Data Science involves: Statistics, Excel, Linear Algebra, Power BI, Machine Learning, SQL
What you will learn
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Designing and maintaining data systems and databases; this includes fixing coding errors and other data-related problems. Mining data from primary and secondary
Data Acquisition, Data Entry, Signal Reception, Data Extraction. This stage involves gathering raw structured and unstructured data.
1. Machine learning is the backbone of data science. Data Scientists need to have a solid grasp of ML
5 Different Practical Data Science projects with ipython Notebooks
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