Companies Home Search Profile

Mastering Python Pandas: From Beginner to Data Science Pro

Focused View

Tamas Mandli

2:11:28

0 View
  • 1. Setting Up Your Python Development Environment.mp4
    03:36
  • 2.1 databases.7z
  • 2. Setting Up Your Project and Preparing Databases.mp4
    03:15
  • 3. How to Learn If Youre an Absolute Beginner. Tools for Learning Pandas.mp4
    02:03
  • 1. Getting Started with Pandas Loading and Exploring Your First Dataset.mp4
    04:55
  • 2. Working with Specific Columns and Previewing Data Subsets.mp4
    04:00
  • 3. Selecting Specific Rows in a DataFrame with Pandas.mp4
    03:04
  • 4. Practice Session 1 Applying Basic Pandas Commands.mp4
    03:42
  • 5. Creating a DataFrame from Lists in Pandas.mp4
    03:31
  • 6. Mastering Data Selection with loc and iloc in Pandas.mp4
    05:16
  • 7. Performing Operations on DataFrame Columns in Pandas.mp4
    03:09
  • 8. Practice Session 2.mp4
    08:59
  • 9. Intermediate-level Data Management with Pandas.mp4
    04:11
  • 10. Exploring Data with the Describe Method in Pandas.mp4
    03:03
  • 11. Practice Session 3.mp4
    05:23
  • 12. For Loops in Pandas DataFrames.mp4
    04:26
  • 13. Mastering For Loops with Pandas DataFrames.mp4
    06:09
  • 14. Practice Session 4.mp4
    05:18
  • 1. Advanced Functions Leveraging Lambda in Pandas I.mp4
    02:35
  • 2. Advanced Functions Leveraging Lambda in Pandas II.mp4
    05:00
  • 3. Advanced Functions Leveraging Lambda in Pandas III.mp4
    02:36
  • 4. Calculating Averages in Pandas Using For Loops.mp4
    03:03
  • 5. Handling Missing Data with fillna in Pandas.mp4
    03:16
  • 6. Understanding and Manipulating Indexes in Pandas DataFrames.mp4
    03:16
  • 7. Advanced Filtering Techniques with Pandas.mp4
    07:13
  • 8. Sorting Data with Pandas.mp4
    03:23
  • 9. Mastering Data Aggregation with Pandas GroupBy.mp4
    07:57
  • 10. Working with Dates in Pandas.mp4
    04:51
  • 11. Concat Function in Pandas.mp4
    04:03
  • 12. Data Merging with Pandas.mp4
    04:57
  • 13. End of the Advanced Level!.mp4
    00:28
  • 1. Easy level - Practical Data Filtering and Transformation with Pandas.mp4
    04:50
  • Description


    Become a Master of Data Analysis, Data Mining, and Data Manipulation with Pandas.

    What You'll Learn?


    • Understand and Utilize Pandas for Data Manipulation
    • Perform Data Analysis with Pandas
    • Develop Custom Data Analysis Functions
    • Implement Data Cleaning and Preprocessing
    • Perform Data Mining with Pandas
    • Refine Data for Advanced Analysis

    Who is this for?


  • This course is recommended for anyone interested in Data Science and Data Analysis. It is primarily designed for those who wish to master Pandas at an advanced level.
  • What You Need to Know?


  • No prior programming experience is required. However, please note that learning Pandas without any programming background may take more time.
  • More details


    Description

    Welcome to "Mastering Python Pandas: From Beginner to Data Science Pro." If you're passionate about Data Science and Data Analysis, you've found the perfect course. In a world where data manipulation, analysis, and mining are increasingly vital due to the rise of AI, mastering these skills is crucial for career advancement.

    This comprehensive course is dedicated to Pandas, one of the most widely-used libraries for data manipulation and analysis in Python. Unlike other courses, we focus exclusively on Pandas, ensuring you gain a deep and thorough understanding of its capabilities. You might think solving complex data tasks and writing effective code is beyond your reach, but by the end of this course, you'll be proficient in tackling even the most challenging problems, regardless of your prior programming experience.

    Our hands-on, practice-oriented approach means you'll work on numerous real-life projects, developing not only your Pandas skills but also enhancing your analytical thinking and problem-solving abilities. By the course's conclusion, you'll be equipped to handle complex tasks you might encounter in a professional setting.

    Who Should Enroll? This course is perfect for both absolute beginners and advanced learners. Even if you have no prior experience with Python or programming, you'll find the step-by-step guidance easy to follow. We start from the basics and gradually build up to master-level proficiency. Along the way, you'll complete many exercises with detailed solutions, ensuring you fully understand both Pandas and fundamental Python functions.

    Who this course is for:

    • This course is recommended for anyone interested in Data Science and Data Analysis. It is primarily designed for those who wish to master Pandas at an advanced level.

    User Reviews
    Rating
    0
    0
    0
    0
    0
    average 0
    Total votes0
    Focused display
    Tamas Mandli
    Tamas Mandli
    Instructor's Courses
    I am a dedicated graphic designer with a background in programming, a combination that fuels my passion for the limitless potential of AI. Over the past few years, I've delved deep into the world of artificial intelligence, continuously pushing its boundaries. However, my creative spirit doesn't stop there. I cherish all forms of art, which is evident from the published novel to my name, as well as the computer and Android games I've developed.
    Students take courses primarily to improve job-related skills.Some courses generate credit toward technical certification. Udemy has made a special effort to attract corporate trainers seeking to create coursework for employees of their company.
    • language english
    • Training sessions 31
    • duration 2:11:28
    • Release Date 2024/09/18