What skills and qualifications are required for data science related jobs?
#install.packages("devtools")
devtools::install_github("thiyangt/DSjobtracker")
library(DSjobtracker)Rows: 430
Columns: 115
$ ID <int> 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11,…
$ Consultant <chr> "Thiyanga", "Jayani", "Jayani", "J…
$ DateRetrieved <date> 2020-08-05, 2020-08-07, 2020-08-0…
$ DatePublished <date> NA, 2020-07-31, 2020-08-06, 2020-…
$ Job_title <chr> NA, "Junior Data Scientist", "Engi…
$ Company <chr> NA, "Dialog Axiata PLC", "London S…
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$ D3 <fct> 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0…
$ Alteryx <fct> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
$ KNIME <fct> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
$ Spotfire <fct> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
$ Spark <fct> 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0…
$ S3 <fct> 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0…
$ Redshift <fct> 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0…
$ DigitalOcean <fct> 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0…
$ Javascript <fct> 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0…
$ Kafka <fct> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
$ Storm <fct> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
$ Bash <fct> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
$ Hadoop <fct> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0…
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$ Teradata <fct> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
$ MongoDB <fct> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
$ Elasticsearch <fct> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
$ YOLO <fct> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
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$ pyspark <fct> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
$ Data_mining <fct> 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0…
$ Data_science <fct> 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0…
$ Web_Analytic_tools <fct> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
$ IOT <fct> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
$ Numerical_Analysis <fct> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
$ Economic <fct> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
$ Finance_Knowledge <fct> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
$ Investment_Knowledge <fct> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
$ Problem_Solving <fct> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
$ Korean_language <fct> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
$ Bash_Linux_Scripting <fct> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
$ Team_Handling <fct> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
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$ Payroll_management <fct> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
$ Bayesian <fct> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
$ Optimization <fct> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
$ Bahasa_Malaysia <fct> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
$ Knowledge_in <chr> NA, NA, "Elasticsearch, Logstash, …
$ City <chr> NA, "Colombo", "Colombo", "Colombo…
$ Location <chr> "NY", "LK", "LK", "LK", "LK", "Mal…
$ Educational_qualifications <chr> NA, "Degree in Engineering / IT or…
$ Salary <chr> NA, NA, NA, NA, NA, NA, NA, NA, NA…
$ English_proficiency <chr> NA, NA, NA, NA, NA, NA, "1", NA, N…
$ URL <chr> NA, "https://www.google.com/search…
$ Search_Term <chr> NA, "Data Analysis Jobs in Sri Lan…
$ Job_Category <fct> Unimportant, Data Science, Data Sc…
$ Minimum_Years_of_experience <dbl> 4, 2, 1, 2, 0, 5, 0, 0, 1, 7, 5, 2…
$ Experience <chr> "4+", "2-3", "1-2", "2+", "0 years…
$ Experience_Category <fct> More than 2 and less than 5 years,…
$ Job_Country <chr> NA, "Sri Lanka", "Sri Lanka", "Sri…
$ Edu_Category <fct> NA, Some Degree, Some Degree, Some…
$ Minimum_Salary <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA…
$ Salary_Basis <fct> unspecified, unspecified, unspecif…# A tibble: 6 x 115
ID Consultant DateRetrieved DatePublished Job_title Company R SAS
<int> <chr> <date> <date> <chr> <chr> <fct> <fct>
1 1 Thiyanga 2020-08-05 NA <NA> <NA> 1 1
2 2 Jayani 2020-08-07 2020-07-31 Junior D… Dialog… 1 0
3 3 Jayani 2020-08-07 2020-08-06 Engineer… London… 0 0
