introduction to supply chain management dataframe

supply chian management

1. History of Data Science - Led to the Demand for Data Analysts

2. data science

3. Data science is based on the collection, preparation, analysis, management, visualization, and storage of large volumes of information. In other words, computer science deals with Big Data storage and analysis.

4. A Brief History

5. In that paper, Tukey wrote: “For a long time I thought I was a statistician, interested in inferences from the particular to the general. But as I have watched mathematical statistics evolve, I have had cause to wonder and to doubt…I have come to feel that my central interest is in data analysis…”

6. Data Analytics: Statistics in the Computer Age Tukey saw how merging the depth of statistics with the power and speed of computers brought data to life in new ways. In hours instead of days or weeks. Over the years, hours turned to minutes, seconds, and nanoseconds. In a relative flash, the bits of data – their analysis and application, became a new branch of science. Evolved from statistics but a distinct discipline focused on understanding how vast amounts of data should be collected, stored, manipulated, and analyzed.

7. Data Analytics: Statistics in the Computer Age

8. Technical and Soft Skills of a Data Analyst