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Python Course For Data Science
Become proper good with Python for Data Science work and make your Business Intelligence skills shine bright with this short and sweet course. You go learn how to clean data proper proper, like removing things that are double and fixing things that look strange, and you go dig into how sales are doing, seeing which areas and products are selling well. You go learn how to put data in, fix it up, and count important things. You go get better at telling people what you find using Jupyter Notebook, and you go figure out how to make sales better and manage what you have in the stores.
- Clean data proper: Remove double things, make everything look the same, and fix things that look strange proper proper.
- Look at sales data: Check sales by area, product, and how they change over time.
- Fix up data: Change how things are written, deal with things missing, and put CSV files in using Pandas.
- Count important things: Figure out total money made, money made by area, and how many things sold on average.
- Tell people what you find: Put your findings in order and show them using Jupyter Notebook.

from 4 to 360h flexible workload
certificate recognized by MEC
What will I learn?
Become proper good with Python for Data Science work and make your Business Intelligence skills shine bright with this short and sweet course. You go learn how to clean data proper proper, like removing things that are double and fixing things that look strange, and you go dig into how sales are doing, seeing which areas and products are selling well. You go learn how to put data in, fix it up, and count important things. You go get better at telling people what you find using Jupyter Notebook, and you go figure out how to make sales better and manage what you have in the stores.
Elevify advantages
Develop skills
- Clean data proper: Remove double things, make everything look the same, and fix things that look strange proper proper.
- Look at sales data: Check sales by area, product, and how they change over time.
- Fix up data: Change how things are written, deal with things missing, and put CSV files in using Pandas.
- Count important things: Figure out total money made, money made by area, and how many things sold on average.
- Tell people what you find: Put your findings in order and show them using Jupyter Notebook.
Suggested summary
Before starting, you can change the chapters and the workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workload.What our students say
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