Business Intelligence Analyst – Power BI ,Tableau
Business Intelligence Analyst – Power BI ,Tableau, available at $54.99, has an average rating of 4.45, with 80 lectures, based on 90 reviews, and has 656 subscribers.
You will learn about Connect to various data sources with Power BI Connect to various data sources with Tableau Clean and transform data with Power BI Clean and transform data with Tableau Analyse data with Power BI Analyse data with Tableau Create data visualization with Power BI Create data visualization with Tableau This course is ideal for individuals who are Beginner Data Analyst or Beginner BI Analyst or Beginner Data Engineers or Beginner Data Scientist It is particularly useful for Beginner Data Analyst or Beginner BI Analyst or Beginner Data Engineers or Beginner Data Scientist.
Enroll now: Business Intelligence Analyst – Power BI ,Tableau
Summary
Title: Business Intelligence Analyst – Power BI ,Tableau
Price: $54.99
Average Rating: 4.45
Number of Lectures: 80
Number of Published Lectures: 80
Number of Curriculum Items: 80
Number of Published Curriculum Objects: 80
Original Price: $69.99
Quality Status: approved
Status: Live
What You Will Learn
- Connect to various data sources with Power BI
- Connect to various data sources with Tableau
- Clean and transform data with Power BI
- Clean and transform data with Tableau
- Analyse data with Power BI
- Analyse data with Tableau
- Create data visualization with Power BI
- Create data visualization with Tableau
Who Should Attend
- Beginner Data Analyst
- Beginner BI Analyst
- Beginner Data Engineers
- Beginner Data Scientist
Target Audiences
- Beginner Data Analyst
- Beginner BI Analyst
- Beginner Data Engineers
- Beginner Data Scientist
Business intelligence (BI) helps organizations analyse historical and current data, so they can quickly uncover actionable insights for making strategic decisions.
Business intelligence tools make this possible by processing large data sets across multiple sources and presenting findings in visual formats that are easy to understand and share.
Business intelligence systems combine data gathering, data storage, and knowledge management with data analysis to evaluate and transform complex data into meaningful, actionable information, which can be used to support more effective strategic, tactical, and operational insights and decision-making.
Business intelligence environments consist of a variety of technologies, applications, processes, strategies, products, and technical architectures used to enable the collection, analysis, presentation, and dissemination of internal and external business information.
How business intelligence works
There are four keys steps that business intelligence follows to transform raw data into easy-to-digest insights for everyone in the organization to use. The first three—data collection, analysis, and visualization—set the stage for the final decision-making step. Before using BI, businesses had to do much of their analysis manually, but BI tools automate many of the processes and save companies time and effort.
Step 1: Collect and transform data from multiple sources
Business intelligence tools typically use the extract, transform, and load (ETL) method to aggregate structured and unstructured data from multiple sources. This data is then transformed and remodelled before being stored in a central location, so applications can easily analyse and query it as one comprehensive data set.
Step 2: Uncover trends and inconsistencies
Data mining, or data discovery, typically uses automation to quickly analyse data to find patterns and outliers which provide insight into the current state of business. BI tools often feature several types of data modelling and analytics—including exploratory, descriptive, statistical, and predictive—that further explore data, predict trends, and make recommendations.
Step 3: Use data visualization to present findings
Business intelligence reporting uses data visualizations to make findings easier to understand and share. Reporting methods include interactive data dashboards, charts, graphs, and maps that help users see what’s going on in the business right now.
Step 4: Take action on insights in real time
Viewing current and historical data in context with business activities gives companies the ability to quickly move from insights to action. Business intelligence enables real time adjustments and long-term strategic changes that eliminate inefficiencies, adapt to market shifts, correct supply problems, and solve customer issues.
Power BI is a collection of software services, apps, and connectors that work together to turn your
unrelated sources of data into coherent, visually immersive, and interactive insights. Your data may be an Excel spreadsheet,
or a collection of cloud-based and on-premises hybrid data warehouses. Power BI lets you easily connect to your data sources,
visualize and discover what’s important, and share that with anyone or everyone you want.
Power BI consists of several elements that all work together, starting with these three basics:
-
A Windows desktop application called Power BI Desktop.
-
An online SaaS (Software as a Service) service called the Power BI service.
-
Power BI mobile apps for Windows, iOS, and Android devices.
Tableau is a data visualization and business intelligence tool used for reporting and analysing vast volumes of data.
It helps users create different charts, graphs, maps, dashboards, and stories for visualizing and analysing data, to help in making business decisions.
