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PG Diploma in Data Science & AI | Data Science: Machine Learning, Customized Algorithms, Data Mining | Regression Analysis, Hypothesis Testing, Probability Distribution, Statistical Quality Control | Programming Languages: Python, R, Basic SQL | Top Skills: Statistics, Classification and Regression, Predictive Modelling, Data Analysis.
Reading for Master of Science in Applied Mathematics, Skills: Builde statistical models, acquire data from primary/ secondary data sources and maintain databases, create and maintain dashboards, data storytelling, Visualize and analyze data for business reports, Generate & automatize monitoring report and alerting systems
Python, R, SQLServer, Tableau, Power BI, Excel, Matplotlib, Seaborn, plotly, ggplot, Statistics, Data Analysis, Machine Learning, Predictive Modelling, Deep Learning, Data Visualization, Data Exploration, Time Series, Data Pre-processing
Languages: Python, SQL | Frameworks: Scikit-Learn, Pandas, Numpy, Matplotlib, Seaborn | Platforms: Jupyter Notebook, Google Colab, MS-Office, GitHub, VSCode, Anaconda, Excel, Tableau, Power BI | Professional Skills: Data Science, Data Analytics, Business Analytics, Power BI, ML Modelling, ML Deployment.
R - Intermediate, Python - Intermediate, D3.js - Beginner, JavaScript - Beginner, SQL - Beginner, React.js - Beginner, Familiar with OpenBB Terminal
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