Data Cleaning - Deepstash
How To Give And Receive Constructive Criticism

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Understanding the importance of constructive criticism

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How To Give And Receive Constructive Criticism

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Data Cleaning

When a Data Scientist is given a project, the majority of the time goes into cleaning the data set, removing unwanted values, handling missing values. It can be achieved by using some inbuilt python libraries like Pandas and Numpy.

One should also know how to manipulate data using Microsoft Excel.

  • Blog — Cleaning Data Using Python (Recommended)
  • Edureka’s Microsoft Excel Course
  • Learning Pandas By Kaggle (Recommended)

113

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Knowledge Of Statistics And Probability

For becoming a Data Scientist, having knowledge of statistics and probability is as essential as having salt in food. Knowing them will help the data scientists interpret large data sets, get insights from them, and analyze them better.

  • Krish Naik’s Statistics Playlist (Recommended)

116

299 reads

Learn SQL

Structured Query Language (SQL) is used for extracting and communicating with large databases. One should focus on understanding the different types of normalization, writing nested queries, using co-related questions, group-by, performing join operations, etc., on the data and extract in raw for...

111

226 reads

Learn Machine Learning Algorithms

According to Google, “Machine learning is a method of data analysis that automates analytical model building. It is a branch of artificial intelligence based on the idea that systems can learn from data, identify patterns and make decisions with minimal human intervention.”

It is the most c...

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159 reads

Practice On Analytics Vidhya and Kaggle

After acquiring the basics of Data Science, now it’s time to get hands-on experience in its part. There are many online platforms, like Kaggle and Analytics Vidhya, that can provide you with hands-on experience with both beginner and advanced level data sets. They can help you to understand vario...

110

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Becoming A Data Scientist

Becoming A Data Scientist

Becoming a Data Scientists is an exciting path, but you cannot learn data science within one year or six months—instead, it’s a lifetime process that you have to follow with proper dedication and hard work.

To guide your journey, the skills outlined here are the first you must acquire to ...

118

573 reads

Choose A Programming Language (Python / R)

Python is the most preferred coding language and is adopted by most Data Scientists. It is easy to understand, versatile, and supports various in-built libraries such as Numpy, Pandas, MatplotLib, Seaborn, Scipy, and many more.

  • FreeCodeCamp’s Python Tutorial (Recommended)
  • Kaggl...

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328 reads

Exploratory Data Analysis

Exploratory data analysis is the essential part when talking about data science. The data scientist has many tasks, including finding data patterns, analyzing data, finding the appropriate trends in the data and obtaining valuable insights, etc., from them with the help of various graphical and s...

111

168 reads

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