2901 Intelligence courses in Sheffield delivered Online

Duration 3 Days 18 CPD hours This course is intended for This course is designed for professionals in a variety of job roles who are currently using desktop or web-based data management tools such as Microsoft Excel or SQL Server reporting services to perform numerical or general data analysis. They are responsible for connecting to cloud-based data sources, as well as shaping and combining data for the purpose of analysis. They are also looking for alternative ways to analyze business data, visualize insights, and share those insights with peers across the enterprise. This includes capturing and reporting on data to peers, executives, and clients. This course is also designed for professionals who want to pursue the Microsoft Power BI Data Analyst (Exam PL-300) certification. Overview In this course, you will analyze data with Microsoft Power BI. You will: Analyze data with self-service BI. Connect to data sources. Perform data cleaning, profiling, and shaping. Visualize data with Power BI. Enhance data analysis by adding and customizing visual elements. Model data with calculations. Create interactive visualizations. Use advanced analysis techniques. Enhance reports and dashboards. Publish and share reports and dashboards. Extend Power BI beyond the desktop. As technology progresses and becomes more interwoven with our businesses and lives, more data is collected about business and personal activities. This era of 'big data' is a direct result of the popularity and growth of cloud computing, which provides an abundance of computational power and storage, allowing organizations of all sorts to capture and store data. Leveraging that data effectively can provide timely insights and competitive advantages. Creating data-backed visualizations is key for data scientists, or any professional, to explore, analyze, and report insights and trends from data. Microsoft© Power BI© software is designed for this purpose. Power BI was built to connect to a wide range of data sources, and it enables users to quickly create visualizations of connected data to gain insights, show trends, and create reports. Power BI's data connection capabilities and visualization features go far beyond those that can be found in spreadsheets, enabling users to create compelling and interactive worksheets, dashboards, and stories that bring data to life and turn data into thoughtful action. Analyzing Data with Self-Service BI Topic A: Data Analysis and Visualization for Business Intelligence Topic B: Self-Service BI with Microsoft Power BI Connecting to Data Sources Topic A: Create Data Connections Topic B: Configure and Manage Data Relationships Topic C: Save Files in Power BI Performing Data Cleaning, Profiling, and Shaping Topic A: Clean, Transform, and Load Data with the Query Editor Topic B: Profile Data with the Query Editor Topic C: Shape Data with the Query Editor Topic D: Combine and Manage Data Rows Visualizing Data with Power BI Topic A: Create Visualizations in Power BI Topic B: Chart Data in Power BI Enhancing Data Analysis Topic A: Customize Visuals and Pages Topic B: Incorporate Tooltips Modeling Data with Calculations Topic A: Create Calculations with Data Analysis Expressions (DAX) Topic B: Create Calculated Measures and Conditional Columns Creating Interactive Visualizations Topic A: Create and Manage Data Hierarchies Topic B: Filter and Slice Reports Topic C: Create Dashboards Using Advanced Analysis Techniques Topic A: Create Calculated Tables, Variables, and Parameters Topic B: Enhance Visuals with Statistical Analysis Topic C: Perform Advanced Analysis Enhancing Reports and Dashboards Topic A: Enhance Reports Topic B: Enhance Dashboards Publishing and Sharing Reports and Dashboards Topic A: Publish Reports Topic B: Create and Manage Workspaces Topic C: Share Reports and Dashboards Extending Power BI Beyond the Desktop Topic A: Use Power BI Mobile Topic B: Extend Access with the Power BI API Additional course details: Nexus Humans Microsoft Power BI: Data Analysis Professional (Second Edition) (v1.3) 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 Microsoft Power BI: Data Analysis Professional (Second Edition) (v1.3) 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.

In this course, you will learn how to perform data cleaning and data preparation with KNIME and without coding. You should be familiar with KNIME as no basics are covered in this course. Basic knowledge of machine learning is certainly helpful for the later lectures in this course.

