Transform Your Data Skills with Python and Pandas

Dive into the world of data manipulation and analysis with our comprehensive course on Python and Pandas. This course is designed for anyone interested in expanding their data handling skills, whether you’re a newcomer or looking to polish your expertise. Starting with the fundamentals, you will learn the importance of Pandas in data analysis, complete with installation and setup instructions to get you started on the right foot.

As the course progresses, you will explore advanced data manipulation techniques, mastering the creation and handling of Series and DataFrames, the core structures of Pandas. You’ll gain proficiency in working with time series data and learn how to reindex and filter data effectively. We also cover essential operations such as arithmetic functions, aligning data, and applying custom functions and mappings, ensuring you have the tools you need to tackle real-world data challenges.

In addition, you’ll learn how to combine and group data to produce insightful analyses. By working on a final project, you will apply everything you’ve learned to perform a complete data analysis, reinforcing your skills and preparing you for future data-driven tasks. The course also provides valuable resources and recommendations for continuing your journey in data analysis. Enroll today to master the art of data analysis with Pandas!

What you will learn:

• Conduct descriptive and exploratory data analysis (EDA) using grouping, aggregation, and statistical summaries techniques.
• Manage and transform data from various sources (CSV, Excel, SQL) using Pandas data structures for machine learning models.
• Create clear and effective visualizations with libraries like Matplotlib and Seaborn to identify trends in data.

Course Content:

• Sections: 11
• Lectures: 38
• Duration: 5h 3m

Requirements:

• Access to a computer with: Installation of Python, Pandas, and related libraries (NumPy, Matplotlib, Seaborn).
• Basic Python Knowledge: Understanding of basic Python syntax, familiarity with data types (lists, dictionaries, tuples, etc.), and knowledge of control flow structures (loops, conditionals).
• Programming Fundamentals: Experience in writing and running Python scripts, basic knowledge of functions and modules in Python, and ability to work with development environments (IDEs) or text editors.
• Basic Mathematics and Statistics Knowledge: Understanding of basic statistical concepts like mean, median, and standard deviation.
• Basic Data Handling Experience: Knowledge of importing and exporting data from/to CSV or Excel files.

Who is it for?

• Students and Data Science Professionals: Individuals looking to acquire practical skills in data analysis, statistics, and data science.
• Data and BI Analysts: Professionals working in business analysis, business intelligence (BI), or similar roles that require manipulating and analyzing large datasets.
• Researchers and Academics: Researchers in disciplines that require data analysis, such as social sciences, biology, or economics.
• Software Developers: Developers looking to expand their Python skills and learn how to use Pandas for data handling in their applications, including software engineers working on data-related projects.
• Marketing and Business Professionals: Marketing and business professionals seeking to use data for informed decision-making and analysis.
• Anyone Interested in Data Analysis: Tech enthusiasts and data analysis novices who want to learn how to handle and analyze data using advanced tools.

What are you waiting for to get started?

Enroll today and take your skills to the next level. Coupons are limited and may expire at any time!

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