🐼 Unlock the Power of Pandas - 30 Days Study Plan FREE for a Limited Time in August! 📚 Are you interested in data science and analysis? 📊 Then you can't miss learning Pandas, one of the most popular and powerful tools in data science and analysis. LeetCode has just released a new 30 Days of Pandas study plan to help you grasp the fundamental concepts of Pandas. 🎓 This study plan is tailored for beginners in Pandas, data analysis, and data science. After the study plan, you'll master basic data operations using Pandas and build a solid foundation for handling data analysis tasks effectively. Take the chance to practice the problems and win the badge! 💪 Start the study plan now: https://lnkd.in/gbrzSynu #Data #DataScience #DataAnalysis #Pandas #LeetCode #StudyPlan #Python #PythonPandas
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🚀 Just Completed the Pandas 30 Days Challenge! 🐼 It's been a fruitful journey to enhance my data analysis skills through conquering 30 challenges. If you're looking to level up your data analysis skills, I highly recommend joining the challenge and experiencing the thrill of conquering data hurdles with Pandas! 🌱💡 You will practice: 🔍Using Pandas to handle missing values, duplicates, and outliers to meet analysis requirements. 📑Using Pandas to index, filter, select, and sort data for quick access to the desired information. 📊Performing data aggregation and grouping operations with Pandas, enabling deeper analysis. 🔗Data merging and concatenation using Pandas to integrate multiple datasets into a comprehensive data source. 📈Conducting statistical calculations using Pandas to gain insights into the dataset. #dataanalysis #pandas #leetcodechallenge
🐼 Unlock the Power of Pandas - 30 Days Study Plan FREE for a Limited Time in August! 📚 Are you interested in data science and analysis? 📊 Then you can't miss learning Pandas, one of the most popular and powerful tools in data science and analysis. LeetCode has just released a new 30 Days of Pandas study plan to help you grasp the fundamental concepts of Pandas. 🎓 This study plan is tailored for beginners in Pandas, data analysis, and data science. After the study plan, you'll master basic data operations using Pandas and build a solid foundation for handling data analysis tasks effectively. Take the chance to practice the problems and win the badge! 💪 Start the study plan now: https://lnkd.in/gbrzSynu #Data #DataScience #DataAnalysis #Pandas #LeetCode #StudyPlan #Python #PythonPandas
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Data Science Intern @HCLTech | Data Scientist | Python | Machine Learning | Prompt Engineer | C/C++ |
🚀 Day 1️⃣3️⃣ / 1️⃣0️⃣8️⃣ of #108daysofconsistencychallenge Round 2.0 🚀 Date: September 30, 2023 Today's Data Discovery 📊🐼: 🐍 Revisited the Marvelous World of Pandas: Today, I took a deep dive back into the world of Pandas. It's remarkable how this Python library continues to amaze me with its power to manipulate and analyze data. From data cleaning and preparation to complex transformations, Pandas has proven time and again to be an invaluable tool for any data enthusiast. Its potential to play with data is truly admirable, making it an essential skill for data scientists and analysts. You can also find the notebook here : https://lnkd.in/dVsGYVRy The #108daysofconsistencychallenge is a journey of continuous learning, and Pandas is one of those trusty companions that never fails to impress. If you share the same admiration for data manipulation or have insights to share, let's connect and keep the data magic alive! 🌟📊💡 #DataScience #Pandas #ContinuousLearning #DataManipulation
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Forex market analyst | Client Relations | Marketing | Data-Driven Growth | AI/ML Expertise | Strategic Trading
📊 Day 4: Digging Deeper into Data with Pandas 🐼 On the fourth day of my 40-day Data Science Skills Challenge, I'm going deeper into data manipulation and analysis using the powerful Python library, Pandas! 📋 Today's Focus: Advanced Pandas Techniques Exploring advanced features of Pandas for data cleansing, transformation, and aggregation. 🚀 Progress: Successfully tackled complex data tasks and gained a better understanding of data structures. 💡 Insight: A clean and well-organized dataset is the foundation for meaningful analysis. #DataScience #40DayChallenge #Pandas #DataManipulation #DataAnalysis #PythonProgramming #DataCleaning #DataStructures #DataScientistJourney #LinkedInChallenge Data is at the heart of everything we do in data science, and mastering Pandas is like having the keys to unlock its potential. 📊🔑 Stay tuned for daily updates as I continue to sharpen my data manipulation skills and unravel the secrets hidden in datasets. Let's keep the data journey going! 💪📈
