Best of Data Analysis — 2022
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Towards Data Science·4y
10 SQL Operations for 80% of your Data Manipulation
SQL is one of the most used programming languages for manipulating relational data. It is used very actively by Data Analysts and Data Scientists for data pull and data manipulation tasks. In this blog, I will take you through 10 of theMost used SQL operations that every aspiring Data Scientist/Data Analyst should know.
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Medium·4y
How did I convert the 33 GB Dataset into a 3 GB file Using Pandas?
A dataset may contain thousands to millions of rows. We can load the smaller dataset quickly, but when the dataset gets bigger, our system may not be able to run the large memory files. So I thought to share how I converted the 33GB data file into a 3 GB file using Pandas.
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Community Picks·4y
Using Decorators to Solve Date Problems
Decorators to Solve Date Problems a decorator is the gateway drug into the world of Python metaprogramming. In python, everything is an object (specifically a dictionary but let's not go there) In Python, we can pass in and return any object regardless of its type. Solution 1 would be to define some function clean_dates which takes in the dataframe, cleans the date columns specified by some configuration and return the cleaned dataframe.
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KDnuggets·3y
5 Python Projects for Data Science Portfolio
5 Python Projects for Data Science Portfolio will help you develop problem-solving habits. Get more experience by working on web scraping, data analytics, time-series forecasting, machine learning, and deep learning projects. In the five projects, we will learn to: Scrape live yahoo stock prices, perform time series analysis and forecasting.
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Statistical Probability Distributions
All possible outcomes of a random experiment are random variables. X is the number of times the event happened in the specified time interval. In the Poisson distribution, the events are independent of each other. We can visually check how close a sample is to the normal distribution using QQ-Plots. The tail is the long, narrow part of a distribution where outliers are located. When one tail differs from another, it is called skewness.
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8 Best Python Image Manipulation Tools
Images can be defined as a matrix of pixels, and each pixel represents a color that can be treated as a data value. Image Processing comes in handy to uncover underlying data from any image. The main objective of image processing is to uncover some valuable information from images.
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Top Data Engineering Tools/Platforms in 2022
Cloud data warehouses are the next option on the list for two reasons: They offer an improvement over on-premise legacy databases. Spectacles is a recently released tool that enables teams to deploy their LookML layer with assurance. The fields of machine learning and big data, which demand the mobilization of tremendous computing capacity to process vast data warehouses, depend on these two qualities.
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Event Store·4y
How to implement Event-Driven Architecture
This page gives you some useful advice on how to implement EDA and affect real change in your business. Make sure every event is in the past tense, as the events are recorded after they have happened. Modeling your data on the processes of your business has value across all departments. Take your time and get this right!
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A Data Science Portfolio That Will Land You The Job in 2022
You do not have a Master's degree in data science and have no prior experience in the field. You have even created data science projects and included them in your portfolio hoping that they will get you a job. This makes it seem like you lack experience and can do more harm than good to your portfolio. Take one or You are not Playing to your Strengths.
