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# Best of Data Analysis — 2022

1. 1  
[](/posts/13-freecodecamp-courses-to-tackle-data-science-automation-and-web-development-in-python-oyezwfo1n "13 freeCodeCamp Courses To Tackle Data Science, Automation, And Web Development In Python")  
Article  
![Avatar of medium_js](https://media.daily.dev/image/upload/t_logo,f_auto/v1/logos/medium)Medium · 4y  
13 freeCodeCamp Courses To Tackle Data Science, Automation, And Web Development In Python  
FreeCodeCamp is the best online course platform to start coding in Python. Everything is free on YouTube. Here are the 13 best courses for data science, automation, and web applications in Python.  
35  
1
2. 2  
[](/posts/building-an-event-driven-architecture-at-hashnode--kdccnnyk0 "Building an Event-Driven Architecture at Hashnode.")  
Article  
![Avatar of hashnode](https://media.daily.dev/image/upload/t_logo,f_auto/v1/logos/4a287b2e7cb5499bae863f8e7137cdb4)Hashnode · 4y  
Building an Event-Driven Architecture at Hashnode.  
This is the first post of the series: Building an Event-Driven-Architecture at Hashnode. The stack will consist of: Amazon EventBridge Amazon Lambda Amazon SQS.  
30  
2
3. 3  
[](/posts/10-sql-operations-for-80-of-your-data-manipulation-zjo6h5ylt "10 SQL Operations for 80% of your Data Manipulation")  
Article  
![Avatar of tds](https://media.daily.dev/image/upload/t_logo,f_auto/v1/logos/tds)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.  
24  
1
4. 4  
[](/posts/how-did-i-convert-the-33-gb-dataset-into-a-3-gb-file-using-pandas--jsmdqvwqx "How did I convert the 33 GB Dataset into a 3 GB file Using Pandas?")  
Article  
![Avatar of medium_js](https://media.daily.dev/image/upload/t_logo,f_auto/v1/logos/medium)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.  
18
5. 5  
[](/posts/using-decorators-to-solve-date-problems-lafldxuof "Using Decorators to Solve Date Problems")  
Article  
![Avatar of community](https://media.daily.dev/image/upload/t_logo,f_auto/v1655817725/logos/community)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.  
16
6. 6  
[](/posts/5-python-projects-for-data-science-portfolio-tzpbsovy9 "5 Python Projects for Data Science Portfolio")  
Article  
![Avatar of kdnuggets](https://media.daily.dev/image/upload/t_logo,f_auto/v1/logos/kdnuggets)KDnuggets · 4y  
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.  
14
7. 7  
[](/posts/statistical-probability-distributions-q5mheezlm "Statistical Probability Distributions")  
Article  
![Avatar of medium_js](https://media.daily.dev/image/upload/t_logo,f_auto/v1/logos/medium)Medium · 4y  
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.  
14
8. 8  
[](/posts/8-best-python-image-manipulation-tools-724miyxkd "8 Best Python Image Manipulation Tools")  
Article  
![Avatar of kdnuggets](https://media.daily.dev/image/upload/t_logo,f_auto/v1/logos/kdnuggets)KDnuggets · 4y  
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.  
12  
2
9. 9  
[](/posts/top-data-engineering-tools-platforms-in-2022-igsvcv5sb "Top Data Engineering Tools/Platforms in 2022")  
Article  
![Avatar of community](https://media.daily.dev/image/upload/t_logo,f_auto/v1655817725/logos/community)Community Picks · 4y  
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.  
12  
1
10. 10  
[](/posts/how-to-implement-event-driven-architecture-p4neycgkh "How to implement Event-Driven Architecture")  
Article  
![Avatar of eventstore](https://media.daily.dev/image/upload/t_logo,f_auto/v1/logos/6e7940e0a29e4b3cbfef11831ec252c2)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!  
12
11. 11  
[](/posts/a-data-science-portfolio-that-will-land-you-the-job-in-2022-nnsxbnlgn "A Data Science Portfolio That Will Land You The Job in 2022")  
Article  
![Avatar of kdnuggets](https://media.daily.dev/image/upload/t_logo,f_auto/v1/logos/kdnuggets)KDnuggets · 4y  
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.  
11

[See all Data Analysis archives](/tags/data-analysis/best-of)

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