Business Analytics with Python
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6,000.009:30 AM - 1:30 PMHurry Limited Seats Only
Coverage
- Introduction to Business Analytics
- Types of Business Analytics
- Python programming basics variables
- operators Control Flow
- Data Structures, Functions, and modules
- Core libraries
- NumPy, Pandas, Matplotlib,
- Seaborn
- Exploratory Data Analysis (EDA)
- SciPy & Statsmodels
- Feature engineering, and evaluation metrics
- Supervised learning regression techniques Including simple and multiple linear regression
- with RMSE and R2 evaluation
- Supervised classification methods: Naive Bayes
- K-Nearest Neighbours (K-NN)
- and Support Vector Machines (SVM)
- along with Confusion matrix
- Unsupervised learning clustering (K-Means, hierarchical)
- precision, and recall
- Principal Component Analysis (PCA) and factor analysis
- Introduction to deep learning: perception and Recurrent Neural Networks (RNN)
3 Weekend Online Training Programme On
Upcoming Specialised Courses
- Hurry Limited Seats Only
- 10:00 AM - 05:00 PM
35,400.00
