Business Intelligence Tools - Ssis | Bi |Tableau | Alteryx
Published 8/2023
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 1.96 GB | Duration: 5h 49m
Published 8/2023
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 1.96 GB | Duration: 5h 49m
Unleashing Data Insights: Harnessing SSIS, BI, Tableau, and Alteryx
What you'll learn
Understand the fundamentals of Business Intelligence and its significance in modern organizations.
Master SQL Server Integration Services (SSIS) for efficient data extraction, transformation, and loading (ETL) processes.
Create interactive and visually appealing data visualizations using Power BI.
Master Tableau's interface and understand its role in data visualization.
Create various types of visualizations in Tableau
Design interactive dashboards and stories in Tableau to convey data-driven narratives.
Implement data preparation and transformation techniques using Alteryx.
Perform data cleansing, validation, and enrichment using Alteryx's tools.
Interpret data visualizations to extract actionable insights for decision-making.
Develop a comprehensive BI toolkit by mastering SSIS, Power BI, Tableau, and Alteryx.
Understand BI Fundamentals: Grasp the foundational principles of Business Intelligence
Master SSIS Techniques: Learn to design and execute ETL processes using SQL Server Integration Services (SSIS) to efficiently extract, transform, and load data.
Harness the Power of Power BI: Create interactive and engaging visualizations using Power BI
Develop proficiency in Tableau to generate impactful visualizations, interactive dashboards, and insightful data stories.
Gain hands-on experience in Alteryx to blend, cleanse, and prepare data for analysis, predictive modeling, and automation.
Apply Data Analysis Skills: Utilize advanced analytical techniques to extract meaningful insights from diverse datasets
Craft Data-Driven Strategies: Learn to make informed decisions and drive strategic initiatives based on accurate and timely data insights.
Requirements
No prior experience in business intelligence or data analytics is required. However, a basic understanding of databases and familiarity with data manipulation concepts will be beneficial. Comfort with using computers and software applications is recommended.
Description
Uncover the strategic potential of data through our immersive course, "Business Intelligence Essentials: From Data to Insights." In today's rapidly evolving business landscape, the ability to extract meaningful insights from data is not just a competitive advantage – it's a necessity. This course will empower you with the skills and tools to transform raw data into actionable insights, enabling smarter decision-making and driving business success.What Students Will Learn:This course delves into the heart of Business Intelligence (BI) by providing a comprehensive exploration of its core elements. You will:1. Grasp the Fundamentals: Understand the foundational concepts of Business Intelligence, including the data lifecycle, data integration, and the significance of data-driven decision-making.2. Excel with Industry-Leading Tools:SSIS (SQL Server Integration Services): Master the art of designing, executing, and automating ETL (Extract, Transform, Load) processes using SSIS, enabling efficient data integration and transformation.Power BI: Create captivating visualizations and interactive dashboards using Power BI. Dive into data modeling, develop DAX calculations, and craft compelling data stories.Tableau: Harness Tableau's capabilities to generate dynamic visualizations, from basic charts to sophisticated dashboards, enabling you to uncover insights that resonate.Alteryx: Explore Alteryx's data preparation and blending prowess. Learn to transform raw data into refined insights and gain hands-on experience with predictive analytics.3. Develop Analytical Mastery:Implement advanced analytical techniques to unearth hidden patterns, trends, and anomalies within diverse datasets.Translate complex data into actionable insights, empowering stakeholders to make informed decisions.4. Apply Insights Strategically:Cultivate the ability to turn insights into strategies. Learn how to drive business growth, optimize processes, and mitigate risks using data-backed decisions.Prerequisites:No prior experience in Business Intelligence is required. However, a basic familiarity with databases and data manipulation concepts will enhance your learning experience. Additionally, comfort with using computers and software applications is recommended.Who Is This Course For?This course caters to a diverse audience of:Business Professionals aiming to leverage data insights for strategic decision-making.Aspiring Data Analysts seeking a comprehensive introduction to BI tools and techniques.IT Professionals looking to bolster their skills in data integration, transformation, and visualization.Entrepreneurs interested in harnessing the power of data to drive innovation and growth.Embark on Your BI Journey:In a data-centric era, proficiency in Business Intelligence tools and practices is no longer optional – it's essential. Whether you're an executive aiming to harness insights for strategic advantage, a student aspiring to enter the world of data analytics, or an entrepreneur with an eye on data-driven innovation, this course equips you with the expertise to navigate the complexities of data and emerge as a valuable asset in the modern business landscape.