24 Hours Left! Don't Let the Winter Deals Slip Away - Enrol Now in this Data Analyst Course! Unlock the power of Data Analysis and become a master of insights with our Data Analyst (Data Analytics) course. Gain the Data Analyst skills to decipher complex datasets, extract valuable information, and make data-driven decisions that drive success as a Data Analyst. Join us on this Data Analyst (Data Analytics) course and embark on a journey to transform raw data into actionable intelligence, empowering businesses to thrive in the digital age with Data Analyst (Data Analytics) Courses Included in This Data Analyst (Data Analytics) Training: Course 01: Diploma in Data Analysis at QLS Level 5 Course 02: Diploma in Business Data Analysis at QLS Level 5 Course 03: SQL Masterclass: SQL For Data Analytics Learning outcome of this Data Analyst (Data Analytics) course: Master retail Data analytics for data-driven decisions. Uncover consumer behavior with retail psychology. Enhance retail performance through data analytics. Apply data-driven strategies for retail planning. Optimise inventory and product assortment in retail. Why Prefer This Data Analysis at QLS Level 5 Course? Opportunity to earn a certificate endorsed by the Quality Licence Scheme. Get a free student ID card! (£10 postal charge will be applicable for international delivery) Get instant access to this Data Analyst (Data Analytics) course. Learn Data Analyst (Data Analytics) from anywhere in the world Data Analyst (Data Analytics) is affordable and simple to understand Data Analyst (Data Analytics) is entirely online, interactive lesson with voiceover audio Lifetime access to the Data Analyst (Data Analytics) course materials Data Analyst (Data Analytics) comes with 24/7 tutor support Start your learning journey straight away with this Data Analyst (Data Analytics) course and take a step toward a brighter future! Why Prefer This Data Analyst (Data Analytics) Course? FREE certificate on Data Analyst (Data Analytics) accredited by CPDQS Get instant access to this Data Analyst (Data Analytics) course. Learn Data Analyst (Data Analytics) from anywhere in the world Data Analyst (Data Analytics) is affordable and simple to understand Data Analyst (Data Analytics) is entirely online, interactive lesson with voiceover audio Lifetime Access to the Data Analyst (Data Analytics) course materials Data Analyst (Data Analytics) comes with Data Analysis Assessment Process of Data Analyst(Data Analytics) QLS Course: Assignment & MCQ Based 60% Marks to pass Instant Assessment Certificate of Data Analyst QLS Endorsed Certificate (additional cost) CPD Approved Certificate CPD 150 CPD hours / points Accredited by CPD Quality Standards Course 01- Data Analysis: Modifying a Worksheet 25:59 1: Insert, Delete, and Adjust Cells, Columns, and Rows Preview 10:08 2: Search for and Replace Data 08:38 3: Use Proofing and Research Tools 07:13 Working with Lists 37:47 4: Sort Data 10:03 5: Filter Data 09:49 6: Query Data with Database Functions 09:02 7: Outline and Subtotal Data 08:53 Analyzing Data 12:33 8: Apply Intermediate Conditional Formatting 06:50 9: Apply Advanced Conditional Formatting 05:43 Visualizing Data with Charts 38:03 10: Create Charts 13:18 11: Modify and Format Charts 12:16 12: Use Advanced Chart Features 12:29 Using PivotTables and PivotCharts 44:25 13: Create a PivotTable 13:28 14: Analyze PivotTable Data 12:00 15: Present Data with PivotCharts 07:35 16: Filter Data by Using Timelines and Slicers 11:22 Working with Multiple Worksheets and Workbooks 24:00 17: Use Links and External References 12:24 18: Use 3-D References 05:51 19: Consolidate Data 05:45 Using Lookup Functions and Formula Auditing 30:28 20: Use Lookup Functions 12:45 21: Trace Cells 09:05 22: Watch and Evaluate Formulas 08:38 Automating Workbook Functionality 35:27 23: Apply Data Validation 13:28 24: Search for Invalid Data and Formulas with Errors 04:06 25: Work with Macros 17:53 Creating Sparklines and Mapping Data 07:19 26: MapData 07:19 Forecasting Data 27:54 27: Determine Potential Outcomes Using Data Tables 08:47 28: Determine Potential Outcomes Using Scenarios 09:16 29: Use the Goal Seek Feature 04:16 30: Forecasting Data Trends 05:35 Course 02- Module 1: Introduction to Retail Analytics 32:03 31: Introduction to Retail Analytics Preview 32:03 Module 2: Retail Psychology 07:06 32: Retail Psychology 07:06 Module 3: Retail and Data Analytics 12:00 33: Retail and Data Analytics 12:00 Module 4: Benefits of Retail Analytics 16:26 34: Benefits of Retail Analytics 16:26 Module 5: Retail Strategy 09:44 35: Retail Strategy 09:44 Module 6: Retail Buying and Merchandising 11:27 36: Retail Buying and Merchandising 11:27 Module 7: Forecasting 23:27 37: Forecasting 23:27 Module 8: Retail Pricing 16:30 38: Retail Pricing 16:30 Module 9: Analytics Software 19:37 39: Analytics Software 19:37 Module 10: Supply Chain Management in Retailing 07:37 40: Supply Chain Management in Retailing 07:37 Module 11: The Sales Process and Dealing with Customers at the Checkout 04:57 41: The Sales Process and Dealing with Customers at the Checkout 04:57 Module 12: Selling in Multiple Channels 12:40 42: Selling in Multiple Channels 12:40 Module 13: Taking Trends and Targeting Customers Effectively 05:38 43: Taking Trends and Targeting Customers Effectively 05:38 Assessment (Optional) 12:00 44: MCQ Question 12:00 Order Your Certificate 02:00 45: Order Your CPD Certificate 01:00 46: Order Your QLS Endorsed Certificate 01:00 Who is this course for? Data Analyst (Data Analytics) Training This course is for people who want to quickly and easily learn about Data Analyst (Data Analytics). Requirements Data Analyst (Data Analytics) Training You will not need any prior background or expertise to enrol in this Data Analyst (Data Analytics) course. Career path Data Analyst: £25,000 - £50,000 Junior Data Scientist: £30,000 - £60,000 Senior Data Analyst/Scientist: £50,000 - £100,000 Data Analytics Manager: £60,000 - £120,000 Certificates Cademy certificate of completion Digital certificate - Included Will be downloadable when all lectures have been completed Certificate of completion Digital certificate - £10 Diploma in Retail And Data Analytics at QLS Level 5 Hard copy certificate - £119 Show off Your New Skills with a Certificate of Completion After successfully completing the Diploma in Retail And Data Analytics at QLS Level 5, you can order an original hardcopy certificate of achievement endorsed by the Quality Licence Scheme. The certificate will be home-delivered, with a pricing scheme of - 119 GBP inside the UK 129 GBP (including postal fees) for International Delivery Certificate Accredited by CPDQS 29 GBP for Printed Hardcopy Certificate inside the UK 39 GBP for Printed Hardcopy Certificate outside the UK (International Delivery)

