Data consulting is a growing field with many opportunities for data scientists to make money. As a data consultant, you can use your data science skills to help businesses make better decisions, improve their operations, and drive revenue. Here are ten ways for data scientists to make money through data consulting: Data Strategy: Help businesses develop …
Python is a popular and versatile programming language that is widely used in data analysis, machine learning, and scientific computing. However, it is important for data analysts to learn other languages as well to expand their skills and be more versatile in their careers. Here are a few languages that data analysts might consider learning …
The gig economy offers many opportunities for data scientists to make money through machine learning as a service (MLaaS). By leveraging your data science skills, you can help businesses improve their operations and drive revenue. Here are ten creative ways for data scientists to make money through MLaaS in the gig economy: MLaaS Platform: Create …
The National Health Service (NHS) in the United Kingdom faces many challenges in providing high-quality healthcare to a large and diverse population. Data science can play a crucial role in addressing these challenges by providing insights and solutions that can improve patient outcomes and reduce costs. Here are a few examples of how data science …
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The gig economy offers many opportunities for data scientists to make money using small gigs. Online platforms are a great way to find short-term projects and contract work that can help you supplement your income and build your portfolio. Here are five online platforms for data scientists to consider: Upwork: Upwork is a popular freelance …
Feature importance analysis is a common task in data science that involves evaluating the relative importance of different input features in a machine learning model. Here are the top 10 things to consider when performing feature importance analysis: The type of model: Different types of models may have different approaches to feature importance analysis. For …
Here is a quick code guideline to automate your python scripts using Power-Shell. // Define the path to the Python script $scriptPath = “” // Define the path to the Python executable $pythonPath = “” // Run the Python script & $pythonPath $scriptPath Please make sure that you replace <path-to-python-script> with the actual path to your Python …
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To all the data scientists, here is the quick code in PowerShell to automate your PowerBI reports and Dashboard refresh. Import the Power BI module Import-Module -Name MicrosoftPowerBIMgmt Connect to the Power BI service Connect-PowerBIServiceAccount Get the list of Power BI files in the workspace $workspaceId = “” $workspace = Get-PowerBIWorkspace -Scope Organization -Id $workspaceId …
Python + PowerShell | Use this simple code to auto refresh the PowerBI files Read More »
To connect Oracle SQL with Python, you will need to install the following libraries: cx_Oracle: This is a Python extension module that enables access to Oracle Database. You can install it using pip: Pip install cx_Oracle Oracle Instant Client: This is a free Oracle client that allows you to connect to Oracle Database. You can …
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Time series analysis is a powerful tool for understanding and predicting trends in data over time. Python provides a range of libraries and tools for working with time series data, making it an excellent choice for data scientists and analysts. Here are some tips for doing time series analysis in Python: 1. USE THE RIGHT LIBRARIES There …
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