LEAR DATA ANALYSIS WITH PYTHON

Analyzing Data with Python

In this course, you will learn how to analyze data in Python using multidimensional arrays in numpy, manipulate DataFrames in pandas, use the SciPy library for mathematical routines, and perform machine learning using scikit-learn.

LEARN TO ANALYZE DATA WITH PYTHON

Learn to analyze data using Python in this introductory course.
You will go from understanding the basics of Python to exploring many different types of data through classes, practical labs, and assignments. You will learn how to prepare data for analysis, conduct simple statistical analyses, create meaningful data visualizations, predict future trends from data, and much more!

You will learn:

How to import datasets, clean and prepare data for analysis, summarize data, and build data pipelines.

How to use Pandas DataFrames, multidimensional Numpy arrays, and SciPy libraries to work with various datasets.

How to load, manipulate, analyze, and visualize datasets with Pandas, an open-source library.

How to create machine learning models and make predictions with scikit-learn, another open-source library.

Course Components:

Data Analysis Libraries:
You will learn to use Pandas DataFrames, multidimensional Numpy arrays, and SciPy libraries to work with various datasets.
We will introduce you to pandas, an open-source library, and use it to load, manipulate, analyze, and visualize cool datasets.
Additionally, we will introduce another open-source library, scikit-learn, and use some of its machine learning algorithms to build intelligent models and make exciting predictions.

About this Course:
Duration:
- 5 weeks
Time Commitment:
- 4 to 6 hours per week
Price:
- Total Price: $200 cash. Discounted registration fee or three installments of $70 each, Registration fee: $20.
Institution:
- Python-Baires.AR
Topic:
- Data Analysis
Level:
- Introductory
Language:
- English
Video Transcription:
- English
Course Type:
- ONLINE

For more information, you can contact us at:

Our website: https://python-baires.ar/
WhatsApp and Telegram: +54 11 3444-4112
Email: [email protected]