6 weeks of summer training in data science deals with a lot of modules. Have a look below:
You will get the basic knowledge about an introduction to data science and Data Analytics. Data science summer industrial internship will also deal with knowledge about the tools and techniques involved in data science. The following topic deals with the practical approach and introduction to Data Analytics languages and environment. You will get a specific introduction to our interfaces, date and time values and so on. Next, there’s a module that deals with the introduction and setting up of the integrated analysis environment. It will also give a few knowledge about customer environment settings and script editors. This is followed by the module to give an introduction to python, its interfaces, data structures, strings, functions from packages in Python and so on. The next module will give an introduction to python to control and document the procedures in data science. You will also learn about data types, objects loading packages, simple plotting, and control flow. After this, comes the topic to give an idea about accessing and preparing data.
Gradually, you’ll be progressing towards knowledge about mathematical computing with Python. Then comes the topic related to numerical analysis, data visualisation, data exploration, and advanced visualisation of data. This is followed by the module to give an idea about scientific computing with Python, introduction to SkiPy sub-packages, to name a few. The next model will give an introduction to Pandas using Data Analytics and strategies for Pandas. Gradually progressing towards the end, the trainers will impart knowledge regarding data visualisation using tableau, charts using dimensions functions, and measures. The final module will give ideas about machine learning with SkiPy. Get knowledge about regression, classification, model selection, to name a few. The tools you will get an idea about include Python, Excel, SAS, R studio and Tableau.