Advertising in personal & professional settings, this online training aims at educating, nurturing, and upskilling individuals to stay ahead of the curve - whatever their level of expertise in Advertising may be.   Learning about Advertising or keeping up to date on it can be confusing at times, and maybe even daunting! But that's not the case with this course from Compete High. We understand the different requirements coming with a wide variety of demographics looking to get skilled in Advertising. That's why we've developed this online training in a way that caters to learners with different goals in mind. The course materials are prepared with consultation from the experts of this field and all the information on Advertising is kept up to date on a regular basis so that learners don't get left behind on the current trends/updates.   The self-paced online learning methodology by compete high in this Search Engine Advertising course helps you learn whenever or however you wish, keeping in mind the busy schedule or possible inconveniences that come with physical classes. The easy-to-grasp, bite-sized lessons are proven to be most effective in memorising and learning the lessons by heart. On top of that, you have the opportunity to receive a certificate after successfully completing the course!   Instead of searching for hours, enrol right away on this Search Engine Advertising course from Compete High and accelerate your career in the right path with expert-outlined lessons and a guarantee of success in the long run.   Who is this course for?   While we refrain from discouraging anyone wanting to do this Search Engine Advertising course or impose any sort of restrictions on doing this online training, people meeting any of the following criteria will benefit the most from it: Anyone looking for the basics of Advertising, Jobseekers in the relevant domains, Anyone with a ground knowledge/intermediate expertise in Advertising, Anyone looking for a certificate of completion on doing an online training on this topic, Students of Advertising, or anyone with an academic knowledge gap to bridge, Anyone with a general interest/curiosity   Career Path   This Search Engine Advertising course smoothens the way up your career ladder with all the relevant information, skills, and online certificate of achievements. After successfully completing the course, you can expect to move one significant step closer to achieving your professional goals - whether it's securing that job you desire, getting the promotion you deserve, or setting up that business of your dreams.  Course Curriculum Module 1 - Introduction To SEA Introduction To SEA 00:00 Module 2 - GOOGLE ADS_ BASICS OF GOOGLE ADS GOOGLE ADS_ BASICS OF GOOGLE ADS 00:00 Module 3 - THE ANATOMY OF A SEARCH INTERNET AD THE ANATOMY OF A SEARCH INTERNET AD 00:00 Module 4 - OVERVIEW_ TYPE OF ADS Draft LessonOVERVIEW_ TYPE OF ADS 00:00 Module 5 - GOOGLE ADS_ NETWORKS AND AD FORMATS GOOGLE ADS_ NETWORKS AND AD FORMATS 00:00 Module 6 - GOOGLE ADS_ PREPARATION, CAMPAIGNS, AD GROUPS AND MORE GOOGLE ADS_ PREPARATION, CAMPAIGNS, AD GROUPS AND MORE 00:00 Module 7 - EDITOR, OPTIMIZATION, ANALYTICS, AND OTHERS EDITOR, OPTIMIZATION, ANALYTICS, AND OTHERS 00:00 Module 8 - KEYWORDS AND KEYWORDS RESEARCH TOOLS KEYWORDS AND KEYWORDS RESEARCH TOOLS 00:00 Module 9 - SET YOUR KEYWORD MATCH TYPES SET YOUR KEYWORD MATCH TYPES 00:00 Module 10 - KEY PERFORMANCE INDICATORS (KPIs) KEY PERFORMANCE INDICATORS (KPIs) 00:00