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[Article on Medium] 📊 Hai, Data-Savvy 📊, I'm excited to share "The Ultimate Pandas Guide: Simplifying Data Operations" with you! 🎉 I spent a lot of time 🕒 creating this simple cheatsheet📚. In my journey of learning data science, I struggled with memorizing the essential functions for data manipulation. That's why I created this summary to help those of you who are learning data science🚀. 🧙♂️ Dive into the world of pandas and take your data manipulation skills to the next level. Whether you're a seasoned data wizard or just starting your data journey, this guide has something for everyone. 🌐 For more details, you can find the complete guide on my GitHub: https://lnkd.in/gUEB8pFe Let's make data analysis fun and efficient! 🐾💻🎩 #DataScience #Python #Pandas #DataSavvy #DataAnalysis
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Python Developer | Django Developer | Data analyst | Competitive Programmer | Front-end Developer | Hands on C, C++, Java | Interest on Machine Learning | Student of Computer Science and Engineering
🚀 Day 1 of my "10 Days of Python Pandas" Challenge! 📂 Check out my progress and code on GitHub: https://lnkd.in/dWt763B3 🔍 What I Learned Today: ✅What is Pandas?: Understanding its role in data manipulation and analysis. ✅Where We Use Pandas: Exploring various use cases in data science. ✅What We Can Do with Pandas: Learning about its powerful data handling features. ✅Basic Program: Writing my first Pandas program. ✅Series with Pandas: Creating and utilizing Pandas Series for data analysis. ▶Comparison Operations: Utilizing logical operators for data comparison. ▶Indexing: Accessing data efficiently with different indexing techniques. ▶Slicing: Extracting data subsets using slicing methods. ▶Methods: Leveraging built-in Pandas methods for complex data manipulations. ▶Arithmetic Operations: Performing element-wise and DataFrame-level arithmetic. ▶Aggregation Operations: Summarizing data using functions like sum, mean, and groupby. ▶Attributes: Exploring various Pandas attributes to understand data properties. Excited to continue my journey with Pandas and share my learnings with you all! #Python #Pandas #DataScience #10DaysOfPandas #LearningJourney #Day1 #GitHub #PandasParadise #CodingChallenge #ProfessionalDevelopment #DataAnalysis #DataManipulation #DataWrangling #DataVisualization #Programming #TechSkills #PythonProgramming #DataCleaning #DataStructures #BigData #MachineLearning #Analytics #DataEngineering #Statistics #DataMining #EDA #PythonPandas #OpenSource #DataTransformation #LearningPython #TechJourney
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Hi, everyone! Week 4 of data science was like getting new gadgets for my Python toolbox! I explored NumPy, Pandas, and DataFrames, which are like super tools for working with data. NumPy is my new super calculator, letting me do complex math on tons of data at once, instead of one number at a time. Pandas is like a data organizer, helping me clean up messy information and get it ready for analysis. DataFrames are like fancy spreadsheets that hold different types of data in rows and columns, making it easy to find what I need. Using these new tools, I learned how to do fancy calculations on big batches of data with NumPy. Pandas helped me clean up my data by removing mistakes and organizing it neatly. DataFrames let me explore my data in different ways, like finding patterns and asking questions. Week 4 was awesome! I learned a lot about working with data, and I'm excited to keep learning and see what cool things I can discover next! #DigitalSkola #LearningProgressReview #DataScience
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📊 Unlock the Power of #DataImporting in #Python with our Cheat Sheet-2! Data is the lifeblood of every #datascientist and how you import it matters. Dive into our latest cheat sheet covering crucial topics: 📈 Excel Spreadsheets 📁 SAS Files 📑 Stata Files 🔗 Relational Databases 🔍 Querying Relational Databases 🐼 Querying with Pandas 🔬 Exploring Your Data (NumPy Arrays, Pandas DataFrames) Master these essentials and level up your data science game. It's time to make your data work for you! 📌Join #1StepGrow, where data science experts excel! Let's unlock the data-driven future together. 👉 Follow 1stepGrow Academy for more invaluable insights! #1stepGrow_Academy #DataAnalysis #Skills
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Associate Software Engineer @ Disney | Georgia Tech '27, M.S. Computer Science, Machine Learning | UCF '23, B.S. Computer Science
Just completed the skill track "Intro to Pandas for Data Analysis" on https://app.datawars.io/! 🐼🐼 This course taught me some of the essential skills for using Pandas, a Python library specialized in working with tabular data to perform data analysis. Working with tabular data is an important prerequisite for Data Science and Machine Learning, since data and statistics play such a fundamental role in training and evaluating machine learning models. In this course, I learned how to: - Load tabular data from different formats (CSV, Excel, etc.) - Conduct statistical analysis on data - Filter data using Series - Perform vectorized operations with Series - Manipulate, filter, and sort data with DataFrames - Visualize tabular data by plotting with the Matplotlib library This is the first step of my Data Science & Machine Learning journey!
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