Description
Core Subjects & Skills
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Programming for Data Science: especially in Python (and sometimes R) – libraries like NumPy, Pandas, Matplotlib. Intellipaat+3GeeksforGeeks+3AnalytixLabs+3
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Statistics & Probability: descriptive statistics, inferential statistics, hypothesis testing, probability distributions. Intellipaat+2Simplilearn.com+2
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Mathematics for Data Science: linear algebra (vectors, matrices), calculus, optimization. GUVI+2Scaler+2
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Data Wrangling & Exploratory Data Analysis (EDA): cleaning data, handling missing values, preparing the data for analysis. datasciencecourse.net+2AnalytixLabs+2
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Data Visualization: creating effective visualizations to communicate insights (charts, dashboards) Applied AI Course
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Machine Learning: supervised/unsupervised algorithms (regression, classification, clustering, dimensionality reduction, etc) Simplilearn.com+1
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Big Data / Data Engineering (for advanced courses): working with large datasets, pipelines, databases, cloud infrastructure. AnalytixLabs+1
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Domain/Business Knowledge & Communication Skills: interpreting results for business, storytelling with data. Intellipaat+1
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Ethics, Data Governance (in stronger programmes) – while less always emphasised, it is increasingly important.
