Microsoft Power BI in Malayalam
Microsoft Power BI in Malayalam, available at $44.99, has an average rating of 4.69, with 49 lectures, 1 quizzes, based on 8 reviews, and has 30 subscribers.
You will learn about Introduction to Power BI: Understanding what Power BI is, its features, and its benefits for data analysis and visualization. Setting up Power BI Desktop and understanding its interface. Connecting to various data sources such as Excel spreadsheets, databases (SQL Server, MySQL, etc.), online services (like SharePoint, Dynamics 365, Google Analy Cleaning and shaping data using Power Query Editor, including tasks like renaming columns, removing duplicates, splitting columns, and creating calculated colum This course is ideal for individuals who are Individuals working in business roles such as marketing, finance, sales, operations, or human resources who need to analyze data to make informed decisions. or People interested in data analysis as a career or hobby, including those who want to transition into roles focused on data analytics. or Students studying fields like business, economics, statistics, or any other discipline involving data analysis. or Those running their own businesses who want to leverage data to understand their customers, operations, and performance better. or IT professionals who want to learn how to leverage Power BI for data visualization and reporting purposes within their organizations. It is particularly useful for Individuals working in business roles such as marketing, finance, sales, operations, or human resources who need to analyze data to make informed decisions. or People interested in data analysis as a career or hobby, including those who want to transition into roles focused on data analytics. or Students studying fields like business, economics, statistics, or any other discipline involving data analysis. or Those running their own businesses who want to leverage data to understand their customers, operations, and performance better. or IT professionals who want to learn how to leverage Power BI for data visualization and reporting purposes within their organizations.
Enroll now: Microsoft Power BI in Malayalam
Summary
Title: Microsoft Power BI in Malayalam
Price: $44.99
Average Rating: 4.69
Number of Lectures: 49
Number of Quizzes: 1
Number of Published Lectures: 48
Number of Published Quizzes: 1
Number of Curriculum Items: 53
Number of Published Curriculum Objects: 52
Original Price: $22.99
Quality Status: approved
Status: Live
What You Will Learn
- Introduction to Power BI: Understanding what Power BI is, its features, and its benefits for data analysis and visualization.
- Setting up Power BI Desktop and understanding its interface.
- Connecting to various data sources such as Excel spreadsheets, databases (SQL Server, MySQL, etc.), online services (like SharePoint, Dynamics 365, Google Analy
- Cleaning and shaping data using Power Query Editor, including tasks like renaming columns, removing duplicates, splitting columns, and creating calculated colum
Who Should Attend
- Individuals working in business roles such as marketing, finance, sales, operations, or human resources who need to analyze data to make informed decisions.
- People interested in data analysis as a career or hobby, including those who want to transition into roles focused on data analytics.
- Students studying fields like business, economics, statistics, or any other discipline involving data analysis.
- Those running their own businesses who want to leverage data to understand their customers, operations, and performance better.
- IT professionals who want to learn how to leverage Power BI for data visualization and reporting purposes within their organizations.
Target Audiences
- Individuals working in business roles such as marketing, finance, sales, operations, or human resources who need to analyze data to make informed decisions.
- People interested in data analysis as a career or hobby, including those who want to transition into roles focused on data analytics.
- Students studying fields like business, economics, statistics, or any other discipline involving data analysis.
- Those running their own businesses who want to leverage data to understand their customers, operations, and performance better.
- IT professionals who want to learn how to leverage Power BI for data visualization and reporting purposes within their organizations.
This comprehensive Power BI training program has been meticulously crafted to equip participants with the essential skills and knowledge required to fully harness the capabilities of Power BI in both data analysis and visualization. Through immersive, hands-on learning experiences, participants will explore various aspects of Power BI, ranging from mastering the user interface to seamlessly importing data from diverse sources. They will also learn to create visually engaging representations and generate detailed reports and dynamic dashboards. Whether you’re a novice embarking on your data analytics journey or a seasoned professional aiming to refine your existing Power BI skills, this course caters to individuals at all levels of expertise, providing customized instruction and personalized guidance to meet your specific needs. Enrolling in this training program will empower you with the necessary tools and insights to unlock the full potential of your data. By making data-driven decisions, you’ll be equipped to drive organizational success and make a significant impact. Join us on this transformative learning journey as we delve deeper into the realm of data analytics, arming you with the expertise and confidence needed to excel in today’s data-driven landscape. This course isn’t just about acquiring knowledge; it’s about gaining actionable skills that will differentiate you in your career and enable you to effect meaningful change within your organization.
