Python for Data Analytics for Beginners by Doing Projects
- 3.4
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Brief Introduction
Learn data analytics by doing projects, python from 0 to intermediate, pandas, scipy, sklearn and multiple projectsDescription
You will use different tools for different projects in this course. You will experience the full workflow as a data analyst, including data selection, data manipulation, data visualization for report using real-word dataset. After the course, you will have extensive experience on what are the common task and operations as an data analyst.
Anaconda is needed before course start (Installation Manual and Video Tutorial are provided). Download related data set and documents before starting each topic.
Requirements
- Requirements
- No programming skills needed, course is designed with consideration of non programmers, passion will do
- A laptop to practice python syntax and projects on real data set
- Environment setup manual and video is provided
Knowledge
- Learn the usage of Jupyter Notebook environment.
- Learn Python programming from 0 to intermediate.
- Deal with different data sources: json, CSV, API
- Use Numpy library to create and manipulate arrays.
- Use Scipy library to create and manipulate data
- Use the pandas module with Python to create and structure data.
- Visualize data using matplotlib in Python.
- Make informed prediction with popular machine learning models in SKlearn.
- Write simple calculator using Python
- Predict the best location to open an Mexican restaurant using yelp data set
- Job referral to world's top IT companies.
Xcourse Team
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