Data Science Training

A data science training course teaches individuals the skills and techniques needed to work with and analyze large sets of data. This course you’ll learn to manipulate, analyse and visualise data.

The course may also include hands-on projects and exercises to give students practical experience working with real-world data sets.

Content:

• Numpy
• Panda
• Matplotlib
• Scikit/Lean
• Data Cleaning
• Data Visualization
• Machine Learning
• Jupyter Notebook

Outcomes:

• Learn about a broad range of data science and machine learning libraries and resources
• able to perform operations on large datasets efficiently
• to handle missing values, outliers, and duplicate data
• able to create data visualizations, such as line plots, scatter plots, and histograms.
• Able to use machine learning algorithms to make predictions and classify data.
• Able to create and share documents that contain live code, equations, visualizations, and narrative text.
• able to use Python libraries such as Numpy, Pandas, Matplotlib, and Scikit-learn to perform data analysis and machine learning tasks.
• Data cleaning and data preparation