418 Courses in Bristol delivered Online

About this Training Course  This 3 full-day training course will introduce participants to the Microsoft Power BI® software solution for extracting, manipulating, visualising and analysing data. This is a very practical, hands-on course that takes participants through a series of exercises which help users understand the Power BI® environment, how to use the key areas of functionality, and how to apply the tools it contains to design and produce analyses of their own data. The first two days focus on learning the key concepts and practising these using clean, simple datasets. The third day provides participants with the opportunity to apply what they've learned to their own data. This makes the course far more relevant and meaningful for them, it allows our facilitator to help them structure their data models, queries and DAX formulas correctly, and it allows our facilitator to help them solve any additional problems that may arise but which were not covered as part of the standard the course. In addition, at the end of the day, each participant walks away with something of real, practical use for their job role. Many previous participants have remarked that they obtained the most value from the course during the third day because otherwise, they wouldn't be able to do what they need to do. This is an introductory course and although it does not assume any prior experience with Power BI®, participants will gain much more from the course if they have at least used Power BI® a little prior to attending. Participants who have taught themselves Power BI® will also benefit from attending as the course will fill-in a number of gaps in their knowledge and will also extend what they know. A general understanding of databases, Excel formulas, and Excel Pivot Tables is useful though not essential. Comprehensive course notes, exercises and completed solutions are included. Microsoft® PowerBI® is a trademark of Microsoft Corporation in the United States and/or other countries. Training Objectives Upon completion of this training course, participants will be able to: Confidently use the Power BI® solution, including Power BI® Desktop, PowerBI®.com and the Power BI® Gateway Extract data from a variety of data sources and manipulate the data extracted so it is ready for analysis Combine data sources together and gain an introductory understanding of the M language Write formulas using the DAX language for generating custom columns, measures and tables Design reports and dashboards using a wide range of both built-in and custom visuals Publish reports and dashboards to PowerBI®.com Share reports and dashboards with others using PowerBI®.com Customize reports and dashboards so that different user groups automatically see their own personalized views Target Audience This training course is intended for: Financial Analysts Accountants Budgeting and planning specialists Treasury Risk Managers Strategic Planners This is an introductory course and although it does not assume any prior experience with Power BI®, participants will gain much more from the course if they have at least used Power BI® a little prior to attending. Participants who have taught themselves Power BI® will also benefit from attending as the course will fill-in a number of gaps in their knowledge and will also extend what they know. A general understanding of databases, Excel formulas, and Excel Pivot Tables is useful though not essential. Comprehensive course notes, exercises and completed solutions are included. Course Level Basic or Foundation Trainer Your expert course leader has a Masters (Applied Finance & Investment), B.Comm (Accounting & Information Systems), CISA, FAIM, F Fin and is a Microsoft Certified Excel Expert. He has over 20 years' experience in financial modelling, forecasting, valuation, model auditing, and management reporting for clients throughout the world. He is skilled in the development and maintenance of analytical tools and financial models for middle-market companies to large corporates, at all levels of complexity, in both domestic and international settings. He has trained delegates from a wide variety of Oil & Gas companies including Chevron, Woodside, BHP Billiton, Petronas, Carigali, Shell, Nippon, Eni, Pertamina, Inpex, and many more. He provides training in financial modelling for companies throughout the Asia, Oceania, Middle East and African regions. Before his current role, he spent 6 years working in the Corporate and IT Consulting divisions of a large, multinational Chartered Accounting firm. He is the author of a number of white papers on financial modelling on subjects such as Financial Modelling Best Practices and Financial Model Auditing. Highlights from his oil and gas experience include: Development of economic models to assist Decision Analysts modelling for a wide range of scenarios for multinational oil & gas assets. Auditing and further development of