Data Analysis IT IT and Software

Data Analysis with Python: Full Course

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32 hours

About Course

This extensive course is designed to provide you with an in-depth understanding of data analysis using Python, one of the most popular programming languages for data science. Whether you’re a data analyst, aspiring data scientist, or someone looking to enhance your data analysis skills, this course covers essential techniques and tools to analyze, visualize, and interpret data effectively.

Here is a highlight of what to expect:

Expert Instruction from Data Science Professionals: Learn from experienced data analysts and data scientists who will provide practical insights, techniques, and real-world examples of data analysis using Python.
Practical Data Analysis Projects: Apply your skills through practical projects, including working with real datasets, performing data analysis, and creating visualizations and reports.
Certification: Upon completion, you’ll receive a recognized certificate from Coo Media, validating your expertise in data analysis with Python and enhancing your professional credentials.

Introduction to Python for Data Analysis: Understand the basics of Python programming, including data types, control structures, and libraries commonly used for data analysis.
Data Handling with Pandas: Learn how to use the Pandas library for data manipulation and analysis, including loading, cleaning, transforming, and summarizing data.
Data Visualization with Matplotlib and Seaborn: Discover techniques for visualizing data using Matplotlib and Seaborn, including creating various types of charts and plots to represent data effectively.
Statistical Analysis and Hypothesis Testing: Understand statistical methods and hypothesis testing to draw conclusions from data and evaluate the significance of your findings.
Advanced Data Analysis Techniques: Know more advanced topics such as time series analysis, machine learning with scikit-learn, and handling large datasets with efficient techniques.
Project Implementation and Reporting: Apply your knowledge through hands-on projects, including analyzing real-world datasets, generating reports, and presenting your findings.

Course Content

Introduction to Python for Data Analysis
Basics of Python Programming; Data Types, Control Structures, and Libraries

Basics of Python Programming
Data Types, Control Structures, and Libraries

Data Handling with Pandas
Loading and Cleaning Data; Transforming and Summarizing Data

Data Visualization with Matplotlib and Seaborn
Creating and Customizing Charts and Plots; Visualizing Data Trends and Patterns

Statistical Analysis and Hypothesis Testing
Understanding Statistical Methods; Conducting Hypothesis Tests and Drawing Conclusions

Advanced Data Analysis Techniques
Time Series Analysis and Forecasting; Introduction to Machine Learning with scikit-learn

Project Implementation and Reporting
Analyzing Real-World Datasets; Generating Reports and Presenting Findings

Final Project and Application
Complete Data Analysis Project from Data Collection to Reporting; Showcasing Your Work and Applying Best Practices

Instructors

Coo Media

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26 Courses

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Level All Levels
Duration 32 hours
Last Updated September 25, 2024

Data Analysis with Python: Full Course

About Course