Okay, that was a little bit more of a pain to go through, but I still did it. This course took me through the Pandas library, with a greater focus on manipulating a DataFrame through Python. In the lessons "Summary Functions and Maps" and "Grouping and Sorting," I couldn't really wrap my head around the significance of "lambda" in Pandas, and the wording of certain exercises didn't exactly tell me what I had to do. I also still found I had some difficulty with the .agg() method, which can call multiple defined, chosen functions on a DataFrame. In the future, I'll see if I can practice the use of these two a lot more. There also seemed to be some deprecated methods and techniques for which Colab was showing error messages. Still got 13 more to go.
Teja Dasari’s Post
More Relevant Posts
-
Thrilled to announce that I’ve earned my Pandas certification! 📊 🐍 This program equipped me with advanced data manipulation and analysis skills using Pandas in Python. #Pandas #DataAnalysis #datamanipulation
khemraj mangal completed the Pandas course on Kaggle!
kaggle.com
To view or add a comment, sign in
-
I'm excited to share that I’ve successfully completed the Pandas course on Kaggle! 🚀 This course has enhanced my data manipulation skills, allowing me to work more effectively with Python and the powerful Pandas library. Looking forward to applying these skills in future projects and data analysis challenges. #DataScience #Python #Pandas #Kaggle #DataAnalysis
Pratham Bade completed the Pandas course on Kaggle!
kaggle.com
To view or add a comment, sign in
-
I'm excited to announce that I have successfully completed the Pandas course on Kaggle and received my certificate. This course has equipped me with the skills to efficiently use the Pandas library for data manipulation and analysis in Python. Looking forward to applying these skills in future projects. #pandas #Kaggle #DataScience #Python
Areej Saad completed the Pandas course on Kaggle!
kaggle.com
To view or add a comment, sign in
-
"Excited to announce that I have successfully completed the course in 'pandas'! 🎉 This journey has been incredibly enriching, and I've gained valuable insights into pandas. I'm grateful for the opportunity to expand my knowledge and skills in machine learning and python. Looking forward to applying what I've learned in future projects and endeavors. Let's keep growing and learning together! #ContinualLearning #ProfessionalDevelopment #NewSkills"
Saurav kumar Jena completed the Pandas course on Kaggle!
kaggle.com
To view or add a comment, sign in
-
I recently rediscovered my old Pandas certificate from Kaggle! #DataScience #Pandas #Kaggle #Python #DataAnalysis #ContinuousLearning
Lucas Lazzari completed the Pandas course on Kaggle!
kaggle.com
To view or add a comment, sign in
-
🎉 Just completed the Pandas course on Kaggle to perfect my data manipulation skills in Python! 🚀 In this course, I've tackled hands-on challenges and enhanced my expertise in: 1. Creating, Reading, and Writing data 2. Indexing, Selecting, and Assigning 3. Using Summary Functions and Maps 4. Grouping and Sorting complex datasets 5. Handling Data Types and Missing Values 6. Renaming and Combining data from multiple sources Excited to apply these new skills to real-world projects and drive impactful insights! 💡📊 #DataScience #Kaggle #DataManipulation #Pandas #Python #ContinuousLearning
Supratim Bhattacharjee completed the Pandas course on Kaggle!
kaggle.com
To view or add a comment, sign in
-
Python | Python Library Pandas | Data Structures - Series, DataFrame, Panel | Operations - Slicing, Merging, Joining, Concatenation | Changing Index and Column Header | Pandas-Matplotlib | Data Munging | Data Visualization #datascience Kaggle #pandas
Muhmad Akmal completed the Pandas course on Kaggle!
kaggle.com
To view or add a comment, sign in
-
Just completed the Pandas course on Kaggle! 📊🐼 For those unfamiliar, Pandas is a powerful Python library essential for data manipulation and analysis. It's a game-changer in the data science world, allowing for: - Efficient handling of large datasets - Easy data cleaning and transformation - Quick analysis and visualization of complex data In this course I improved the following skills: -Data Manipulation -Handling missing data #DataScience #Python #Pandas #ContinuousLearning
Nicholas Lima completed the Pandas course on Kaggle!
kaggle.com
To view or add a comment, sign in
-
"Excited to share that I’ve recently completed the Pandas course on Kaggle! 🐼📊 This course has strengthened my ability to manipulate, analyze, and explore data efficiently using Python’s powerful Pandas library. From handling dataframes to uncovering trends in datasets, it’s been an enriching journey! Looking forward to applying these skills in real-world data projects and continuing my learning adventure in data science. 🚀 #Pandas #DataScience #Python #Kaggle #ContinuousLearning"**
Jisa Varghese 123 completed the Pandas course on Kaggle!
kaggle.com
To view or add a comment, sign in
-
I completed the Pandas course offered by Kaggle, which provided a comprehensive introduction to data manipulation and analysis using the Pandas library in Python. The course covered essential topics such as: -DataFrames and Series: Understanding and creating Pandas data structures. -Data Cleaning: Handling missing values and cleaning messy data. -Data Transformation: Applying operations to data, including filtering, grouping, and aggregating. -Merging Data: Combining data from multiple sources using joins and merges. #Datascience #Pandas #Kaggle
Aron Fernando completed the Pandas course on Kaggle!
kaggle.com
To view or add a comment, sign in