@datascibykashi: Whether you're a Data Analyst, Data Scientist, Data Engineer, or ML Engineer, these concepts are essential: 1️⃣ Data Cleaning 🧹 Handle missing values, duplicates, outliers, and inconsistent data. 2️⃣ Exploratory Data Analysis (EDA) 🔍Discover patterns, trends, and anomalies before modeling. 3️⃣ Statistics 📈 Understand mean, median, mode, variance, standard deviation, probability, and hypothesis testing. 4️⃣ SQL & Databases 🗄️ Query, filter, join, and manage data efficiently. 5️⃣ Data Visualization 📊 Communicate insights using Power BI, Tableau, Plotly, or Matplotlib. 6️⃣ Feature Engineering ⚙️ Select, transform, and create features to improve model performance. 7️⃣ Machine Learning Basics 🤖 Know the difference between supervised, unsupervised, and reinforcement learning. 8️⃣ Model Evaluation 📏 Understand Accuracy, Precision, Recall, F1-Score, ROC-AUC, RMSE, and MAE. 9️⃣ Data Ethics & Privacy 🔒 Protect sensitive data, reduce bias, and ensure responsible AI practices. 🔟 Business Understanding 💼 Turn data into actionable insights that solve real business problems. 💡 Remember: Data isn't valuable because it exists. It's valuable when it helps people make better decisions. #DataScience #DataAnalytics #DataEngineer #MachineLearning #creatorsearchinsights

Data Scientist | Kashi

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Sunday 28 June 2026 08:33:35 GMT