Seminar Overview

Dive deep into the world of data science in this comprehensive 3-day Python seminar. Gain hands-on experience with NumPy, Pandas, Matplotlib, and essential statistical techniques, equipping you with the skills to uncover insights from data and make informed decisions

Seminar Content

Topics:

• Introduction to Data Science with Python
• Exploring the Power of NumPy for Numerical Computing
• Data Manipulation and Analysis with Pandas
• Visualizing Data using Matplotlib and Seaborn
• Descriptive Statistics and Data Summarization Techniques
• Understanding Basics of Linear Algebra for Data Science

Day 1: Introduction to Data Science with Python

• Overview of data science concepts and its applications
• Setting up your data science environment
• Introduction to Jupyter notebooks for interactive coding

Day 2: Data Manipulation and Visualization

• Exploring and analyzing data using NumPy arrays
• Performing data wrangling and cleaning with Pandas
• Creating informative visualizations using Matplotlib
• Enhancing plots with Seaborn for advanced data visualization

Day 3: Descriptive Statistics and Linear Algebra Basics

• Calculating central tendencies and measures of dispersion
• Understanding correlation, covariance, and scatter plots
• Introduction to vectors, matrices, and basic linear algebra concepts

Why Attend:

• Gain practical skills in data manipulation, visualization, and analysis using Python
• Learn essential statistical techniques for drawing meaningful insights from data
• Enhance your understanding of linear algebra basics for data science applications

Target Audience and Prerequisites

• Aspiring data scientists and analysts looking to kickstart their data science journey
• Programmers interested in leveraging Python for data manipulation and analysis
• Students and professionals seeking to enhance their skills in descriptive statistics and linear algebra

If you want to hire me for this course: Get in touch and write me an Email