2076 Analytics courses

Discover Microsoft Fabric's architecture, master Data Engineering with OneLake and Spark, and elevate your skills in data warehousing and real-time processing. Compare SQL and KQL for better insights, and improve storytelling using Power BI. Finally, you will end with practical data science techniques and data management methods.

Are you someone wishing to learn the skills to analyze data professionally using Power BI? Do you want to learn to create impressive reports? Then this is the right course for you! Learn the complete workflow in Power BI from A-to-Z and advanced analytics with DAX-calculated columns and measures, forecasting, and advanced analytics.

The customer journey is changing faster than ever before. Can you keep up? Our brand-new Search Marketing course is here to get you ready – with the chance to learn directly from top SEO expert Neil Patel and his team. Course Overview The customer journey is changing faster than ever before. Can you keep up? Our brand-new Search Marketing course is here to get you ready – with the chance to learn directly from top SEO expert Neil Patel and his team. Did you know that search marketing is currently one of the most in-demand roles? And that growth isn’t going to stop anytime soon. Develop true Search Marketing expertise for where search is now and where it’s going Program learning outcomes and content: What Will I Learn? Develop the skills to work in search right now. Learn about search engine optimization, paid search, and digital display advertising, along with the latest platforms including Google Ads, Microsoft Ads (Bing Ads), and Google Analytics 4. Study using a dynamic mix of interactive lessons, videos, and downloadable tools, along with live sessions on the latest trends and channels. You’ll be awarded with a DMI search marketing certification that’s recognized globally, along with a completion badge from Neil Patel. Course Content: Introduction to Search Marketing: Being found in the right place at the right time may look effortless but it’s an art. You’re going to need lots of key concepts, tools and tricks. Explore how the core search elements work together to drive targeted traffic that converts into sales. • Search Marketing • SEO & Paid Search principles • Demand generation • Analytics & reporting • Data visualization SEO Setup & Content: The search engine can feel all seeing, all knowing but it can be won over. SEO is the way to come out on top. Understanding the algorithms and ranking factors puts you in the driver’s seat. But that’s not all. What does it take to really engage people? Content that speaks to them. Find out what your audiences are looking for, create the content they care about, and then serve it to them where they are. The key to a big, visionary content strategy that works. • Setting SEO objectives • Keyword research • Creating content • On-page optimization • Content scheduling Optimizing SEO: Everyone wants to get their website in front of more people. The right people. That’s where search engine optimization comes in. There’s a lot to get a handle on with SEO, all working together to make your content more visible. Pick the quick wins, gather momentum, or optimize for a better return-on-investment. • SEO for eCommerce • Backlinking for authority • Local & international optimization • Off-page optimization Paid Search Fundamentals: So you know how to grow those organic searches and it’s going well. But you want to succeed faster. Cut right to the chase with paid search. Learn the fundamentals of PPC advertising and how it can work to promote your business. • Paid search concepts • Ads & landing pages • Keywords • Creating a paid search campaign Paid Search Campaigns: Now that you know the basics, it’s time to start running your campaigns. Use PPC advertising to boost your visibility. Discover how to measure and optimize your campaigns to get the best out of every single click. • Managing the campaign budget • Optimizing campaigns • Reporting on paid search Demand Generation: Capture interest wherever people are in their journey. Whether they’re a first time visitor, just getting to know you or coming back again and again. Demand generation gives you the tactics to drive awareness and long-term engagement. Sure, it takes time but it’s worth the payoff. • Demand generation campaigns • Outbound channels & ad formats • Campaign targeting & bidding • Optimizing your campaign • Involving display & video advertising Search Analytics: Search analytics can feel a bit like having a superpower. There’s so much you can know about what your target market is doing, what they want, how they speak. All of this data is at your fingertips, you just need to know how to use it. So let’s dive in. Plus with the shift to Google Analytics 4 daunting many businesses, we’ll get you set for success on the new interface. • Analytics fundamentals • Monitoring campaigns • Introduction to GA4 • Configuring Google Analytics • Conversion rate optimization Data& Data Visualization: Data gives us so many new insights and opportunities to work with. But we’re always looking for ways to make data more engaging, especially in a digital world where we have so much of it. Tell the story of what you’ve discovered with data visualization. It helps to communicate more effectively and bring everyone along for the journey. • Turning data into actions • Ways of visualizing data • Forecasting search performance Search Strategy - Research & Planning: So you have tools, techniques, and practiced skills. You’ve learned all of the stepping stones behind making search work hard. Now is your chance to get an action plan together. A strategic, focused plan that really delivers. One backed up by research and structured by set objectives. • Planning a search strategy • Research for search campaigns • Setting objectives for search Search Strategy 2 - Execution & Optimization It’s time to put everything you’ve learned into practice with a high-performing search marketing strategy. You have the skills, you’ve done the research, your action plan is prepared. Let’s execute the strategy and make it a reality. Exciting, isn’t it? • Omnichannel search approach • Adapting to change • Evaluating search strategies • Long term performance DURATION 8-10 Weeks WHATS INCLUDED Course Material Case Study Experienced Lecturer Refreshments Certificate

