OVERVIEW This official Microsoft Power BI training course will teach you how to connect to data from many sources, clean and transform it using Power Query, create a data model consisting of multiple tables connected with relationships and build visualisations and reports to show the patterns in the data. The course will explore formulas created using the DAX language, including the use of advanced date intelligence calculations. Additional visualisation features including interactivity between the elements of a report page are covered as well as parameters and row-level security, which allows a report to be tailored according to who is viewing it. The course will also show how to publish reports and dashboards to a workspace on the Power BI Service. COURSE BENEFITS: Learn how to clean, transform, and load data from many sources Use database queries in Power Query to combine tables using append and merge Create and manage a data model in Power BI consisting of multiple tables connected with relationships Build Measures and other calculations in the DAX language to plot in reports Manage advanced time calculations using date tables Optimise report calculations using the Performance Analyzer Manage and share report assets to the Power BI Service Prepare for the official Microsoft PL-300 exam using Microsoft Official Courseware WHO IS THE COURSE FOR? Data Analysts with little or no experience of Power BI who wish to upgrade their knowledge to include Business Intelligence Management Consultants who need to conduct rapid analysis of their clients’ data to answer specific business questions Analysts who need to upgrade their organisation from a simple Excel or SQL-based management reporting system to a dynamic BI system Data Analysts who wish to develop organisation-wide reporting in the form of web reports or phone apps Marketers in data-intensive organisations who wish to build visually appealing, dynamic charts for their stakeholders to use COURSE OUTLINE Module 1 Getting Started With Microsoft Data Analytics Data analytics and Microsoft Getting Started with Power BI Module 2 Get Data In Power BI Get data from various data sources Optimize performance Resolve data errors Lab: Prepare Data in Power BI Desktop Module 3 Clean, Transform And Load Data In Power BI Data shaping Data profiling Enhance the data structure Lab: Load Data in Power BI Desktop Module 4 Design A Data Model In Power BI Introduction to data modelling Working with Tables Dimensions and Hierarchies Lab: Model Data in Power BI Desktop Module 5 Create Model Calculations Using DAX In Power BI Introduction to DAX Real-time Dashboards Advanced DAX Lab 1: Create DAX Calculations in Power BI Desktop, Part 1 Lab 2: Create DAX Calculations in Power BI Desktop, Part 2 Module 6 Optimize Model Performance Optimize the data model for performance Optimize DirectQuery models Module 7 Create Reports Design a Report Enhance the Report Lab 1: Design a Report in Power BI Desktop, Part 1 Lab 2: Design a Report in Power BI Desktop, Part 2 Module 8 Create Dashboards Create a Dashboard Real-time Dashboards Enhance a Dashboard Lab: Create a Power BI Dashboard Module 9 Perform Advanced Analytics Advanced analytics Data Insights through AI Visuals Lab: Perform Data Analysis in Power BI Desktop Module 10 Create And Manage Workspaces Creating Workspaces Sharing and managing assets Module 11 Manage Datasets In Power BI Parameters Datasets Module 12 Row-Level Security Security in Power BI Lab: Enforce Row-Level Security
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Duration 3 Days 18 CPD hours This course is intended for Data Wrangling with Python takes a practical approach to equip beginners with the most essential data analysis tools in the shortest possible time. It contains multiple activities that use real-life business scenarios for you to practice and apply your new skills in a highly relevant context. Overview By the end of this course, you will be confident in using a diverse array of sources to extract, clean, transform, and format your data efficiently. In this course you will start with the absolute basics of Python, focusing mainly on data structures. Then you will delve into the fundamental tools of data wrangling like NumPy and Pandas libraries. You'll explore useful insights into why you should stay away from traditional ways of data cleaning, as done in other languages, and take advantage of the specialized pre-built routines in Python.This combination of Python tips and tricks will also demonstrate how to use the same Python backend and extract/transform data from an array of sources including the Internet, large database vaults, and Excel financial tables. To help you prepare for more challenging scenarios, you'll