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Unlock the power of data with our Business Intelligence and Data Mining course. Dive into the world of Business Intelligence (BI) and learn how data-driven decisions can revolutionize every aspect of a business. This course takes you through the decision-making process and the essential role of IT systems in today's business landscape. Discover the art of creating effective dashboards and master various chart types that bring data to life. Whether you're a budding entrepreneur, a business professional, or an aspiring data analyst, this course equips you with the knowledge and skills needed to harness the potential of data for strategic decision-making. Learning Outcomes Understand the fundamentals of Business Intelligence and its critical role in modern business. Explore the decision-making process and the need for robust IT systems to support it. Master the art of creating impactful dashboards and understand the principles of Balanced Scorecards (BSC). Gain expertise in data warehousing and database models. Delve into the world of Data Mining, from its stages to techniques like classification, clustering, and association rules. Why choose this Business Intelligence and Data Mining 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 Business Intelligence and Data Mining course for? Aspiring entrepreneurs looking to make data-driven decisions. Business professionals seeking to enhance their strategic decision-making skills. Data enthusiasts interested in diving into the world of Business Intelligence. Students and graduates looking to specialize in data analytics. Professionals aiming to broaden their understanding of BI and Data Mining. Career path Data Analyst: £24,000 - £45,000 Business Intelligence Analyst: £26,000 - £54,000 Data Scientist: £29,000 - £70,000 Database Administrator: £25,000 - £52,000 Business Analyst: £27,000 - £55,000 IT Manager: £32,000 - £82,000 Prerequisites This Business Intelligence and Data Mining does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Business Intelligence and Data Mining 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 Business Intelligence and Data Mining Module 01: What is Business Intelligence? 00:05:00 Module 02: Starting Case in understanding BI needs in diff phase of business 00:07:00 Module 03: Decision Making Process and Need of IT systems 00:20:00 Module 04: Problem Structure and Decision Support System 00:11:00 Module 05: Introduction to BI Applications 00:18:00 Module 06: Dashboard presentation systems 00:07:00 Module 07: Different Types of Charts used in 131 Dashboards 00:30:00 Module 08: Good Dashboard and BSC 00:13:00 Module 09: Examples of Bad Dashboards 1 00:07:00 Module 10: Examples of Bad Dashboards 2 00:01:00 Module 11: Process of KPI Development 00:26:00 Module 12: Overview of Data warehouse 00:08:00 Module 13: More explaining of data warehouse and steps in processing 00:09:00 Module 14: Data Warehouse Architecture -Tiers 00:18:00 Module 15: Data Warehouse - components 00:15:00 Module 16: Approach to develop data structure and Models of database 00:16:00 Module 17: Basics of Data Mining - Meaning 00:35:00 Module 18: Basics of Data Mining - Stages of DM 00:25:00 Module 19: Data Mining Technique - Classification 00:07:00 Module 20: Data mining - Clustering 00:02:00 Module 21: Data Mining - Association Rules 00:05:00 Module 22: Data Mining Applications - Banking 00:03:00 Module 23: Data Mining Applications - CRM 00:04:00 Module 24: Data Mining Applications - other industries 00:04:00 Assignment Assignment - Business Intelligence and Data Mining 00:00:00

In the digital age, the ability to interpret and predict data trends is paramount. Introducing 'Data Analysis and Forecasting in Excel', a comprehensive course tailored to unveil the intricacies of Excel's powerful tools. Dive deep into the world of worksheets, discover the magic of PivotTables, and unravel the secrets of data visualisation. Whether you're a novice eager to delve into data or a seasoned analyst looking to refine your skills, this course promises a transformative journey into the realm of Excel analytics. The curriculum is designed with the utmost care to ensure a holistic understanding. From the basics of modifying worksheets to the advanced techniques of forecasting data, every module is a step towards mastering Excel. With a focus on real-world applications, learners will be equipped to harness the potential of Excel, making data-driven decisions with confidence and precision. Visualisation is at the heart of understanding data. This course not only teaches you how to analyse data but also how to represent it effectively using charts, PivotCharts, and the innovative Sparklines. By the end of this course, you'll be adept at mapping data, automating workbook functionalities, and employing lookup functions with finesse. Learning Outcomes: Master the techniques of modifying and organising worksheets for optimal data representation. Understand and implement effective list management strategies within Excel. Analyse complex datasets and derive meaningful insights. Design and create compelling visual representations using charts and other visual tools. Efficiently utilise PivotTables and PivotCharts for advanced data analysis. Integrate and manage data across multiple worksheets and workbooks. Implement lookup functions and audit formulas to ensure data accuracy and integrity. Why buy this Data Analysis and Forecasting in Excel course? Unlimited access to the course for a lifetime. Opportunity to earn a certificate accredited by the CPD Quality Standards after completing this course. Structured lesson planning in line with industry standards. Immerse yourself in innovative and captivating course materials and activities. Assessments are designed to evaluate advanced cognitive abilities and skill proficiency. Flexibility to