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2 QLS Endorsed Course | CPD Certified | Free PDF + Hardcopy Certificates | 80 CPD Points | Lifetime Access

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Overview Data and visual analytics are emerging fields concerned with analysing, modelling, and visualizing complex high-dimensional data. It can be analysed and visualised with many languages like Python, R Programming and more. This course will help to attain the skills and give in-depth knowledge to the participant's enhanced way of modelling, analysing and visualizing techniques.  The course will highlight practical challenges including composite real-world data and will also comprise several practical studies

10 QLS Endorsed Courses for Data Scientist | 10 Endorsed Certificates Included | Life Time Access

Supercharge your skills and career and learn in-demand knowledge needed to build business intelligence dashboards. This beginner to intermediate level course will introduce you to all the Power BI technologies i.e. Power Query, DAX, Data Modelling (Power Pivot), M, types of visualizations, etc.

Influencing Through Your Professional Presence Leaders spend a lot of time and money researching how to 'Brand and Market' their organization... But how much time have you spent thinking about your own 'Personal Brand' and 'Professional Presence'?Every hour of every day, at every level, in every organization around the world, people with influence move ahead and people without them don't. This is especially important in situations requiring leading without formal authority. Often thought of as something innate, influencing is an interrelated set of skills that can be learned and developed. It is the impression you make on others that is a key factor in influence. While 'Professional Presence' is often difficult to define, it seems easy to spot when you see it in another person - confidence, positive body language, professional appearance, and vocal expressiveness.Professional presence encompasses people's perceptions of everything from character and intelligence to ability to contribute to the organization. People who want to be influential, work at creating a positive 'Professional Presence' in the minds of other people.