Duration 2 Days 12 CPD hours This course is intended for Audience: Data Scientists, Software Developers, IT Architects, and Technical Managers. Participants should have the general knowledge of statistics and programming Also familiar with Python Overview ? NumPy, pandas, Matplotlib, scikit-learn ? Python REPLs ? Jupyter Notebooks ? Data analytics life-cycle phases ? Data repairing and normalizing ? Data aggregation and grouping ? Data visualization ? Data science algorithms for supervised and unsupervised machine learning Covers theoretical and technical aspects of using Python in Applied Data Science projects and Data Logistics use cases. Python for Data Science ? Using Modules ? Listing Methods in a Module ? Creating Your Own Modules ? List Comprehension ? Dictionary Comprehension ? String Comprehension ? Python 2 vs Python 3 ? Sets (Python 3+) ? Python Idioms ? Python Data Science ?Ecosystem? ? NumPy ? NumPy Arrays ? NumPy Idioms ? pandas ? Data Wrangling with pandas' DataFrame ? SciPy ? Scikit-learn ? SciPy or scikit-learn? ? Matplotlib ? Python vs R ? Python on Apache Spark ? Python Dev Tools and REPLs ? Anaconda ? IPython ? Visual Studio Code ? Jupyter ? Jupyter Basic Commands ? Summary Applied Data Science ? What is Data Science? ? Data Science Ecosystem ? Data Mining vs. Data Science ? Business Analytics vs. Data Science ? Data Science, Machine Learning, AI? ? Who is a Data Scientist? ? Data Science Skill Sets Venn Diagram ? Data Scientists at Work ? Examples of Data Science Projects ? An Example of a Data Product ? Applied Data Science at Google ? Data Science Gotchas ? Summary Data Analytics Life-cycle Phases ? Big Data Analytics Pipeline ? Data Discovery Phase ? Data Harvesting Phase ? Data Priming Phase ? Data Logistics and Data Governance ? Exploratory Data Analysis ? Model Planning Phase ? Model Building Phase ? Communicating the Results ? Production Roll-out ? Summary Repairing and Normalizing Data ? Repairing and Normalizing Data ? Dealing with the Missing Data ? Sample Data Set ? Getting Info on Null Data ? Dropping a Column ? Interpolating Missing Data in pandas ? Replacing the Missing Values with the Mean Value ? Scaling (Normalizing) the Data ? Data Preprocessing with scikit-learn ? Scaling with the scale() Function ? The MinMaxScaler Object ? Summary Descriptive Statistics Computing Features in Python ? Descriptive Statistics ? Non-uniformity of a Probability Distribution ? Using NumPy for Calculating Descriptive Statistics Measures ? Finding Min and Max in NumPy ? Using pandas for Calculating Descriptive Statistics Measures ? Correlation ? Regression and Correlation ? Covariance ? Getting Pairwise Correlation and Covariance Measures ? Finding Min and Max in pandas DataFrame ? Summary Data Aggregation and Grouping ? Data Aggregation and Grouping ? Sample Data Set ? The pandas.core.groupby.SeriesGroupBy Object ? Grouping by Two or More Columns ? Emulating the SQL's WHERE Clause ? The Pivot Tables ? Cross-Tabulation ? Summary Data Visualization with matplotlib ? Data Visualization ? What is matplotlib? ? Getting Started with matplotlib ? The Plotting Window ? The Figure Options ? The matplotlib.pyplot.plot() Function ? The matplotlib.pyplot.bar() Function ? The matplotlib.pyplot.pie () Function ? Subplots ? Using the matplotlib.gridspec.GridSpec Object ? The matplotlib.pyplot.subplot() Function ? Hands-on Exercise ? Figures ? Saving Figures to File ? Visualization with pandas ? Working with matplotlib in Jupyter Notebooks ? Summary Data Science and ML Algorithms in scikit-learn ? Data Science, Machine Learning, AI? ? Types of Machine Learning ? Terminology: Features and Observations ? Continuous and Categorical Features (Variables) ? Terminology: Axis ? The scikit-learn Package ? scikit-learn Estimators ? Models, Estimators, and Predictors ? Common Distance Metrics ? The Euclidean Metric ? The LIBSVM format ? Scaling of the Features ? The Curse of Dimensionality ? Supervised vs Unsupervised Machine Learning ? Supervised Machine Learning Algorithms ? Unsupervised Machine Learning Algorithms ? Choose the Right Algorithm ? Life-cycles of Machine Learning Development ? Data Split for Training and Test Data Sets ? Data Splitting in scikit-learn ? Hands-on Exercise ? Classification Examples ? Classifying with k-Nearest Neighbors (SL) ? k-Nearest Neighbors Algorithm ? k-Nearest Neighbors Algorithm ? The Error Rate ? Hands-on Exercise ? Dimensionality Reduction ? The Advantages of Dimensionality Reduction ? Principal component analysis (PCA) ? Hands-on Exercise ? Data Blending ? Decision Trees (SL) ? Decision Tree Terminology ? Decision Tree Classification in Context of Information Theory ? Information Entropy Defined ? The Shannon Entropy Formula ? The Simplified Decision Tree Algorithm ? Using Decision Trees ? Random Forests ? SVM ? Naive Bayes Classifier (SL) ? Naive Bayesian Probabilistic Model in a Nutshell ? Bayes Formula ? Classification of Documents with Naive Bayes ? Unsupervised Learning Type: Clustering ? Clustering Examples ? k-Means Clustering (UL) ? k-Means Clustering in a Nutshell ? k-Means Characteristics ? Regression Analysis ? Simple Linear Regression Model ? Linear vs Non-Linear Regression ? Linear Regression Illustration ? Major Underlying Assumptions for Regression Analysis ? Least-Squares Method (LSM) ? Locally Weighted Linear Regression ? Regression Models in Excel ? Multiple Regression Analysis ? Logistic Regression ? Regression vs Classification ? Time-Series Analysis ? Decomposing Time-Series ? Summary Lab Exercises Lab 1 - Learning the Lab Environment Lab 2 - Using Jupyter Notebook Lab 3 - Repairing and Normalizing Data Lab 4 - Computing Descriptive Statistics Lab 5 - Data Grouping and Aggregation Lab 6 - Data Visualization with matplotlib Lab 7 - Data Splitting Lab 8 - k-Nearest Neighbors Algorithm Lab 9 - The k-means Algorithm Lab 10 - The Random Forest Algorithm

This course explains how huge chunks of data can be analyzed and visualized using the power of the data analyst toolbox. You will learn Python programming, advanced pivot tables' concepts, the magic of Power BI, perform analysis with Alteryx, master Qlik Sense, R Programming using R and R Studio, and create stunning visualizations in Tableau Desktop.

Data Analysis (Beginner): Data Analysis Course Online Are you trying to get the knowledge and abilities required to excel in data analysis at the beginner level? Our Data Analysis Course (Beginner) could be your perfect option for this. The Data Analysis Course (Beginner) offers comprehensive training in data analysis methodologies and tools. The Data Analysis Course (Beginner) covers topics such as data cleaning, visualisation, and statistical analysis. Also, the Data Analysis Course (Beginner) teaches programming in Python or R. Moreover, the Data Analysis Course (Beginner) equips students with essential skills for deriving insights from data. This Data Analysis Course (Beginner) explains data manipulation and interpretation. Enrol in our Data Analysis Course (Beginner) to prepare them for careers in data analysis across various industries. Main Course: Data Analytics Course (Beginner) [ Note: Free PDF certificate as soon as completing the Data Analysis (Beginner): Data Analysis Course] Data Analysis (Beginner): Data Analysis Course This Data Analysis (Beginner): Data Analysis Training Course consists of 12 modules. Who is this course for? Data Analysis (Beginner): Data Analysis Course This Data Analysis (Beginner): Data Analysis Course is recommended for anyone looking to advance in their data analysis career. Requirements Data Analysis (Beginner): Data Analysis Course To enrol in this Data Analysis (Beginner): Data Analysis Course, students must fulfil the following requirements: Data Analysis: Good Command over English language is mandatory to enrol in our Data Analysis Course. Data Analysis: Be energetic and self-motivated to complete our Data Analysis Course. Data Analysis: Basic computer Skill is required to complete our Data Analysis Course. Data Analysis: If you want to enrol in our Data Analysis Course, you must be at least 15 years old. Career path Data Analysis (Beginner): Data Analysis Course The Data Analysis (Beginner): Data Analysis Course opens up a wide range of work prospects, especially in the UK labour market.

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