complete the Data Analysis and Forecasting in Excel 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 Who is this Data Analysis and Forecasting in Excel course for? Individuals keen on mastering Excel for data interpretation and visualisation. Business analysts aiming to enhance their data forecasting abilities. Students pursuing a career in data analytics or business intelligence. Managers and decision-makers seeking to make data-driven strategies. Researchers looking to streamline and enhance their data processing techniques. Career path Data Analyst: Average salary range £30,000 - £50,000 annually. Business Intelligence Analyst: Average salary range £35,000 - £55,000 annually. Market Research Analyst: Average salary range £27,000 - £45,000 annually. Financial Analyst: Average salary range £35,000 - £60,000 annually. Operations Research Analyst: Average salary range £40,000 - £65,000 annually. Management Analyst: Average salary range £45,000 - £70,000 annually. Prerequisites This Data Analysis and Forecasting in Excel does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Data Analysis and Forecasting in Excel 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 Modifying a Worksheet Insert, Delete, and Adjust Cells, Columns, and Rows 00:10:00 Search for and Replace Data 00:09:00 Use Proofing and Research Tools 00:07:00 Working with Lists Sort Data 00:10:00 Filter Data 00:10:00 Query Data with Database Functions 00:09:00 Outline and Subtotal Data 00:09:00 Analyzing Data Apply Intermediate Conditional Formatting 00:07:00 Apply Advanced Conditional Formatting 00:05:00 Visualizing Data with Charts Create Charts 00:13:00 Modify and Format Charts 00:12:00 Use Advanced Chart Features 00:12:00 Using PivotTables and PivotCharts Create a PivotTable 00:13:00 Analyze PivotTable Data 00:12:00 Present Data with PivotCharts 00:07:00 Filter Data by Using Timelines and Slicers 00:11:00 Working with Multiple Worksheets and Workbooks Use Links and External References 00:12:00 Use 3-D References 00:06:00 Consolidate Data 00:05:00 Using Lookup Functions and Formula Auditing Use Lookup Functions 00:12:00 Trace Cells 00:09:00 Watch and Evaluate Formulas 00:08:00 Automating Workbook Functionality Apply Data Validation 00:13:00 Search for Invalid Data and Formulas with Errors 00:04:00 Work with Macros 00:18:00 Creating Sparklines and Mapping Data Create Sparklines 00:07:00 MapData 00:07:00 Forecasting Data Determine Potential Outcomes Using Data Tables 00:08:00 Determine Potential Outcomes Using Scenarios 00:09:00 Use the Goal Seek Feature 00:04:00 Forecasting Data Trends 00:05:00

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

Embark on a transformative journey with the 'CompTIA CySA+ Cybersecurity Analyst Course,' designed to fortify the digital frontiers of business. This comprehensive training program begins with an immersive introduction to the cybersecurity realm, setting the stage for a deep dive into the sophisticated world of threat data and intelligence. With an emphasis on real-world application, participants will gain invaluable insights into organizational security, developing the acumen to anticipate, identify, and neutralize digital threats. Mastery over vulnerability assessment tools and mitigation strategies forms the bedrock of this curriculum, providing learners with a robust skill set pivotal for the modern cybersecurity landscape. Learning Outcomes Interpret threat data to reinforce organizational security frameworks. Assess vulnerabilities using state-of-the-art tools and methodologies. Apply best practices for ensuring software and hardware assurance. Analyze security solutions for robust infrastructure management. Implement and manage incident response protocols to address potential compromises effectively. Why choose this CompTIA CySA+ Cybersecurity Analyst Course? Unlimited access to the course for a lifetime. Opportunity to earn a certificate accredited by the CPD Quality Standards after completing this course. Structured lesson planning in line with industry standards. Immerse yourself in innovative and captivating course materials and activities. Assessments are designed to evaluate advanced cognitive abilities and skill proficiency. Flexibility to complete the CompTIA CySA+ Cybersecurity Analyst Course 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. Who is this CompTIA CySA+ Cybersecurity Analyst Course for? Individuals aiming to specialize in cybersecurity analysis. IT professionals seeking to broaden their cybersecurity knowledge. Organizational staff responsible for managing digital security risks. Security consultants requiring up-to-date threat intelligence expertise. System administrators looking to implement enhanced security measures. Career path Cybersecurity Analyst - £25,000 to £60,000 Vulnerability Analyst - £30,000 to £65,000 Security Operations Centre (SOC) Analyst - £32,000 to £70,000 Incident Responder - £27,000 to £68,000 Digital Forensics Specialist - £35,000 to £75,000 Information Security Consultant - £40,000 to £80,000 Prerequisites This CompTIA CySA+ Cybersecurity Analyst Course does not require you to have any prior qualifications or experience. You can just enrol and start learning.This CompTIA CySA+ Cybersecurity Analyst Course 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 Section 01: Introduction Introduction 00:02:00 All about the Exam 00:08:00 What's New on the CompTIA CySA+ Exam? 00:05:00 Meet the Instructors 00:02:00 Thinking like the Enemy 00:09:00 Section 02: The Importance of Threat Data and Intelligence Intelligence Sources and Confidence Levels 00:08:00 Threat Indicators and Actors 00:08:00 Threat Trends 00:07:00 Intelligence Cycle and ISACs 00:06:00 Section 03: Threat Intelligence in Support of Organizational Security Attack Frameworks 00:06:00 Threat Research 00:11:00 Threat Modeling and Intelligence Sharing 00:06:00 Section 04: