Big data refers to data sets that are too large or complex to be dealt with by traditional data-processing application software.
Statistics enables you to analyze the data effectively. It enables you to reach better and more accurate conclusions.
Insights allow you to better understand your business and optimize it based on data analysis and defined logics.
Jupyter is an open-source tool based on iPython, which supports multiple languages like Python, R and Julia, for data visualisations, and presentations work.
Matplotlib is a plotting and visualization library developed for Python. It is the most popular tool for generating graphs with the analyzed data.
Tableau is a Data Visualisation software, focused on industries working in the field of business intelligence.
Excel is a powerful analytical tool for Data Science. While it has been the traditional tool for data analysis, Excel still packs a punch.
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