Python Data Analysis Practical Camp: Cultivate your inner skills and unleash the potential of data

pythonData AnalysisThe practical camp aims to help students master Python## through practical projects #The whole process of data analysis, improve data processing, modeling and visualization skills. The following are the details of the actual combat camp:

Module 1: Data Acquisition and Cleaning

Data source identification and acquisition skills
• pandasIntroduction and use of NumPy library
Data cleaning and missing value processing
Data format conversion and merging

Module 2: Data Exploration and Analysis

Exploratory Data Analysis (EDA)
Statistical Description and Visualization
Hypothesis testing and data transformation
Correlation analysis and exploratory factor analysis

Module 3: Machine Learning Modeling

Supervised
• Machine LearningAlgorithmIntroduction
Linear Regression, Logistic Regression and Decision Tree
Model evaluation and hyperparameter tuning
Unsupervised machine
• LearningAlgorithm

Module 4: Data Visualization

Introduction and use of Matplotlib and Seaborn libraries
Data visualization principles and best practices
Interactive Visualization and Dashboard Design

Module 5: Practical Project

Practical projects based on real data sets
Data acquisition, cleaning, analysis and modeling
Project
• Summaryand report writing

Advantages of actual combat camp

• Practical orientation: Focus on solving practical problems rather than theoretical explanations.
• Project-driven: Through practical projects, students will master the complete data analysis process.
• Mentor guidance: Senior data analysts provide one-on-one tutoring and project guidance.
• Community support: Students can communicate and share knowledge with other students in the community forum.
• Certification Award: Students who complete the practical camp will receive certification to prove their data analysis skills and knowledge.

Target Audience

Junior Data Analyst
Professionals interested in transforming data analysis
Business personnel who want to improve their data processing and modeling skills
Anyone interested in data analysis

ways of registration

Students who are interested in participating in the practical camp, please visit the official website or contact the course consultant.

Improve data potential

By participating in the Python data analysis practical camp, students will master the entire process of data analysis, including data acquisition, cleaning, exploration, modeling and visualization. These skills help students uncover insights from data, make data-driven decisions, and unlock the full potential of data.

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