Advanced Python and Exploratory Data Analysis (EDA) Course

Description

Advanced Python and Exploratory Data Analysis (EDA) Course (40 hours)

• Data Wrangling
• Plotting and Visualization
• Data Aggregation and Group Operations
• Time Series Analysis

Overview

Elevate your Python programming and data analysis skills with our Advanced Python and Exploratory Data Analysis (EDA) course. This course is designed for those who have a basic understanding of Python and are looking to deepen their expertise in data wrangling, visualization, and advanced analytical techniques.

Course Modules

1. Data Wrangling
   • Master the techniques for cleaning, transforming, and merging datasets.
   • Learn to handle missing data, outliers, and perform data normalization and standardization.
   • Utilize advanced pandas functionalities to prepare data for analysis.
2. Plotting and Visualization
   • Explore advanced data visualization techniques using libraries like Matplotlib, Seaborn, and Plotly.
   • Create interactive and informative plots to effectively communicate data insights.
   • Learn to visualize complex data structures and relationships through advanced plotting methods.
3. Data Aggregation and Group Operations
   • Develop skills in grouping data and performing aggregate calculations.
   • Learn to pivot and reshape data for better analysis and reporting.
   • Use pandas to perform complex group operations and gain deeper insights from your data.
4. Time Series Analysis
   • Understand the fundamentals of time series data and its unique properties.
   • Learn to visualize and analyze time series data to identify trends, seasonality, and patterns.
   • Perform forecasting and predictive analysis using Python libraries such as statsmodels and Prophet.

Why Choose This Course?

• Advanced Techniques: Gain expertise in advanced Python programming and EDA techniques essential for data science and analytics.
• Hands-On Projects: Engage in practical projects and case studies to apply your learning to real-world data problems.
• Expert Instructors: Learn from seasoned data scientists and Python experts who provide in-depth knowledge and guidance.
• Comprehensive Curriculum: Cover all critical aspects of advanced data analysis, from data wrangling to time series forecasting.

Enroll Today

Advance your Python and data analysis skills with our Advanced Python and EDA course. Enroll now to unlock new opportunities in data science and enhance your ability to analyze and interpret complex datasets.