ruhiparveen
New member
hi
A junior data scientist should have strong foundational skills in programming (Python, R), data manipulation (Pandas, NumPy), and statistical analysis. Knowledge of machine learning algorithms and frameworks (scikit-learn, TensorFlow) is essential for model building. Proficiency in data visualization tools (Matplotlib, Seaborn, Tableau) helps in presenting insights. Understanding SQL for data extraction, along with experience in cloud platforms (AWS, GCP), is beneficial. A solid grasp of data cleaning, feature engineering, and evaluation metrics is crucial.
so if you want to learn data science please visit here: Data Science Training Course in Noida
A junior data scientist should have strong foundational skills in programming (Python, R), data manipulation (Pandas, NumPy), and statistical analysis. Knowledge of machine learning algorithms and frameworks (scikit-learn, TensorFlow) is essential for model building. Proficiency in data visualization tools (Matplotlib, Seaborn, Tableau) helps in presenting insights. Understanding SQL for data extraction, along with experience in cloud platforms (AWS, GCP), is beneficial. A solid grasp of data cleaning, feature engineering, and evaluation metrics is crucial.
so if you want to learn data science please visit here: Data Science Training Course in Noida