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Data-Informed Decision Making in Projects: On-Demand Project management professionals constantly need to make project decisions that could be decisive for the outcome of their projects but often do not have sufficient information available to confidently make decisions. As a result, projects are increasingly falling short of delivering on their promises, requiring, more than ever, a data-informed approach to decision-making in the area of project delivery and management. The rapid growth of data comes with various challenges though, which consequently needs consideration of various critical factors for a successful implementation of a data-informed decision-making process in organizations and projects. What You Will Learn At the end of this program, you will be able to: Describe and understand the relevant methods and techniques to identify, acquire, and analyze relevant data points for decision making in projects Articulate analytical questions to focus on the real problems Identify potential shortfalls and gaps in project decision-making and apply actions to mitigate them Introduction to Data-Informed Decision Making The different types of decisions in projects Data-informed decision-making framework Shortcomings with traditional decision-making models Understanding the value of data for project delivery Issues in project management and how data can help solve them The DIKW Pyramid (Data, information, knowledge, wisdom) Types of data in projects Applying Data Analytics Understanding Data Analytics Levels of Data Analytics Data-Informed vs. Data-Driven Challenges and How to Address Them Project data availability and collection Data quality Behavioral blockers and bias Skills and Techniques Data literacy and data fluency Communicating for informed decision-making Monitoring and evaluating project decisions Implementing Data-Informed Decision Making Decision-making strategy and governance Project data culture Continuously improving decision quality Future Outlook for Decision-Making in Projects Data and AI Digital Decisioning

Data-Informed Decision Making in Projects: On-Demand Project management professionals constantly need to make project decisions that could be decisive for the outcome of their projects but often do not have sufficient information available to confidently make decisions. As a result, projects are increasingly falling short of delivering on their promises, requiring, more than ever, a data-informed approach to decision-making in the area of project delivery and management. The rapid growth of data comes with various challenges though, which consequently needs consideration of various critical factors for a successful implementation of a data-informed decision-making process in organizations and projects. What You Will Learn At the end of this program, you will be able to: Describe and understand the relevant methods and techniques to identify, acquire, and analyze relevant data points for decision making in projects Articulate analytical questions to focus on the real problems Identify potential shortfalls and gaps in project decision-making and apply actions to mitigate them Introduction to Data-Informed Decision Making The different types of decisions in projects Data-informed decision-making framework Shortcomings with traditional decision-making models Understanding the value of data for project delivery Issues in project management and how data can help solve them The DIKW Pyramid (Data, information, knowledge, wisdom) Types of data in projects Applying Data Analytics Understanding Data Analytics Levels of Data Analytics Data-Informed vs. Data-Driven Challenges and How to Address Them Project data availability and collection Data quality Behavioral blockers and bias Skills and Techniques Data literacy and data fluency Communicating for informed decision-making Monitoring and evaluating project decisions Implementing Data-Informed Decision Making Decision-making strategy and governance Project data culture Continuously improving decision quality Future Outlook for Decision-Making in Projects Data and AI Digital Decisioning

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Accelerate Your Data Analyst Career: Fast-Track Program with Exams, TOTUM Card & 5-Year Support. Enrol Today! Study methodOnline Duration9 months · Self-paced Access to content5 years CertificationsCompTIA IT Fundamentals CertificationCertified Data Analysis ProfessionalMicrosoft Azure Data FundamentalsPearson IT Specialist PythonPearson IT Specialist AI (Artificial Intelligence)Pearson IT Specialist DatabasesMicrosoft Office Specialist Excel CertificationMicrosoft Power BI Data Analyst Associate (PL-300)Certificates Official CompTIA Certification - Free Additional info Exam(s) / assessment(s) is included in price Tutor is available to students TOTUM card included in price Job guarantee programme is included in this course Overview Learn the most in-demand digital skills in the world today with the Nuyew Tech Academy A Data and Business Intelligence Analyst gathers, cleans, and studies data sets to help solve problems. Gain the job-ready skills for an entry-level Data and Business Intelligence Analyst role and position yourself competitively in the thriving job market for data and business analysts, which will see a 20% growth until 2028 and beyond. Certifications CompTIA IT Fundamentals Certification Certified Data Analysis Professional Awarded by CompTIA Microsoft Azure Data Fundamentals Microsoft Office Specialist Excel Certification Microsoft Power BI Data Analyst Associate (PL-300) Awarded by Microsoft Pearson IT Specialist Python Pearson IT Specialist AI (Artificial Intelligence) Pearson IT Specialist Databases Awarded by Pearson Description With a national shortage of Data and Business Intelligence Analysts, starting salaries of up to £25,000 per annum (average UK Salary £60,000) and amazing future employed and self-employed career prospects, take the next step today with our Fast Track Data and Business Intelligence Analyst Programme. What you can expect from our Fast Track Programme: World Class Education Energetic and unlimited 24/7 Student Support Real, tangible Career Outcomes 5 Years Career Support What our programme includes: Industry Recognised Qualifications CompTIA ITF+ (IT Fundamentals) CompTIA A+ CompTIA Network+ CompTIA Security+ CompTIA Data+ Exams Includes all Exams and Unlimited Re-Sits 5 Years Career Support Guarantee As part of our unique Support Guarantee, our Career Support Team will assist you with: CV writing Expert careers advice Interview preparation Identifying and applying for the best opportunities in your area As a student in the Nuyew Tech Academy you will also be given exclusive access to our Career Skills Academy which includes advanced courses on Employability, CV Preparation, Interview Skills and Technique and everything else you need to get ready for your new Career. Who is this course for? This course is open to anyone interested in pursuing a Career in Data Analytics and Business Intelligence. Our Foundation Level provides the flexibility for us to accommodate students with any level of previous knowledge and experience. Requirements This course is open to all and has no pre-requisites All you need is a passion for technology and a strong desire to succeed. Career path Our programme is designed to enable you to achieve an Entry Level/Helpdesk role during training (£18k-£24K) ensuring that you also have the vital work experience required to enter the Tech Industry at a higher level (Av Salary £60K).