Vulnerability Assessment Tools Vulnerability Identification 00:07:00 Scanning Parameters and Criteria 00:09:00 Scanning Special Considerations 00:06:00 Validation 00:03:00 Remediation and Mitigation 00:08:00 Inhibitors to Remediation 00:07:00 Section 05: Threats and Vulnerabilities Associated with Specialized Technology Web Applications Scanners, Part 1 00:10:00 Web Applications Scanners, Part 2 00:05:00 Scanning 00:06:00 Configuring and Executing Scans 00:08:00 Vulnerability Scanning 00:10:00 Reverse Engineering 00:08:00 Enumeration 00:06:00 Wireless Assessment Tools 00:08:00 Cloud Assessment Tools 00:04:00 Section 06: Threats and Vulnerabilities Associated with Specialized Technology Mobile and IoT 00:10:00 Embedded and Firmware Systems (RTOS, SoC, and FPGA) 00:09:00 Access and Vehicles Risk 00:08:00 Automation and Control Risk 00:10:00 Section 07: Threats and Vulnerabilities Associated with Operating in the Cloud Cloud Models 00:07:00 Remote Service Invocation (FaaS, IaC, API) 00:10:00 Cloud Vulnerabilities 00:06:00 Section 08: Mitigating Controls for Attacks and Software Vulnerabilities Injection and Overflow Attacks 00:09:00 Authentication Attacks 00:07:00 Exploits 00:08:00 Application Vulnerabilities, Part 1 00:08:00 Application Vulnerabilities, Part 2 00:07:00 Section 09: Security Solutions for Infrastructure Management Network Architecture and Asset Management 00:09:00 Protecting Your Territory 00:05:00 Identity and Access Management 00:11:00 Encryption and Active Defense 00:08:00 Section 10: Software Assurance Best Practices Platforms 00:07:00 SOA and DevSecOps 00:09:00 Secure Software Development 00:08:00 Best Coding Practices 00:04:00 Section 11: Hardware Assurance Best Practices Trusted Hardware 00:10:00 Hardware Encryption 00:04:00 Hardware Security 00:08:00 Section 12: Data Analysis in Security Monitoring Activities Data Analytics 00:10:00 Endpoint Security 00:08:00 Recon Results, Part 1 00:13:00 Recon Results, Part 2 00:05:00 Impact Analysis 00:05:00 Collective Tools 00:09:00 Query Writing 00:07:00 E-mail Analysis, Part 1 00:10:00 E-mail Analysis, Part 2 00:08:00 Section 13: Implement Configuration Changes to Existing Controls to Improve Security Permissions 00:09:00 Firewalls 00:08:00 Intrusion Prevention Rules 00:05:00 DLP and Endpoint Detection 00:05:00 Section 14: The Importance of Proactive Threat Hunting Threat Hunting and the Hypothesis 00:06:00 Threat Hunting Process 00:07:00 Results and Benefits 00:05:00 Section 15: Compare and Contrast Automation Concepts and Technologies Workflow and Scripting 00:07:00 API and Malware Signature Creation 00:08:00 Threat Feeds and Machine Learning 00:06:00 Protocols, Standards, and Software Engineering 00:05:00 Section 16: The Importance of the Incident Response Process IR Roles and Responsibilities 00:08:00 IR Active Preparation 00:10:00 Section 17: Appropriate Incident Response Procedures Incident Response Process 00:07:00 Section 18: Analyze Potential Indicators of Compromise Network Symptoms 00:04:00 Host Symptoms 00:08:00 Application Symptoms 00:04:00 Section 19: Utilize Basic Digital Forensics Techniques Digital Forensics 00:10:00 Seizure and Acquisitions 00:05:00 Forensics Acquisition Tools 00:09:00 Mobile, Virtualization, and Cloud 00:06:00 Forensics Analysis, Part 1 00:04:00 Forensics Analysis, Part 2 00:08:00 Packet Capture 00:12:00 Section 20: The Importance of Data Privacy and Protection Data Privacy and Security 00:06:00 Nontechnical Controls 00:09:00 Technical Controls 00:08:00 Section 21: Security Concepts in Support of Organizational Risk Mitigation Business Impact Analysis 00:05:00 Risk Identification 00:05:00 Risk Calculation and Communication 00:06:00 Training 00:04:00 Supply Chain Assessment 00:04:00 Section 22: The Importance of Frameworks, Policies, Procedures, and Controls Frameworks 00:13:00 Policies and Procedures 00:05:00 Controls and Procedures 00:08:00 Verification 00:06:00 Assignment Assignment - CompTIA CySA+ Cybersecurity Analyst Course 00:00:00

Kickstart a successful career in marketing and advertising with this complete training package for small business owners and aspiring professionals! The Digital Marketing, SEO and Virtual Advertising Diploma course will teach you effective techniques, best practices and strategies for advertising your product or service online, equipping you with the skills to fast track your career and expand your brand in no time. Get started in setting up your website and discover ways to grow your target market, with tips and guidance for creating the perfect marketing strategy. This course is ideal for small business owners and anyone looking to establish a career in digital marketing and advertising.  Why buy this Digital Marketing, SEO and Virtual Advertising Diploma? 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 Digital Marketing, SEO and Virtual Advertising Diploma you will be able to take the MCQ test that will assess your knowledge. 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 Digital Marketing, SEO and Virtual Advertising Diploma does not require you to have any prior qualifications or experience. You can just enrol and start learning.  