Who is a Data Scientist in 2021? A Research on 1001 Data Scientists

365 Data Science ยท Beginner ยท๐Ÿ›ก๏ธ AI Safety & Ethics ยท4y ago
๐Ÿ‘‰๐Ÿป Sign up for Our Complete Data Science Training with 57% OFF: https://bit.ly/2YLYV7c ๐Ÿ‘‰๐Ÿป Download Our Free Data Science Career Guide: https://bit.ly/3BM6U2A About the Research Every year, 365 Data Science publishes a study on 1,001 data scientist profiles. The information is collected from public LinkedIn profiles, assuming that the information posted on the social media platform is an unbiased estimator of their resume. This research allows us to gain insights, with a reasonable degree of certainty, about who is a data scientist in 2021. We present only aggregate data to highlight important trends that can be useful to anyone who wants to break into the field, as well as to organizations looking to hire data scientists. The typical data scientist profile delineated by our study: Identifies as male, has a Masterโ€™s degree, works comfortably with Python and SQL, has 6.2 years of prior working experience, works for a very large firm in the technology sector, has been on the job for about 1 year. The gender gap appears to be widening. The proportion of male to female data scientists in the 2021 version of the study is 82% (male) to 18% (female). In 2020, the ratio was 71% (male) to 29% (female), while in 2018 โ€“ 69% (men) to 31% (female). Currently, it takes around 7 years of prior working experience to become a data scientist. SQL surpassed R in popularity to claim the second position among coding languages โ€˜spokenโ€™ by data scientists. Similarly to other studies, our research confirms that Python holds the top-most position. โ€˜Data scientistโ€™ was the first job title for 22.6% of the individuals in our cohort. This goes to show that a considerable number of people begin directly as data scientists before gaining any other prior experience. In 96.5% of the cases, ะฐ university degree is required to break in the field. Our research shows that 76.7% of data scientists hold a Masterโ€™s (55%) or PhD (21.7%) degree. Additionally, those at a Bachelorโ€™s level accounted
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1 Population vs Sample
Population vs Sample
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2 Data Science & Statistics: Levels of measurement
Data Science & Statistics: Levels of measurement
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3 Statistics Tutorials: Mean, median and mode
Statistics Tutorials: Mean, median and mode
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4 Skewness
Skewness
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5 What is a distribution?
What is a distribution?
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6 The Normal Distribution
The Normal Distribution
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7 Central limit theorem
Central limit theorem
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8 Student's T Distribution
Student's T Distribution
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9 Type I error vs Type II error
Type I error vs Type II error
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10 Hypothesis testing. Null vs alternative
Hypothesis testing. Null vs alternative
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11 The linear regression model
The linear regression model
365 Data Science
12 Simple linear regression model. Geometrical representation
Simple linear regression model. Geometrical representation
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13 INDEX and MATCH application of the two functions separately and combined [Advanced Excel]
INDEX and MATCH application of the two functions separately and combined [Advanced Excel]
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14 INDIRECT Excel Function: How it works and when to use it [Advanced Excel]
INDIRECT Excel Function: How it works and when to use it [Advanced Excel]
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15 VLOOKUP and MATCH another useful functions combination [Advanced Excel]
VLOOKUP and MATCH another useful functions combination [Advanced Excel]
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16 VLOOKUP COLUMN and ROW - Handle large data tables with ease [Advanced Excel]
VLOOKUP COLUMN and ROW - Handle large data tables with ease [Advanced Excel]
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17 The ELIF keyword [Python Fundamentals]
The ELIF keyword [Python Fundamentals]
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18 Working with Tuples in Python
Working with Tuples in Python
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19 Database Terminology - A Beginners Guide
Database Terminology - A Beginners Guide
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20 Relational Database Essentials
Relational Database Essentials
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21 Database vs Spreadsheet - Advantages and Disadvantages
Database vs Spreadsheet - Advantages and Disadvantages
365 Data Science
22 Conditional Statements and Loops
Conditional Statements and Loops
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23 Backpropagation โ€“ The Math Behind Optimization
Backpropagation โ€“ The Math Behind Optimization
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24 Monte Carlo: Forecasting Stock Prices Part I
Monte Carlo: Forecasting Stock Prices Part I
