What Will I Learn
At the end of this course you will:
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Curriculum
- What is Data Science?
- Evolution of Data Science
- Various Data Science related profiles and applications
- Machine Learning and AI in HFT
- Data Manipulation and Wrangling
- Writing Functions
- Graphics, Descriptive Statistics, Inferential Statistics
- Linear Regression, Statistical Plots
- Multiple Linear Regression & Polynomial Regression
- Shrinkage Method for model improvements
- Variable Reduction Techniques - PCA / PCR
- R-Squared, Case Study - Using R
- Logistics Regression
- Tree Based Methods
- Time Series Decomposition
- Holt Winters smoothing
- ARIMA Models
- Case Study - using R
- Importing Data into Tableau
- Creating Graphs
- Creating Sets and Performing Custom Calculations in Tableau
- Using R in Tableau
- Creating Dashboard
- Publish a Tableau Dashboard on web
- Case Studies - 1
- Case Studies – 2
How It works
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Live Classroom Sessions Each session is interactive and informative, featuring case studies, quizzes and projects |
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Interact, Learn and Grow bsevarsity.com enables you to master the concepts, interact with expert faculty and other learners and be a part of the community whilst growing. |
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