Prerequisites This Digital Marketing, SEO and Virtual Advertising Diploma 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 Digital Marketing, SEO and Virtual Advertising Diploma is a great way for you to gain multiple skills from the comfort of your home. Course Curriculum Module 01: Introduction Welcome 00:01:00 Module 02: General Tips & Tricks Series How to register your company 00:04:00 How to see Email Sender's Company and Logo in Your Gmail 00:02:00 How to Generate sitemap of a website 00:03:00 How to protect a website from Spam on WordPress 00:02:00 Quick way to identify whether the website is Mobile optimized 00:03:00 How to identify registration data of website 00:01:00 How to identify duplicate content from the web 00:03:00 How to create google alerts 00:03:00 How to find the age of the domin 00:02:00 How to check if the website server is down 00:01:00 How to create text notes thatwill self destruct after being read 00:02:00 How to send google search information to your friends 00:03:00 How to find webhost of any website 00:02:00 Discover new sites that are similar to what you like alredy 00:03:00 How to easily highlight the important parts of a web page 00:01:00 How to share you email online without worrying about spam 00:02:00 How to get compute level answers without searching 00:03:00 The easiest way to setup email reminders 00:03:00 How to find the original URL tht's hiding behind a short URL 00:02:00 How to corrupt a file you shared online 00:01:00 How to create a throwaway email 00:02:00 How to check if your email account has been compromised 00:01:00 Module 03: SEO (Search Engine Optimisation) How to register website on Google search console 00:06:00 How to Optimize your website homepage 00:06:00 How to add a sitemap on google search 00:07:00 How to shortlist targeted keyword list in google keyword planner 00:08:00 How to set international targeting on google search 00:02:00 How to remove a URL from google search engine 00:03:00 How to identify competitors keyword 00:08:00 How to leverage top sites to get on google search results 00:04:00 Discover powerful data analytics to mesure SEO performance 00:06:00 How to do keyword research 00:11:00 How to write perfect title tags for search engines 00:05:00 How to optimise heading tags, external and internal links 00:08:00 What are backlinks & how to get them 00:06:00 How to write a perfect Meta description 00:06:00 How to enhance speed & performance of your website 00:04:00 Module 04: YouTube Youtube account setup 00:04:00 Account optimization 00:09:00 How to create & setup Youtube channel banner 00:05:00 Youtube channel tags, thumbnails & custom thumbnails 00:08:00 Analyse Youtube keyword research 00:05:00 Youtube SEO techniques 00:07:00 What are Youtube cards & how does it work 00:06:00 How to optimise comments & reply them in bulk 00:03:00 How to grow your channel with competitor Analysis 00:07:00 How to manage multiple YouTube accounts 00:02:00 A simple yet powerful trick to increase your subscribers list 00:03:00 Youtube Paid Advertising 00:13:00 How to monetise your YouTube channel 00:02:00 Module 05: Google Adwords What are Google Ads & how does it work 00:16:00 Account setup 00:04:00 Competitors analysis 00:08:00 Campaign types & how to select the right campaign 00:07:00 Bids & Budgets 00:08:00 How to target the right audience 00:07:00 Google Ads advance campaign settings 00:07:00 Choosing the right keywords 00:05:00 How to write ads that gets more clicks 00:06:00 Module 06: Google Analytics How to install tracking code on your website 00:04:00 How to add filters & remove internal traffic 00:04:00 How to track paid campaigns 00:04:00 How to look and analyse different segment data 00:06:00 How to configure goals in google analysics 00:05:00 How to link google Adwords account 00:03:00 How to manage multiple analytics accounts 00:02:00 How to remove spam traffic 00:04:00 Module 07: Email Marketing Email marketing tools set up ( Mailchimp and Gestresponse) 00:10:00 How to install signup or popup forms on the website 00:17:00 How to collect email address without a wbsite 00:05:00 How to create a 'Hook' to your signup forms 00:08:00 Discover the psychology behind acquiring more leads 00:09:00 Email marketing automation process 00:08:00 Email analytics 00:07:00 Module 08: Linkedln How to increase your connections in no time 00:08:00 Secret of LinkedIn InMails 00:05:00 Discover the best ways to use Linkedin Groups 00:09:00 How to setup a company page on Linkedin 00:04:00 How to increase traffic to your website using Linkedin blog 00:07:00 Module 09: Twitter Twitter Account setup 00:03:00 Knowing Twitter features 00:06:00 Following twitter accounts 00:03:00 Twitter profile optimisation 00:06:00 How to get Twitter followers 00:10:00 Posting first 5 tweets for engagement 00:05:00 Leveraging Hashtags to increase your tweets visibility 00:04:00 What are twitter polls & how do you use them 00:05:00 A powerful trick to acquire customers on twitter 00:03:00 How to get followers retweet your post 00:03:00 How to embed a twitter button to your website or post 00:02:00 Twitter analytics 00:04:00 Module 10: Facebook Set your Facebook page 00:05:00 Facebook Icon, cover image & description 00:06:00 How to get your first page likes 00:08:00 Discover how to increase your page likes 00:02:00 How to manage multiple Facebook page 00:03:00 Facebook comments 00:05:00 Leveraging Facebook groups 00:05:00 Facebook Autoposting 00:04:00 Run a competition 00:06:00 Facebook Ads 00:04:00 How to get best out of Facebook 00:15:00 Facebook pixel & Re-marketing 00:04:00 Module 11: Instagram How to setup a Instagram business profile 00:07:00 Set up Instagram bio & profile image 00:03:00 Leveraging Instagram accounts 00:06:00 A simple way to create free content on Instagram 00:05:00 Secret of hashtags on Instagram 00:04:00 Reposting Instagram App 00:04:00 How to get genuine Instagram followers 00:05:00 Discover how to grow your business through Instagram stories 00:05:00 How to get your posts reposted on Instgram by influncers 00:05:00 Module 12: Mobile App A quick way to do App store marketing research 00:16:00 How to discover the estimate size of your market 00:08:00 Discover the best ways to promote your app 00:15:00 App installs via Facebook Ads 00:16:00 App installs via Google Ads 00:14:00 How to make money from your app 00:08:00 How to optimise your App store listing ? 00:14:00 Discover growth hacking techniques for App downloads 00:09:00 Techniques to get to the top of App store ranking 00:07:00

