Exploratory Data Analysis with Python Online Training

About the Training

Discover the fascinating world of Exploratory Data Analysis with Python in this well-rounded training, featuring crucial topics such as EDA framework, NumPy, Pandas, and descriptive statistics. Dive into the realm of data visualization with Matplotlib and Seaborn, and gain proficiency in data preparation, and missing values treatment. Enhance your skills in feature engineering, correlation analysis, and learn to perform dimensionality reduction.

This training offers a unique opportunity to elevate your understanding of data analysis, empowering you to unleash the true potential of your data and drive meaningful change.

‍

Main Training Areas

• Exploring Python Libraries for EDA
• Data Importing and Exploration
• Descriptive Statistics and Visualization
• Data Preparation Techniques
• Analyzing Data Relationships
• Clustering and Dimensionality Reduction

‍

Training Audiences

• Data analysts and scientists who want to enhance their skills in exploring, visualizing, and preparing datasets for machine learning models.
• Individuals who are new to data analysis and wish to learn the techniques and tools for effective Exploratory Data Analysis using Python.
• Professionals in the field of data analytics and business intelligence looking to incorporate EDA techniques in their existing workflows for better decision-making.
• Anyone interested in expanding their knowledge and skillset in data science, particularly focusing on Exploratory Data Analysis with Python.

‍