138 Data Skills courses

Duration 1 Days 6 CPD hours This course is intended for Individuals with basic computer skills, familiar with concepts related to database structure and terminology, and who want to use SQL to query databases. Overview Upon successful completion of this course, students will be able to: - connect to the SQL Server database and execute a simple query. - include a search condition in a simple query. - use various functions to perform calculations on data. - organize data obtained from a query before it is displayed on-screen. - retrieve data from tables. - format an output, save a result, and generate a report. In this course, students will compose SQL queries to retrieve desired information from a database. 1 - EXECUTING A SIMPLE QUERY * Connect to the SQL Database * Query a Database * Save a Query * Modify a Query * Execute a Saved Query 2 - PERFORMING A CONDITIONAL SEARCH * Search Using a Simple Condition * Compare Column Values * Search Using Multiple Conditions * Search for a Range of Values and Null Values * Retrieve Data Based on Patterns 3 - WORKING WITH FUNCTIONS * Perform Date Calculations * Calculate Data Using Aggregate Functions * Manipulate String Values 4 - ORGANIZING DATA * Sort Data * Rank Data * Group Data * Filter Grouped Data * Summarize Grouped Data * Use PIVOT and UNPIVOT Operators 5 - RETRIEVING DATA FROM TABLES * Combine Results of Two Queries * Compare the Results of Two Queries * Retrieve Data by Joining Tables * Check for Unmatched Records * Retrieve Information from a Single Table Using Joins 6 - PRESENTING QUERY RESULTS * Save the Query Result * Generate an XML Report

Duration 5 Days 30 CPD hours Overview Mining data Manipulating data Visualizing and reporting data Applying basic statistical methods Analyzing complex datasets while adhering to governance and quality standards throughout the entire data life cycle CompTIA Data+ is an early-career data analytics certification for professionals tasked with developing and promoting data-driven business decision-making. CompTIA Data+ gives you the confidence to bring data analysis to life. As the importance for data analytics grows, more job roles are required to set context and better communicate vital business intelligence. Collecting, analyzing, and reporting on data can drive priorities and lead business decision-making. 1 - IDENTIFYING BASIC CONCEPTS OF DATA SCHEMAS * Identify Relational and Non-Relational Databases * Understand the Way We Use Tables, Primary Keys, and Normalization 2 - UNDERSTANDING DIFFERENT DATA SYSTEMS * Describe Types of Data Processing and Storage Systems * Explain How Data Changes 3 - UNDERSTANDING TYPES AND CHARACTERISTICS OF DATA * Understand Types of Data * Break Down the Field Data Types 4 - COMPARING AND CONTRASTING DIFFERENT DATA STRUCTURES, FORMATS, AND MARKUP LANGUAGES * Differentiate between Structured Data and Unstructured Data * Recognize Different File Formats * Understand the Different Code Languages Used for Data 5 - EXPLAINING DATA INTEGRATION AND COLLECTION METHODS * Understand the Processes of Extracting, Transforming, and Loading Data * Explain API/Web Scraping and Other Collection Methods * Collect and Use Public and Publicly-Available Data * Use and Collect Survey Data 6 - IDENTIFYING COMMON REASONS FOR CLEANSING AND PROFILING DATA * Learn to Profile Data * Address Redundant, Duplicated, and Unnecessary Data * Work with Missing Value * Address Invalid Data * Convert Data to Meet Specifications 7 - EXECUTING DIFFERENT DATA MANIPULATION TECHNIQUES * Manipulate Field Data and Create Variables * Transpose and Append Data * Query Data 8 - EXPLAINING COMMON TECHNIQUES FOR DATA MANIPULATION AND OPTIMIZATION * Use Functions to Manipulate Data * Use Common Techniques for Query Optimization 9 - APPLYING DESCRIPTIVE STATISTICAL METHODS * Use Measures of Central Tendency * Use Measures of Dispersion * Use Frequency and Percentages 10 - DESCRIBING KEY ANALYSIS TECHNIQUES * Get Started with Analysis * Recognize Types of Analysis 11 - UNDERSTANDING THE USE OF DIFFERENT STATISTICAL METHODS * Understand the Importance of Statistical Tests * Break Down the Hypothesis Test * Understand Tests and Methods to Determine Relationships Between Variables 12 - USING THE APPROPRIATE TYPE OF VISUALIZATION * Use Basic Visuals * Build Advanced Visuals * Build Maps with Geographical Data * Use Visuals to Tell a Story 13 - EXPRESSING BUSINESS REQUIREMENTS IN A REPORT FORMAT * Consider Audience Needs When Developing a Report * Describe Data Source Considerations For Reporting * Describe Considerations for Delivering Reports and Dashboards * Develop Reports or Dashboards * Understand Ways to Sort and Filter Data 14 - DESIGNING COMPONENTS FOR REPORTS AND DASHBOARDS * Design Elements for Reports and Dashboards * Utilize Standard Elements * Creating a Narrative and Other Written Elements * Understand Deployment Considerations 15 - UNDERSTAND DEPLOYMENT CONSIDERATIONS * Understand How Updates and Timing Affect Reporting * Differentiate Between Types of Reports 16 - SUMMARIZING THE IMPORTANCE OF DATA GOVERNANCE * Define Data Governance * Understand Access Requirements and Policies * Understand Security Requirements * Understand Entity Relationship Requirements 17 - APPLYING QUALITY CONTROL TO DATA * Describe Characteristics, Rules, and Metrics of Data Quality * Identify Reasons to Quality Check Data and Methods of Data Validation 18 - EXPLAINING MASTER DATA MANAGEMENT CONCEPTS * Explain the Basics of Master Data Management * Describe Master Data Management Processes ADDITIONAL COURSE DETAILS: Nexus Humans CompTIA Data Plus (DA0-001) 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 CompTIA Data Plus (DA0-001) 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.

Duration 2 Days 12 CPD hours This course is intended for This course can be valuable for anyone who needs to write basic SQL or Transact-SQL queries. This includes anyone working with data as a data analyst, a data engineer, a data scientist, a database administrator or a database developer. It can also be useful for others peripherally involved with data, or wanting to learn more about working with data such as solution architects, students and technology managers. This course will teach the basics of Microsoft's dialect of the standard SQL language: Transact-SQL. Topics include both querying and modifying data in relational databases that are hosted in Microsoft SQL Server-based database systems, including: Microsoft SQL Server, Azure SQL Database and, Azure Synapse Analytics. 1 - INTRODUCTION TO TRANSACT-SQL * Work with schemas * Explore the structure of SQL statements * Examine the SELECT statement * Work with data types * Handle NULLs 2 - SORT AND FILTER RESULTS IN T-SQL * Sort your results * Limit the sorted results * Page results * Remove duplicates * Filter data with predicates 3 - COMBINE MULTIPLE TABLES WITH JOINS IN T-SQL * Understand joins concepts and syntax * Use inner joins * Use outer joins * Use cross joins * Use self joins 4 - WRITE SUBQUERIES IN T-SQL * Understand subqueries * Use scalar or multi-valued subqueries * Use self-contained or correlated subqueries 5 - USE BUILT-IN FUNCTIONS AND GROUP BY IN TRANSACT-SQL * Categorize built-in functions * Use scalar functions * Use ranking and rowset functions * Use aggregate functions * Summarize data with GROUP BY * Filter groups with HAVING 6 - MODIFY DATA WITH T-SQL * Insert data * Generate automatic values * Update data * Delete data * Merge data based on multiple tables ADDITIONAL COURSE DETAILS: Nexus Humans DP-080T00 Querying Data with Microsoft Transact-SQL 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-080T00 Querying Data with Microsoft Transact-SQL 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.