Course Curriculum
Chapter 1: Introduction to Power BI (3 Sessions, 40 Minutes)
Lecture 1: – Overview of Business Intelligence and Power BI (15 mts)
Lecture 2: – Understanding the Power BI ecosystem (10 mts)
Lecture 3: – Introduction to key concepts: reports, dashboards, datasets (15 mts)
Chapter 2: Getting Started (3 Sessions, 30 Minutes)
Lecture 1: – Installing Power BI Desktop (10 mts)
Lecture 2: – Navigating the Power BI interface (10 mts)
Lecture 3: – Connecting to different data sources (10 mts)
Chapter 3: Data Preparation (3 Sessions, 35 Minutes)
Lecture 1: – Loading and transforming data using Power Query (15 mts)
Lecture 2: – Cleaning and shaping data (15 mts)
Lecture 3: – Basic data loading techniques (5 mts)
Chapter 4: Basic Visualizations (4 Sessions, 55 Minutes)
Lecture 1: – Formatting and customizing visualizations (20 mts)
Lecture 2: – Introduction to different chart types (10 mts)
Chapter 5: Interactivity (3 Sessions, 40 Minutes)
Lecture 1: – Working with filters (15 mts)
Lecture 2: – Implementing slicers for interactive reports (15 mts)
Lecture 3: – Utilizing drill-down and drill-up features (10 mts)
Lecture 4: Using drill-through feature in Power BI
Chapter 6: Understanding Data Modeling in Power BI
Lecture 1: Introduction to Data Modeling (3 mts)
Lecture 2: Why build a Data Model (4 mts)
Lecture 3: Step 1 to Step 4- Building a Data Model (10 mts)
Lecture 4: Step 5- Building a Data Model (5 mts)
Lecture 5: Preparing Dat Model Files in Power Query ( 3mts)
Lecture 6: Extracting the Fact and Dimension Tables ( 5 mts)
Lecture 7: Investigating and Resolving issues with Relationships (5 mts)
Lecture 8: Testing The Relationships in Report View
Chapter 7: Introduction to DAX (3 Sessions, 35 Minutes)
Lecture 1: – Understanding the basics of Data Analysis Expressions (DAX) (3 mts)
Lecture 2: Using CALENDARAUTO() to generate a Calendar Table ( 5 mts)
Lecture 3: Using FORMAT() Function to add Month, Year and Quarter Columns to Calendar(7mts)
Lecture 4: Connecting the Calendar Tabel to the Fact Table
Lecture 5: Using MONTH() function to create a custom sort column for the month column
Lecture 6: Writing Simple Aggregation Measure
Lecture 7: Understanding Filter Context 1
Lecture 8: Introduction to CALCULATE() function
Lecture 9: Create a shell table to keep measures
Lecture 10: Writing Time Intelligence Formulas- the PREVIOUSMONTH() function
Lecture 11: Calculating Month on Month Variance
Lecture 12: Using REMOVEFILTERS function and Calculating Percentage Share
Lecture 13: Using SAMEPERIODLASTYAER() to calculate SPLY values
Lecture 14: Calculating Year to Date Values
Lecture 15: Automatic Measure with Quick Measures
Chapter 8: Building Reports and Dashboards (6 Sessions, 60 Minutes)
Lecture 1: Create and Customize Report Theme
Lecture 2: Create Report Page Template
Lecture 3: Visualize Monthly Revenue vs Same Period Lasy Year on a Line chart
Lecture 4: Creating a Forecast from a Line chart
Lecture 5: Visualizing Monthly Variance with a Waterfall Chart
Lecture 6: Creating Matix Table report with Data Bars
Lecture 7: Creating a simple Donut Chart
Lecture 8: Visualizing Current & Previous Period with Clustered Bard Chart
Lecture 9: Visualizing Changes in ranking overtime with Ribbon Chart
Chapter 9: POWER BI COURSE SUMMARY
Lecture 1: SUMMARY
Instructors
-
Ashraf TP Mohammed
Microsoft Certified Trainer
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- 4 stars: 3 votes
- 5 stars: 5 votes
Frequently Asked Questions
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