An outline of this training course
The Mastering Data Manipulation with Pandas course teaches you to use the Pandas library for efficient data analysis, ideal for beginners and intermediate learners. Covering core concepts from Series and DataFrame to advanced techniques, you’ll gain hands-on experience in importing, cleaning, exploring, and visualizing data. See practical applications in financial and HR analysis, and combine theory with exercises to make data-driven decisions in your career. Join us to enhance your data skills with Pandas!
What is 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 in 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.