life of project models for Chevron's Strategic Planning Division analysing their North West Shelf assets. Development of business plan and budgeting models for multinational oil & gas assets. Development of cash flow and taxation models for a variety of oil gas companies. Consulting on Sarbanes Oxley spreadsheet remediation and risk assessment. POST TRAINING COACHING SUPPORT (OPTIONAL) To further optimise your learning experience from our courses, we also offer individualized 'One to One' coaching support for 2 hours post training. We can help improve your competence in your chosen area of interest, based on your learning needs and available hours. This is a great opportunity to improve your capability and confidence in a particular area of expertise. It will be delivered over a secure video conference call by one of our senior trainers. They will work with you to create a tailor-made coaching program that will help you achieve your goals faster. Request for further information post training support and fees applicable Accreditions And Affliations

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This Database Administrator Bundle Consists of the following Premium courses: Course 01: Introduction to Data Analysis Course 02: Data Center Training Essentials: General Introduction Course 03: Data Analytics with Tableau Course 04: Basic Google Data Studio Course 05: Complete Google Analytics Course Course 06: Python for Data Analysis Course 07: Data Analysis in Excel Level 3 Course Course 08: Microsoft Excel: Automated Dashboard Using Advanced Formula, VBA, Power Query Course 09: GDPR Data Protection Level 5 Course 10: Level 3 Cyber Security Course 11: Encryption Enrol now in Database Administrator to advance your career, and use the premium study materials from Apex Learning. How will I get my Certificate? After successfully completing the Database Administrator course, you will be able to order your CPD Accredited Certificates (PDF + Hard Copy) as proof of your achievement. 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Python for Data Analysis & Visualization Python for Machine Learning (ML) - scikit-learn - Linear Regression Model Python for Machine Learning - scikit-learn - Logistic Regression Model Python for Machine Learning - scikit-learn - K Nearest Neighbors Python for Machine Learning - scikit-learn - Decision Tree and Random Forests Python for Machine Learning - scikit-learn -Support Vector Machines (SVMs) Python for Machine Learning - scikit-learn - K Means Clustering Python for Machine Learning - scikit-learn - Principal Component Analysis (PCA) Recommender Systems with Python - (Additional Topic) Python for Natural Language Processing (NLP) - NLTK - (Additional Topic) Course 07: Data Analysis in Excel Level 3 Course Modifying a Worksheet Working with Lists Analyzing Data Visualizing Data with Charts Using PivotTables and PivotCharts Working with Multiple Worksheets and Workbooks Using Lookup Functions and Formula Auditing Automating Workbook Functionality Creating Sparklines and Mapping Data Forecasting Data Course 08: Microsoft Excel: Automated Dashboard Using Advanced Formula, VBA, Power Query Introduction Prepaid Expenses Models: Resources Download Accounting for Prepaid Expenses Excel Formulas Detailed: Introduction to three Excel Models Formula Based Prepaid Expenses Model Calculate Prepaid Expenses Amortisation from Exact Start Date Prepaid Expenses Summary with Power Query and Pivot Table Advanced VBA Prepaid Expenses Amortisation Model BONUS: Dynamic Dashboard for Divisional Profit and Loss statements: Easy Way Power Query & Pivot Tables based Dashboard without any Formulas, Fully Dynamic Thankyou Course 09: GDPR Data Protection Level 5 Module 01: GDPR Basics Module 02: GDPR Explained Module 03: Lawful Basis for Preparation Module 04: Rights and Breaches Module 05: Responsibilities and Obligations Course 10: Level 3 Cyber Security FUNDAMENTALS OF NETWORKING GETTING STARTED WITH CYBER SECURITY LET'S BEGIN - THE FUNDAMENTALS OF CYBER SECURITY DIVING DEEP INTO CYBER SECURITY TYPES OF ACTORS, ATTACKS, MALWARE AND RESOURCES FIREWALLS AND ANTIVIRUS KEY SECURITY CONCEPTS Course 11: Encryption Section 01: Introduction Section 02: Basics of Common Encryption Section 03: Technical Aspects of Encryption Section 04: AES Basic Tech Demo Section 05: File and System Encryption Section 06: Conclusion CPD 120 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Anyone from any background can enrol in this Database Administrator bundle. Requirements This Database Administrator course has been designed to be fully compatible with tablets and smartphones. Career path Having this expertise will increase the value of your CV and open you up to multiple job sectors. Certificates Certificate of completion Digital certificate - Included Certificate of completion Hard copy certificate - Included P.S. The delivery charge inside the UK is £3.99, and the international students have to pay £9.99.