This course aims to prepare individuals for the AWS Certified Solutions Architect Associate exam. It covers essential AWS services, cloud architecture design, deployment strategies, and best practices for managing various AWS components. Learning Outcomes: Understand the fundamental concepts of AWS Cloud Services and their application in real-world scenarios. Design and implement AWS Storage and Virtual Private Cloud (VPC) solutions. Learn how to design, implement, and manage Compute Services effectively. Master Identity and Access Management (IAM) and its best practices for secure access control. Explore Auto Scaling Solutions and Virtual Network Services to optimize AWS infrastructure. Gain proficiency in deploying applications and databases on AWS. Discover additional AWS services and their integration for comprehensive cloud solutions. Develop insights into achieving operational excellence with AWS services. Why buy this AWS Certified Solutions Architect Associate Preparation? 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 AWS Certified Solutions Architect Associate Preparation 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 AWS Certified Solutions Architect Associate Preparation 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 AWS Certified Solutions Architect Associate Preparation does not require you to have any prior qualifications or experience. You can just enrol and start learning.This AWS Certified Solutions Architect Associate Preparation 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 AWS Certified Solutions Architect Associate Preparation is a great way for you to gain multiple skills from the comfort of your home. Course Curriculum Section 01: Introduction Introduction 00:03:00 Section 02: Exam Tips and Tricks What is AWS? 00:02:00 Why use AWS? 00:03:00 How to Get Started with AWS 00:04:00 AWS Certifications 00:04:00 Preparation Resources 00:02:00 Benefits of Certification 00:02:00 AWS CSA-A Overview 00:04:00 What's New on the 2020 Updated Exam? 00:03:00 AWS CSA-A Exam Objectives 00:06:00 The Four Key Areas (Compute, Networking, Storage, and Databases) 00:04:00 Master the Knowledge Areas 00:02:00 Use the System 00:05:00 Take Notes 00:03:00 Be Mentally and Physically Prepared 00:04:00 Take the Exam 00:04:00 Section 03: AWS Cloud Services Overview Cloud Computing Defined 00:08:00 Benefits of Cloud Computing 00:10:00 Cloud Computing Models 00:07:00 History 00:07:00 Platform 00:06:00 Services, Part 1 00:10:00 Services, Part 2 00:08:00 Security and Compliance 00:07:00 Regions and Availability 00:06:00 Section 04: AWS Storage Design Storage Services 00:07:00 S3 Storage Class 00:07:00 S3 Terminology 00:09:00 S3 Advanced Features 00:08:00 Creating S3 Buckets Lab 00:08:00 S3 Bucket Properties 00:08:00 S3 Managing Objects Lab 00:11:00 Glacier 00:07:00 Setting up a Glacier Vault Lab 00:08:00 S3 and Tape Gateway 00:06:00 S3 Enhanced Features 00:08:00 Elastic Block Store (EBS) 00:08:00 Creating EBS Volumes Lab 00:07:00 Elastic File System (EFS) 00:07:00 Creating an EFS File System Lab 00:07:00 EFS and PrivateLink 00:03:00 Intro to Amazon FSx 00:06:00 Hands-on with FSx 00:06:00 Integrating on-Premises Storage 00:07:00 Storage Access Security Lab 00:10:00 Storage Performance 00:08:00 Section 05: Virtual Private Cloud (VPC) Virtual Private Cloud (VPC) Overview 00:10:00 Creating a VPC Lab 00:11:00 Configuring DHCP Options Lab 00:04:00 Elastic IP Addresses 00:07:00 Elastic Network Interfaces (ENIs) 00:05:00 Endpoints 00:07:00 VPC Peering 00:08:00 Creating a VPC Peering Connection Lab 00:10:00 Security Groups Overview 00:07:00 Network Address Translation (NAT) 00:11:00 Gateways (VPGs and CGWs) 00:08:00 VPN Configuration Option 00:04:00 Section 06: Compute Services Design EC2 Overview 00:11:00 EC2 Instance Types 00:11:00 EC2 Pricing 00:13:00 EBS and EC2 00:05:00 Section 07: Compute Services Implementation Launching an EC2 Linux Instance Lab 00:13:00 Configuring an EC2 Linux Instance Lab 00:08:00 Setting up an EC2 Windows Instance Lab 00:12:00 Shared Tenancy 00:05:00 Dedicated Hosts 00:08:00 Dedicated Instances 00:06:00 AMI Virtualization 00:12:00 Section 08: Compute Services Management Instance Management 00:09:00 Connecting to Instances Lab 00:09:00 Working with Security Groups 00:10:00 Working with Security Groups Lab 00:10:00 Advanced EC2 Management 00:06:00 AWS Batch 00:06:00 Elastic Container Service (ECS) 00:08:00 Elastic Beanstalk Environment 00:11:00 Section 09: Identity and Access Management (IAM) Identity and Access Management (IAM) Overview 00:07:00 Principals 00:10:00 Root User 00:06:00 Authentication 00:06:00 Authorization Policies 00:13:00 Multi-Factor Authentication 00:08:00 Key Rotation 00:10:00 Multiple Permissions 00:06:00 AWS Compliance Program 00:07:00 AWS Security Hub 00:06:00 Shared Responsibility Models 00:06:00 Section 10: IAM Best Practices User Accounts 00:11:00 Password Policies 00:09:00 Credential Rotation 00:06:00 Principle of Least Privilege 00:05:00 IAM Roles 00:08:00 Policy Conditions 00:08:00 CloudTrail 00:12:00 Section 11: Auto Scaling Solutions Auto Scaling Overview 00:06:00 Auto Scaling Groups 00:04:00 Termination Policies 00:07:00 Auto Scaling Configuration Lab 00:13:00 Launch Methods 00:04:00 Load Balancer Concepts 00:08:00 Elastic Load Balancing (ELB) 00:10:00 Section 12: Virtual Network Services DNS 00:14:00 Configuring DNS Lab 00:07:00 Configuring Route 53 Lab 00:13:00 Configuring ACLs and NACLs Lab 00:09:00 Flow Logs 00:07:00 Section 13: AWS Application Deployment Application and Deployment Services 00:04:00 Lambda 00:06:00 API Gateway 00:09:00 Kinesis 00:06:00 Kinesis Data Streams and Firehose 00:06:00 Kinesis Data Analytics 00:04:00 Reference Architectures 00:06:00 CloudFront 00:10:00 Web Application Firewall (WAF) 00:09:00 Simple Queue Service (SQS) 00:10:00 Simple Notification Service (SNS) 00:08:00 Simple Workflow (SWF) 00:07:00 Step Functions 00:05:00 OpsWorks 00:08:00 Cognito 00:04:00 Elastic MapReduce (EMR) 00:05:00 CloudFormation 