It can connect to several data sources . Tableau enables users to create reports by joining and blending different datasets
Course Curriculum
Chapter 1: Power BI Setup
Lecture 1: Introduction
Lecture 2: Office 365 Setup
Lecture 3: What is Power BI
Lecture 4: What is Power BI Desktop
Lecture 5: Installing Power BI Desktop
Lecture 6: Power BI Desktop Tour
Chapter 2: Overview of Power BI
Lecture 1: Power BI Overview – Part 1
Lecture 2: Power BI Overview – Part 2
Lecture 3: Power BI Overview – Part 3
Lecture 4: Components of Power BI
Lecture 5: Building blocks of Power BI
Lecture 6: Exploring Power BI Desktop Interface
Lecture 7: Exploring Power BI Service
Lecture 8: Power BI Apps
Chapter 3: Data Analysis & Visualization with Power BI
Lecture 1: Connecting to web data
Lecture 2: Cleaning and transforming data – Part 1
Lecture 3: Cleaning and transforming data – Part 2
Lecture 4: Combining Data Sources
Lecture 5: Creating Visualization – Part 1
Lecture 6: Creating Visualization – Part 2
Lecture 7: Publishing reports to Power BI Service
Lecture 8: Importing and transforming data from access database file
Lecture 9: Changing the Locale
Lecture 10: Connecting to Microsoft Access Database File
Lecture 11: Power query editor and queries
Lecture 12: Creating and managing query groups
Lecture 13: Renaming queries
Lecture 14: Splitting columns
Lecture 15: Changing data types
Lecture 16: Removing and re-ordering columns
Lecture 17: Duplicating and adding columns
Lecture 18: Creating conditional columns
Lecture 19: Connecting to files in folder
Lecture 20: Appending queries
Lecture 21: Merge queries
Lecture 22: Query dependency view
Lecture 23: Transforming less structured data – Part 1
Lecture 24: Transforming less structured data – Part 2
Lecture 25: Creating tables
Lecture 26: Query parameters
Chapter 4: Connecting to Relational Databases with Power BI
Lecture 1: What is SQL Server
Lecture 2: SQL Server Editions
Lecture 3: Download SQL Server
Lecture 4: Install SQL Server
Lecture 5: Install SSMS
Lecture 6: Connecting to SQL Server with SSMS
Lecture 7: Attach sample database to SQL Server
Lecture 8: Connecting to SQL Server with Power BI
Lecture 9: What is PostgreSQL
Lecture 10: Installing PostgreSQL
Lecture 11: Connecting to PostgreSQL
Lecture 12: Attach sample database to PostgreSQL
Lecture 13: Connecting to PostgreSQL with Power BI – Part 1
Lecture 14: Connecting to PostgreSQL with Power BI – Part 2
Chapter 5: Data Modelling with Power BI
Lecture 1: What is data modelling
Lecture 2: Creating and managing data relationships
Lecture 3: Creating calculated columns
Lecture 4: Optimizing models for reporting
Lecture 5: Time intelligence
Lecture 6: Applying filters on visuals
Chapter 6: Data Analysis & Visualization with Tableau
Lecture 1: What is Tableau
Lecture 2: Tableau Public Desktop
Lecture 3: Tableau Public Desktop Overview – Part 1
Lecture 4: Tableau Public Desktop Overview – Part 2
Lecture 5: Tableau Online
Lecture 6: Tableau Data Sources
Lecture 7: Tableau File Types
Lecture 8: Tableau Help Menu
Lecture 9: Connecting to a data source
Lecture 10: Join related data sources
Lecture 11: Join data sources with inconsistent fields
Lecture 12: Data Cleaning
Lecture 13: Exploring Tableau Interface
Lecture 14: Re-order fields in visualization
Lecture 15: Change Summary
Lecture 16: Splitting text into multiple columns
Lecture 17: Presenting data using stories
Lecture 18: Add duplicate and rename worksheet
Lecture 19: Re-order clear and delete worksheet
Lecture 20: Changing worksheet tab color
Instructors
-
Bluelime Learning Solutions
Making Learning Simple
Rating Distribution
- 1 stars: 1 votes
- 2 stars: 1 votes
- 3 stars: 16 votes
- 4 stars: 29 votes
- 5 stars: 43 votes
Frequently Asked Questions
How long do I have access to the course materials?
You can view and review the lecture materials indefinitely, like an on-demand channel.
Can I take my courses with me wherever I go?
Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!
You may also like
- Top 10 Video Editing Courses to Learn in November 2024
- Top 10 Music Production Courses to Learn in November 2024
- Top 10 Animation Courses to Learn in November 2024
- Top 10 Digital Illustration Courses to Learn in November 2024
- Top 10 Renewable Energy Courses to Learn in November 2024
- Top 10 Sustainable Living Courses to Learn in November 2024
- Top 10 Ethical AI Courses to Learn in November 2024
- Top 10 Cybersecurity Fundamentals Courses to Learn in November 2024
- Top 10 Smart Home Technology Courses to Learn in November 2024
- Top 10 Holistic Health Courses to Learn in November 2024
- Top 10 Nutrition And Diet Planning Courses to Learn in November 2024
- Top 10 Yoga Instruction Courses to Learn in November 2024
- Top 10 Stress Management Courses to Learn in November 2024
- Top 10 Mindfulness Meditation Courses to Learn in November 2024
- Top 10 Life Coaching Courses to Learn in November 2024
- Top 10 Career Development Courses to Learn in November 2024
- Top 10 Relationship Building Courses to Learn in November 2024
- Top 10 Parenting Skills Courses to Learn in November 2024
- Top 10 Home Improvement Courses to Learn in November 2024
- Top 10 Gardening Courses to Learn in November 2024