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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 4 Days 24 CPD hours This course is intended for The primary audience for this course is data professionals, data architects, and business intelligence professionals who want to learn about data engineering and building analytical solutions using data platform technologies that exist on Microsoft Azure. The secondary audience for this course includes data analysts and data scientists who work with analytical solutions built on Microsoft Azure. In this course, the student will learn how to implement and manage data engineering workloads on Microsoft Azure, using Azure services such as Azure Synapse Analytics, Azure Data Lake Storage Gen2, Azure Stream Analytics, Azure Databricks, and others. The course focuses on common data engineering tasks such as orchestrating data transfer and transformation pipelines, working with data files in a data lake, creating and loading relational data warehouses, capturing and aggregating streams of real-time data, and tracking data assets and lineage. Prerequisites Successful students start this course with knowledge of cloud computing and core data concepts and professional experience with data solutions. AZ-900T00 Microsoft Azure Fundamentals DP-900T00 Microsoft Azure Data Fundamentals 1 - Introduction to data engineering on Azure What is data engineering Important data engineering concepts Data engineering in Microsoft Azure 2 - Introduction to Azure Data Lake Storage Gen2 Understand Azure Data Lake Storage Gen2 Enable Azure Data Lake Storage Gen2 in Azure Storage Compare Azure Data Lake Store to Azure Blob storage Understand the stages for processing big data Use Azure Data Lake Storage Gen2 in data analytics workloads 3 - Introduction to Azure Synapse Analytics What is Azure Synapse Analytics How Azure Synapse Analytics works When to use Azure Synapse Analytics 4 - Use Azure Synapse serverless SQL pool to query files in a data lake Understand Azure Synapse serverless SQL pool capabilities and use cases Query files using a serverless SQL pool Create external database objects 5 - Use Azure Synapse serverless SQL pools to transform data in a data lake Transform data files with the CREATE EXTERNAL TABLE AS SELECT statement Encapsulate data transformations in a stored procedure Include a data transformation stored procedure in a pipeline 6 - Create a lake database in Azure Synapse Analytics Understand lake database concepts Explore database templates Create a lake database Use a lake database 7 - Analyze data with Apache Spark in Azure Synapse Analytics Get to know Apache Spark Use Spark in Azure Synapse Analytics Analyze data with Spark Visualize data with Spark 8 - Transform data with Spark in Azure Synapse Analytics Modify and save dataframes Partition data files Transform data with SQL 9 - Use Delta Lake in Azure Synapse Analytics Understand Delta Lake Create Delta Lake tables Create catalog tables Use Delta Lake with streaming data Use Delta Lake in a SQL pool 10 - Analyze data in a relational data warehouse Design a data warehouse schema Create data warehouse tables Load data warehouse tables Query a data warehouse 11 - Load data into a relational data warehouse Load staging tables Load dimension tables Load time dimension tables Load slowly changing dimensions Load fact tables Perform post load optimization 12 - Build a data pipeline in Azure Synapse Analytics Understand pipelines in Azure Synapse Analytics Create a pipeline in Azure Synapse Studio Define data flows Run a pipeline 13 - Use Spark Notebooks in an Azure Synapse Pipeline Understand Synapse Notebooks and Pipelines Use a Synapse notebook activity in a pipeline Use parameters in a notebook 14 - Plan hybrid transactional and analytical processing using Azure Synapse Analytics Understand hybrid transactional and analytical processing patterns Describe Azure Synapse Link 15 - Implement Azure Synapse Link with Azure Cosmos DB Enable Cosmos DB account to use Azure Synapse Link Create an analytical store enabled container Create a linked service for Cosmos DB Query Cosmos DB data with Spark Query Cosmos DB with Synapse SQL 16 - Implement Azure Synapse Link for SQL What is Azure Synapse Link for SQL? Configure Azure Synapse Link for Azure SQL Database Configure Azure Synapse Link for SQL Server 2022 17 - Get started with Azure Stream Analytics Understand data streams Understand event processing Understand window functions 18 - Ingest streaming data using Azure Stream Analytics and Azure Synapse Analytics Stream ingestion scenarios Configure inputs and outputs Define a query to select, filter, and aggregate data Run a job to ingest data 19 - Visualize real-time data with Azure Stream Analytics and Power BI Use a Power BI output in Azure Stream Analytics Create a query for real-time visualization Create real-time data visualizations in Power BI 20 - Introduction to Microsoft Purview What is Microsoft Purview? How Microsoft Purview works When to use Microsoft Purview 21 - Integrate Microsoft Purview and Azure Synapse Analytics Catalog Azure Synapse Analytics data assets in Microsoft Purview Connect Microsoft Purview to an Azure Synapse Analytics workspace Search a Purview catalog in Synapse Studio Track data lineage in pipelines 22 - Explore Azure Databricks Get started with Azure Databricks Identify Azure Databricks workloads Understand key concepts 23 - Use Apache Spark in Azure Databricks Get to know Spark Create a Spark cluster Use Spark in notebooks Use Spark to work with data files Visualize data 24 - Run Azure Databricks Notebooks with Azure Data Factory Understand Azure Databricks notebooks and pipelines Create a linked service for Azure Databricks Use a Notebook activity in a pipeline Use parameters in a notebook Additional course details: Nexus Humans DP-203T00 Data Engineering on Microsoft Azure 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 DP-203T00 Data Engineering on Microsoft Azure 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.

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