427 Data Analyst courses

12 in 1 Career Guided Programme | Python, Data Science, ML, Tableau, SQL Programming, Data Mining, Business Analysis | 130 CPD Points | Tutor Support | Lifetime Access

Get ready for an exceptional online learning experience with the Big Data Analysis, Data Science, Fintech & Python for Data Analyst bundle! This carefully curated collection of 20 premium courses is designed to cater to a variety of interests and disciplines. Dive into a sea of knowledge and skills, tailoring your learning journey to suit your unique aspirations. The Big Data Analysis, Data Science, Fintech & Python for Data Analyst is a dynamic package, that blends the expertise of industry professionals with the flexibility of digital learning. It offers the perfect balance of foundational understanding and advanced insights. Whether you're looking to break into a new field or deepen your existing knowledge, the Data Analysis package has something for everyone. As part of the Big Data Analysis, Data Science, Fintech & Python for Data Analyst package, you will receive complimentary PDF certificates for all courses in this bundle at no extra cost. Equip yourself with the Data Analysis bundle to confidently navigate your career path or personal development journey. Enrol today and start your career growth! This bundle comprises the following courses: CPD Quality Standards Courses: 1. Big Data Analytics with PySpark Power BI and MongoDB 2. Big Data Analytics with PySpark Tableau Desktop and MongoDB 3. Building Big Data Pipelines with PySpark MongoDB and Bokeh 4. Develop Big Data Pipelines with R & Sparklyr & Tableau 5. Develop Big Data Pipelines with R, Sparklyr & Power BI 6. Learn Python, JavaScript, and Microsoft SQL for Data Science 7. SQL for Data Science, Data Analytics, and Data Visualization 8. Excel Data Analysis 9. Introduction to Data Analytics with Tableau 10. Business and Data Analytics for Beginners 11. Google Data Studio: Data Analytics 12. Basic Data Analysis 13. FinTech Learning Outcome: * Gain comprehensive insights into multiple fields. * Foster critical thinking and problem-solving skills across various disciplines. * Understand industry trends and best practices through the Data Analysis Bundle. * Develop practical skills applicable to real-world situations. * Enhance personal and professional growth with Data Analysis. * Build a strong knowledge base in your chosen course via Data Analysis. * Benefit from the flexibility and convenience of online learning. * With the Data Analysis package, validate your learning with a CPD certificate. Each course in this bundle holds a prestigious CPD accreditation, symbolising exceptional quality. The materials, brimming with knowledge, are regularly updated, ensuring their relevance. This bundle promises not just education but an evolving learning experience. Engage with this extraordinary collection, and prepare to enrich your personal and professional development. Embrace the future of learning with the Big Data Analysis, Data Science, Fintech & Python for Data Analyst, a rich anthology of 15 diverse courses. Each course in the Data Analysis bundle is handpicked by our experts to ensure a wide spectrum of learning opportunities. ThisBig Data Analysis, Data Science, Fintech & Python for Data Analyst bundle will take you on a unique and enriching educational journey. The bundle encapsulates our mission to provide quality, accessible education for all. Whether you are just starting your career, looking to switch industries, or hoping to enhance your professional skill set, the Big Data Analysis, Data Science, Fintech & Python for Data Analyst bundle offers you the flexibility and convenience to learn at your own pace. Make the Data Analysis package your trusted companion in your lifelong learning journey. CPD 35 CPD hours / points Accredited by CPD Quality Standards WHO IS THIS COURSE FOR? The Big Data Analysis, Data Science, Fintech & Python for Data Analyst bundle is perfect for: * Lifelong learners looking to expand their knowledge and skills. * Professionals seeking to enhance their career with CPD certification. * Individuals wanting to explore new fields and disciplines. * Anyone who values flexible, self-paced learning from the comfort of home. CAREER PATH Unleash your potential with the Big Data Analysis, Data Science, Fintech & Python for Data Analyst bundle. Acquire versatile skills across multiple fields, foster problem-solving abilities, and stay ahead of industry trends. Ideal for those seeking career advancement, a new professional path, or personal growth. Embrace the journey with the Data Analysis bundle package. CERTIFICATES CERTIFICATE OF COMPLETION Digital certificate - Included CERTIFICATE OF COMPLETION Hard copy certificate - Included You will get a complimentary Hard Copy Certificate.

