Essential Math and Statistics for Data Science Online Training

About the Training

Build a strong foundation in essential math and statistics for data science with this comprehensive training, covering fundamental concepts of calculus, linear algebra, and analytic geometry. Gain an intuitive understanding of functions, derivatives, and extremum points, while also exploring vector and matrix operations.

Delve into the world of descriptive statistics, non-linear relationships, and probability, exploring the principles behind random variables and popular distributions. This training offers a well-rounded approach to the crucial mathematical skills required for success in data science.

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Main Training Areas

• Calculus for Data Science
• Linear Algebra Foundations
• Analytic Geometry Essentials
• Exploring Descriptive Statistics
• Common Probability Distributions
• Understanding Vector Calculations

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Training Audiences

• Students pursuing a career in data science need a solid foundation in essential math and statistics.
• Professionals in the data science field looking to strengthen their mathematical and statistical understanding for better data-driven decision-making.
• Researchers and academics who want to apply mathematical and statistical concepts in their data analysis work.
• Anyone with a passion for data and a desire to build a strong foundation in essential math and statistics.

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