Data Scientists use advanced statistical methods and computing technologies to extract insights from data and to draw conclusions. They typically work side by side with Data Analysts, Data Engineers, and Business Analysts to help businesses leverage their data assets. Data Scientists typically hold at least a Master's Degree in a relevant field. They also need to be open to learning new techniques and technologies, as the field of data science is relatively new, and this requires constant training and education.
Python (scikit-learn, pandas, NumPy), keras, TensorFlow, Pytorch, Spark MLlib, SQL, Apache Spark, Hadoop, Hive, Pig, Tableau, R Studio, Power BI, Latex, Advanced Excel, AWS, MS Azure, Heroku, GitHub, MySQL, MongoDB
Deep Learning Specialization, Natural Language Specialization
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