training Bangur Avenue Kolkata

Python For data Analysis (20 hours) List & Arrays Data Frame sub setting Data Aggregation Format conversion Broadcasting Functions Looping Data Merging & Joining Writing SQL in Python Aggregating Data in SQL sub-queries in SQL Business Analytics in R (20 Hours) Introduction to Analytics Fundamentals of R Basic Statistics in R Data Cleaning & Visualization in R Principal Component Analysis/ Variable Clustering Linear Regression in R Logistic Regression in R Segmentation for marketing analytics in R Time series forecasting in R Decision Trees in R Random Forest & XG-Boost in R Solving an actual business problem through analytics Machine Learning in Python (15 Hours) Introduction to Data Science Fundamentals of Python Data summary & visualization in Python Data Handling in Python using NumPy & Pandas Basics of Machine Learning Generalized Linear Models in Python Tree Models using Python Boosting Algorithms in Python SVM and k-NN in Python Unsupervised learning in Python Neural Networks in Python Image Processing Ensemble Methods in Python Real Projects (10 Hours) Forecasting Prediction Segmentation