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Data science, power BI and python tutorial. Learn power bi and SQL for business intelligence and data science.  .

Mastering Data Visualization: A Concise Overview of Different Chart Types

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Pareto Chart

Data visualization is a powerful tool for making sense of complex data. By using various chart types, we can highlight trends, compare quantities, and uncover patterns. Here’s a quick guide to some of the most commonly used visualization methods: Bar Chart Rectangular bars represent different categories, making it easy to compare quantities across multiple groups. […]

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Applying Conditional Formatting to a Line Chart in Power BI

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line chart in power bi

Conditional formatting to a line chart in Power BI can enhance data visualization by highlighting trends and changes. While Power BI does not support direct conditional formatting for line charts, you can achieve similar effects using a workaround (creating a bar chart with conditional formatting and then changing it to a line chart) . This

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Top SQL Interview Questions and Answers

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Top SQL Interview Questions And Answers

Explore this curated list of Top SQL interview questions and answers to enhance your readiness for SQL-related job interviews. From fundamental concepts to advanced, these questions cover key topics like database, SQL structure and syntax, joins, subqueries,views, stored procedure and more. Use this resource to sharpen your SQL skills and excel in your next interview

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Logistic Regression : A Supervised Machine Learning Algorithm

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logistic regression

Logistic regression is a data analysis technique that uses mathematics to find the relationships between two data factors. Logistic Regression is a powerful tool used in statistics to predict the likelihood of something happening. It’s especially handy when there are only two possible outcomes, like whether a loan gets fully paid or not. Think of

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Naive Bayes : A Supervised Machine Learning Algorithm

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naive bayes algorithm workflow

Naive Bayes algorithm is a probabilistic classifier that operates based on Bayes’ theorem. It is Supervised Machine Learning Algorithms. It is highly efficient in computation, making it suitable for real-time problems. The algorithm assumes that each attribute in a class is highly independent. It can handle both continuous and discrete attributes effectively. The prediction model

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Data Analysis with Jupyter Notebook

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pie chart sales summary

Jupyter Notebook is an open-source web application that allows you to create and share documents containing live code, equations, visualizations, and narrative text. Originally developed for interactive computing in Python, Jupyter supports various programming languages, making it a versatile tool for data science, research, and education Jupyter Notebook Features Overview Interactive Environment Jupyter Notebook provides

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Python Pandas for data manipulation and analysis

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Pandas is a powerful and widely-used library in Python for data manipulation and analysis. It provides easy-to-use data structures such as Series and DataFrames, along with a variety of tools for loading, cleaning, and analyzing data. In this tutorial, we’ll explore why Pandas is crucial for data analysis, how to load data using Pandas, and

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