Professional Certificate in Math and Data Science Applications
-- ViewingNowThe Professional Certificate in Math and Data Science Applications is a comprehensive course that bridges the gap between theoretical mathematics and its practical, real-world applications in data science. This certificate program is essential for learners seeking to advance their careers in data-driven industries, as it equips them with the necessary skills to analyze, interpret, and visualize complex data sets.
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⢠Data Analysis with Python: Explore data manipulation, analysis, and visualization using Python libraries like Pandas, NumPy, and Matplotlib.
⢠Statistical Methods: Gain insights into essential statistical concepts, including descriptive and inferential statistics, probability distributions, and hypothesis testing.
⢠Machine Learning Fundamentals: Learn the basics of machine learning, including supervised and unsupervised learning, regression, classification, and clustering algorithms.
⢠Data Visualization: Master data storytelling by creating effective and engaging visualizations using popular libraries like Matplotlib, Seaborn, and Plotly.
⢠Applied Linear Algebra: Understand the principles of linear algebra, such as vector spaces, matrices, determinants, and eigenvalues, and learn how they apply to data science.
⢠Optimization Techniques: Study various optimization techniques, including gradient descent and convex optimization, to solve data science problems.
⢠Deep Learning Foundations: Explore the fundamentals of deep learning, including neural networks, activation functions, and backpropagation.
⢠Time Series Analysis: Learn how to analyze time-series data, including trend detection, seasonality, and forecasting.
⢠Natural Language Processing: Discover the principles of natural language processing (NLP), including text preprocessing, tokenization, and sentiment analysis.
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