Business Intelligence Courses
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1. SQL - MySQL for Data Analytics and Business Intelligence
SQL that will get you hired – SQL for Business Analysis, Marketing, and Data Management
Content:
- Become an expert in SQL
- Learn how to code in SQL
- Boost your resume by learning an in-demand skill
2. SQL for Data Analysis: Beginner MySQL Business Intelligence
Learn SQL database querying w/ MySQL Workbench. Perfect for SQL beginners and first-time coders.
Content:
- Write SQL queries to explore and analyze databases with MySQL Workbench
- Learn how to use SQL to extract
- sort
- filter
- and group data quickly and efficiently
- Analyze data across multiple tables with powerful MySQL JOIN statements
3. Advanced SQL: MySQL Data Analysis & Business Intelligence
Master advanced SQL database coding w/ MySQL Workbench. My SQL course takes your SQL analysis skills to new heights!
Content:
- Write advanced SQL queries to explore and analyze databases with MySQL Workbench
- Learn how to use subqueries and temporary tables to handle complex multi-step data problems
- Solve practical hands-on assignments and real-world eCommerce use cases
4. Microsoft Power BI - Business Intelligence for Beginners
Beginner Course on Power BI : Business Intelligence & Data/Business Analysis with Microsoft Power BI
Content:
- Learn to use the easiest Business Intelligence tool to create stunning reports and dashboards.
- learn how you can visualize that data in a meaningful way to revile insights into your business like never before.
- learn how
- with Power BI
- to connect to multiple sources of data like SQL Server
- Excel
- CSV
- JSON
- XML
- Web and SQL Analysis Services etc....
5. Learn SSRS SQL Reporting & Business Intelligence Essentials
SQL Reporting using SSRS gives you hands-on knowledge to make great SQL reports with Business Intelligence essentials
Content:
- By the end of this course
- you will be able to create great SSRS reports.
- You will learn how to extract data from a database
- You will learn how to organize large amounts of data into concise reports
6. SAP BI /SAP Business Objects Web Intelligence
SAP BO 4.1 Web Intelligence course gives you the comprehensive reporting knowledge and real-project perspective !
Content:
- Over 26 lectures and 5 hours of content!
- Enhance your SAP Business Objects knowledge
- Create your own Web Intelligence report by using different data sources
7. Oracle Fusion Technical-Business Intelligence & OTBI Reports
Oracle Fusion(Oracle Cloud) Techincal Training SAAS (R13 ) - Bi Publisher Reports For Oracle Apps Technical Developers
Content:
- How to create user in oracle fusion application with base tables
- how to run bi publisher report in oracle fusion Application by creating as ESS Job
- bursting in bi publisher oracle fusion application
8. Data Warehousing and Business Intelligence for Managers
Manage Data Warehousing and Business Intelligence Developers and Projects
Content:
- Manage an Analytics project
- Manage an ETL team
- Present Analytics topics to your clients
9. Getting started with Sap Analytics Cloud
Best course to learn SAP analytics cloud with complete practical examples
Content:
- Basics and advanced techniques of SAP Analytics Cloud
- Building Data models using Flat files and Bigquery
- Design your own Stories and Analytical applications using SAP SAC
10. Business Analysis Masterclass (5 courses in 1)
All the skills you need for Business Analyst career track. Tableau, Python, Excel, SQL, BigQuery. All-in-one Mega course
Content:
- Learn about basic formatting in excel.
- Learn about sorting and filtering functions in excel.
- Learn about UPPER
- LOWER
- PROPER
- LEFT
- RIGHT
- SEARCH
- CONCATENATE functions in excel.
11. MicroStrategy for Business Intelligence
Comprehensive course on MicroStrategy Desktop and Web Dashboards
Content:
- Overview of Data warehousing and Dimensional Modeling
- Attributes
- facts
- hierarchies and transformations
- Metrics
- Prompts
- Search objects in MicroStrategy
12. Business Intelligence: Strategies, Tools & Techniques
Business Intelligence: Learn the basic principles & elements of business intelligence. Business Intelligence strategies
Content:
- Understand the basic principles and elements of Business Intelligence
- Learn how Business Intelligence leads to sustainable and profitable growth
- Learn how organizations use Business Intelligence systems
13. SQLServer 2019 Data Analytics & Tableau Data Visualisation
Learn SQL that will get you hired – SQL for Business & Statistical Analysis, Marketing, Data Management and BI
Content:
- Become highly competent in writing all types of SQL (simple to complex) preparing you for your BI Projects
- With SQL skills learned here you can extract data from any Relational Database including Oracle
- PostgreSQL
- MySQL and many more
- How to visualise the data using Tableau the most popular data visualisation & business intelligence tool out there
14. Fundamentals of Business Intelligence & Data Analytics World
Learn how SQL Server, SSIS, SSAS, SSRS, DB2, Teradata, Informatica, Data Stage, Tibco, Cognos etc fit in BI architecture
Content:
- Learn about typical BI Project Lifecycle
- Learn about end-to-end BI Architecture
- Learn about different career tracks in a BI Architecture
15. Machine Learning for BI, PART 2: Classification Modeling
Demystify Machine Learning and build foundational Data Science skills for classification & prediction, without any code!
Content:
- Build foundational machine learning & data science skills
- without writing complex code
- Use intuitive
- user-friendly tools like Microsoft Excel to introduce & demystify machine learning tools & techniques
- Enrich datasets by using feature engineering techniques like one-hot encoding
- scaling
- and discretization
16. Big Data & Business Intelligence
Everything You Need To Know About Big Data and Business Intelligence for the Modern Workplace
Content:
- Describe the purpose and uses of Business Intelligence & Big Data in the business world today
- • Identify the terminology used in Big Data and quantitative analysis programs in general
- • Build a dataset based on gathering data from multiple sources and merging those databases into a single unified set
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