Udemy

Crash course: Data analytics in Python using Pandas

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  • 21,289 Students
  • Updated 9/2023
  • Certificate Available
4.6
(591 Ratings)
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Course Information

Registration period
Year-round Recruitment
Course Level
Study Mode
Duration
0 Hour(s) 59 Minute(s)
Language
English
Taught by
Kieran Keene
Certificate
  • Available
  • *The delivery and distribution of the certificate are subject to the policies and arrangements of the course provider.
Rating
4.6
(591 Ratings)
3 views

Course Overview

Crash course: Data analytics in Python using Pandas

Let's get to grips with the Python Pandas library for data analytics / analysis

Unleash Data Magic with Python Pandas:

Ready to supercharge your data skills? Dive into our Python Pandas course, where data becomes your playground and insights are your treasure.

Why Choose This Course?

  • Elevate Your Data Game: Python Pandas is the secret sauce behind cutting-edge data analysis. Become a data virtuoso in just a few clicks!

  • Unlock Hidden Insights: I'll teach you to cleanse, manipulate, and analyze data like a pro. Say goodbye to messy datasets, and hello to crystal-clear conclusions!

  • Real-World Experience: Dive into captivating, real-world projects that put your newfound skills to the test. Learn by doing and conquer any data challenge.

What's In Store For You?

  • Data Transformation Mastery: Harness Python Pandas to transform raw data into invaluable insights. You'll wonder how you ever lived without it!

  • Data Wizardry: Learn the art of data ingestion, where you'll effortlessly extract, clean, and prepare data for analysis. No more data headaches!

  • Data Brilliance: By the course's end, you'll have the power to wield Python and Pandas like a seasoned pro, extracting untold gems of wisdom from your own datasets.


Join me and embark on a journey where data isn't just numbers; it's your passport to making data-driven decisions with confidence. Get ready to chart your course in the data-driven world. Enroll now and let your data adventures begin!


You will need to have Python installed and the Pandas library installed - which you can do using 'pip install pandas'.

Course Content

  • 5 section(s)
  • 21 lecture(s)
  • Section 1 Introduction
  • Section 2 A project to get us started
  • Section 3 The Pandas Essentials
  • Section 4 Practicing what we have learned
  • Section 5 Conclusion

What You’ll Learn

  • Perform data analysis with the Pandas library
  • Learn about dataframes and how to conduct data analysis in Python
  • Understand how to handle missing values in your data
  • Understand how to handle & clean up messy data

Reviews

  • R
    R Systems Interntion Limited
    5.0

    It was extremely succinct and detailed, with no unnecessary frills. It also provided good coding examples to help you get acquainted with the code. Great introductory course!

  • A
    Anthony Morgan
    5.0

    An excellent introduction to pandas, which will teach you enough to be confident with some basic data analysis. All the concepts were explained in clear, easily understandable terms and broken down step by step. I'd recommend it for anyone who knows a little Python and wants to start getting to grips with pandas.

  • K
    Kenneth Meeren
    5.0

    Great orator, easy to follow and useful data analysis course. Highly recommend.

  • U
    Urvashi Pundir
    5.0

    Very Helpful course for the beginners. pandas library explained very well and pivot tables and function concepts covered. Thank you for making this available.

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