Mastering Data Manipulation with Pandas

Dive into data mastery with our comprehensive Pandas course. Learn to manipulate and analyze data effectively, unlocking powerful insights that drive success.

1 hours
0 videos
23 exercises
212 xp

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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
1

Course Overview


2

Introduction to Pandas


3

Data Handling and Exploration


4

Advanced Techniques


5

Conclusions and Insights


6

Course Wrap Up


7

Your Feedback


8

Certification


9

Continuous Learning


Your

Instructor
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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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