Duration 1 Days 6 CPD hours This course is intended for Students should have basic computer skills, SQL skills, and be familiar with concepts related to database structure and terminology. Overview Upon successful completion of this course, students will be able to: - Use subqueries to generate query output. - Manipulate table data by inserting, updating, and deleting records in a table. - Manipulate the table structure. - Create views, manipulate data through views, modify the view structure, and drop views. - Create indices on table columns and drop inefficient indices. - Mark the beginning of a transaction, create a savepoint within a transaction, rollback a transaction, and commit a transaction. In this course, students will work with advanced queries to manipulate and index tables. Students will also create transactions so that you can choose to save or cancel data entry process. Prerequisites * SQL Querying Fundamentals - Part 1 1 - USING SUBQUERIES TO PERFORM ADVANCED QUERYING * Search Based on Unknown Values * Compare a Value with Unknown Values * Search Based on the Existence of Records * Generate Output Using Correlated Subqueries * Filter Grouped Data Within Subqueries * Perform Multiple-Level Subqueries 2 - MANIPULATING TABLE DATA * Insert Data * Modify and Delete Data 3 - MANIPULATING THE TABLE STRUCTURE * Create a Simple Table * Create a Table with Constraints * Add or Drop Table Columns * Add or Drop Constraints * Modify the Column Definition * Back Up Tables * Delete Tables 4 - WORKING WITH VIEWS * Create a View * Manipulate Data in Views * Create Aliases * Modify and Drop Views 5 - INDEXING DATA * Create Indices * Drop Indices 6 - MANAGING TRANSACTIONS * Create Transactions * Commit Transactions

Duration 1 Days 6 CPD hours This course is intended for This course is designed for professionals in a variety of job roles who receive Tableau data visualizations from data analysts or from data visualization engineers. These data report recipients want to take advantage of the many Tableau features and capabilities that enable them to explore the data behind the initial analysis, perform additional analysis to ask next-level questions of the data, and to customize visualizations and dashboards to share new insights and create compelling reports. Overview Explore Tableau reports. Analyze data to get answers and insights. Sort and group data for analysis and reporting. Filter views. Prepare reports. Troubleshoot, collaborate, and share views and analysis As data acquisition, access, analysis, and reporting are interwoven with our businesses and lives, more and more data is collected about business and personal activities. This abundance of data and the computing power to analyze it has increased the use of data analysis and data visualization across a broad range of job roles. Decision makers of all types, including managers and executives, must interact with, interpret, and develop reports based on data and analysis provided to them. Tableau© software is designed for data analysis and the creation of visualizations. Data analysts prepare data, perform initial analysis, and create visualizations that are then passed on to business data-driven decision makers. These decision makers can use Tableau's tools to explore the data, perform further analysis to find new insights, make decisions, and create customized reports to share their findings. Prerequisites To ensure your success in this course, you should have experience managing data with Microsoft© Excel© or Google Sheets? LESSON 1: EXPLORING TABLEAU REPORTS * Topic A: Data Analysis Workflow with Tableau * Topic B: Explore Views * Topic C: Edit Workbooks LESSON 2: ANALYZING DATA TO GET ANSWERS AND INSIGHTS * Topic A: Configure Marks with the Marks Card * Topic B: Ask New Questions by Changing Aggregation * Topic C: Find Answers with Calculations * Topic D: Answer Questions with Table Calculations LESSON 3: SORTING AND GROUPING DATA FOR ANALYSIS AND REPORTING * Topic A: Sort Data * Topic B: Group Data LESSON 4: FILTERING VIEWS * Topic A: Filter Data to Refine Analysis * Topic B: Create Interactive Filters for Reports LESSON 5: PREPARING REPORTS * Topic A: Format and Annotate Views to Tell Your Story * Topic B: Emphasize Data in Reports * Topic C: Animate Visualizations for Clarity LESSON 6: TROUBLESHOOTING, SHARING, AND COLLABORATING * Topic A: Troubleshoot Data Issues * Topic B: Collaborate in Tableau Online * Topic C: Collaborate with Non-Tableau Users

