Analyzing data with Python is an essential skill for Data Scientists and Data Analysts. This course will take you from the basics of data analysis with Python to building and evaluating data models.

Acerca de este Curso
You should have a working knowledge of Python and Jupyter Notebooks.
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Prueba Coursera para negociosQué aprenderás
Develop Python code for cleaning and preparing data for analysis - including handling missing values, formatting, normalizing, and binning data
Perform exploratory data analysis and apply analytical techniques to real-word datasets using libraries such as Pandas, Numpy and Scipy
Manipulate data using dataframes, summarize data, understand data distribution, perform correlation and create data pipelines
Build and evaluate regression models using machine learning scikit-learn library and use them for prediction and decision making
Habilidades que obtendrás
- Predictive Modelling
- Python Programming
- Data Analysis
- Data Visualization (DataViz)
- Model Selection
You should have a working knowledge of Python and Jupyter Notebooks.
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Prueba Coursera para negociosOfrecido por
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Programa - Qué aprenderás en este curso
Importing Datasets
Data Wrangling
Exploratory Data Analysis
Model Development
Reseñas
- 5 stars75,76 %
- 4 stars18,75 %
- 3 stars3,81 %
- 2 stars0,91 %
- 1 star0,75 %
Principales reseñas sobre ANÁLISIS DE DATOS CON PYTHON
I started this course without any knowledge on Data Analysis with Python, and by the end of the course I was able to understand the basics of Data Analysis, usage of different libraries and functions.
It will be helpful if a video is added on:
1) how to store multiple results from different models in single dataframe
2) how to automate the process. More example needed on Grid and Pipeline.
Data analysis with python has a high standard of content.I hope this is useful for me to crack DS interviews.The content is well structured.Quizzes,assignment and video lectures are corelated.
A wonderful course that thoroughly explains the basics of data analysis with python, dealing with using pandas to manipulate data. And the notebooks are really helpful and can help with easy revision.
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