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25 Monte Carlo: Forecasting Stock Prices Part II
Monte Carlo: Forecasting Stock Prices Part II
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26 Monte Carlo: Forecasting Stock Prices Part III
Monte Carlo: Forecasting Stock Prices Part III
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27 365 Data Science Online Program
365 Data Science Online Program
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28 Data frames - Creating a data frame
Data frames - Creating a data frame
365 Data Science
29 Data Science & Statistics: Slicing a matrix in R
Data Science & Statistics: Slicing a matrix in R
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30 Data frames in R - Exporting data in R
Data frames in R - Exporting data in R
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31 Data frames in R - Transforming data PART II
Data frames in R - Transforming data PART II
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32 Data Frames in R - Subsetting a data frame
Data Frames in R - Subsetting a data frame
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33 Data Science & Statistics: Matrix arithmetic in R
Data Science & Statistics: Matrix arithmetic in R
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34 Data Science & Statistics: Indexing an element from a matrix
Data Science & Statistics: Indexing an element from a matrix
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35 Data Frames in R - Extending a data frame
Data Frames in R - Extending a data frame
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36 Data Science & Statistics: Creating a matrix in R FASTER
Data Science & Statistics: Creating a matrix in R FASTER
365 Data Science
37 Data Science & Statistics: Creating a Matrix in R
Data Science & Statistics: Creating a Matrix in R
365 Data Science
38 Data frames - Importing data in R
Data frames - Importing data in R
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39 Data frames in R - Getting a sense of your data
Data frames in R - Getting a sense of your data
365 Data Science
40 Data frames in R - Transforming data PART I
Data frames in R - Transforming data PART I
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41 Data frames in R - Import a CSV in R
Data frames in R - Import a CSV in R
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42 Data Science & Statistics: Matrix operations in R
Data Science & Statistics: Matrix operations in R
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43 Data Science & Statistics: Matrix recycling in R
Data Science & Statistics: Matrix recycling in R
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44 Tableau vs Excel: When to use Tableau and when to use Excel
Tableau vs Excel: When to use Tableau and when to use Excel
365 Data Science
45 Download Tableau: Learn how to download Tableau Public
Download Tableau: Learn how to download Tableau Public
365 Data Science
46 Connecting data sources: Useful tips when connecting data sources to Tableau
Connecting data sources: Useful tips when connecting data sources to Tableau
365 Data Science
47 The Tableau interface: See how to navigate through the Tableau interface
The Tableau interface: See how to navigate through the Tableau interface
365 Data Science
48 Tableau data visualization: Create your first Tableau visualization!
Tableau data visualization: Create your first Tableau visualization!
365 Data Science
49 Duplicating sheets: This is how to duplicate a sheet in Tableau
Duplicating sheets: This is how to duplicate a sheet in Tableau
365 Data Science
50 Build a table in Tableau: The steps needed to create a simple table in Tableau
Build a table in Tableau: The steps needed to create a simple table in Tableau
365 Data Science
51 Custom fields in Tableau: Using Tableau operators to create custom fields
Custom fields in Tableau: Using Tableau operators to create custom fields
365 Data Science
52 Custom fields in Tableau: Add calculations to tables through custom fields
Custom fields in Tableau: Add calculations to tables through custom fields
365 Data Science
53 Totals in Tableau: Learn how to display subtotals and totals in Tableau
Totals in Tableau: Learn how to display subtotals and totals in Tableau
365 Data Science
54 Gross Margin calculation in Tableau
Gross Margin calculation in Tableau
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55 What is a filter in Tableau: Set up a filter in Tableau to specify the data you want to show
What is a filter in Tableau: Set up a filter in Tableau to specify the data you want to show
365 Data Science
56 Joins in Tableau: Inner, outer, left, or a right join in Tableau
Joins in Tableau: Inner, outer, left, or a right join in Tableau
365 Data Science
57 Building a Tableau dashboard: Three types of charts you want to have in a Tableau dashboard
Building a Tableau dashboard: Three types of charts you want to have in a Tableau dashboard
365 Data Science
58 Creating great looking charts in Tableau: Real life Exercise on charts in Tableau
Creating great looking charts in Tableau: Real life Exercise on charts in Tableau
365 Data Science
59 Joins in Tableau: Choose the correct join type
Joins in Tableau: Choose the correct join type
365 Data Science
60 How to make a data check in Tableau: A quick data check is better than no data check
How to make a data check in Tableau: A quick data check is better than no data check
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