4 4 Jayani 2020-08-07 2020-07-24 CI-Stati… E.D. B… 1 1
5 5 Jayani 2020-08-07 2020-07-24 DA-Data … E.D. B… 0 1
6 6 Jayani 2020-08-07 2020-08-13 Data Sci… Emirat… 1 0
# … with 107 more variables: SPSS <fct>, Python <fct>, MAtlab <fct>,
# Scala <fct>, C_Sharp <fct>, MS_Word <fct>, Ms_Excel <fct>, OLE_DB <fct>,
# Ms_Access <fct>, Ms_PowerPoint <fct>, Spreadsheets <fct>,
# Data_visualization <fct>, Presentation_Skills <fct>, Communication <fct>,
# BigData <fct>, Data_warehouse <fct>, cloud_storage <fct>,
# Google_Cloud <fct>, AWS <fct>, Machine_Learning <fct>, Deep_Learning <fct>,
# Computer_vision <fct>, Java <fct>, Cpp <fct>, C <fct>, Linux_Unix <fct>,
# SQL <fct>, NoSQL <fct>, RDBMS <fct>, Oracle <fct>, MySQL <fct>, PHP <fct>,
# Flash_Actionscript <fct>, SPL <fct>,
# web_design_and_development_tools <fct>, Wordpress <fct>, AI <fct>,
# `Natural_Language_Processing(NLP)` <fct>, Microsoft_Power_BI <fct>,
# Google_Analytics <fct>, graphics_and_design_skills <fct>,
# Data_marketing <fct>, SEO <fct>, Content_Management <fct>, Tableau <fct>,
# D3 <fct>, Alteryx <fct>, KNIME <fct>, Spotfire <fct>, Spark <fct>,
# S3 <fct>, Redshift <fct>, DigitalOcean <fct>, Javascript <fct>,
# Kafka <fct>, Storm <fct>, Bash <fct>, Hadoop <fct>, Data_Pipelines <fct>,
# MPP_Platforms <fct>, Qlik <fct>, Pig <fct>, Hive <fct>, Tensorflow <fct>,
# Map_Reduce <fct>, Impala <fct>, Solr <fct>, Teradata <fct>, MongoDB <fct>,
# Elasticsearch <fct>, YOLO <fct>, agile_execution <fct>,
# Data_management <fct>, pyspark <fct>, Data_mining <fct>,
# Data_science <fct>, Web_Analytic_tools <fct>, IOT <fct>,
# Numerical_Analysis <fct>, Economic <fct>, Finance_Knowledge <fct>,
# Investment_Knowledge <fct>, Problem_Solving <fct>, Korean_language <fct>,
# Bash_Linux_Scripting <fct>, Team_Handling <fct>,
# Debtor_reconcilation <fct>, Payroll_management <fct>, Bayesian <fct>,
# Optimization <fct>, Bahasa_Malaysia <fct>, Knowledge_in <chr>, City <chr>,
# Location <chr>, Educational_qualifications <chr>, Salary <chr>,
# English_proficiency <chr>, URL <chr>, Search_Term <chr>,
# Job_Category <fct>, …# A tibble: 6 x 152
ID Consultant DateRetrieved DatePublished Job_title Company R SAS
<dbl> <chr> <chr> <chr> <chr> <chr> <dbl> <dbl>
1 1 Thiyanga 05/08/2020 <NA> <NA> <NA> 1 1
2 2 Jayani 07/08/2020 31/07/2020 Junior D… Dialog… 1 0
3 3 Jayani 07/08/2020 06/08/20 Engineer… London… 0 0
4 4 Jayani 07/08/2020 24/07/2020 CI-Stati… E.D. B… 1 1
5 5 Jayani 07/08/2020 24/07/2020 DA-Data … E.D. B… 0 1
6 6 Jayani 07/08/2020 13/08/2020 Data Sci… Emirat… 1 0
# … with 144 more variables: SPSS <dbl>, Python <dbl>, MAtlab <dbl>,
# Scala <dbl>, `C#` <dbl>, `MS Word` <dbl>, `Ms Excel` <dbl>, `OLE/DB` <dbl>,
# `Ms Access` <dbl>, `Ms PowerPoint` <dbl>, Spreadsheets <dbl>,
# Data_visualization <dbl>, Presentation_Skills <dbl>, Communication <dbl>,
# BigData <dbl>, Data_warehouse <dbl>, cloud_storage <dbl>,
# Google_Cloud <dbl>, AWS <dbl>, Machine_Learning <dbl>, `Deep
# Learning` <dbl>, Computer_vision <dbl>, Java <dbl>, `C++` <dbl>, C <dbl>,
# `Linux/Unix` <dbl>, SQL <dbl>, NoSQL <dbl>, RDBMS <dbl>, Oracle <dbl>,
# MySQL <dbl>, PHP <dbl>, Flash_Actionscript <dbl>, SPL <dbl>,
# web_design_and_development_tools <dbl>, Wordpress <dbl>, AI <dbl>,
# `Natural_Language_Processing(NLP)` <dbl>, `Microsoft Power BI` <dbl>,
# Google_Analytics <dbl>, graphics_and_design_skills <dbl>,
# Data_marketing <dbl>, SEO <dbl>, Content_Management <dbl>, Tableau <dbl>,
# D3 <dbl>, Alteryx <dbl>, KNIME <dbl>, Spotfire <dbl>, Spark <dbl>,
# S3 <dbl>, Redshift <dbl>, DigitalOcean <dbl>, Javascript <dbl>,
# Kafka <dbl>, Storm <dbl>, Bash <dbl>, Hadoop <dbl>, Data_Pipelines <dbl>,
# MPP_Platforms <dbl>, Qlik <dbl>, Pig <dbl>, Hive <dbl>, Tensorflow <dbl>,
# `Map/Reduce` <dbl>, Impala <dbl>, Solr <dbl>, Teradata <dbl>,
# MongoDB <dbl>, Elasticsearch <dbl>, YOLO <dbl>, `agile execution` <dbl>,
# Data_management <dbl>, pyspark <dbl>, Data_mining <dbl>,
# Data_science <dbl>, Web_Analytic_tools <dbl>, IOT <dbl>,
# Numerical_Analysis <dbl>, Economic <dbl>, Finance_Knowledge <dbl>,
# Investment_Knowledge <dbl>, Problem_Solving <dbl>, Korean_language <dbl>,
# `Bash\\Linux Scripting` <dbl>, Knowledge_in <chr>, Experience <chr>,
# City <chr>, Location <chr>, Educational_qualifications <chr>, Salary <chr>,
# Team_Handling <dbl>, Debtor_reconcilation <dbl>, Payroll_management <dbl>,
# Bayesian <dbl>, Optimization <dbl>, `Bahasa Malaysia` <dbl>, `English
# proficiency` <chr>, URL <chr>, Search_Term <chr>, …