@datascibykashi: Master these concepts to build a strong foundation in Data Analytics. 1️⃣ Data Collection 📥 Gathering data from databases, APIs, surveys, or other sources. 2️⃣ Data Cleaning 🧹 Handling missing values, duplicates, and inconsistent data. 3️⃣ Exploratory Data Analysis (EDA) 🔍 Understanding data using summaries and visualizations. 4️⃣ Data Visualization 📈 Communicating insights through charts and dashboards. 5️⃣ Descriptive Statistics 📊 Summarizing data using mean, median, mode, and standard deviation. 6️⃣ Probability 🎲 Measuring the likelihood of events. 7️⃣ Hypothesis Testing 🧪 Using statistical tests to determine whether results are significant. 8️⃣ Correlation 🔗 Measuring the relationship between variables. 9️⃣ Regression 📉 Predicting continuous values and understanding variable relationships. 🔟 Classification 🎯 Predicting categories such as spam/not spam or fraud/not fraud. 1️⃣1️⃣ Clustering 👥 Grouping similar data without predefined labels. 1️⃣2️⃣ Feature Engineering ⚙️ Creating or transforming variables to improve model performance. 1️⃣3️⃣ Data Wrangling 🔄 Transforming raw data into an analysis-ready format. 1️⃣4️⃣ SQL 🗄️ Querying, filtering, joining, and aggregating data from databases. 1️⃣5️⃣ ETL (Extract, Transform, Load) 🔄 Moving and preparing data for analysis. 1️⃣6️⃣ Dashboarding 📋 Building interactive dashboards using tools like Power BI or Tableau. 1️⃣7️⃣ Time Series Analysis ⏳ Analyzing trends, seasonality, and patterns over time. 1️⃣8️⃣ A/B Testing ⚖️ Comparing two versions of a product or feature to measure impact. 1️⃣9️⃣ Key Performance Indicators (KPIs) 📌 Tracking metrics that measure business performance. 2️⃣0️⃣ Data Storytelling 📖 Turning data into clear, actionable insights for decision-makers. 🛠️ TOOLS EVERY ANALYST SHOULD KNOW 🐍 Python 🐼 Pandas 🗄️ SQL 📊 Excel 📈 Power BI / Tableau 🔢 NumPy 💡 Data analytics isn’t just about creating charts or writing SQL queries. It’s about asking the right questions, finding reliable insights, and helping people make better decisions with data. Save this checklist and keep learning! 📌 #DataAnalytics #DataAnalysis #DataScience #Python #creatorsearchinsights

Data Scientist | Kashi

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Tuesday 04 August 2026 08:54:07 GMT