Bring Your Data To Life | Designed by Industry Specialist | Level 7 | QLS Endorsed Diploma | Certificate Included

Get ready for an exceptional online learning experience with the Business Management, Business Finance with Data Analysis for Business & Data Analyst bundle! This carefully curated collection of 30 premium courses is designed to cater to a variety of interests and disciplines. Dive into a sea of knowledge and skills, tailoring your learning journey to suit your unique aspirations. The Business Management & Finance with Data Analysis is a dynamic package, blending the expertise of industry professionals with the flexibility of digital learning. It offers the perfect balance of foundational understanding and advanced insights. Whether you're looking to break into a new field or deepen your existing knowledge, the Business Management, Business Finance with Data Analysis for Business & Data Analyst package has something for everyone. As part of the Business Management & Finance with Data Analysis package, you will receive complimentary PDF certificates for all courses in this bundle at no extra cost. Equip yourself with the Business Management, Business Finance with Data Analysis for Business & Data Analyst bundle to confidently navigate your career path or personal development journey. Enrol today and start your career growth! This Bundle Comprises the Following Business Management, Business Finance with Data Analysis for Business & Data Analyst CPD Accredited Courses: * Course 01: Diploma in Business Analysis * Course 02: Business Management * Course 03: Business Intelligence Analyst Course * Course 04: Financial Ratio Analysis for Business Decisions * Course 05: Business Model Canvas for Business Plan * Course 06: Financial Analysis * Course 07: Data Analytics * Course 08: Learn to Create Growth Projections for Your Business * Course 09: PMI Agile Certified Practitioner (PMI-ACP) Exam Preparation Course * Course 10: Business Law * Course 11: Business Plan * Course 12: Entrepreneurship Training * Course 13: Investment * Course 14: Business Performance Management * Course 15: Developing Strategic Executive Management * Course 16: GDPR * Course 17: Compliance & Business Risk Management * Course 18: Business Accounting Training * Course 19: Cost Control & Project Scheduling * Course 20: Dealing With Uncertainty: Make Budgets and Forecasts * Course 21: Decision Making and Critical Thinking * Course 22: Effective Communication Skills * Course 23: Career Development Plan Fundamentals * Course 24: CV Writing and Job Searching * Course 25: Learn to Level Up Your Leadership * Course 26: Networking Skills for Personal Success * Course 27: Ace Your Presentations: Public Speaking Masterclass * Course 28: Learn to Make a Fresh Start in Your Life * Course 29: Excel: Top 50 Microsoft Excel Formulas in 50 Minutes! * Course 30: Decision Making and Critical Thinking What will make you stand out? Upon completion of this online Business Management & Finance with Data Analysis bundle, you will gain the following: * CPD QS Accredited Proficiency with this Business Management, Business Finance with Data Analysis for Business & Data Analyst * After successfully completing the Business Management, Business Finance with Data Analysis for Business & Data Analyst bundle, you will receive a FREE CPD PDF Certificates as evidence of your newly acquired abilities. * Lifetime access to the whole collection of learning materials of this Business Management & Finance with Data Analysis. * The online test with immediate results * You can study and complete the Business Management & Finance with Data Analysis bundle at your own pace. * Study for the Business Management & Finance with Data Analysis bundle using any internet-connected device, such as a computer, tablet, or mobile device. Each course in this Business Management, Business Finance with Data Analysis for Business & Data Analyst bundle holds a prestigious CPD accreditation, symbolising exceptional quality. The materials, brimming with knowledge, are regularly updated, ensuring their relevance. This bundle promises not just education but an evolving learning experience. Engage with this extraordinary collection, and prepare to enrich your personal and professional development. Embrace the future of learning with the Business Management & Finance with Data Analysis, a rich anthology of 30 diverse courses. Each course in the Business Management, Business Finance with Data Analysis for Business & Data Analyst bundle is handpicked by our experts to ensure a wide spectrum of learning opportunities. This Business Management & Finance with Data Analysis bundle will take you on a unique and enriching educational journey. The bundle encapsulates our mission to provide quality, accessible education for all. Whether you are just starting your career, looking to switch industries, or hoping to enhance your professional skill set, the Business Management & Finance with Data Analysis bundle offers you the flexibility and convenience to learn at your own pace. Make the Business Management, Business Finance with Data Analysis for Business & Data Analyst package your trusted companion in your lifelong learning journey. CPD 300 CPD hours / points Accredited by CPD Quality Standards WHO IS THIS COURSE FOR? The Business Management & Finance with Data Analysis bundle is perfect for: * Lifelong learners looking to expand their knowledge and skills. * Professionals seeking to enhance their career with CPD certification. * Individuals wanting to explore new fields and disciplines. * Anyone who values flexible, self-paced learning from the comfort of home. REQUIREMENTS You are cordially invited to enroll in this Business Management, Business Finance with Data Analysis for Business & Data Analyst bundle; please note that there are no formal prerequisites or qualifications required. We've designed this curriculum to be accessible to all, irrespective of prior experience or educational background. CAREER PATH Unleash your potential with the Business Management, Business Finance with Data Analysis for Business & Data Analyst bundle. Acquire versatile skills across multiple fields, foster problem-solving abilities, and stay ahead of industry trends. Ideal for those seeking career advancement, a new professional path, or personal growth. Embrace the journey with thisbundle package. CERTIFICATES CPD QUALITY STANDARD CERTIFICATE Digital certificate - Included 30 CPD Accredited Digital Certificates and A Hard Copy Certificate