00:10:00 CloudFormation Properties 00:03:00 CloudWatch 00:06:00 Trusted Advisor 00:07:00 Organizations 00:09:00 Section 14: AWS Database Design Database Types 00:08:00 Relational Databases 00:08:00 Database Hosting Methods 00:05:00 High Availability Solutions 00:06:00 Scalability Solutions 00:06:00 Database Security 00:08:00 Aurora 00:06:00 Redshift 00:11:00 DynamoDB 00:10:00 Section 15: Database Deployment DynamoDB Tables Lab 00:08:00 MySQL Lab 00:13:00 Configuration Lab 00:13:00 Backups Lab 00:04:00 Restore Lab 00:04:00 Snapshot Lab 00:08:00 Monitoring Lab 00:06:00 Section 16: Additional AWS Services Media Content Delivery 00:13:00 Desktop and Appstreaming 00:06:00 ElastiCache 00:05:00 Security Services Lab 00:12:00 Analytics Engines 00:11:00 Development Operations (DevOps) 00:12:00 AWS Solutions 00:05:00 AWS Transit Gateway 00:03:00 AWS Backup 00:04:00 AWS Cost Explorer 00:04:00 Section 17: Operational Excellence with AWS The Operational Excellence Process 00:08:00 Widget Makers Scenario 00:06:00 Resilient Design 00:08:00 Resilient Design Scenario 00:05:00 Performant Design 00:09:00 Performant Design Scenario 00:06:00 Secure Design 00:08:00 Secure Design Scenario 00:05:00 Cost Optimization 00:07:00 Cost Optimization Scenario 00:05:00 General Best Practices 00:07:00

Are you ready to be at the helm, steering the ship into a realm where data is the new gold? In the infinite world of data, where information spirals at breakneck speed, lies a universe rich in potential and discovery: the domain of Data Science and Visualisation. This 'Certificate in Data Science and Visualisation with Machine Learning at QLS Level 3' course unravels the wonders of extracting meaningful insights using Python, the worldwide leading language of data experts. Harnessing the strength of Python, you'll delve deep into data analysis, experience the finesse of visualisation tools, and master the art of Machine Learning. The need to understand, interpret, and act on this data has become paramount, with vast amounts of data increasing the digital sphere. Envision a canvas where raw numbers are transformed into visually compelling stories, and machine learning models foretell future trends. This course provides a meticulous pathway for anyone eager to learn the data representation paradigms backed by Python's robust libraries. Dive into a curriculum rich with analytical explorations, visual artistry, and machine learning predictions. Learning Outcomes Understanding the foundations and functionalities of Python, focusing on its application in data science. Applying various Python libraries like NumPy and Pandas for effective data analysis. Demonstrating proficiency in creating detailed visual narratives using tools like matplotlib, Seaborn, and Plotly. Implementing Machine Learning algorithms in Python using scikit-learn, ranging from regression models to clustering techniques. Designing and executing a holistic data analysis and visualisation project, encapsulating all learned techniques. Exploring advanced topics, encompassing recommender systems and natural language processing with Python. Attaining the confidence to independently analyse complex data sets and translate them into actionable insights.   Video Playerhttps://studyhub.org.uk/wp-content/uploads/2021/03/Data-Science-and-Visualisation-with-Machine-Learning.mp400:0000:0000:00Use Up/Down Arrow keys to increase or decrease volume. Why buy this Certificate in Data Science and Visualisation with Machine Learning at QLS Level 3? Unlimited access to the course for a lifetime. Opportunity to earn a certificate accredited by the CPD Quality Standards after completing this course. Structured lesson planning in line with industry standards. Immerse yourself in innovative and captivating course materials and activities. Assessments are designed to evaluate advanced cognitive abilities and skill proficiency. Flexibility to complete the Certificate in Data Science and Visualisation with Machine Learning at QLS Level 3 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. Who is this Certificate in Data Science and Visualisation with Machine Learning at QLS Level 3 course for? Aspiring data scientists aiming to harness the power of Python. Researchers keen to enrich their analytical and visualisation skills. Analysts aiming to add machine learning to their toolkit. Developers striving to integrate data analytics into applications. Business professionals desiring data-driven decision-making capabilities. Career path Data Scientist: £55,000 - £85,000 Per Annum Machine Learning Engineer: £60,000 - £90,000 Per Annum Data Analyst: £30,000 - £50,000 Per Annum Data Visualisation Specialist: £45,000 - £70,000 Per Annum Natural Language Processing Specialist: £65,000 - £95,000 Per Annum Business Intelligence Developer: £40,000 - £65,000 Per Annum Prerequisites This Certificate in Data Science and Visualisation with Machine Learning at QLS Level 3 does not require you to have any prior qualifications or experience. You can just enrol and start learning. This Certificate in Data Science and Visualisation with Machine Learning at QLS Level 3 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. Endorsed Certificate of Achievement from the Quality Licence Scheme Learners will be able to achieve an endorsed certificate after completing the course as proof of their achievement. You can order the endorsed certificate for only £85 to be delivered to your home by post. For international students, there is an additional postage charge of £10. Endorsement The Quality Licence Scheme (QLS) has endorsed this course for its high-quality, non-regulated provision and training programmes. The QLS is a UK-based organisation that sets standards for non-regulated training and learning. This endorsement means that the course has been reviewed and approved by the QLS and meets the highest quality standards. Please Note: Studyhub is a Compliance Central approved resale partner for Quality Licence Scheme Endorsed courses. Course Curriculum Welcome, Course Introduction & overview, and Environment set-up Welcome & Course Overview 00:07:00 Set-up the Environment for the Course (lecture 1) 00:09:00 Set-up the Environment for the Course (lecture 2) 00:25:00 Two other options to setup environment 00:04:00 Python Essentials Python data types Part 1 00:21:00 Python Data Types Part 2 00:15:00 Loops, List Comprehension, Functions, Lambda Expression, Map and Filter (Part 1) 00:16:00 Loops, List Comprehension, Functions, Lambda Expression, Map and Filter (Part 2) 00:20:00 Python Essentials Exercises Overview 00:02:00 Python Essentials Exercises Solutions 00:22:00 Python for Data Analysis using NumPy What is Numpy? A brief introduction and installation instructions. 