How to Import data in power bi

This recipe helps you Import data in power bi

Recipe Objective - How to import data files in power bi

Step 1 - Ways of Importing data files

There are 4 four from which we can import data files 1. we can import data from excel sheets 2. we can import the data from SQL server 3. we can directly copy and paste our data into a blank table by making a blank table 4. we can also use the Sample dataset provided by power bi.

Access Linear Regression ML Project for Beginners with Source Code

Step 2 - Import the data from excel sheet.

Click on the "Import data from excel" and a new window will popped up. Then go to the location where your datasets are stored and select one dataset from

Step 3 - Navigation window

After selecting the dataset click on to open and then navigation window will be opened up which will ask you which particular excel sheet you have to import if you have multiple sheets in your dataset then select your particular sheet to import else if there is only one sheet then just select that sheet and then click on "Load" and after some time the dataset will be loaded in your power bi software under the fields pane all the columns will appear.

What Users are saying..

profile image

Abhinav Agarwal

Graduate Student at Northwestern University
linkedin profile url

I come from Northwestern University, which is ranked 9th in the US. Although the high-quality academics at school taught me all the basics I needed, obtaining practical experience was a challenge.... Read More

Relevant Projects

Build a Hybrid Recommender System in Python using LightFM
In this Recommender System project, you will build a hybrid recommender system in Python using LightFM .

AWS MLOps Project to Deploy a Classification Model [Banking]
In this AWS MLOps project, you will learn how to deploy a classification model using Flask on AWS.

A/B Testing Approach for Comparing Performance of ML Models
The objective of this project is to compare the performance of BERT and DistilBERT models for building an efficient Question and Answering system. Using A/B testing approach, we explore the effectiveness and efficiency of both models and determine which one is better suited for Q&A tasks.

Census Income Data Set Project-Predict Adult Census Income
Use the Adult Income dataset to predict whether income exceeds 50K yr based oncensus data.

End-to-End Speech Emotion Recognition Project using ANN
Speech Emotion Recognition using RAVDESS Audio Dataset - Build an Artificial Neural Network Model to Classify Audio Data into various Emotions like Sad, Happy, Angry, and Neutral

Linear Regression Model Project in Python for Beginners Part 1
Machine Learning Linear Regression Project in Python to build a simple linear regression model and master the fundamentals of regression for beginners.

MLOps AWS Project on Topic Modeling using Gunicorn Flask
In this project we will see the end-to-end machine learning development process to design, build and manage reproducible, testable, and evolvable machine learning models by using AWS

Insurance Pricing Forecast Using XGBoost Regressor
In this project, we are going to talk about insurance forecast by using linear and xgboost regression techniques.

Build a Churn Prediction Model using Ensemble Learning
Learn how to build ensemble machine learning models like Random Forest, Adaboost, and Gradient Boosting for Customer Churn Prediction using Python

Topic modelling using Kmeans clustering to group customer reviews
In this Kmeans clustering machine learning project, you will perform topic modelling in order to group customer reviews based on recurring patterns.