Power BI Tutorial

Data visualization seems to be an essential skill in Data Analytics that gives Insights into Data-Driven problems., So I built these dashboards using PowerBI for the AdventureWorks Sales analysis.

Annual Gift Shop Sales Report & Dashboard. Comprehensive analysis of revenue, orders, avg. delivery, and customer spending. Highlights top products, occasions, and cities. Essential for strategic decision-making and optimizing performance. Built with Power BI. #DataAnalysis #SalesReport #PowerBI

This PowerBI reporting solution monitors and analyzes essential operational aspects of a LEGO manufacturing facility in Vietnam. The report encompasses critical areas, including Safety, Risk, Manpower, Construction Progress, Sustainability, QA/QC (Quality Assurance/Quality Control), and Document Control...

This is a interactive dashboard for blinkit using PowerBI. The BlinkIt Dashboard is an essential tool for any business looking to gain deep insights into their sales data and customer behavior. Its user-friendly interface and comprehensive data analysis capabilities make it a powerful asset for driving business growth and customer satisfaction.

Data Analyst Essentials: SQL, Python, Excel, PowerBI, Tableau

Dashboard final del curso BI Essentials (Power BI). Análisis de ventas, KPIs y visualizaciones interactivas.

This sample powerBI dashboards done as practice for Data Science Essentials Course 2024

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This repository contains all the essentials tutorials or resources of data analytics like Excel, SQL, Python, PowerBI and Tableau..

Worked on all the aspects based on POWERBI essentials , like : Button, Filters, Bookmark, Tooltip, Images and the most Important ROW LEVEL SECURITY.

Analyzing the business performance of EcoLiving-Essentials Mart throughout 2022-2023 across the United States, Australia, and Canada using Excel, MySQL and PowerBI.

This is a repositary for PowerBI Essentials Class of 26 hours containing all the Power BI dashboards and Datasets for the Fellow Learners and Trainers

Data Analysis of Banking data with python (and its libraries pandas for cleaning, matplotlib for analysis) and visualisation tool PowerBI for creating dashboard with meaningful and essential insights.

A growing FMCG company facing issues regarding contract renewal with their key customers. Interactive PowerBI Dashboard created with all the essential KPIs and key measures to find out the exact reasons.

For my first task in Learning PowerBI for Data analysis, I am instructed to build this repository to elaborate the essential steps needed to be taken when approaching a Data analysis project.

Data visualization with PowerBI is essential because it transforms complex data into visually compelling and easily understandable information. It allows users to see patterns, connections, and insights that might be missed in raw data.

In order to examine the provided data, I generated a number of dashboards and tables in PowerBI to build an interactive report. Three essential phases are involved in creating this report: data processing, data visualisation, and data cleaning.

This project focuses on end to end data analysis using powerbi. It covers all the essential data analysis aspects such as transaction tracking, failed payment monitoring, and visualizing multiple services like Insurance, Loans, Money Transfers, and Recharge & Bills.

This PowerBI project delves into analyzing bank loan data, aiming to uncover trends essential for decision-making. Using interactive visuals and key performance indicators, it offers insights into loan applications, borrower demographics, and loan performance, aiding strategic planning for financial institutions.

The Superstore Dashboard in PowerBI provides a concise yet powerful snapshot of essential business metrics, including profit, sales, quantity, region, and year. Its dynamic visualizations enable quick assessments of financial performance and offer deeper insights into sales trends and inventory levels.

As remote work becomes the new norm, it's essential to understand its impact on employees' mental well-being. This dataset dives into how working remotely affects stress levels, work-life balance, and mental health conditions across various industries and regions. DATA SOURCE: Kaggle.com TOOL:PowerBI

Term project of data science predicting pattern of PM 2.5 from given data in Kaggle. doing all essential data science skill. (from web scraping to presentation). In this case we use random forest regessor and using DAG operator for data-pipeline, finally present it on PowerBI.

Tag along as I take on 4 projects that bring together Excel, SQL, Python, and PowerBI. This sounds like it will get redundant fast, and my roadmap looks like it will, but i believe this redundancy is essential to cement these methods in my walnut. Koreeng ke game!

Welcome to the PowerBI-Projects repository! This repository is a curated collection of hands-on projects developed using the Power BI tool for Business Intelligence and Data Science. It focuses on essential skills for data analysis, visualization, and business intelligence using Power BI, with an emphasis on interactive reports, dashboards,.

