Four hours of data analysis in Python: NumPy, pandas, Matplotlib and Seaborn.
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1 lesson, about 12 hours
A single session on data science, about 12 hours, published on YouTube by freeCodeCamp.org. Watched here on the course page.
1 lesson, about 3 hours
A single session, about 3 hours, published on YouTube by WsCube Tech. Watched here on the course page.
1 lesson, about 1 hour
A single session, about 1 hour, published on YouTube by Onur Baltaci. Watched here on the course page.
1 lesson, about 1 hour
A single session, about 1 hour, published on YouTube by NeuralNine. Watched here on the course page.
1 lesson, 51 minutes
A single session, 51 minutes, published on YouTube by Intellipaat. Watched here on the course page.
1 lesson, 49 minutes
A single session, 49 minutes, published on YouTube by Intellipaat. Watched here on the course page.
24 hours
Twenty-four hours of business analytics: the statistics, the tools and the reporting.
5 hours
Five hours on analysing data in Python, from loading a file to a finished chart.
19 hours
Nineteen hours across SQL, Tableau, Power BI, Python, Excel and pandas — the analyst toolset in one course.