Duration 5 Days 30 CPD hours This course is intended for This course is intended for novice database developers, database administrators, Business Intelligence developers, report creators, and application developers who have an understanding of relational database concepts and have basic Windows navigation skills. Overview Create single table SELECT queries Create multiple table SELECT queries Filter and sort data Insert, update, and delete data Query data using built-in functions Create queries that aggregate data Create subqueries Create queries that use table expressions Use UNION, INTERSECT, and EXCEPT on multiple sets of data Implement window functions in queries Use PIVOT and GROUPING SETS in queries Use stored procedures in queries Add error handling to queries Use transactions in queries This five-day instructor-led course is intended for IT professionals who wish to use the Transact-SQL language to query and configure Microsoft SQL Server. Students are typically database developers and database administrators, but might also be Business Intelligence developers, report creators, or application developers. In this course, students learn how to query single tables, join data from multiple tables, filter and sort data, modify data, use procedures and functions, and implement error handling. Prerequisites * Basic understanding of relational databases. * Basic Windows knowledge. MODULE 1: INTRODUCTION TO TRANSACT-SQL * What is Transact-SQL * The SELECT statement * The WHERE clause * Sorting results * Calculations * CASE expressions MODULE 2: JOINING TABLES WITH TRANSACT-SQL * The JOIN clause * Inner joins * Outer joins * Self joins and cross joins MODULE 3: FILTERING AND SORTING RESULTS * Implement the ORDER BY clause * Filter data with the WHERE clause * Limit the number of rows returned by a query * Implement NULL logic MODULE 4: SQL SERVER DATA TYPES * Understand data types * Implement string data types * Implement temporal data types MODULE 5: INSERTING, UPDATING AND DELETING DATA * Insert new records * Update existing records * Delete data MODULE 6: USING SQL SERVER FUNCTIONS WITH TRANSACT-SQL * Understand function types in SQL Server * Convert data using functions * Implement logical functions * Work with NULL data using functions MODULE 7: AGGREGATING DATA WITH TRANSACT-SQL * Implement aggregation in SQL Server * Group records in SQL Server * Filter aggregated data MODULE 8: IMPLEMENT SUBQUERIES WITH TRANSACT-SQL * Implement scalar and multi-valued sub-queries * Implement correlated subqueries * Implement existence checks with subqueries MODULE 9: CREATE QUERIES THAT USE TABLE EXPRESSIONS * Create views * Create table-valued functions * Implement derived tables * Implement common table expressions MODULE 10: USE UNION, INTERSECT, EXCEPT AND APPLY ON MULTIPLE SETS OF DATA * Write queries with the UNION operator * Write queries with the INTERSECT and EXCEPT operators * Write queries with the APPLY operator MODULE 11: IMPLEMENT WINDOW FUNCTIONS IN QUERIES * Understand window functions * Impement window functions MODULE 12: USE PIVOT AND GROUPING SETS IN QUERIES * Implement PIVOT in queries * Implement grouping sets in queries MODULE 13: USE STORED PROCEDURES IN QUERIES * Query data with stored procedures * Interact with stored procedures using input and output parameters * Write simple stored procedures * Pass dynamic SQL to SQL Server MODULE 14: IMPLEMENT PROGRAMMING FEATURES IN TRANSACT-SQL * Understand T-SQL programming elements * Implement loops and conditions in T-SQL queries MODULE 15: ADD ERROR HANDLING TO QUERIES * Understand SQL Server error handling * Implemet structured exception handling MODULE 16: USE TRANSACTIONS IN QUERIES * Understand database transactions * Implement transactions in T-SQL