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 1 Days 6 CPD hours This course is intended for This course is designed for professionals in a variety of job roles who receive Power BI data visualizations and reports from data analysts or from data visualization engineers. These data report recipients want to use the features and capabilities of Power BI to fully explore the visualizations and initial analyses provided to them in reports, perform additional analysis to ask next-level questions of the data, and to customize and create new visualizations and dashboards in order to share new insights and create compelling reports. Overview Explore Power BI reports. Analyze data to get answers and insights. Sort and group data for analysis and reporting. Filter visualizations. Prepare reports. Troubleshoot, collaborate, and share reports. 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. Microsoft Power BI 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 to business data decision makers. These decision makers can use Power BI'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 have experience managing data with Microsoft Excel or Google Sheets 1. EXPLORING POWER BI REPORTS * Topic A: Data Analysis Workflow with Power BI * Topic B: Explore Reports in the Power BI Service * Topic C: Edit Reports 2. ANALYZING DATA TO GET ANSWERS AND INSIGHTS * Topic A: Configure Data Visualizations * Topic B: Ask New Questions by Changing Aggregation * Topic C: Find Answers with Calculations 3. SORTING AND GROUPING DATA FOR ANALYSIS AND REPORTING * Topic A: Sort Data * Topic B: Group Data 4. FILTERING VISUALIZATIONS * Topic A: Filter Data to Refine Analysis * Topic B: Create Slicers for Reports 5. PREPARING REPORTS * Topic A: Format and Annotate Reports * Topic B: Emphasize Data in Reports 6. TROUBLESHOOTING, SHARING, AND COLLABORATING * Topic A: Troubleshoot Data Issues * Topic B: Collaborate in Power BI * Topic C: Collaborate with Non-Power BI Users

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.