Overview
Section 1: Introduction to Business Intelligence and Data Integration
Lecture 1 Introduction
Lecture 2 Understanding Business Intelligence Concepts and Its Importance
Lecture 3 Overview of BI tools (Tableau, Power BI, Alteryx, SSIS)
Section 2: Microsoft SQL Server | Visual Studio Setup
Lecture 4 What is SQL Server
Lecture 5 SQL Server Edition
Lecture 6 SQL Server Installation Requirements
Lecture 7 Download SQL Server
Lecture 8 Install SQL Server
Lecture 9 Install SSMS
Lecture 10 Connect SSMS to SQL Server
Lecture 11 Install sample database
Lecture 12 What is Visual Studio
Lecture 13 Visual studio installation requirements
Lecture 14 Install Visual Studio
Lecture 15 Visual studio workloads
Lecture 16 Install SQL Server Data Tools
Lecture 17 Install SSDT Extensions
Section 3: Implementing ETL with SSIS
Lecture 18 Introduction to ETL (Extract, Transform, Load) processes
Lecture 19 Overview of SSIS (SQL Server Integration Services) as an ETL tool
Lecture 20 Create an SSIS Project
Lecture 21 SSIS Designer
Lecture 22 Add and configure a flat file connection manager
Lecture 23 Remapping Column Data Types
Lecture 24 Add and configure an OLE DB Connection Manager
Lecture 25 Add a data flow task to package
Lecture 26 Add and configure the flat file source
Lecture 27 Add and configure the lookup transformations
Lecture 28 Add and configure Lookup for datekey transformations
Lecture 29 Add and configure the OLE DB Destination
Lecture 30 Test SSIS Package
Section 4: Power BI Setup
Lecture 31 What is Power BI
Lecture 32 What is Power BI Desktop
Lecture 33 Office 365 Setup
Lecture 34 Getting started with Microsoft Business 365
Lecture 35 Install Power BI
Lecture 36 Exploring Power BI Desktop Interface
Section 5: Power BI Overview
Lecture 37 Power BI Overview - Part 1
Lecture 38 Power BI Overview - Part 2
Lecture 39 Power BI Overview - Part 3
Lecture 40 Building Blocks of Power BI
Lecture 41 Components of Power BI
Lecture 42 Exploring Power BI Service
Lecture 43 Power BI Apps
Section 6: Data Analysis and Visualization with Power BI
Lecture 44 Connecting to data source
Lecture 45 Clean and transform data - Part 1
Lecture 46 Clean and transform data - Part 2
Lecture 47 Combine data sources
Lecture 48 Create visualization - Part 1
Lecture 49 Create visualization - Part 2
Section 7: Alteryx for Data Preparation and Analytics
Lecture 50 Introduction to Alteryx for data blending and preparation
Lecture 51 Creating a basic workflow
Lecture 52 Connecting to data
Lecture 53 Viewing data
Lecture 54 Transforming Data
Lecture 55 Adding a new column
Lecture 56 Filtering data
Lecture 57 Blend and analyse data
Lecture 58 Splitting columns
Lecture 59 Analyse data based on a column
Section 8: Data Visualization with Tableau
Lecture 60 Overview of Tableau as a data visualization tool
Lecture 61 Tableau Public Desktop
Lecture 62 Tableau Public Desktop Overview - Part 1
Lecture 63 Tableau Public Desktop Overview - Part 2
Lecture 64 Tableau Online
Lecture 65 Tableau Data Sources
Lecture 66 Connecting to data source
Lecture 67 Join related data sources
Lecture 68 Join data sources with inconsistent fields
Lecture 69 Data cleaning
Lecture 70 Tableau Interface
Lecture 71 Reordering Visualization
Lecture 72 Change summary
Lecture 73 Split text into multiple columns
Lecture 74 Presenting data using stories
Business Professionals: Managers, executives, and decision-makers seeking to leverage data insights to enhance business performance and strategic planning,Data Enthusiasts: Individuals interested in exploring the world of data analysis, visualization, and BI tools to unlock insights from raw data.,Aspiring Analysts: Students and entry-level professionals aiming to build a strong foundation in business intelligence tools and techniques.,IT Professionals: Those looking to enhance their skills in data integration, transformation, and visualization tools commonly used in BI projects.,Entrepreneurs: Business owners who want to make informed decisions by harnessing the power of data analytics and visualization.