+91 63668 97070
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Welcome to the Data Science tutorial.
Data Science is an interdisciplinary field that combines statistics, computer science, and domain knowledge to extract meaningful insights from structured and unstructured data. This course provides a basic understanding and answers common questions related to Data Science.
Course Fess 15,000/-
Frequently Asked Questions?
Data Science involves collecting, processing, analyzing, and visualizing data to support decision-making and problem-solving.
Statistics, Machine Learning, Data Mining, Data Visualization, and Big Data Technologies.
A Data Scientist cleans data, performs analysis, builds predictive models, and presents insights to help businesses make data-driven decisions.
Common tools include Python, R, SQL, Excel, Tableau, Power BI, Hadoop, and Spark.
Python and R are the most widely used programming languages in Data Science.
Data Science is a broader field focused on analyzing data, while Machine Learning is a subset that involves training models to make predictions.
