#dataanalysiswithpython 搜索结果
Day 3 as a beginner in Data Science World Learned today: #WomenWhoCode #dataanalysiswithpython #freeCodeCamp #100DaysOfCode
Day 10 of my #DataAnalysisWithPython journey Today I leveled up my Python skills—variables, loops, functions and more. Practiced pure Python logic with no extra libraries . Python really powers everything from calculations to data analysis! #Python #CodingJourney #freecodecamp
Day 9 of my #DataAnalysisWithPython journey : I Covered reading data from CSV/TXT files, databases, and parsing HTML with Pandas & Python. Also learned how to save data to various files types eg. Excel. after processing. Theory locked ,can't wait to apply it in a real project.
Day 7 of my #DataAnalysisWithPython journey: Data detective theory confirmed! I learnt the Pandas playbook for Data Cleaning: how to handle missing values, fix data types, and use .drop_duplicates(). I Can't wait to practice data cleaning and make visualizations on the data.
Day 4 & 5 of #30daysofcode Indexing & slicing in Pandas Series; Arithmetic Operations in Series; Returning of set values in Series; Pandas DataFrame: Creating empty DataFrame; PROJECT: Used a given data of movie title, sex & year to create a DataFrame.👇🏾 #dataanalysiswithpython
#rfmanalysis #rfmclustering #dataanalysiswithpython #dataanalysiswithr #predectiveanalysis #behaviouranalysis #aiinmarketing
Day 1 as beginner in Data Science World 👩💻 📌I am starting my journey with Data Analysis with Python with FreeCodeCamp courses, please wish me luck. #WomenWhoCode #dataanalysiswithpython #freeCodeCamp #100DaysOfCode
Day 8 of my #DataAnalysisWithPython journey: Became a data detective today! Cleaned a messy sales dataset from top to bottom,handled missing values, fixed dates, and polished text. The reward? Clean, insightful bar and line charts. See full cleanup in the video @freeCodeCamp
Day 6 of my #DataAnalysisWithPython journey :I Leveled up my Python skills in Google Colab using Pandas and Matplotlib. I analyzed student scores from a csv file, calculated totals/averages/grades, and visualized everything. The screen recording below shows the full process.
Learn About Data Analysis With Python Step by step with this. #DataAnalysisWithPython #DataAnalysis #Python #techprofree
We kicked off our Data Analysis with Python training last Friday with a fantastic turnout of eager participants! Classes are held every Friday and Saturday. #DataAnalysisWithPython #EdoInnovates #PIPCommunity #Edostategovt
#Day87 - #100DaysOfCode Commenced my #DataAnalysisWithPython Training on @freeCodeCamp. #Supercharged! ⚡⚡💪🏽
#Day86 - #100DaysOfCode Going back to the python classes to get a better understanding. This was where python started getting tricky. Still trying to get a better grasp though. 😤😤 Not relenting.
What would the world even be without Data Analysts! Get profound skills of how, what and why to be a Data Analyst. #dataanalysis #dataanalysiswithpython #dataanalytics #dataanalyticsjob #dataanalystjobs #dataanalystcareer #dataanalystjobsinindia #get_excelsior
Casual day in the office😊. Watch my latest tutorial on Exploratory Data Analysis with Pandas using this link youtu.be/GYiPEw-806M #DataAnalysis #DataScience #DataAnalysiswithPython @RxData_Hub
Day 3 as a beginner in Data Science World Learned today: 📌Numpy & Pandas 📌Data Cleaning Introduction 📌Reading Data Introiduction (CSV,TXT,HTML& SQL) 📌Python Introduction #WomenWhoCode #dataanalysiswithpython #freeCodeCamp #100DaysOfCode
Day 2 of my #DataAnalysisWithPython journey Dived into Jupyter Notebook — learned how code & markdown cells work, how to import data, and some cool shortcuts. We used Notebook AI (like Google Colab). Feeling pumped to move on to NumPy & Pandas! #DataAnalysis @freeCodeCamp
Day 4 of my #DataAnalysiswithPython journey: Today I leveled up my skills on @freecodecamp by practicing NumPy operations in Google Colab: ✅Array creation & mathematical functions ✅Boolean indexing & filtering ✅Statistical analysis on student data
Week 2 of my #DataAnalysisWithPython journey at @TDataImmersed is complete! This week, I explored: ✅ Control structures (if-else, loops) ✅ Data structures (lists, dictionaries, sets) ✅ Advanced concepts like list/dictionary comprehensions & set operations
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