Duration 4 Days 24 CPD hours This course is intended for This course is designed for data analysts, business intelligence specialists, developers, system architects, and database administrators. Overview Skills gained in this training include:The features that Pig, Hive, and Impala offer for data acquisition, storage, and analysisThe fundamentals of Apache Hadoop and data ETL (extract, transform, load), ingestion, and processing with HadoopHow Pig, Hive, and Impala improve productivity for typical analysis tasksJoining diverse datasets to gain valuable business insightPerforming real-time, complex queries on datasets Cloudera University?s four-day data analyst training course focusing on Apache Pig and Hive and Cloudera Impala will teach you to apply traditional data analytics and business intelligence skills to big data. HADOOP FUNDAMENTALS * The Motivation for Hadoop * Hadoop Overview * Data Storage: HDFS * Distributed Data Processing: YARN, MapReduce, and Spark * Data Processing and Analysis: Pig, Hive, and Impala * Data Integration: Sqoop * Other Hadoop Data Tools * Exercise Scenarios Explanation INTRODUCTION TO PIG * What Is Pig? * Pig?s Features * Pig Use Cases * Interacting with Pig BASIC DATA ANALYSIS WITH PIG * Pig Latin Syntax * Loading Data * Simple Data Types * Field Definitions * Data Output * Viewing the Schema * Filtering and Sorting Data * Commonly-Used Functions PROCESSING COMPLEX DATA WITH PIG * Storage Formats * Complex/Nested Data Types * Grouping * Built-In Functions for Complex Data * Iterating Grouped Data MULTI-DATASET OPERATIONS WITH PIG * Techniques for Combining Data Sets * Joining Data Sets in Pig * Set Operations * Splitting Data Sets PIG TROUBLESHOOT & OPTIMIZATION * Troubleshooting Pig * Logging * Using Hadoop?s Web UI * Data Sampling and Debugging * Performance Overview * Understanding the Execution Plan * Tips for Improving the Performance of Your Pig Jobs INTRODUCTION TO HIVE & IMPALA * What Is Hive? * What Is Impala? * Schema and Data Storage * Comparing Hive to Traditional Databases * Hive Use Cases QUERYING WITH HIVE & IMPALA * Databases and Tables * Basic Hive and Impala Query Language Syntax * Data Types * Differences Between Hive and Impala Query Syntax * Using Hue to Execute Queries * Using the Impala Shell DATA MANAGEMENT * Data Storage * Creating Databases and Tables * Loading Data * Altering Databases and Tables * Simplifying Queries with Views * Storing Query Results DATA STORAGE & PERFORMANCE * Partitioning Tables * Choosing a File Format * Managing Metadata * Controlling Access to Data RELATIONAL DATA ANALYSIS WITH HIVE & IMPALA * Joining Datasets * Common Built-In Functions * Aggregation and Windowing WORKING WITH IMPALA * How Impala Executes Queries * Extending Impala with User-Defined Functions * Improving Impala Performance ANALYZING TEXT AND COMPLEX DATA WITH HIVE * Complex Values in Hive * Using Regular Expressions in Hive * Sentiment Analysis and N-Grams * Conclusion HIVE OPTIMIZATION * Understanding Query Performance * Controlling Job Execution Plan * Bucketing * Indexing Data EXTENDING HIVE * SerDes * Data Transformation with Custom Scripts * User-Defined Functions * Parameterized Queries CHOOSING THE BEST TOOL FOR THE JOB * Comparing MapReduce, Pig, Hive, Impala, and Relational Databases * Which to Choose?

Duration 2 Days 12 CPD hours This course is intended for The primary audience for this course are persons who are new to reporting with Microsoft© SQL Server© Report Builder and SSRS, persons who are transitioning from another reporting software application, and persons who are existing Report Builder and SSRS report authors. The secondary audience for this course are persons who are using Report Designer (SSRS). Course participants may be business analysts, programmer analysts, data analysts, database administrators, or IT professionals and may or may not have experience with Microsoft© SQL Server© Report Builder and SSRS, programming (Visual Basic), and/or Transact-Structured Query Language (T-SQL) experience. Overview After completing this course, students will be able to: Create parameter reports. Create list reports. Format reports with complex expressions. Add images and subreports. Add drilldown and drillthrough functionality. Add sparklines, data bars, and indicators. In this course, students will continue their learning on the foundations of report writing with Microsoft© SQL Server© Report Builder and SSRS. The focus will be on report creation by connecting to a database and manipulating the data. 1 - PARAMETER REPORTS * Parameterized Reporting * Create Report Parameters * Modify Report Parameters * Provide Default Parameter Values * Provide Available Values for Parameters * Lab: Creating Parameterized Reports 2 - LIST DATA REGIONS * Introducing the List Data Region * Create Reports Using List Data Regions * Modify Reports Which Use List Data Regions * Lab: Creating List Reports 3 - ENHANCING REPORTS WITH COMPLEX EXPRESSIONS * Formatting Reports * Top N Reports * Running Values * Lab: Enhancing Reports with Complex Expressions 4 - ENHANCE REPORTS WITH IMAGES AND SUBREPORTS * Add Images to Reports * Retrieve Images from a Database * Introducing SSRS (SQL Server Reporting Services) Report Server * Add Subreports to Reports * Lab: Working With Images and Subreports 5 - DRILLDOWN AND DRILLTHROUGH REPORTS * Add and Configure Drilldown Reporting * Add and Configure Drillthrough Reporting * Lab: Add Drilldown and Drillthrough Functionality to Reports 6 - SPARKLINES, DATA BARS, AND INDICATORS * Sparklines * Data Bars * Indicators * Lab: Adding Sparklines, Data Bars, and Indicators to Reports ADDITIONAL COURSE DETAILS: Nexus Humans 55128 Writing Reports with Report Builder and SSRS Level 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 55128 Writing Reports with Report Builder and SSRS Level 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