cover how to handle missing or wrong data, and reformat it based on the requirements from the downstream analytics tool. The course will further help you grasp concepts through real-world examples and datasets. Introduction to Data Structure using Python Python for Data Wrangling Lists, Sets, Strings, Tuples, and Dictionaries Advanced Operations on Built-In Data Structure Advanced Data Structures Basic File Operations in Python Introduction to NumPy, Pandas, and Matplotlib NumPy Arrays Pandas DataFrames Statistics and Visualization with NumPy and Pandas Using NumPy and Pandas to Calculate Basic Descriptive Statistics on the DataFrame Deep Dive into Data Wrangling with Python Subsetting, Filtering, and Grouping Detecting Outliers and Handling Missing Values Concatenating, Merging, and Joining Useful Methods of Pandas Get Comfortable with a Different Kind of Data Sources Reading Data from Different Text-Based (and Non-Text-Based) Sources Introduction to BeautifulSoup4 and Web Page Parsing Learning the Hidden Secrets of Data Wrangling Advanced List Comprehension and the zip Function Data Formatting Advanced Web Scraping and Data Gathering Basics of Web Scraping and BeautifulSoup libraries Reading Data from XML RDBMS and SQL Refresher of RDBMS and SQL Using an RDBMS (MySQL/PostgreSQL/SQLite) Application in real life and Conclusion of course Applying Your Knowledge to a Real-life Data Wrangling Task An Extension to Data Wrangling
Description Register on the AWS Certified Database Specialty Exam Preparation (DBS-C01) today and build the experience, skills and knowledge you need to enhance your professional development and work towards your dream job. Study this course through online learning and take the first steps towards a long-term career. The course consists of a number of easy to digest, in-depth modules, designed to provide you with a detailed, expert level of knowledge. Learn through a mixture of instructional video lessons and online study materials. Receive online tutor support as you study the course, to ensure you are supported every step of the way. Get a certificate as proof of your course completion. The AWS Certified Database Specialty Exam Preparation (DBS-C01) course is incredibly great value and allows you to study at your own pace. Access the course modules from any internet-enabled device, including computers, tablets, and smartphones. The course is designed to increase your employability and equip you with everything you need to be a success. Enrol on the now and start learning instantly! What You Get With This Course Receive a digital certificate upon successful completion of the course Get taught by experienced, professional instructors Study at a time and pace that suits your learning style Get instant feedback on assessments 24/7 help and advice via email or live chat Get full tutor support on weekdays (Monday to Friday) Certificate of Achievement After the successful completion of the final assessment, you will receive a CPD-accredited certificate of achievement. The PDF certificate is for 9.99, and it will be sent to you immediately after through e-mail. You can get the hard copy for 15.99, which will reach your doorsteps by post. Method of Assessment You need to attend an assessment right after the completion of this course to evaluate your progression. For passing the assessment, you need to score at least 60%. After submitting your assessment, you will get feedback from our experts immediately. Who Is This Course For The course is ideal for those who already work in this sector or are aspiring professionals. This course is designed to enhance your expertise and boost your CV. Learn key skills and gain a professional qualification to prove your newly-acquired knowledge. Course Content Section 01: Introducing Databases Introduction 00:03:00 AWS Database - Specialty Recommended Knowledge 00:04:00 Databases Defined 00:05:00 Relational Databases 00:08:00 Database Management System (DBMS) 00:09:00 Cloud-Based vs. Local Databases 00:07:00 Database Applications 00:07:00 Database Access Languages 00:05:00 Introducing SQL 00:09:00 Reading Data with SQL 00:09:00 Writing Data with SQL 00:06:00 Working with Database Objects 00:07:00 Section 02: Database Services AWS Database Services 00:05:00 Relational Databases (Aurora, Redshift, RDS) 00:10:00 Key-Value (NoSQL) Databases (DynamoDB) 00:07:00 In-Memory Databases (ElastiCache) 00:06:00 Document Databases (Document DB) 00:06:00 Graph Databases (Neptune) 00:04:00 Time Series Databases (Timestream) 00:03:00 Ledger Databases (QLDB) 00:03:00 Instance-Based Database Servers 00:06:00 Access Control and Authentication 00:07:00 Section 03: Database Design Designing Databases 00:07:00 Using an ERD Tool 00:09:00 