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Data Science Keywords List

Discover the most searched Data Science related terms and optimize your content for maximum reach. Whether you’re a blogger, a webmaster or a seo pro, understanding popular Data Science keywords is crucial for connecting with your target audience.

Why Data Science Keywords Matter :

  1. Boost your SEO: Incorporate relevant keywords to improve your search engine rankings.
  2. Create engaging content: Use popular search terms to craft content that resonates.
  3. Enhance marketing strategies: Tailor your campaigns to match what your audience is actively searching for.

Explore Top Data Science Keywords

Below, you’ll find a curated list of the most searched keywords in the Data Science niche, along with their global monthly search volume and CPC on Google.

Keyword Search Volume CPC
cnn 20400000 2.00
github 823000 5.00
hive 550000 1.38
pandas 550000 2.00
python 368000 4.25
aws 301000 100.00
power bi 201000 27.00
azure 201000 26.70
tableau 201000 35.00
sql 165000 7.76
big data 165000 7.75
artificial intelligence 135000 3.38
docker 135000 100.00
data analyst 135000 12.23
data analytics 135000 12.23
spark 135000 1.07
blockchain 110000 4.10
mongodb 110000 13.57
git 110000 3.18
algorithm 110000 3.15
statistics 110000 2.69
confidence interval 110000 5.24
google cloud 110000 100.00
gitlab 90500 4.79
kubernetes 90500 3.71
regression 90500 0.00
kafka 90500 5.00
jupyter notebook 74000 2.82
quantum computing 74000 16.93
kaggle 74000 3.03
pca 74000 10.00
data science 74000 9.25
data scientist 74000 9.25
devops 60500 10.68
normal distribution 60500 0.00
p-value 49500 2.03
t-test 49500 2.90
business analyst 49500 9.30
machine learning 49500 6.88
bitbucket 49500 0.80
poisson distribution 49500 0.00
binomial distribution 49500 1.83
pytorch 49500 4.49
linear regression 40500 4.52
tensorflow 40500 5.23
anova 40500 11.31
neural networks 33100 5.02
logistic regression 33100 6.60
chi-square test 33100 0.00
cloud computing 33100 25.00
clustering 33100 1.09
iot 33100 6.06
etl 33100 10.28
ci/cd 33100 7.79
data mining 27100 17.10
gan 27100 3.58
cassandra 27100 8.32
decision trees 27100 15.04
hadoop 22200 9.72
statistical significance 22200 0.00
numpy 22200 4.29
data engineer 22200 11.69
data visualization 22200 11.33
xgboost 18100 5.01
deep learning 18100 5.75
natural language processing 18100 5.03
classification 18100 5.83
scikit-learn 18100 4.89
r programming 18100 9.43
data lake 18100 7.79
data warehouse 18100 7.27
reinforcement learning 14800 4.53
business intelligence 14800 8.83
data governance 14800 19.48
svm 14800 0.00
data modeling 14800 8.07
hypothesis testing 14800 3.33
random forest 12100 0.00
lstm 12100 4.82
computer vision 12100 5.58
data management 12100 43.70
edge computing 12100 7.80
a/b testing 12100 19.06
predictive analytics 12100 9.10
nosql 12100 12.66
sentiment analysis 9900 5.97
data integration 9900 47.63
data cleaning 8100 12.10
mlops 8100 9.08
knn 8100 10.48
keras 8100 2.23
machine learning engineer 6600 9.81
time series analysis 6600 6.29
f-test 6600 0.00
data architecture 6600 15.00
data pipeline 6600 9.68
naive bayes 6600 0.00
data architect 6600 15.00
data privacy 5400 11.42
rnn 5400 1.50
data science certification 5400 16.96
transfer learning 5400 5.64
data science bootcamp 5400 22.90
data storytelling 5400 6.48
version control 4400 5.87
data security 4400 25.00
data science degree 4400 20.04
data quality 3600 54.17
gradient boosting 3600 0.00
feature engineering 3600 6.70
lightgbm 3600 0.00
data-driven decision making 2900 19.28
bayesian optimization 2900 0.00
dimensionality reduction 2400 0.00
data annotation 2400 21.45
data science interview questions 2400 5.48
data literacy 2400 4.76
explainable ai 2400 5.40
data labeling 1900 25.71
hyperparameter tuning 1900 3.26
data strategy 1900 15.60
chief data officer 1900 16.66
data augmentation 1900 13.35
grid search 1900 0.00
catboost 1900 0.00
data science career 1900 10.57
data science berkeley 1900 25.67
responsible ai 1600 6.59
feature selection 1600 0.00
data science resume 1600 4.61
ai researcher 1600 6.00
data science online courses 1300 25.54
data sampling 1300 3.22
data distribution 1300 11.00
ensemble learning 1300 9.32
data preprocessing 1300 10.86
ai regulation 1000 45.06
data ethics 1000 3.07
ethics in ai 880 6.48
data science reddit 880 8.54
random search 880 0.00
data science coursera 880 12.43
data science stanford 880 21.08
data science harvard 880 11.53
data science consultant 880 15.43
bias in ai 720 4.78
data science books 720 7.91
data science conferences 720 8.56
data science portfolio 720 3.07
ai governance 590 8.00
data version control 480 7.82
trustworthy ai 480 6.83
model deployment 480 15.00
model monitoring 480 15.00
data science linkedin 390 11.05
data culture 390 8.71
data science blogs 320 5.65
data science competitions 320 7.17
data science workflow 320 8.53
data science roles 260 8.53
data science ethics 260 5.26
data versioning 210 0.00
data science uber 210 0.00
data science lifecycle 210 15.50
data science edx 210 6.60
model interpretability 170 0.00
data science udacity 140 14.61
agile data science 140 9.71
data science amazon 140 37.97
data science podcasts 110 0.28
fairness in ai 90 8.62
data science datacamp 90 4.13
data science facebook 90 0.00
model versioning 70 0.00
data science airbnb 70 18.73
data science team structure 70 8.53
data science communities 70 10.96
data science stack exchange 50 10.06
data science netflix 50 0.00
data science best practices 50 4.94
data science medium 40 10.53
data science forums 40 9.17
data science stack overflow 30 0.00
scrum for data science 30 0.00
data science twitter 30 0.00
data science youtube channels 20 17.00
data science mit opencourseware 10 0.00
data science visual studio code 10 0.00
cross-validation 10 0.00
data science google 10 0.00
data science github 10 0.00
data science manager 10 0.00
data science quora 10 0.00

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