Duration 2 Days 12 CPD hours Overview Identify and configure basic functions of Tableau. Connect to data sources, import data into Tableau, and save Tableau files Create views and customize data in visualizations. Manage, sort, and group data. Save and share data sources and workbooks. Filter data in views. Customize visualizations with annotations, highlights, and advanced features. Create and enhance dashboards in Tableau. Create and enhance stories in Tableau As technology progresses and becomes more interwoven with our businesses and lives, more and more data is collected about business and personal activities. This era of "big data" has exploded due to the rise 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 advantage. The creation of data-backed visualizations is a key way data scientists, or any professional, can explore, analyze, and report insights and trends from data. Tableau© software is designed for this purpose. Tableau was built to connect to a wide range of data sources and allows users to quickly create visualizations of connected data to gain insights, show trends, and create reports. Tableau's data connection capabilities and visualization features go far beyond those that can be found in spreadsheets, allowing users to create compelling and interactive worksheets, dashboards, and stories that bring data to life and turn data into thoughtful action. Prerequisites To ensure your success in this course, you should have experience managing data with Microsoft© Excel© or Google Sheets?. LESSON 1: TABLEAU FUNDAMENTALS * Topic A: Overview of Tableau * Topic B: Navigate and Configure Tableau LESSON 2: CONNECTING TO AND PREPARING DATA * Topic A: Connect to Data * Topic B: Build a Data Model * Topic C: Save Workbook Files * Topic D: Prepare Data for Analysis LESSON 3: EXPLORING DATA * Topic A: Create Views * Topic B: Customize Data in Visualizations LESSON 4: MANAGING, SORTING, AND GROUPING DATA * Topic A: Adjust Fields * Topic B: Sort Data * Topic C: Group Data LESSON 5: SAVING, PUBLISHING, AND SHARING DATA * Topic A: Save Data Sources * Topic B: Publish Data Sources and Visualizations * Topic C: Share Workbooks for Collaboration LESSON 6: FILTERING DATA * Topic A: Configure Worksheet Filters * Topic B: Apply Advanced Filter Options * Topic C: Create Interactive Filters LESSON 7: CUSTOMIZING VISUALIZATIONS * Topic A: Format and Annotate Views * Topic B: Emphasize Data in Visualizations * Topic C: Create Animated Workbooks * Topic D: Best Practices for Visual Design LESSON 8: CREATING DASHBOARDS IN TABLEAU * Topic A: Create Dashboards * Topic B: Enhance Dashboards with Actions * Topic C: Create Mobile Dashboards LESSON 9: CREATING STORIES IN TABLEAU * Topic A: Create Stories * Topic B: Enhance Stories with Tooltips

Duration 2 Days 12 CPD hours This course is intended for This course is designed for professionals in a variety of job roles who are currently using Tableau to perform numerical or general data analysis, visualization, and reporting. They need to provide data visualizations from multiple data sources, or combine data to show comparisons, manipulate data through calculations, create interactive visualizations, or create visualizations that showcase insights from statistical analysis. This course is also designed for students who plan to obtain Tableau Desktop Certified Associate certification, which requires candidates to pass the Tableau Desktop Certified Associate exam. Overview Blend data multiple sources. Join data. Access data in PDFs. Refine visualizations with sets and parameters. Analyze data with calculations. Visualize data with advanced calculations. Perform statistical analysis and forecasting. Create geographic visualizations. Get answers with Ask and Explain The advent of cloud computing and storage has ushered in the era