DE Stuff - Programming & DSA in Python Distrubuted computation & storage -Hadoop - imp - spark,spark sql file format - json,avro,parquet type of data - structiured & semi sturectured processing mechniasm - batch & real time pub sub -kafka or AWS Kinesis data warehuse desginng amazon - ecomerce, netflix sql complex transactional & no sql databases - key value ,document,columanr base,graph base db,-mongodb,caseendra,hbase - data visualization tools- ETL tools cloud services- experience 🔥𝗜𝗺𝗽𝗼𝗿𝘁𝗮𝗻𝘁 𝗥𝗲𝘀𝗼𝘂𝗿𝗰𝗲𝘀🔥 🔴 Data Engineer Roadmap Document : ➡️https://docs.google.com/document/d/1g...​ 🔴 Python : ➡️ https://www.youtube.com/watch?v=_uQrJ...​ ➡️ https://www.programiz.com/python-prog...​ 🔴 Scala : ➡️ https://www.youtube.com/watch?v=LQVDJ...​ ➡️ http://allaboutscala.com/​ 🔴 Java : ➡️ https://www.youtube.com/watch?v=eIrMb...​ ➡️ https://beginnersbook.com/java-tutori...​ 🔴 Linux, Unix, Shell Scripting : ➡️ https://practice.geeksforgeeks.org/ba...​ ➡️ Above one is free course with invitation code - ELEARNINGBLINUX 🔴 Data Structures & Algorithms : ➡️ https://www.youtube.com/watch?v=5_5oE...​ ➡️ https://www.geeksforgeeks.org/​ ➡️ https://leetcode.com/​ 🔴 DBMS : ➡️ https://www.youtube.com/watch?v=kBdlM...​ ➡️ https://www.studytonight.com/dbms/​ 🔴 SQL Scripting : ➡️ https://www.youtube.com/watch?v=HXV3z...​ ➡️ https://www.youtube.com/watch?v=7S_tz...​ ➡️ https://www.w3schools.com/sql/​ 🔴 Basic Terminologies In BigData : ➡️ https://data-flair.training/blogs/wha...​ ➡️ https://www.edureka.co/blog/what-is-b...​ 🔴 Data Exploration Libraries : ➡️ Pandas - https://www.youtube.com/watch?v=UB3DE...​ ➡️ NumPy - https://www.youtube.com/watch?v=DI8wg...​ 🔴 Data Warehousing Concepts : ➡️ https://www.youtube.com/watch?v=J326L...​ ➡️https://www.tutorialspoint.com/dwh/dw...​. 🔴 BigData Frameworks (Hadoop, Hive, Spark, Sqoop, Nifi, Flume) : ➡️ https://www.youtube.com/results?searc...​ ➡️ https://www.youtube.com/user/edurekaIN​ ➡️ https://data-flair.training/​ ➡️ https://www.edureka.co/​ 🔴 Workflow Schedulers, Dependency Management : ➡️ https://www.youtube.com/watch?v=niJ06...​ ➡️ https://www.youtube.com/watch?v=6RebQ...​ 🔴 NoSQL Databases : ➡️ HBase - https://www.youtube.com/watch?v=NOX6-...​ ➡️ Cassandra - https://www.youtube.com/watch?v=iDhIj...​ ➡️ Elastic Search - https://www.youtube.com/watch?v=1Envk...​ ➡️ MongoDB - https://www.youtube.com/watch?v=pWbMr...​ 🔴 Apache Kafka : ➡️ https://www.youtube.com/watch?v=daRyk...​ 🔴 Dashboarding Tools : ➡️ Tableau - https://www.youtube.com/watch?v=aHaOI...​ ➡️ PowerBI - https://www.youtube.com/watch?v=3u7MQ...​ ➡️ Grafana - https://www.youtube.com/watch?v=CjABE...​ ➡️ Kibana - https://www.youtube.com/watch?v=gQ1c1...​ 🔴 BigData Services in Cloud (AWS) : ➡️ https://www.youtube.com/watch?v=k1RI5...​ ➡️ https://www.youtube.com/watch?v=8PyLr...​ ➡️ https://www.simplilearn.com/aws-big-d...​ 𝗜𝗺𝗽𝗼𝗿𝘁𝗮𝗻𝘁 𝘁𝗼𝗽𝗶𝗰𝘀 𝗶𝗻 𝗦𝗤𝗟 : 📌 Joins 📌 Group By 📌 Nested joins 📌 Case-When conditions 📌 Window functions 𝗧𝗲𝗰𝗵 𝘀𝘁𝗮𝗰𝗸 𝗳𝗼𝗿 𝗿𝗲𝗮𝗹𝘁𝗶𝗺𝗲 𝗱𝗮𝘁𝗮 𝗽𝗶𝗽𝗲𝗹𝗶𝗻𝗲𝘀 : 📌 Apache Kafka 📌 Apache Flink 📌 Apache Storm 📌 AWS Kinesis 📌 Spark Streaming 𝗕𝗶𝗴𝗗𝗮𝘁𝗮 𝗳𝗿𝗮𝗺𝗲𝘄𝗼𝗿𝗸𝘀 𝗮𝗻𝗱 𝗛𝗮𝗱𝗼𝗼𝗽 𝗲𝗰𝗼𝘀𝘆𝘀𝘁𝗲𝗺 : 📌 Hadoop architecture, Map-Reduce, HDFS, Yarn 📌 Apache Spark 📌 Hive 📌 Flume 📌 Sqoop 📌 Zookeeper 📌 Ambari, Hue 📌 Oozie, Airflow, Azkaban 𝗗𝗮𝘁𝗮 𝗩𝗶𝘀𝘂𝗮𝗹𝗶𝘇𝗮𝘁𝗶𝗼𝗻 𝗧𝗼𝗼𝗹𝘀 : 📌 Tableau 📌 Power BI 📌 Qlik Sense 📌 Grafana 📌 Kibana 𝗧𝗿𝗮𝗻𝘀𝗮𝗰𝘁𝗶𝗼𝗻𝗮𝗹 𝗗𝗮𝘁𝗮𝗯𝗮𝘀𝗲𝘀 : 📌 Amazon Aurora 📌 PostgreSQL 📌 MySQL 📌 MariaDB 📌 Oracle 📌 SQL Server 𝗡𝗼-𝗦𝗤𝗟 𝗗𝗮𝘁𝗮𝗯𝗮𝘀𝗲𝘀 : 📌 DynamoDB 📌 Cassandra 📌 MongoDB 📌 ElasticSearch 📌 HBase 📌 Couchbase 📌 Redis Book - Practical Statistics for Data Scientists: 50+ Essential Concepts Using R and Python 2nd Edition,