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DATA ANALYTICS
Python, R, SQL, and Excel
STATISTICAL TECHNIQUES
Hypothesis Testing, Student T Test, Chi -
Square Test, ANOVA etc.
MACHINE LEARNING (ML / AI)
Decisions Trees, Random Forest, Linear
Regression, Support Vector Machines,
Logistic Regression, Clustering – K Means,
Gaussian Mixture Models, PCA, Neural
Networks (CNN, LSTM and Computer Vision),
Open CV, YOLOR, Text Mining and NLP
BIG DATA STACK
HADOOP, HIVE and SPARK
DEEP LEARNING FRAMEWORKS
Keras, Tensorflow and Pytorch
CLOUD ANALYTICS
AZURE & MLOPS
OPERATING SYSTEMS
Linux and Windows
VISUALIZATIONS/UI
Power BI and Tableau