Description

Explore the world of programming with our interactive online training “Statistical Insights: A Pythonic Exploration into Programming for Data Analysis”. Join us for an illuminating session where we unravel the complexities of utilizing Python for statistical analysis, empowering you to extract meaningful insights from data sets. Through real-world examples, hands-on exercises, and expert guidance, this webinar is meticulously designed to enhance your coding skills, ensuring you leave with a comprehensive understanding of how to implement statistical techniques using Python.

Get to know the power and visualization ability of Gradient Descent and an insight into the ability of optimization algorithms. Immerse yourself in an interactive experience that will revolutionize your approach to programming for data analysis.

This training is part of the learning path “Industrial Data Science” and may be combined with other sessions.

Main learning outcomes:

• Demonstrate proficiency in implementing key statistical concepts using Python, including measures of central tendency, dispersion, and correlation.
• Gain a deep understanding of statistical libraries such as NumPy and SciPy, and learn to leverage their capabilities for advanced data analysis.
• Learn to employ statistical techniques for hypothesis testing and make informed decisions based on data-driven insights.
• Develop the skills to visualize and interpret data using gradient descent for effective storytelling through data.
• Apply statistical analysis techniques to real-world datasets, equipping you with the practical knowledge needed for data-driven decision-making.

Who is this training for:

• Business analysts
• Industrial, mechanical and civil engineering students and alumni
• Practitioners without knowledge of data science