Master Python for Data Analysis and Business Analytics 2025

Übersicht

Discover how Python can propel your career forward with Advanced Data Analysis taught by a Real-World Expert - Guaranteed Results!

Lehrplan

• Introduction to Python for Data Analysis
Overview of Python programming language
Setting up Python environment and tools
Basic Python syntax and functions
• Data Structures and Manipulation in Python
Lists, Tuples, and Dictionaries
DataFrames with Pandas
Data cleaning and preparation techniques
• Data Visualization Techniques
Introduction to Matplotlib and Seaborn
Creating plots, charts, and graphs
Advanced visualization techniques for data insights
• Advanced Data Analysis with Python
Statistical analysis and probability
Hypothesis testing and ANOVA
Time series analysis
• Introduction to Business Analytics
Key concepts in business analytics
Case studies in business decision-making
Using Python for business problem-solving
• Machine Learning for Business Applications
Basics of machine learning algorithms
Implementing regression and classification models
Model evaluation and optimization
• Real-World Data Projects
Capstone project: Analyzing a real-world business dataset
Project planning and execution
Presentation of project findings
• Integrating Python with Business Tools
Automating tasks with Python scripts
Integrating with databases and APIs
Use of Python in Excel and other business tools
• Career Development in Data Analysis
Building a professional portfolio
Networking and job search strategies
Industry trends and future of data analytics
• Course Conclusion and Assessment
Review of key concepts and skills
Final assessment and feedback
Certification of completion

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Unterrichtet von

Diogo Alves de Resende

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Fachgebiete

Programming