Duration 3 Days 18 CPD hours This course is intended for The audience for this course are data professionals and business intelligence professionals who want to learn how to accurately perform data analysis using Power BI. This course is also targeted toward those individuals who develop reports that visualize data from the data platform technologies that exist on both in the cloud and on-premises. This course covers the various methods and best practices that are in line with business and technical requirements for modeling, visualizing, and analyzing data with Power BI. The course will show how to access and process data from a range of data sources including both relational and non-relational sources. Finally, this course will also discuss how to manage and deploy reports and dashboards for sharing and content distribution. Prerequisites Understanding core data concepts. Knowledge of working with relational data in the cloud. Knowledge of working with non-relational data in the cloud. Knowledge of data analysis and visualization concepts. DP-900T00 Microsoft Azure Data Fundamentals is recommended 1 - Discover data analysis Overview of data analysis Roles in data Tasks of a data analyst 2 - Get started building with Power BI Use Power BI Building blocks of Power BI Tour and use the Power BI service 3 - Get data in Power BI Get data from files Get data from relational data sources Create dynamic reports with parameters Get data from a NoSQL database Get data from online services Select a storage mode Get data from Azure Analysis Services Fix performance issues Resolve data import errors 4 - Clean, transform, and load data in Power BI Shape the initial data Simplify the data structure Evaluate and change column data types Combine multiple tables into a single table Profile data in Power BI Use Advanced Editor to modify M code 5 - Design a semantic model in Power BI Work with tables Create a date table Work with dimensions Define data granularity Work with relationships and cardinality Resolve modeling challenges 6 - Add measures to Power BI Desktop models Create simple measures Create compound measures Create quick measures Compare calculated columns with measures 7 - Add calculated tables and columns to Power BI Desktop models Create calculated columns Learn about row context Choose a technique to add a column 8 - Use DAX time intelligence functions in Power BI Desktop models Use DAX time intelligence functions Additional time intelligence calculations 9 - Optimize a model for performance in Power BI Review performance of measures, relationships, and visuals Use variables to improve performance and troubleshooting Reduce cardinality Optimize DirectQuery models with table level storage Create and manage aggregations 10 - Design Power BI reports Design the analytical report layout Design visually appealing reports Report objects Select report visuals Select report visuals to suit the report layout Format and configure visualizations Work with key performance indicators 11 - Configure Power BI report filters Apply filters to the report structure Apply filters with slicers Design reports with advanced filtering techniques Consumption-time filtering Select report filter techniques Case study - Configure report filters based on feedback 12 - Enhance Power BI report designs for the user experience Design reports to show details Design reports to highlight values Design reports that behave like apps Work with bookmarks Design reports for navigation Work with visual headers Design reports with built-in assistance Tune report performance Optimize reports for mobile use 13 - Perform analytics in Power BI Explore statistical summary Identify outliers with Power BI visuals Group and bin data for analysis Apply clustering techniques Conduct time series analysis Use the Analyze feature Create what-if parameters Use specialized visuals 14 - Create and manage workspaces in Power BI Distribute a report or dashboard Monitor usage and performance Recommend a development life cycle strategy Troubleshoot data by viewing its lineage Configure data protection 15 - Manage semantic models in Power BI Use a Power BI gateway to connect to on-premises data sources Configure a semantic model scheduled refresh Configure incremental refresh settings Manage and promote semantic models Troubleshoot service connectivity Boost performance with query caching (Premium) 16 - Create dashboards in Power BI Configure data alerts Explore data by asking questions Review Quick insights Add a dashboard theme Pin a live report page to a dashboard Configure a real-time dashboard Set mobile view 17 - Implement row-level security Configure row-level security with the static method Configure row-level security with the dynamic method Additional course details: Nexus Humans PL-300T00: Microsoft Power BI Data Analyst 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 PL-300T00: Microsoft Power BI Data Analyst 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.