Data Science & AI

Power BI: A Comprehensive Guide to Data Visualization and Analytics

  • Live instructor-led course
  • Internship with live projects
  • Industry-relevant curriculum
  • Online and Offline training available
  • Placement support until you get placed

This comprehensive course is designed to equip students with the knowledge and skills necessary to perform advanced data analytics using Power BI

  • Beginner
  • Last updated 10 August, 2024
  • English
Course Description

Unlock the full potential of your data with our comprehensive Power BI course. This course will guide you through the essentials of Microsoft Power BI, providing you with the skills to transform raw data into compelling, actionable insights.

What you’ll learn
  • Understand the components of Power BI and their roles in business intelligence.
  • Learn to import data from various sources and prepare it for analysis
  • Develop skills to create and manage data models
  • Acquire the ability to design and create interactive reports and dashboards
  • Apply analytical techniques to interpret and present data insights.
  • Understand how to publish and share Power BI reports and dashboards.
Introduction to Power BI - Overview of Power BI, Installation and setup, Understanding the Power BI interface, Introduction to Power BI Desktop.
Data Importing - Connecting to Different Data Sources (Excel, Text, Web) Importing Data into Power BI Desktop Basic Data Exploration
Transforming Data - Introduction to Power Query Editor Filtering and Sorting Data Removing Duplicates and Handling Missing Values Merging and Appending Queries
Creating Relationships and Basic Modeling - Introduction to Data Modeling Creating and Managing Relationships Understanding Primary and Foreign Keys Creating Basic Calculated Columns
Working with Visualizations - Overview of data visualization principles, Creating basic charts (bar, line, pie, etc.), Using advanced chart types (treemaps, waterfall, etc.) Formatting visualizations, Designing interactive dashboards, Publishing and sharing reports on Power BI Service Managing access and permissions
Data Analysis with Power BI DAX - Introduction to DAX and Its Purpose Creating Calculated Columns Understanding Basic DAX Functions (SUM, AVERAGE, COUNT) Creating Measures and Simple Calculations
Advanced DAX - Using Time Intelligence Functions (YEAR, MONTH) Advanced Filtering Functions (CALCULATE, FILTER) Writing Basic DAX Queries
Supply Chain Analysis
Sales Data Analysis
HR Analytics
Analyzing Job Marketing Data
eCommerce Analysis
Analyzing Customer Churn
Competitor Sales Analysis
Analyzing Healthcare Data
Project - Do a Project using the learned skills and present the output
...
Dr. Sunil Job K…

ipsr solutions limited.

Chief of Academics
...
Faizal B

ipsr solutions limited.

Senior Research Engine…
...
Alphy Mathew

ipsr solutions limited.

Research Engineer
...
Navya K Das

ipsr solutions limited.

Team Lead - Technical C…
Our Student Reviews

4.5

(Based on todays review)

avatar
Jacqueline Miller

2 days ago

Perceived end knowledge certainly day sweetness why cordially. Ask a quick six seven offer see among. Handsome met debating sir dwelling age material. As style lived he worse dried. Offered related so visitors we private removed. Moderate do subjects to distance.

avatar
Louis Ferguson

1 days ago

Water timed folly right aware if oh truth. Imprudence attachment him for sympathize. Large above be to means. Dashwood does provide stronger is. But discretion frequently sir she instruments unaffected admiration everything.

avatar
Dennis Barrett

2 days ago

Handsome met debating sir dwelling age material. As style lived he worse dried. Offered related so visitors we private removed. Moderate do subjects to distance.

Leave a Review
Frequently Asked Questions

Data analytics involves the process of examining data sets to draw conclusions about the information they contain, typically with the aid of specialized software tools like Tableau, Power BI, Excel, and Python. . Data analytics enables us to transform raw data into actionable information, guiding strategic decisions and fostering innovation across various industries from healthcare and finance to marketing and beyond. In today's digital age, proficiency in data analytics is essential for professionals seeking to leverage data effectively and contribute to organizational success.

Yes, individuals from any background or domain can study data analytics. While a background in fields like mathematics, statistics, or computer science can be advantageous, this data analytics course is designed to accommodate beginners with no prior experience. The key requirements are curiosity, a willingness to learn, and an interest in working with data to derive insights and make informed decisions.

Programming skills are not always a strict requirement to start learning data analytics, but they can significantly enhance your ability to excel in the field. Ultimately, proficiency in programming empowers you to leverage data analytics tools more comprehensively and pursue advanced career opportunities in data-driven fields.

Proficiency in Tableau, Power BI, Excel, and Python opens doors to roles such as data analyst, business intelligence analyst, financial analyst, marketing analyst, or data scientist, depending on the specialization and industry focus.

There are tons of opportunities. Companies are realizing that they need to leverage their data to understand how to improve their businesses on every scale! From internal process, external processes, improving customer satisfaction, understanding what new products and services to offer, etc. Companies who fail to utilize their data are and will be not be competitive, therefore they will be left behind. Many companies are in the beginning stages of sorting, managing, and analyzing their data. Therefore, they need data analysts, data engineers, and scientists to help them with that.

When considering this career path, math is one thing to be concerned about . There are other essential characteristics as well. Regardless of their function in this sector, logical thinking, curiosity, It is not the only thing to be concerned about. Basic statistical knowledge would be beneficial in a data analyst job role; nevertheless, the nature of employment, not the title, is more important.

The use of analytics in decision-making is critical. As data analysts, professionals will have the potential to influence business strategy and the way the company moves forward. Working closely with important stakeholders and using their experience to advise on the best course of action, they get to the heart of difficult business challenges. In this way, they will have a direct impact on the company’s performance, which is a tremendously satisfying position to be in.

Before getting started, ask yourself What role do I want? and What is my starting point?. These will determine which skills you should acquire first, and help you plan your learning path. With time, as your understanding deepens and you explore more tools, you will find more things to discover and deep dive into. Once you get started, learning never ends. If you love learning and being reset to “level 0” once in a while, it’s a great path that satisfies this need. If you don’t, it may sound terrifying.
Ask Your Question
  • Louis Ferguson

    Removed demands expense account in outward tedious do. Particular way thoroughly unaffected projection?

    5hr
Just started new

Batches

We're excited to have you join us!

Inquire Now
Course Schedule

Certification Course On Professional Data Analytics
  • 03 Oct, 2024 Online

Certification in Data Science and AI
  • 03 Oct, 2024 Online

Certification in Data Science and AI
  • 04 Oct, 2024 Kottayam

Certification Course On Professional Data Analytics
  • 08 Oct, 2024 Kochi

Certification in Data Science and AI
  • 09 Oct, 2024 Kochi
View More
Request a Callback training@ipsrsolutions.com +91 9447294635 +91 9447169776