of "big data." With the abundance of computational power and storage, organizations and employees with many different roles and responsibilities can benefit from analyzing data to find timely insights and gain competitive advantage. Data-backed visualizations allow anyone to explore, analyze, and report insights and trends from data. Tableau© software is designed for this purpose. Tableau was built to connect to a wide range of data sources and allows users to quickly create visualizations of connected data to gain insights, show trends, and create reports. Beyond the fundamental capabilities of creating data driven visualizations, Tableau allows users to manipulate data with calculations to show insights, make visualizations interactive, and perform statistical analysis. This gives users the ability to create and share data driven insights with peers, executives, and clients. Prerequisites Tableau Desktop: Part 1 LESSON 1: BLENDING DATA FROM MULTIPLE SOURCES * Topic A: Blend Data * Topic B: Refine Blends to Visualize Key Information LESSON 2: JOINING DATA * Topic A: Create Joins * Topic B: Troubleshoot Joins * Topic C: Merge Data with Unions LESSON 3: ACCESSING DATA IN PDFS * Topic A: Connect to PDFs * Topic B: Clean Up and Organize PDF Data LESSON 4: REFINING VISUALIZATIONS WITH SETS AND PARAMETERS * Topic A: Create Sets * Topic B: Analyze Data with Sets * Topic C: Apply Parameters to Refine Visualizations * Topic D: Create Advanced Visualizations LESSON 5: ANALYZING DATA WITH CALCULATIONS * Topic A: Create Calculated Fields to Analyze Data * Topic B: Manipulate Data with Functions * Topic C: Analyze Data with Table Calculations LESSON 6: VISUALIZING DATA WITH ADVANCED CALCULATIONS * Topic A: Create Groups and Bins with Calculations * Topic B: Analyze Data with LOD Expressions LESSON 7: PERFORMING STATISTICAL ANALYSIS AND FORECASTING * Topic A: Perform Statistical Analysis * Topic B: Forecast Data Trends LESSON 8: CREATING GEOGRAPHIC VISUALIZATIONS * Topic A: Create Maps * Topic B: Customize Mapped Data LESSON 9: GETTING ANSWERS WITH ASK AND EXPLAIN * Topic A: Ask Data * Topic B: Explain Data ADDITIONAL COURSE DETAILS: Nexus Humans Tableau Desktop - Part 2 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 Tableau Desktop - Part 2 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.

Duration 2 Days 12 CPD hours This course is intended for This course is designed for students who already have foundational knowledge and skills in Excel and who wish to perform robust and advanced data and statistical analysis with Microsoft Excel using PivotTables, use tools such as Power Pivot and the Data Analysis ToolPak to analyze data, and visualize data and insights using advanced visualizations in charts and dashboards in Excel. To ensure success, you should have baseline skill using Microsoft Excel worksheets, particularly in creating workbooks with formulas and function Overview #NAME? Analyzing data to find issues, insights and opportunities, is now a critical part of many job roles. Beyond the analysis, data analysts in all job roles must be able to effectively present and communicate their findings in visually compelling ways. Microsoft© Excel© is designed for this purpose. Excel can connect to a wide range of data sources, perform robust data analysis and create diverse and robust data-backed visualizations to show insights, trends, and create reports. These capabilities enable people who use Excel for data analysis to turn data into thoughtful action. 