The Data Science with Python course empowers you to excel in Python programming. In this course, you'll delve into data science, data analysis, data visualization, data wrangling, feature engineering, and statistics. Upon finishing the course, you'll excel in using essential data science tools with Python.
Data science combines statistical analysis, programming skills, and domain expertise to extract insights and knowledge from data. It has become essential to various industries, from healthcare to finance, enabling organizations to make data-driven decisions.
One of the most common uses for Python is in its ability to create and manage data structures quickly — Pandas, for instance, offers a plethora of tools to manipulate, analyze, and even represent data structures and complex datasets.
Pandas. Pandas is one of the best libraries for Python, which is a free software library for data analysis and data handling. It was created as a community library project and was initially released around 2008.
Data science allows businesses to measure performance through data collection to make more educated decisions across the organization by using trends and empirical evidence to help them come up with solutions.
Data science helps businesses understand the market, develop new products, and make better decisions. It also enables the automation of routine tasks so employees can focus on important tasks requiring critical thinking. Many companies have already witnessed the power of data science. One such example is Netflix.
The Data Science with Python course empowers you to excel in Python programming. In this course, you'll delve into data science, data analysis, data visualization, data wrangling, feature engineering, and statistics. Upon finishing the course, you'll excel in using essential data science tools with Python.
Topics in Data Science from TCCI
- Pandas
- Numpy
- Statsmodel
- Histogram
- Matplotlib
- Etc.......
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