00:03:00 NumPy Essentials - NumPy arrays, built-in methods, array methods and attributes. 00:28:00 NumPy Essentials - Indexing, slicing, broadcasting & boolean masking 00:26:00 NumPy Essentials - Arithmetic Operations & Universal Functions 00:07:00 NumPy Essentials Exercises Overview 00:02:00 NumPy Essentials Exercises Solutions 00:25:00 Python for Data Analysis using Pandas What is pandas? A brief introduction and installation instructions. 00:02:00 Pandas Introduction 00:02:00 Pandas Essentials - Pandas Data Structures - Series 00:20:00 Pandas Essentials - Pandas Data Structures - DataFrame 00:30:00 Pandas Essentials - Handling Missing Data 00:12:00 Pandas Essentials - Data Wrangling - Combining, merging, joining 00:20:00 Pandas Essentials - Groupby 00:10:00 Pandas Essentials - Useful Methods and Operations 00:26:00 Pandas Essentials - Project 1 (Overview) Customer Purchases Data 00:08:00 Pandas Essentials - Project 1 (Solutions) Customer Purchases Data 00:31:00 Pandas Essentials - Project 2 (Overview) Chicago Payroll Data 00:04:00 Pandas Essentials - Project 2 (Solutions Part 1) Chicago Payroll Data 00:18:00 Python for Data Visualization using matplotlib Matplotlib Essentials (Part 1) - Basic Plotting & Object Oriented Approach 00:13:00 Matplotlib Essentials (Part 2) - Basic Plotting & Object Oriented Approach 00:22:00 Matplotlib Essentials (Part 3) - Basic Plotting & Object Oriented Approach 00:22:00 Matplotlib Essentials - Exercises Overview 00:06:00 Matplotlib Essentials - Exercises Solutions 00:21:00 Python for Data Visualization using Seaborn Seaborn - Introduction & Installation 00:04:00 Seaborn - Distribution Plots 00:25:00 Seaborn - Categorical Plots (Part 1) 00:21:00 Seaborn - Categorical Plots (Part 2) 00:16:00 Seborn-Axis Grids 00:25:00 Seaborn - Matrix Plots 00:13:00 Seaborn - Regression Plots 00:11:00 Seaborn - Controlling Figure Aesthetics 00:10:00 Seaborn - Exercises Overview 00:04:00 Seaborn - Exercise Solutions 00:19:00 Python for Data Visualization using pandas Pandas Built-in Data Visualization 00:34:00 Pandas Data Visualization Exercises Overview 00:03:00 Panda Data Visualization Exercises Solutions 00:13:00 Python for interactive & geographical plotting using Plotly and Cufflinks Plotly & Cufflinks - Interactive & Geographical Plotting (Part 1) 00:19:00 Plotly & Cufflinks - Interactive & Geographical Plotting (Part 2) 00:14:00 Plotly & Cufflinks - Interactive & Geographical Plotting Exercises (Overview) 00:11:00 Plotly & Cufflinks - Interactive & Geographical Plotting Exercises (Solutions) 00:37:00 Capstone Project - Python for Data Analysis & Visualization Project 1 - Oil vs Banks Stock Price during recession (Overview) 00:15:00 Project 1 - Oil vs Banks Stock Price during recession (Solutions Part 1) 00:18:00 Project 1 - Oil vs Banks Stock Price during recession (Solutions Part 2) 00:18:00 Project 1 - Oil vs Banks Stock Price during recession (Solutions Part 3) 00:17:00 Project 2 (Optional) - Emergency Calls from Montgomery County, PA (Overview) 00:03:00 Python for Machine Learning (ML) - scikit-learn - Linear Regression Model Introduction to ML - What, Why and Types.. 00:15:00 Theory Lecture on Linear Regression Model, No Free Lunch, Bias Variance Tradeoff 00:15:00 scikit-learn - Linear Regression Model - Hands-on (Part 1) 00:17:00 scikit-learn - Linear Regression Model Hands-on (Part 2) 00:19:00 Good to know! How to save and load your trained Machine Learning Model! 00:01:00 scikit-learn - Linear Regression Model (Insurance Data Project Overview) 00:08:00 scikit-learn - Linear Regression Model (Insurance Data Project Solutions) 00:30:00 Python for Machine Learning - scikit-learn - Logistic Regression Model Theory: Logistic Regression, conf. mat., TP, TN, Accuracy, Specificityetc. 00:10:00 scikit-learn - Logistic Regression Model - Hands-on (Part 1) 00:17:00 scikit-learn - Logistic Regression Model - Hands-on (Part 2) 00:20:00 scikit-learn - Logistic Regression Model - Hands-on (Part 3) 00:11:00 scikit-learn - Logistic Regression Model - Hands-on (Project Overview) 00:05:00 scikit-learn - Logistic Regression Model - Hands-on (Project Solutions) 00:15:00 Python for Machine Learning - scikit-learn - K Nearest Neighbors Theory: K Nearest Neighbors, Curse of dimensionality . 00:08:00 scikit-learn - K Nearest Neighbors - Hands-on 00:25:00 scikt-learn - K Nearest Neighbors (Project Overview) 00:04:00 scikit-learn - K Nearest Neighbors (Project Solutions) 00:14:00 Python for Machine Learning - scikit-learn - Decision Tree and Random Forests Theory: D-Tree & Random Forests, splitting, Entropy, IG, Bootstrap, Bagging. 00:18:00 scikit-learn - Decision Tree and Random Forests - Hands-on (Part 1) 00:19:00 scikit-learn - Decision Tree and Random Forests (Project Overview) 00:05:00 scikit-learn - Decision Tree and Random Forests (Project Solutions) 00:15:00 Python for Machine Learning - scikit-learn -Support Vector Machines (SVMs) Support Vector Machines (SVMs) - (Theory Lecture) 00:07:00 scikit-learn - Support Vector Machines - Hands-on (SVMs) 00:30:00 scikit-learn - Support Vector Machines (Project 1 Overview) 00:07:00 scikit-learn - Support Vector Machines (Project 1 Solutions) 00:20:00 scikit-learn - Support Vector Machines (Optional Project 2 - Overview) 00:02:00 Python for Machine Learning - scikit-learn - K Means Clustering Theory: K Means Clustering, Elbow method .. 