Python Data Analytics
Data Analytics
Master Python for data analysis in our comprehensive training. Learn to manipulate and analyze data using Python libraries like Pandas and NumPy. Explore data visualization techniques with Matplotlib and Seaborn, and gain practical skills in extracting insights from complex datasets.
Target Audience
Data analysts, data scientists, and professionals looking to leverage Python for data manipulation, analysis, and visualization.
Prerequisites
Basic Python programming skills including data structures and functions. Familiarity with data analysis concepts is beneficial but not required.
Outline Course
Introduction to Python programming for data analytics
Data manipulation and cleaning techniques with Pandas
Exploratory data analysis (EDA) using Python libraries
Advanced data visualization with Matplotlib and Seaborn
Statistical analysis and hypothesis testing with Python
Case studies and real-world data analysis projects
Outcome
Participants will acquire proficiency in Python for data analytics, enabling them to manipulate, analyze, and visualize data effectively. They will be equipped to derive valuable insights and make data-driven decisions across various domains.
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