Pooja Pawar, PhD✓

Explore credit card fraud detection using Python and Pandas. Learn how to inspect transactions, clean data, analyze class imbalance, identify anomalies, and visualize fraud patterns through a practical EDA project. #Python #DataScience #MachineLearning #DataAnalytics #Pandas #FraudDetection #EDA

Explore a Netflix data analysis project using Python and Pandas. Learn to clean datasets, perform EDA, analyze movies and TV shows, identify content trends, and create visualizations that turn raw data into meaningful insights. #Python #DataAnalysis #Pandas #DataScience #EDA #DataAnalytics #PythonProjects

RT @SheExploresData: Excel vs SQL vs Python

Learn how Pandas groupby() works in Python with practical examples. Group data, calculate sums, averages, and counts, apply multiple aggregations, and filter grouped results to uncover meaningful insights. #Python #Pandas #DataAnalysis #DataScience #DataAnalytics #PythonProgramming #DataCleaning

Learn Exploratory Data Analysis (EDA) in Python with Pandas, NumPy, Matplotlib, and Seaborn. Explore data inspection, missing values, statistics, distributions, correlations, and outlier detection with practical examples. #Python #EDA #DataAnalysis #DataScience #Pandas #DataAnalytics #DataVisualization

Explore how AI can simplify data analysis, from cleaning datasets and discovering patterns to generating visualizations, SQL queries, predictive models, and reports. Learn practical ways to combine AI tools with analytical skills. #AI #DataAnalytics #DataScience #ArtificialIntelligence #MachineLearning #AIAutomation #DataAnalysis

50 essential skills every Data Analyst should master! From SQL, Excel, Python, and Power BI to statistics, data visualization, and business insights, this checklist covers the skills needed to become a confident data analyst. Save it for your learning journey! #DataAnalytics #DataAnalyst #SQL #Python #PowerBI #DataScience #Excel

Data cleaning is one of the most important skills every data analyst needs. Learn 6 essential steps to turn messy, incomplete, and inconsistent datasets into reliable data for better analysis and decision-making. #DataCleaning #DataAnalytics #DataAnalysis #Python #SQL #DataScience #DataAnalyst

9 essential charts and graphs every Data Analyst should know! From bar charts and line graphs to heatmaps, scatter plots, and box plots, learn when to use each visualization to uncover patterns, compare data, and communicate insights effectively. #DataVisualization #DataAnalytics #DataScience #DataAnalyst #Python #PowerBI #Excel

19 essential Excel functions everyone should know! From SUM, AVERAGE, and IF to XLOOKUP, INDEX MATCH, and date functions, master the formulas that make data cleaning, calculations, and analysis faster and easier. Save this Excel cheat sheet for daily use! #Excel #MicrosoftExcel #ExcelTips #ExcelFormulas #DataAnalytics #DataAnalysis #Productivity

Great data analysis tells a story, not just shows numbers! Learn 6 essential data storytelling techniques to turn complex data into clear visuals, meaningful insights, and smarter business decisions. Master the art of making data understandable and actionable. #DataStorytelling #DataVisualization #DataAnalytics #DataScience #PowerBI #DataAnalyst #BusinessIntelligence

Explore 15 essential Pandas operations for data analysis in Python, from loading and cleaning datasets to filtering, grouping, merging, handling missing values, and visualizing results. A practical reference for everyday analysis. #Python #Pandas #DataAnalysis #DataScience #DataAnalytics #DataCleaning #PythonProgramming

25 useful ChatGPT prompt shortcuts to save time and boost productivity. From writing and coding to research, planning, and content creation, these prompts can make everyday tasks easier. #ChatGPT #AI #ArtificialIntelligence #AITools #PromptEngineering #Productivity #GenerativeAI

SQL queries are written in one order but logically processed in another. Understand how FROM, JOIN, WHERE, GROUP BY, HAVING, SELECT, and ORDER BY work together to filter, aggregate, and organize data for accurate analysis. #SQL #DataAnalytics #DataScience #SQLTips #Database #DataEngineering #DataAnalyst

SQL vs Python vs PySpark: 50 essential data operations compared side by side. From filtering, joins, and aggregations to window functions and data transformations, learn how the same tasks work across three powerful data technologies. #SQL #Python #PySpark #DataEngineering #DataAnalytics #BigData #DataScience

Explore the best platforms to learn Python, practice coding, build real-world projects, and prepare for technical interviews in 2026. From beginner tutorials to advanced challenges, these resources can help you improve your skills. #Python #Coding #Programming #LearnPython #DataScience #SoftwareDevelopment #100DaysOfCode

Learn 8 essential SQL data cleaning techniques to handle missing values, remove duplicates, standardize text, validate records, and improve data quality for more accurate analysis. #SQL #DataAnalytics #DataScience #DataCleaning #SQLTips #DataAnalyst #BigData

SQL or Python for Data Analysis? You don’t have to choose just one. SQL excels at querying structured data, while Python shines in cleaning, exploration, automation, and advanced analysis. Learn both. #SQL #Python #DataAnalytics #DataScience #DataAnalyst #Pandas #LearnSQL

Power BI is much more than building dashboards. It’s an end-to-end analytics workflow: connect, clean, model, calculate, visualize, share, and turn data into decisions that people can actually use. #PowerBI #DataAnalytics #BusinessIntelligence #DAX #DataVisualization #MicrosoftFabric #DataAnalysis

SQL and Python often solve the same data problems in different ways. Learn how filtering, grouping, sorting, joins, updates, and more translate from SQL to Pandas. #SQL #Python #Pandas #DataAnalytics #DataScience #DataAnalyst #LearnPython