00:11:00 scikit-learn - K Means Clustering - Hands-on 00:23:00 scikit-learn - K Means Clustering (Project Overview) 00:07:00 scikit-learn - K Means Clustering (Project Solutions) 00:22:00 Python for Machine Learning - scikit-learn - Principal Component Analysis (PCA) Theory: Principal Component Analysis (PCA) 00:09:00 scikit-learn - Principal Component Analysis (PCA) - Hands-on 00:22:00 scikit-learn - Principal Component Analysis (PCA) - (Project Overview) 00:02:00 scikit-learn - Principal Component Analysis (PCA) - (Project Solutions) 00:17:00 Recommender Systems with Python - (Additional Topic) Theory: Recommender Systems their Types and Importance 00:06:00 Python for Recommender Systems - Hands-on (Part 1) 00:18:00 Python for Recommender Systems - - Hands-on (Part 2) 00:19:00 Python for Natural Language Processing (NLP) - NLTK - (Additional Topic) Natural Language Processing (NLP) - (Theory Lecture) 00:13:00 NLTK - NLP-Challenges, Data Sources, Data Processing .. 00:13:00 NLTK - Feature Engineering and Text Preprocessing in Natural Language Processing 00:19:00 NLTK - NLP - Tokenization, Text Normalization, Vectorization, BoW. 00:19:00 NLTK - BoW, TF-IDF, Machine Learning, Training & Evaluation, Naive Bayes 00:13:00 NLTK - NLP - Pipeline feature to assemble several steps for cross-validation 00:09:00 Resources Resources - Data Science and Visualisation with Machine Learning 00:00:00 Order your QLS Endorsed Certificate Order your QLS Endorsed Certificate 00:00:00

The Statistical Analysis Training Course is pivotal in the modern world, offering essential skills that are increasingly demanded across various industries. As businesses and organizations generate vast amounts of data, the ability to analyze and interpret this data becomes crucial. Learning from The Statistical Analysis Training Course equips individuals with expertise in key areas such as probability, hypothesis testing, regression analysis, and predictive analytics, enhancing their employability. In the UK, proficiency gained from this Statistical Analysis Training course can significantly boost job opportunities, with data analysts and statisticians earning an average salary of £35,000 to £50,000 annually. The demand for statistical analysis skills is on the rise, with the sector experiencing a growth rate of 33% over the past five years. Advantages of the Statistical Analysis Training course include a comprehensive understanding of both foundational and advanced statistical concepts, which are integral in roles across finance, healthcare, marketing, and technology. The Statistical Analysis Training Course ensures that learners are well-versed in modern analytical techniques, making them valuable assets in a data-driven economy. As the importance of data analytics continues to grow, so does the value of this training, making it an indispensable tool for career advancement. Key Features: CPD Certified Statistical Analysis Course Free Certificate Developed by Specialist Lifetime Access Course Curriculum: Statistical Analysis Training Module 01: The Realm of Statistics Module 02: Basic Statistical Terms Module 03: The Center of the Data Module 04: Data Variability Module 05: Binomial and Normal Distributions Module 06: Introduction to Probability Module 07: Estimates and Intervals Module 08: Hypothesis Testing Module 09: Regression Analysis Module 10: Algorithms, Analytics and Predictions Module 11: Learning From Experience: The Bayesian Way Module 12: Doing Statistics: The Wrong Way Module 13: How We Can Do Statistics Better Learning Outcomes: Grasp fundamental statistical concepts for data analysis proficiency. Understand measures of central tendency and dispersion in datasets. Apply probability theory to make informed statistical decisions. Utilize hypothesis testing techniques to draw meaningful conclusions. Master regression analysis for predictive modelling and trend identification. Embrace Bayesian methods and enhance statistical inference capabilities. CPD 10 CPD hours / points Accredited by CPD Quality Standards Who is this course for? This Statistical Analysis Training course is accessible to anyone eager to learn more about this topic. Through this course, you'll gain a solid understanding of Statistical Analysis Training. Moreover, this course is ideal for: Aspiring data analysts seeking statistical foundations for career advancement. Professionals in research roles aiming to refine statistical analysis skills. Students pursuing degrees in mathematics, economics, or related disciplines. Business professionals looking to leverage data-driven insights for strategic decisions. Anyone interested in enhancing statistical literacy and analytical reasoning abilities. Requirements There are no requirements needed to enrol into this Statistical Analysis Training course. We welcome individuals from all backgrounds and levels of experience to enrol into this Statistical Analysis Training course. Career path After finishing this Statistical Analysis Training course you will have multiple job opportunities waiting for you. Some of the following Job sectors of Statistical Analysis Training are: Data Analyst - £30K to £45K/year. Statistician - £35K to £50K/year. Market Research Analyst - £25K to £40K/year. Business Intelligence Analyst - £35K to £55K/year. Healthcare Data Analyst - £30K to £50K/year. Certificates Digital certificate Digital certificate - Included Certificate of Completion Digital certificate - Included Will be downloadable when all lectures have been completed.

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