Designing Database Solutions 00:07:00 Designing for Performance 00:08:00 Designing for Scalability 00:07:00 Designing for Compliance 00:06:00 Planning for Recovery 00:06:00 Planning for High Availability 00:07:00 Planning for Encryption 00:06:00 Section 04: Database Deployment Creating RDS Databases 00:11:00 Connecting to an RDS Database (MySQL Workbench) 00:06:00 Creating DynamoDB Databases 00:07:00 Creating RedShift Databases 00:07:00 Creating DocumentDB Databases 00:07:00 Creating Instance-Based Databases 00:04:00 Creating Databases from the CLI 00:07:00 Automation of Database Creation 00:09:00 Orchestration of Database Creation 00:09:00 Section 05: Database Migration Migration Strategies 00:09:00 Preparing Data for Migration 00:06:00 Preparing the Cloud to Receive Data 00:07:00 Executing Data Migration 00:08:00 Validating Data Migration 00:05:00 Migrating using DMS 00:11:00 Section 06: Managing Databases General Maintenance Processes 00:07:00 Specific Maintenance Tasks 00:08:00 Backup and Restore Strategies 00:06:00 Performing an Unmanaged Database Backup 00:07:00 Performing a Managed Database Backup 00:05:00 Performing a Restoration 00:05:00 Section 07: Managing Database Services Managing RDS 00:08:00 Managing DynamoDB 00:04:00 Managing Redshift 00:05:00 Managing Other Databases 00:06:00 General Operational Environment Management 00:07:00 Section 08: Monitoring Database Solutions Introduction to Monitoring 00:06:00 AWS Alert Services 00:07:00 Using CloudWatch 00:08:00 Using Third-Party Monitoring Tools 00:06:00 Auditing through Monitoring 00:03:00 Special Security Auditing Tools 00:08:00 Improving Database Performance 00:07:00 Section 09: Troubleshooting Database Solutions Data Access Issues 00:09:00 Database Availability Issues 00:08:00 Database Performance Issues 00:06:00 Data Corruption Issues 00:05:00 Database Size Issues 00:06:00 Security Issues 00:08:00 General Troubleshooting Best Practices 00:07:00 Order your Certificates & Transcripts Order your Certificates & Transcripts 00:00:00 Frequently Asked Questions Are there any prerequisites for taking the course? There are no specific prerequisites for this course, nor are there any formal entry requirements. All you need is an internet connection, a good understanding of English and a passion for learning for this course. Can I access the course at any time, or is there a set schedule? You have the flexibility to access the course at any time that suits your schedule. Our courses are self-paced, allowing you to study at your own pace and convenience. How long will I have access to the course? For this course, you will have access to the course materials for 1 year only. This means you can review the content as often as you like within the year, even after you've completed the course. However, if you buy Lifetime Access for the course, you will be able to access the course for a lifetime. Is there a certificate of completion provided after completing the course? Yes, upon successfully completing the course, you will receive a certificate of completion. This certificate can be a valuable addition to your professional portfolio and can be shared on your various social networks. Can I switch courses or get a refund if I'm not satisfied with the course? We want you to have a positive learning experience. If you're not satisfied with the course, you can request a course transfer or refund within 14 days of the initial purchase. How do I track my progress in the course? Our platform provides tracking tools and progress indicators for each course. You can monitor your progress, completed lessons, and assessments through your learner dashboard for the course. What if I have technical issues or difficulties with the course? If you encounter technical issues or content-related difficulties with the course, our support team is available to assist you. You can reach out to them for prompt resolution.
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This course on MongoDB is for absolute beginners and provides an interactive learning experience that reflects the most in-demand skills. The content will help you understand the concepts and methodology with regards to MongoDB in an effortless way. The strong basic understanding you gain initially will help you move toward learning more advanced concepts.
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Learn theoretical and practical skills in cybersecurity, ethical hacking, cyber management, and develop safe networking principles. We will cover crafting phishing mails, performing brute force attacks, conducting audits with Burp Suite, gather data with Maltego software, and safeguard systems and networks from phishing, malware, ransomware, and social engineering.