Mastering Data Manipulation with Pandas
Unlocking Data Potential: Comprehensive Guide to Pandas
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An outline of this training course
The "Mastering Data Manipulation with Pandas" course provides an in-depth exploration into the world of data manipulation using the Pandas library. Designed for both beginners and intermediate learners, this course delves into the foundational concepts of Pandas, from its primary data structures like Series and DataFrame to advanced data handling techniques.
Participants will gain hands-on experience in importing, cleaning, exploring, and visualizing data. The course also emphasizes practical applications, showcasing how Pandas can be employed across various domains, from financial analysis to HR and employee data analysis.
With a blend of theoretical knowledge and practical exercises, learners will be equipped with the skills to harness the power of Pandas for efficient data analysis, paving the way for data-driven decision-making in their professional endeavors.
What are needed to take this course
Participants are expected to have a basic understanding of the Python programming language. Familiarity with fundamental data analysis concepts will be beneficial but not mandatory. Additionally, learners should have Python and the necessary libraries installed on their computers. For those new to Python or data analysis, resources will be provided to bridge the knowledge gap and ensure a smooth learning experience.
Who is this course for
This course is ideal for professionals in e-commerce, HR, sports analytics, and social media. It provides tools to harness Pandas for diverse data analysis needs, turning raw data into actionable insights.
Details of what you will learn during this course
By the end of this course, you will:
- Understand Pandas' core data structures: Series and DataFrame
- Master data import/export from CSV, Excel, and SQL
- Apply data cleaning techniques for missing values and conversions
- Explore data visualization and basic statistical analysis with Pandas
- Dive into advanced topics like time series and text handling
What you get with the course
- Comprehensive text-based chapters covering key topics
- 1 Quiz/Assessment at the end of the course
Program Level
Intermediate
Field(s) of Study
Data Analysis & Manipulation
Instruction Delivery Method
QAS Self-study
***This course was published in September 2023
Enterprise DNA is registered with the National Association of State Boards of Accountancy (NASBA) as a sponsor of continuing professional education on the National Registry of CPE Sponsors. State boards of accountancy have final authority on the acceptance of individual courses for CPE credit. Complaints regarding registered sponsors may be submitted to the National Registry of CPE Sponsors through its website: www.nasbaregistry.org.
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Curriculum
Course Overview
Introduction to Pandas
Data Handling and Exploration
Advanced Techniques
Conclusions and Insights
Course Wrap Up
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Certification
Your
Instructor

Sam McKay
CEO & Founder
- Sam is Enterprise DNA's CEO & Founder. He helps individuals and organizations develop data-driven cultures and create enterprise value by delivering business intelligence training and education on Microsoft’s Power BI platform
- He partners with business decision-makers and analysts across all industries and business functions.
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