1 - DATA ANALYSIS FUNDAMENTALS * Introduction to Data Science * Create and Modify Tables * Sort and Filter Data 2 - VISUALIZING DATA WITH EXCEL * Visualize Data with Charts * Modify and Format Charts * Apply Best Practices in Chart Design 3 - ANALYZING DATA WITH FORMULAS AND FUNCTIONS * Analyze Data with Formulas and Named Ranges * Analyze Data with Functions * Implement Data Validation, Forms, and Controls * Create Conditional Visualizations with Lookup Functions 4 - ANALYZING DATA WITH PIVOTTABLES * Create a PivotTable * Analyze PivotTable Data 5 - PRESENTING VISUAL INSIGHTS WITH DASHBOARDS IN EXCEL * Visualize Data with PivotCharts * Filter Data Using Slicers and Timelines * Create a Dashboard in Excel 6 - CREATING GEOSPATIAL VISUALIZATIONS WITH EXCEL * Create Map Charts in Excel * Customize Map Charts in Excel 7 - PERFORMING STATISTICAL ANALYSIS * Visualize Trendlines and Sparklines with Excel * Analyze Data with the Data Analysis ToolPa 8 - GETTING AND TRANSFORMING DATA * Connect to Data with Queries * Clean and Combine Data * Shape and Transform Data 9 - MODELING AND ANALYZING DATA WITH POWER PIVOT * Install Power Pivot in Excel * Create Data Models with Power Pivot * Create Power Pivots * Perform Advanced Data Analysis and Visualization 10 - PRESENTING INSIGHTS WITH REPORTS (OPTIONAL) * Plan a Report * Create a Report

Duration 2 Days 12 CPD hours This course is intended for This course is intended for business users who have been using Power BI to build analytic solutions and are ready to take advantage of the power and flexibility that DAX provides. Learning DAX is a very common 'next step' for experienced Power BI users. Overview At course completion, you should be able to describe DAX syntax, data types, and errors use DAX to create calculated columns, measures, and tables explain how DAX calculations are evaluated, along with the differences between row context and filter context configure and use Time Intelligence to perform common time-based calculations, for example to-date calculations, year-over-year analysis, moving averages, etc. create calculated columns and measures that use data from multiple tables in the data model write measures that handle error conditions gracefully use DAX to enhance the Power BI user experience use DAX Studio to connect to a Power BI data model and execute simple queries Welcome to Introduction to DAX for Power BI. This two-day instructor-led course is intended for business users who have been using Power BI and want to use DAX to create custom calculations in their data models. In this class, you will be introduced to using Data Analysis Expressions (DAX), which is the expression language that is used to create custom calculations in the Power BI Data model. The course covers some of the theoretical underpinnings of the data model and the DAX language, but the emphasis is on using DAX to solve common business problems. You will learn how to write your own calculated columns, measures, and tables, how to visualize the way Power BI computes DAX calculations, and how to troubleshoot custom code. MODULE 1: GETTING STARTED WITH DAX * INTRODUCTION TODAX * CREATING OBJECTS WITHDAX * CONTEXT AND RULES OF EVALUATION * VARIABLES,COMMENTS,AND TESTING MODULE 2: PERFORMING BASIC CALCULATIONS * GETTING STARTED * IMPLICIT MEASURES * ADDING QUICK MEASURES * WORKING WITH DAX DATA TYPES . * DOING BASIC MATH * USING LOGIC IN YOUR CALCULATIONS * USING THE IF() FUNCTION * NESTED IF() * USING THE SWITCH() FUNCTION * ADVANCED SWITCH() * LOGICAL OPERATORS & FUNCTIONS: ||, OR(), &&, AND(), NOT() * AGGREGATING AND SUMMARIZING DATA * THE SUM() FUNCTION MODULE 3: WORKING WITH CONTEXT IN THE DATA MODEL * CONTEXT DEFINED * DATA MODELING BASICS * INTRODUCTION TO DIMENSIONAL MODELING * RELATIONSHIPS AND THEIR EFFECT ON THE EVALUATION CONTEXT * GETTING DATA FROM OTHER TABLES USING RELATED() AND RELATEDTABLE * LOOKING UP DATA WITHOUT USING RELATIONSHIPS * MODIFYING THE CONTEXT USING CALCULATE() MODULE 4: PERFORMING MORE ADVANCED CALCULATIONS * THE DAX ITERATOR FUNCTIONS * USING TABLE MANIPULATION FUNCTIONS MODULE 5: WORKING WITH TIME * PERFORMING DATE CALCULATIONS * WORKING WITH DATE TABLES * GENERATING A DATE TABLE WITH THE CALENDAR() FUNCTION * DEFINING CUSTOM OPERATING PERIODS * YTD, QTD, AND MTD CALCULATIONS * CUSTOM TO-DATE CALCULATIONS * FINDING YEAR-OVER-YEAR CHANGE * FINDING MOVING AVERAGES MODULE 6: ENHANCING THE USER EXPERIENCE * CONTROLLING VISIBILITYOF YOUR MEASURES * USING WHAT-IF PARAMETERS * ADDING BANDING * USING DAX TO PROVIDE ROW-LEVEL SECURITY